Creator · gmickel
Last updated · Sep 5, 2026
Generate ranked candidate ideas grounded in the repo, upstream of /flow-next:plan. Triggers on /flow-next:prospect with an optional focus hint (concept, path, constraint, or volume).
Creator · gmickel
Last updated · Sep 5, 2026
Generate ranked candidate ideas grounded in the repo, upstream of /flow-next:plan. Triggers on /flow-next:prospect with an optional focus hint (concept, path, constraint, or volume).
Creator · gmickel
Last updated · Sep 5, 2026
Generate ranked candidate ideas grounded in the repo, upstream of /flow-next:plan. Triggers on /flow-next:prospect with an optional focus hint (concept, path, constraint, or volume).
Creator · gmickel
Last updated · Sep 5, 2026
Generate ranked candidate ideas grounded in the repo, upstream of /flow-next:plan. Triggers on /flow-next:prospect with an optional focus hint (concept, path, constraint, or volume).
Sandbox only
Install targets
Codex install prompt
Install the "flow-next-prospect" agent skill from https://github.com/gmickel/flow-next/tree/main/optimization/capture/baseline. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Generate ranked candidate ideas grounded in the repo, upstream of /flow-next:plan. Triggers on /flow-next:prospect with an optional focus hint (concept, path, constraint, or volume). After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"gmickel-flow-next-prospect","task":"Install flow-next-prospect","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add gmickel/flow-next --skill flow-next-prospect
Maintenance
fresh
1d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
691
75/100 Quality · 76/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
691 GitHub stars
Repo activity
691 stars, 55 forks
Maintenance
1d since push
License
MIT
Install
npx skills add gmickel/flow-next --skill flow-next-prospect
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add gmickel/flow-next --skill flow-next-prospectDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
28.0K Stars
npx skills add assafelovic/gpt-researcher
Agent safety v2
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill may drive a browser or interact with web pages.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20flow-next-prospect%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20flow-next-prospect%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/gmickel-flow-next-prospect/install
Agent should check
Copy prompt
Task: Use flow-next-prospect in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20flow-next-prospect%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/gmickel-flow-next-prospect/install
Install command: npx skills add gmickel/flow-next --skill flow-next-prospect
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/gmickel-flow-next-prospect/install
LLM text format
/api/skills/gmickel-flow-next-prospect/install?format=text
Find alternatives
/api/skills/search?q=flow-next-prospect&limit=3
Agent prompt
Use flow-next-prospect for this task. Review https://www.openagentskill.com/api/skills/gmickel-flow-next-prospect/install, then install with: npx skills add gmickel/flow-next --skill flow-next-prospectRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/gmickel-flow-next-prospect
LLM text
/api/registry/manifest/gmickel-flow-next-prospect?format=text
Install alias
/api/registry/install/gmickel-flow-next-prospect
Recommend
/api/registry/recommend?task=Use%20flow-next-prospect%20in%20an%20agent%20workflow&limit=3
Agent fit
Local desktop
Use-case tags
Platforms
Claude Code, OpenAI Agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Local desktop
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO691 GitHub stars
Stars/forks activity
INFO691 stars, 55 forks; issue activity unavailable in current metadata
Recent maintenance
PASS1d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Parse messy files
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Run autonomous deep research over web and local sources
--- name: flow-next-capture description: Synthesize the current conversation context into a flow-next spec at `.flow/specs/<spec-id>.md` via `flowctl spec create + spec set-plan` — agent-native, source-tagged, with mandatory read-back before write. Triggers on /flow-next:capture, "capture spec", "lock down what we discussed", "make a spec from this conversation", "convert conversation to spec". Optional `mode:autofix` token runs without questions and requires `--yes` to commit. Optional `--rewrite <spec-id>` overwrites an existing spec; `--from-compacted-ok` overrides the compaction-detection refusal; `--override-strategy` proceeds despite a contradiction with an active STRATEGY.md track (and prompts to record the override as a decision). user-invocable: false allowed-tools: AskUserQuestion, Read, Bash, Grep, Glob, Write, Edit, Task ---
# /flow-next:capture — agent-native conversation → spec
A free-form discussion (or a `/flow-next:prospect` survivor) frequently produces enough material for a complete spec, but stops short of the formal `flowctl spec create` + `spec set-plan` heredoc documented in `CLAUDE.md`. Without an explicit synthesis step, that context decays — the next session loses the conversation, the spec never lands, and the user re-explains the same idea to `/flow-next:plan`.
This skill IS the synthesis. The host agent (Claude Code / Codex / Droid) extracts the recent user turns, drafts a CLAUDE.md-shaped spec with **per-line source tags** (`[user]` / `[paraphrase]` / `[inferred]`), shows the full draft back via `AskUserQuestion`, and only then writes the spec via existing flowctl plumbing. There is no Python synthesizer, no codex / copilot subprocess, no fast-model classifier. The host agent is already an LLM and does the work directly.
flowctl provides only thin spec plumbing (`spec create`, `spec set-plan`, optional `spec set-branch`, `memory search` for duplicate detection). No new flowctl subcommands.
**Read [workflow.md](workflow.md) for the full phase-by-phase execution. Read [phases.md](phases.md) for the must-ask cases lookup, source-tag taxonomy, confidence tiers, and forbidden-behaviors list.**
## Preamble
**CRITICAL: flowctl is BUNDLED — NOT installed globally.** `which flowctl` will fail (expected). Define once; subsequent blocks (here and in `workflow.md` / `phases.md`) use `$FLOWCTL`:
```bash FLOWCTL="${DROID_PLUGIN_ROOT:-${CLAUDE_PLUGIN_ROOT}}/scripts/flowctl" [ -x "$FLOWCTL" ] || FLOWCTL=".flow/bin/flowctl" ```
**Inline skill (no `context: fork`)** — `AskUserQuestion` must stay reachable across phases. Subagents can't call blocking question tools (Claude Code issues #12890, #34592). Phase 0 (duplicate detection) and Phase 4 (read-back loop) both require user choice in interactive mode. (sync-codex.sh rewrites this to a plain-text numbered prompt in the Codex mirror.)
## Mode Detection
Parse `$ARGUMENTS` for the literal token `mode:autofix` and the flags `--rewrite <spec-id>`, `--from-compacted-ok`, `--yes`, `--override-strategy`. Strip recognized tokens; whatever remains is treated as freeform context (ignored — the conversation is the input, not `$ARGUMENTS`).
```bash RAW_ARGS="$ARGUMENTS" MODE="interactive" REWRITE_TARGET="" FROM_COMPACTED_OK=0 COMMIT_YES=0 OVERRIDE_STRATEGY=0
# Mode token if [[ "$RAW_ARGS" == *"mode:autofix"* ]]; then MODE="autofix" RAW_ARGS="${RAW_ARGS//mode:autofix/}" fi
# --rewrite <id> if [[ "$RAW_ARGS" =~ --rewrite[[:space:]]+([^[:space:]]+) ]]; then REWRITE_TARGET="${BASH_REMATCH[1]}" RAW_ARGS="${RAW_ARGS//--rewrite ${REWRITE_TARGET}/}" fi
# --from-compacted-ok if [[ "$RAW_ARGS" == *"--from-compacted-ok"* ]]; then FROM_COMPACTED_OK=1 RAW_ARGS="${RAW_ARGS//--from-compacted-ok/}" fi
# --yes (autofix commit gate) if [[ "$RAW_ARGS" == *"--yes"* ]]; then COMMIT_YES=1 RAW_ARGS="${RAW_ARGS//--yes/}" fi
# --override-strategy (Phase 5.0 strategy-contradiction override) if [[ "$RAW_ARGS" == *"--override-strategy"* ]]; then OVERRIDE_STRATEGY=1 RAW_ARGS="${RAW_ARGS//--override-strategy/}" fi ```
| Mode | When | Behavior | |------|------|----------| | **Interactive** (default) | User is at the terminal | Phase 0 asks on duplicate detection; Phase 3 asks on must-ask ambiguities; Phase 4 read-back via blocking-question tool — write only on `approve` | | **Autofix** (`mode:autofix`) | Batch usage from another skill / scripted invocation | No user questions. Phase 0 hard-errors on duplicates / compaction without explicit overrides. Phase 3 must-ask cases hard-error (autofix can't ask). Phase 4 Writes the full draft once (the Write render is the emission) + prints the summary tally to stdout. **Writes to `.flow/` ONLY when `--yes` is also passed**; without `--yes`, exit 0 with "draft written; rerun with --yes to commit" |
### Autofix mode rules
- **No user questions.** Never call the blocking-question tool. - **Phase 0 hard-errors:** duplicate detected → list overlapping spec IDs to stderr, exit 2 unless `--rewrite <id>` was passed; compaction detected → exit 2 unless `--from-compacted-ok` was passed. - **Phase 3 must-ask hard-errors:** ambiguous title / untestable acceptance / scope-conflict-with-existing-spec → exit 2 with which case fired and why. Autofix cannot resolve must-ask cases. - **Phase 4 single emission, no `.flow/` write.** Full draft Written once to the §4.1 draft file (the Write render is the full emission — all sections + R-IDs); summary payload (`[inferred]` tally + 8+ acceptance suggestion if applicable) printed to stdout. Without `--yes`, exit 0 with the "rerun with --yes" hint. With `--yes`, proceed to Phase 5 write. - **Phase 5 commits identically to interactive once it runs.** - **Readiness never written.** The mark-ready write (workflow.md §5.9) is interactive-consent-only; autofix prints a footer suggestion at most (and only when readiness is adopted, no `tracker.readyState`, and the spec was written). The `--rewrite` readiness reset (§5.3) still runs — it is idempotent plumbing, not a consent question.
## Ralph-block (R13) — runs first, before everything else
`/flow-next:capture` requires conversation context + user confirmation. Autonomous loops have neither. Hard-error with exit 2 when running under Ralph.
```bash if [[ -n "${REVIEW_RECEIPT_PATH:-}" || "${FLOW_RALPH:-}" == "1" ]]; then echo "Error: /flow-next:capture requires conversation context + a user at the terminal; not compatible with Ralph mode (REVIEW_RECEIPT_PATH or FLOW_RALPH detected)." >&2 exit 2 fi ```
No env-var opt-in. Ralph never decides direction.
## Interaction Principles (interactive mode only)
In autofix mode, skip user questions entirely and apply the rules above.
In interactive mode:
- Ask **one question at a time** via `AskUserQuestion` (call `ToolSearch` with `select:AskUserQuestion` first if its schema isn't loaded). Fall back to numbered options in plain text only if the tool is unreachable or errors. Never silently skip the question. - **Lead with the recommended option** and a one-sentence rationale, followed by a confidence marker — `[high]` / `[judgment-call]` / `[your-call]`. The body carries the recommendation; option labels stay neutral so the user isn't anchored on the option text itself. (See [phases.md](phases.md) §Confidence tiers.) - Prefer **multiple choice** when natural options exist (Phase 0 duplicate decision; Phase 4 approve/edit/abort). - **Do not ask the user for facts** they already gave you in conversation — Phase 1 extracts evidence first; Phase 3 asks only on the three hard-error must-ask cases plus genuinely missing context that can't be inferred.
The goal is automated synthesis with human oversight on judgment calls — not a question for every section.
## Forbidden behaviors (R10)
- **Tech-stack mentions the user did not state.** "Needs persistence" is fine; "uses PostgreSQL" needs the user to have said PostgreSQL. Defer technology choices to `/flow-next:plan` (spec-kit convention — capture writes intent, plan writes implementation). - **Inventing acceptance criteria not in conversation.** Every acceptance criterion must be source-tagged; pure `[inferred]` criteria must surface at Phase 4 read-back so the user can reject them. - **Code snippets or specific file paths in the spec body.** Those belong in `/flow-next:plan` task specs after research lands. Capture's output is a high-level spec, not an implementation guide. - **Silent overwrite of an existing spec.** Idempotency requires `--rewrite <spec-id>` (R8). Without it, Phase 0 conflict-detection branches into extend / supersede / proceed-anyway. - **Auto-splitting a spec that has 8+ acceptance criteria.** Phase 4 surfaces the option to split; the user decides. Never auto-action a split. - **Setting `context: fork`** — blocking-question tools must stay reachable. - **Calling `flowctl spec create` before Phase 4 approval.** Phase 5 is the only write phase. - **Writing glossary terms without consent, or in autofix mode.** Term-adds require the Phase 4.2 `Glossary?` approval; autofix prints suggestions only (`--yes` consents to the spec write, not to vocabulary changes). The gate is husk-aware (`glossary list --json` `total_terms > 0`) — seeding an empty glossary is `/flow-next:prime`'s job, never capture's. - **Using `git add -A` from this skill.** When committing the new spec, stage only the JSON sidecar (`.flow/specs/<id>.json` post-1.0; `.flow/epics/<id>.json` on alias-mode 0.x repos that haven't migrated yet) + `.flow/specs/<id>.md` (and `.flow/meta.json` if the next-id counter mutated). Other working-tree changes are not capture's concern.
## Pre-check: local setup version
Same pattern as `/flow-next:audit` and `/flow-next:prospect` — non-blocking notice when `.flow/meta.json` `setup_version` lags the plugin version:
```bash if [[ -f .flow/meta.json ]]; then SETUP_VER=$(jq -r '.setup_version // empty' .flow/meta.json 2>/dev/null) PLUGIN_JSON="${DROID_PLUGIN_ROOT:-${CLAUDE_PLUGIN_ROOT}}/.claude-plugin/plugin.json" PLUGIN_VER=$(jq -r '.version' "$PLUGIN_JSON" 2>/dev/null || echo "unknown") if [[ -n "$SETUP_VER" && "$PLUGIN_VER" != "unknown" && "$SETUP_VER" != "$PLUGIN_VER" ]]; then echo "Plugin updated to v${PLUGIN_VER}. Run /flow-next:setup to refresh local scripts (current: v${SETUP_VER})." >&2 fi fi ```
## Workflow
Execute the phases in [workflow.md](workflow.md) in order:
0. **Pre-flight** — duplicate detection (scan `.flow/specs/` + `.flow/epics/` for legacy alias-mode repos + `flowctl memory search` on extracted keywords); compaction detection (scan transcript for truncation markers); idempotency (refuse silent overwrite without `--rewrite`). 1. **Extract conversation evidence** — build a verbatim `## Conversation Evidence` block FIRST (raw quotes from recent user turns, capped ~30 lines). Spec sections refer to it by line, not from agent memory. 2. **Source-tagged synthesis** — draft each section with per-line tags (`[user]` / `[paraphrase]` / `[inferred]`). Apply the canonical template at [`plugins/flow-next/templates/spec.md`](../../templates/spec.md) (per R17 — cross-link, never re-embed the section list inline). At runtime the template is resolved via the 4-tier discovery cascade — first match wins: `<repo_root>/SPEC.md` → `<repo_root>/spec.md` → `.flow/templates/spec.md` → bundled `${PLUGIN_ROOT}/templates/spec.md`. The bundled file is the canonical source of truth; earlier tiers are user-customized overrides. Route explicit biz-context signals (nine SIGNAL CATEGORIES per fn-44 R24, only `[user]` / `[paraphrase]` tags) to their destinations; sections without conversation signal stay absent. Compute `BIZ_SIGNAL_CATEGORIES` (0..9) for Phase 6's R25 dispatch. 3. **Must-ask cases (R9)** — interactive only; autofix exits 2 if any fire. Hard-error conditions: ambiguous title / untestable acceptance / scope-conflict. Optional ambiguities use lead-with-recommendation + confidence tier. 4. **Read-back loop (mandatory, even in autofix)** — Write the full draft ONCE to a liter
Source provenance
Decision snapshot
691 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for flow-next-prospect, ready for a manual X post.
flow-next-prospect: Generate ranked candidate ideas grounded in the repo, upstream of /flow-next:plan. Triggers o... 691 stars https://www.openagentskill.com/skills/gmickel-flow-next-prospect?ref=x
Listing + install path for flow-next-prospect: https://www.openagentskill.com/skills/gmickel-flow-next-prospect?ref=x Install: npx skills add gmickel/flow-next --skill flow-next-prospect
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to gmickel but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/gmickel-flow-next-prospect?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/gmickel-flow-next-prospect?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/gmickel-flow-next-prospect/audit)
[](https://www.openagentskill.com/skills/gmickel-flow-next-prospect?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)gmickel
@gmickel
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K StarsGPT Researcher
Run autonomous deep research over web and local sources
28.0K StarsSandbox only
Install targets
Codex install prompt
Install the "flow-next-prospect" agent skill from https://github.com/gmickel/flow-next/tree/main/optimization/capture/baseline. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Generate ranked candidate ideas grounded in the repo, upstream of /flow-next:plan. Triggers on /flow-next:prospect with an optional focus hint (concept, path, constraint, or volume). After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"gmickel-flow-next-prospect","task":"Install flow-next-prospect","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add gmickel/flow-next --skill flow-next-prospect
Maintenance
fresh
1d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
691
75/100 Quality · 76/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
691 GitHub stars
Repo activity
691 stars, 55 forks
Maintenance
1d since push
License
MIT
Install
npx skills add gmickel/flow-next --skill flow-next-prospect
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add gmickel/flow-next --skill flow-next-prospectDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
28.0K Stars
npx skills add assafelovic/gpt-researcher
Agent safety v2
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill may drive a browser or interact with web pages.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20flow-next-prospect%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20flow-next-prospect%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/gmickel-flow-next-prospect/install
Agent should check
Copy prompt
Task: Use flow-next-prospect in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20flow-next-prospect%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/gmickel-flow-next-prospect/install
Install command: npx skills add gmickel/flow-next --skill flow-next-prospect
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/gmickel-flow-next-prospect/install
LLM text format
/api/skills/gmickel-flow-next-prospect/install?format=text
Find alternatives
/api/skills/search?q=flow-next-prospect&limit=3
Agent prompt
Use flow-next-prospect for this task. Review https://www.openagentskill.com/api/skills/gmickel-flow-next-prospect/install, then install with: npx skills add gmickel/flow-next --skill flow-next-prospectRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/gmickel-flow-next-prospect
LLM text
/api/registry/manifest/gmickel-flow-next-prospect?format=text
Install alias
/api/registry/install/gmickel-flow-next-prospect
Recommend
/api/registry/recommend?task=Use%20flow-next-prospect%20in%20an%20agent%20workflow&limit=3
Agent fit
Local desktop
Use-case tags
Platforms
Claude Code, OpenAI Agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Local desktop
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO691 GitHub stars
Stars/forks activity
INFO691 stars, 55 forks; issue activity unavailable in current metadata
Recent maintenance
PASS1d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Parse messy files
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Run autonomous deep research over web and local sources
--- name: flow-next-capture description: Synthesize the current conversation context into a flow-next spec at `.flow/specs/<spec-id>.md` via `flowctl spec create + spec set-plan` — agent-native, source-tagged, with mandatory read-back before write. Triggers on /flow-next:capture, "capture spec", "lock down what we discussed", "make a spec from this conversation", "convert conversation to spec". Optional `mode:autofix` token runs without questions and requires `--yes` to commit. Optional `--rewrite <spec-id>` overwrites an existing spec; `--from-compacted-ok` overrides the compaction-detection refusal; `--override-strategy` proceeds despite a contradiction with an active STRATEGY.md track (and prompts to record the override as a decision). user-invocable: false allowed-tools: AskUserQuestion, Read, Bash, Grep, Glob, Write, Edit, Task ---
# /flow-next:capture — agent-native conversation → spec
A free-form discussion (or a `/flow-next:prospect` survivor) frequently produces enough material for a complete spec, but stops short of the formal `flowctl spec create` + `spec set-plan` heredoc documented in `CLAUDE.md`. Without an explicit synthesis step, that context decays — the next session loses the conversation, the spec never lands, and the user re-explains the same idea to `/flow-next:plan`.
This skill IS the synthesis. The host agent (Claude Code / Codex / Droid) extracts the recent user turns, drafts a CLAUDE.md-shaped spec with **per-line source tags** (`[user]` / `[paraphrase]` / `[inferred]`), shows the full draft back via `AskUserQuestion`, and only then writes the spec via existing flowctl plumbing. There is no Python synthesizer, no codex / copilot subprocess, no fast-model classifier. The host agent is already an LLM and does the work directly.
flowctl provides only thin spec plumbing (`spec create`, `spec set-plan`, optional `spec set-branch`, `memory search` for duplicate detection). No new flowctl subcommands.
**Read [workflow.md](workflow.md) for the full phase-by-phase execution. Read [phases.md](phases.md) for the must-ask cases lookup, source-tag taxonomy, confidence tiers, and forbidden-behaviors list.**
## Preamble
**CRITICAL: flowctl is BUNDLED — NOT installed globally.** `which flowctl` will fail (expected). Define once; subsequent blocks (here and in `workflow.md` / `phases.md`) use `$FLOWCTL`:
```bash FLOWCTL="${DROID_PLUGIN_ROOT:-${CLAUDE_PLUGIN_ROOT}}/scripts/flowctl" [ -x "$FLOWCTL" ] || FLOWCTL=".flow/bin/flowctl" ```
**Inline skill (no `context: fork`)** — `AskUserQuestion` must stay reachable across phases. Subagents can't call blocking question tools (Claude Code issues #12890, #34592). Phase 0 (duplicate detection) and Phase 4 (read-back loop) both require user choice in interactive mode. (sync-codex.sh rewrites this to a plain-text numbered prompt in the Codex mirror.)
## Mode Detection
Parse `$ARGUMENTS` for the literal token `mode:autofix` and the flags `--rewrite <spec-id>`, `--from-compacted-ok`, `--yes`, `--override-strategy`. Strip recognized tokens; whatever remains is treated as freeform context (ignored — the conversation is the input, not `$ARGUMENTS`).
```bash RAW_ARGS="$ARGUMENTS" MODE="interactive" REWRITE_TARGET="" FROM_COMPACTED_OK=0 COMMIT_YES=0 OVERRIDE_STRATEGY=0
# Mode token if [[ "$RAW_ARGS" == *"mode:autofix"* ]]; then MODE="autofix" RAW_ARGS="${RAW_ARGS//mode:autofix/}" fi
# --rewrite <id> if [[ "$RAW_ARGS" =~ --rewrite[[:space:]]+([^[:space:]]+) ]]; then REWRITE_TARGET="${BASH_REMATCH[1]}" RAW_ARGS="${RAW_ARGS//--rewrite ${REWRITE_TARGET}/}" fi
# --from-compacted-ok if [[ "$RAW_ARGS" == *"--from-compacted-ok"* ]]; then FROM_COMPACTED_OK=1 RAW_ARGS="${RAW_ARGS//--from-compacted-ok/}" fi
# --yes (autofix commit gate) if [[ "$RAW_ARGS" == *"--yes"* ]]; then COMMIT_YES=1 RAW_ARGS="${RAW_ARGS//--yes/}" fi
# --override-strategy (Phase 5.0 strategy-contradiction override) if [[ "$RAW_ARGS" == *"--override-strategy"* ]]; then OVERRIDE_STRATEGY=1 RAW_ARGS="${RAW_ARGS//--override-strategy/}" fi ```
| Mode | When | Behavior | |------|------|----------| | **Interactive** (default) | User is at the terminal | Phase 0 asks on duplicate detection; Phase 3 asks on must-ask ambiguities; Phase 4 read-back via blocking-question tool — write only on `approve` | | **Autofix** (`mode:autofix`) | Batch usage from another skill / scripted invocation | No user questions. Phase 0 hard-errors on duplicates / compaction without explicit overrides. Phase 3 must-ask cases hard-error (autofix can't ask). Phase 4 Writes the full draft once (the Write render is the emission) + prints the summary tally to stdout. **Writes to `.flow/` ONLY when `--yes` is also passed**; without `--yes`, exit 0 with "draft written; rerun with --yes to commit" |
### Autofix mode rules
- **No user questions.** Never call the blocking-question tool. - **Phase 0 hard-errors:** duplicate detected → list overlapping spec IDs to stderr, exit 2 unless `--rewrite <id>` was passed; compaction detected → exit 2 unless `--from-compacted-ok` was passed. - **Phase 3 must-ask hard-errors:** ambiguous title / untestable acceptance / scope-conflict-with-existing-spec → exit 2 with which case fired and why. Autofix cannot resolve must-ask cases. - **Phase 4 single emission, no `.flow/` write.** Full draft Written once to the §4.1 draft file (the Write render is the full emission — all sections + R-IDs); summary payload (`[inferred]` tally + 8+ acceptance suggestion if applicable) printed to stdout. Without `--yes`, exit 0 with the "rerun with --yes" hint. With `--yes`, proceed to Phase 5 write. - **Phase 5 commits identically to interactive once it runs.** - **Readiness never written.** The mark-ready write (workflow.md §5.9) is interactive-consent-only; autofix prints a footer suggestion at most (and only when readiness is adopted, no `tracker.readyState`, and the spec was written). The `--rewrite` readiness reset (§5.3) still runs — it is idempotent plumbing, not a consent question.
## Ralph-block (R13) — runs first, before everything else
`/flow-next:capture` requires conversation context + user confirmation. Autonomous loops have neither. Hard-error with exit 2 when running under Ralph.
```bash if [[ -n "${REVIEW_RECEIPT_PATH:-}" || "${FLOW_RALPH:-}" == "1" ]]; then echo "Error: /flow-next:capture requires conversation context + a user at the terminal; not compatible with Ralph mode (REVIEW_RECEIPT_PATH or FLOW_RALPH detected)." >&2 exit 2 fi ```
No env-var opt-in. Ralph never decides direction.
## Interaction Principles (interactive mode only)
In autofix mode, skip user questions entirely and apply the rules above.
In interactive mode:
- Ask **one question at a time** via `AskUserQuestion` (call `ToolSearch` with `select:AskUserQuestion` first if its schema isn't loaded). Fall back to numbered options in plain text only if the tool is unreachable or errors. Never silently skip the question. - **Lead with the recommended option** and a one-sentence rationale, followed by a confidence marker — `[high]` / `[judgment-call]` / `[your-call]`. The body carries the recommendation; option labels stay neutral so the user isn't anchored on the option text itself. (See [phases.md](phases.md) §Confidence tiers.) - Prefer **multiple choice** when natural options exist (Phase 0 duplicate decision; Phase 4 approve/edit/abort). - **Do not ask the user for facts** they already gave you in conversation — Phase 1 extracts evidence first; Phase 3 asks only on the three hard-error must-ask cases plus genuinely missing context that can't be inferred.
The goal is automated synthesis with human oversight on judgment calls — not a question for every section.
## Forbidden behaviors (R10)
- **Tech-stack mentions the user did not state.** "Needs persistence" is fine; "uses PostgreSQL" needs the user to have said PostgreSQL. Defer technology choices to `/flow-next:plan` (spec-kit convention — capture writes intent, plan writes implementation). - **Inventing acceptance criteria not in conversation.** Every acceptance criterion must be source-tagged; pure `[inferred]` criteria must surface at Phase 4 read-back so the user can reject them. - **Code snippets or specific file paths in the spec body.** Those belong in `/flow-next:plan` task specs after research lands. Capture's output is a high-level spec, not an implementation guide. - **Silent overwrite of an existing spec.** Idempotency requires `--rewrite <spec-id>` (R8). Without it, Phase 0 conflict-detection branches into extend / supersede / proceed-anyway. - **Auto-splitting a spec that has 8+ acceptance criteria.** Phase 4 surfaces the option to split; the user decides. Never auto-action a split. - **Setting `context: fork`** — blocking-question tools must stay reachable. - **Calling `flowctl spec create` before Phase 4 approval.** Phase 5 is the only write phase. - **Writing glossary terms without consent, or in autofix mode.** Term-adds require the Phase 4.2 `Glossary?` approval; autofix prints suggestions only (`--yes` consents to the spec write, not to vocabulary changes). The gate is husk-aware (`glossary list --json` `total_terms > 0`) — seeding an empty glossary is `/flow-next:prime`'s job, never capture's. - **Using `git add -A` from this skill.** When committing the new spec, stage only the JSON sidecar (`.flow/specs/<id>.json` post-1.0; `.flow/epics/<id>.json` on alias-mode 0.x repos that haven't migrated yet) + `.flow/specs/<id>.md` (and `.flow/meta.json` if the next-id counter mutated). Other working-tree changes are not capture's concern.
## Pre-check: local setup version
Same pattern as `/flow-next:audit` and `/flow-next:prospect` — non-blocking notice when `.flow/meta.json` `setup_version` lags the plugin version:
```bash if [[ -f .flow/meta.json ]]; then SETUP_VER=$(jq -r '.setup_version // empty' .flow/meta.json 2>/dev/null) PLUGIN_JSON="${DROID_PLUGIN_ROOT:-${CLAUDE_PLUGIN_ROOT}}/.claude-plugin/plugin.json" PLUGIN_VER=$(jq -r '.version' "$PLUGIN_JSON" 2>/dev/null || echo "unknown") if [[ -n "$SETUP_VER" && "$PLUGIN_VER" != "unknown" && "$SETUP_VER" != "$PLUGIN_VER" ]]; then echo "Plugin updated to v${PLUGIN_VER}. Run /flow-next:setup to refresh local scripts (current: v${SETUP_VER})." >&2 fi fi ```
## Workflow
Execute the phases in [workflow.md](workflow.md) in order:
0. **Pre-flight** — duplicate detection (scan `.flow/specs/` + `.flow/epics/` for legacy alias-mode repos + `flowctl memory search` on extracted keywords); compaction detection (scan transcript for truncation markers); idempotency (refuse silent overwrite without `--rewrite`). 1. **Extract conversation evidence** — build a verbatim `## Conversation Evidence` block FIRST (raw quotes from recent user turns, capped ~30 lines). Spec sections refer to it by line, not from agent memory. 2. **Source-tagged synthesis** — draft each section with per-line tags (`[user]` / `[paraphrase]` / `[inferred]`). Apply the canonical template at [`plugins/flow-next/templates/spec.md`](../../templates/spec.md) (per R17 — cross-link, never re-embed the section list inline). At runtime the template is resolved via the 4-tier discovery cascade — first match wins: `<repo_root>/SPEC.md` → `<repo_root>/spec.md` → `.flow/templates/spec.md` → bundled `${PLUGIN_ROOT}/templates/spec.md`. The bundled file is the canonical source of truth; earlier tiers are user-customized overrides. Route explicit biz-context signals (nine SIGNAL CATEGORIES per fn-44 R24, only `[user]` / `[paraphrase]` tags) to their destinations; sections without conversation signal stay absent. Compute `BIZ_SIGNAL_CATEGORIES` (0..9) for Phase 6's R25 dispatch. 3. **Must-ask cases (R9)** — interactive only; autofix exits 2 if any fire. Hard-error conditions: ambiguous title / untestable acceptance / scope-conflict. Optional ambiguities use lead-with-recommendation + confidence tier. 4. **Read-back loop (mandatory, even in autofix)** — Write the full draft ONCE to a liter
Source provenance
Decision snapshot
691 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for flow-next-prospect, ready for a manual X post.
flow-next-prospect: Generate ranked candidate ideas grounded in the repo, upstream of /flow-next:plan. Triggers o... 691 stars https://www.openagentskill.com/skills/gmickel-flow-next-prospect?ref=x
Listing + install path for flow-next-prospect: https://www.openagentskill.com/skills/gmickel-flow-next-prospect?ref=x Install: npx skills add gmickel/flow-next --skill flow-next-prospect
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to gmickel but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/gmickel-flow-next-prospect?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/gmickel-flow-next-prospect?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/gmickel-flow-next-prospect/audit)
[](https://www.openagentskill.com/skills/gmickel-flow-next-prospect?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)gmickel
@gmickel
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K StarsGPT Researcher
Run autonomous deep research over web and local sources
28.0K StarsSandbox only
Install targets
Codex install prompt
Install the "flow-next-prospect" agent skill from https://github.com/gmickel/flow-next/tree/main/optimization/capture/baseline. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Generate ranked candidate ideas grounded in the repo, upstream of /flow-next:plan. Triggers on /flow-next:prospect with an optional focus hint (concept, path, constraint, or volume). After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"gmickel-flow-next-prospect","task":"Install flow-next-prospect","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add gmickel/flow-next --skill flow-next-prospect
Maintenance
fresh
1d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
691
75/100 Quality · 76/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
691 GitHub stars
Repo activity
691 stars, 55 forks
Maintenance
1d since push
License
MIT
Install
npx skills add gmickel/flow-next --skill flow-next-prospect
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add gmickel/flow-next --skill flow-next-prospectDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
28.0K Stars
npx skills add assafelovic/gpt-researcher
Agent safety v2
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill may drive a browser or interact with web pages.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20flow-next-prospect%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20flow-next-prospect%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/gmickel-flow-next-prospect/install
Agent should check
Copy prompt
Task: Use flow-next-prospect in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20flow-next-prospect%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/gmickel-flow-next-prospect/install
Install command: npx skills add gmickel/flow-next --skill flow-next-prospect
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/gmickel-flow-next-prospect/install
LLM text format
/api/skills/gmickel-flow-next-prospect/install?format=text
Find alternatives
/api/skills/search?q=flow-next-prospect&limit=3
Agent prompt
Use flow-next-prospect for this task. Review https://www.openagentskill.com/api/skills/gmickel-flow-next-prospect/install, then install with: npx skills add gmickel/flow-next --skill flow-next-prospectRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/gmickel-flow-next-prospect
LLM text
/api/registry/manifest/gmickel-flow-next-prospect?format=text
Install alias
/api/registry/install/gmickel-flow-next-prospect
Recommend
/api/registry/recommend?task=Use%20flow-next-prospect%20in%20an%20agent%20workflow&limit=3
Agent fit
Local desktop
Use-case tags
Platforms
Claude Code, OpenAI Agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Local desktop
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO691 GitHub stars
Stars/forks activity
INFO691 stars, 55 forks; issue activity unavailable in current metadata
Recent maintenance
PASS1d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Parse messy files
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Run autonomous deep research over web and local sources
--- name: flow-next-capture description: Synthesize the current conversation context into a flow-next spec at `.flow/specs/<spec-id>.md` via `flowctl spec create + spec set-plan` — agent-native, source-tagged, with mandatory read-back before write. Triggers on /flow-next:capture, "capture spec", "lock down what we discussed", "make a spec from this conversation", "convert conversation to spec". Optional `mode:autofix` token runs without questions and requires `--yes` to commit. Optional `--rewrite <spec-id>` overwrites an existing spec; `--from-compacted-ok` overrides the compaction-detection refusal; `--override-strategy` proceeds despite a contradiction with an active STRATEGY.md track (and prompts to record the override as a decision). user-invocable: false allowed-tools: AskUserQuestion, Read, Bash, Grep, Glob, Write, Edit, Task ---
# /flow-next:capture — agent-native conversation → spec
A free-form discussion (or a `/flow-next:prospect` survivor) frequently produces enough material for a complete spec, but stops short of the formal `flowctl spec create` + `spec set-plan` heredoc documented in `CLAUDE.md`. Without an explicit synthesis step, that context decays — the next session loses the conversation, the spec never lands, and the user re-explains the same idea to `/flow-next:plan`.
This skill IS the synthesis. The host agent (Claude Code / Codex / Droid) extracts the recent user turns, drafts a CLAUDE.md-shaped spec with **per-line source tags** (`[user]` / `[paraphrase]` / `[inferred]`), shows the full draft back via `AskUserQuestion`, and only then writes the spec via existing flowctl plumbing. There is no Python synthesizer, no codex / copilot subprocess, no fast-model classifier. The host agent is already an LLM and does the work directly.
flowctl provides only thin spec plumbing (`spec create`, `spec set-plan`, optional `spec set-branch`, `memory search` for duplicate detection). No new flowctl subcommands.
**Read [workflow.md](workflow.md) for the full phase-by-phase execution. Read [phases.md](phases.md) for the must-ask cases lookup, source-tag taxonomy, confidence tiers, and forbidden-behaviors list.**
## Preamble
**CRITICAL: flowctl is BUNDLED — NOT installed globally.** `which flowctl` will fail (expected). Define once; subsequent blocks (here and in `workflow.md` / `phases.md`) use `$FLOWCTL`:
```bash FLOWCTL="${DROID_PLUGIN_ROOT:-${CLAUDE_PLUGIN_ROOT}}/scripts/flowctl" [ -x "$FLOWCTL" ] || FLOWCTL=".flow/bin/flowctl" ```
**Inline skill (no `context: fork`)** — `AskUserQuestion` must stay reachable across phases. Subagents can't call blocking question tools (Claude Code issues #12890, #34592). Phase 0 (duplicate detection) and Phase 4 (read-back loop) both require user choice in interactive mode. (sync-codex.sh rewrites this to a plain-text numbered prompt in the Codex mirror.)
## Mode Detection
Parse `$ARGUMENTS` for the literal token `mode:autofix` and the flags `--rewrite <spec-id>`, `--from-compacted-ok`, `--yes`, `--override-strategy`. Strip recognized tokens; whatever remains is treated as freeform context (ignored — the conversation is the input, not `$ARGUMENTS`).
```bash RAW_ARGS="$ARGUMENTS" MODE="interactive" REWRITE_TARGET="" FROM_COMPACTED_OK=0 COMMIT_YES=0 OVERRIDE_STRATEGY=0
# Mode token if [[ "$RAW_ARGS" == *"mode:autofix"* ]]; then MODE="autofix" RAW_ARGS="${RAW_ARGS//mode:autofix/}" fi
# --rewrite <id> if [[ "$RAW_ARGS" =~ --rewrite[[:space:]]+([^[:space:]]+) ]]; then REWRITE_TARGET="${BASH_REMATCH[1]}" RAW_ARGS="${RAW_ARGS//--rewrite ${REWRITE_TARGET}/}" fi
# --from-compacted-ok if [[ "$RAW_ARGS" == *"--from-compacted-ok"* ]]; then FROM_COMPACTED_OK=1 RAW_ARGS="${RAW_ARGS//--from-compacted-ok/}" fi
# --yes (autofix commit gate) if [[ "$RAW_ARGS" == *"--yes"* ]]; then COMMIT_YES=1 RAW_ARGS="${RAW_ARGS//--yes/}" fi
# --override-strategy (Phase 5.0 strategy-contradiction override) if [[ "$RAW_ARGS" == *"--override-strategy"* ]]; then OVERRIDE_STRATEGY=1 RAW_ARGS="${RAW_ARGS//--override-strategy/}" fi ```
| Mode | When | Behavior | |------|------|----------| | **Interactive** (default) | User is at the terminal | Phase 0 asks on duplicate detection; Phase 3 asks on must-ask ambiguities; Phase 4 read-back via blocking-question tool — write only on `approve` | | **Autofix** (`mode:autofix`) | Batch usage from another skill / scripted invocation | No user questions. Phase 0 hard-errors on duplicates / compaction without explicit overrides. Phase 3 must-ask cases hard-error (autofix can't ask). Phase 4 Writes the full draft once (the Write render is the emission) + prints the summary tally to stdout. **Writes to `.flow/` ONLY when `--yes` is also passed**; without `--yes`, exit 0 with "draft written; rerun with --yes to commit" |
### Autofix mode rules
- **No user questions.** Never call the blocking-question tool. - **Phase 0 hard-errors:** duplicate detected → list overlapping spec IDs to stderr, exit 2 unless `--rewrite <id>` was passed; compaction detected → exit 2 unless `--from-compacted-ok` was passed. - **Phase 3 must-ask hard-errors:** ambiguous title / untestable acceptance / scope-conflict-with-existing-spec → exit 2 with which case fired and why. Autofix cannot resolve must-ask cases. - **Phase 4 single emission, no `.flow/` write.** Full draft Written once to the §4.1 draft file (the Write render is the full emission — all sections + R-IDs); summary payload (`[inferred]` tally + 8+ acceptance suggestion if applicable) printed to stdout. Without `--yes`, exit 0 with the "rerun with --yes" hint. With `--yes`, proceed to Phase 5 write. - **Phase 5 commits identically to interactive once it runs.** - **Readiness never written.** The mark-ready write (workflow.md §5.9) is interactive-consent-only; autofix prints a footer suggestion at most (and only when readiness is adopted, no `tracker.readyState`, and the spec was written). The `--rewrite` readiness reset (§5.3) still runs — it is idempotent plumbing, not a consent question.
## Ralph-block (R13) — runs first, before everything else
`/flow-next:capture` requires conversation context + user confirmation. Autonomous loops have neither. Hard-error with exit 2 when running under Ralph.
```bash if [[ -n "${REVIEW_RECEIPT_PATH:-}" || "${FLOW_RALPH:-}" == "1" ]]; then echo "Error: /flow-next:capture requires conversation context + a user at the terminal; not compatible with Ralph mode (REVIEW_RECEIPT_PATH or FLOW_RALPH detected)." >&2 exit 2 fi ```
No env-var opt-in. Ralph never decides direction.
## Interaction Principles (interactive mode only)
In autofix mode, skip user questions entirely and apply the rules above.
In interactive mode:
- Ask **one question at a time** via `AskUserQuestion` (call `ToolSearch` with `select:AskUserQuestion` first if its schema isn't loaded). Fall back to numbered options in plain text only if the tool is unreachable or errors. Never silently skip the question. - **Lead with the recommended option** and a one-sentence rationale, followed by a confidence marker — `[high]` / `[judgment-call]` / `[your-call]`. The body carries the recommendation; option labels stay neutral so the user isn't anchored on the option text itself. (See [phases.md](phases.md) §Confidence tiers.) - Prefer **multiple choice** when natural options exist (Phase 0 duplicate decision; Phase 4 approve/edit/abort). - **Do not ask the user for facts** they already gave you in conversation — Phase 1 extracts evidence first; Phase 3 asks only on the three hard-error must-ask cases plus genuinely missing context that can't be inferred.
The goal is automated synthesis with human oversight on judgment calls — not a question for every section.
## Forbidden behaviors (R10)
- **Tech-stack mentions the user did not state.** "Needs persistence" is fine; "uses PostgreSQL" needs the user to have said PostgreSQL. Defer technology choices to `/flow-next:plan` (spec-kit convention — capture writes intent, plan writes implementation). - **Inventing acceptance criteria not in conversation.** Every acceptance criterion must be source-tagged; pure `[inferred]` criteria must surface at Phase 4 read-back so the user can reject them. - **Code snippets or specific file paths in the spec body.** Those belong in `/flow-next:plan` task specs after research lands. Capture's output is a high-level spec, not an implementation guide. - **Silent overwrite of an existing spec.** Idempotency requires `--rewrite <spec-id>` (R8). Without it, Phase 0 conflict-detection branches into extend / supersede / proceed-anyway. - **Auto-splitting a spec that has 8+ acceptance criteria.** Phase 4 surfaces the option to split; the user decides. Never auto-action a split. - **Setting `context: fork`** — blocking-question tools must stay reachable. - **Calling `flowctl spec create` before Phase 4 approval.** Phase 5 is the only write phase. - **Writing glossary terms without consent, or in autofix mode.** Term-adds require the Phase 4.2 `Glossary?` approval; autofix prints suggestions only (`--yes` consents to the spec write, not to vocabulary changes). The gate is husk-aware (`glossary list --json` `total_terms > 0`) — seeding an empty glossary is `/flow-next:prime`'s job, never capture's. - **Using `git add -A` from this skill.** When committing the new spec, stage only the JSON sidecar (`.flow/specs/<id>.json` post-1.0; `.flow/epics/<id>.json` on alias-mode 0.x repos that haven't migrated yet) + `.flow/specs/<id>.md` (and `.flow/meta.json` if the next-id counter mutated). Other working-tree changes are not capture's concern.
## Pre-check: local setup version
Same pattern as `/flow-next:audit` and `/flow-next:prospect` — non-blocking notice when `.flow/meta.json` `setup_version` lags the plugin version:
```bash if [[ -f .flow/meta.json ]]; then SETUP_VER=$(jq -r '.setup_version // empty' .flow/meta.json 2>/dev/null) PLUGIN_JSON="${DROID_PLUGIN_ROOT:-${CLAUDE_PLUGIN_ROOT}}/.claude-plugin/plugin.json" PLUGIN_VER=$(jq -r '.version' "$PLUGIN_JSON" 2>/dev/null || echo "unknown") if [[ -n "$SETUP_VER" && "$PLUGIN_VER" != "unknown" && "$SETUP_VER" != "$PLUGIN_VER" ]]; then echo "Plugin updated to v${PLUGIN_VER}. Run /flow-next:setup to refresh local scripts (current: v${SETUP_VER})." >&2 fi fi ```
## Workflow
Execute the phases in [workflow.md](workflow.md) in order:
0. **Pre-flight** — duplicate detection (scan `.flow/specs/` + `.flow/epics/` for legacy alias-mode repos + `flowctl memory search` on extracted keywords); compaction detection (scan transcript for truncation markers); idempotency (refuse silent overwrite without `--rewrite`). 1. **Extract conversation evidence** — build a verbatim `## Conversation Evidence` block FIRST (raw quotes from recent user turns, capped ~30 lines). Spec sections refer to it by line, not from agent memory. 2. **Source-tagged synthesis** — draft each section with per-line tags (`[user]` / `[paraphrase]` / `[inferred]`). Apply the canonical template at [`plugins/flow-next/templates/spec.md`](../../templates/spec.md) (per R17 — cross-link, never re-embed the section list inline). At runtime the template is resolved via the 4-tier discovery cascade — first match wins: `<repo_root>/SPEC.md` → `<repo_root>/spec.md` → `.flow/templates/spec.md` → bundled `${PLUGIN_ROOT}/templates/spec.md`. The bundled file is the canonical source of truth; earlier tiers are user-customized overrides. Route explicit biz-context signals (nine SIGNAL CATEGORIES per fn-44 R24, only `[user]` / `[paraphrase]` tags) to their destinations; sections without conversation signal stay absent. Compute `BIZ_SIGNAL_CATEGORIES` (0..9) for Phase 6's R25 dispatch. 3. **Must-ask cases (R9)** — interactive only; autofix exits 2 if any fire. Hard-error conditions: ambiguous title / untestable acceptance / scope-conflict. Optional ambiguities use lead-with-recommendation + confidence tier. 4. **Read-back loop (mandatory, even in autofix)** — Write the full draft ONCE to a liter
Source provenance
Decision snapshot
691 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for flow-next-prospect, ready for a manual X post.
flow-next-prospect: Generate ranked candidate ideas grounded in the repo, upstream of /flow-next:plan. Triggers o... 691 stars https://www.openagentskill.com/skills/gmickel-flow-next-prospect?ref=x
Listing + install path for flow-next-prospect: https://www.openagentskill.com/skills/gmickel-flow-next-prospect?ref=x Install: npx skills add gmickel/flow-next --skill flow-next-prospect
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to gmickel but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/gmickel-flow-next-prospect?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/gmickel-flow-next-prospect?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/gmickel-flow-next-prospect/audit)
[](https://www.openagentskill.com/skills/gmickel-flow-next-prospect?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)gmickel
@gmickel
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K StarsGPT Researcher
Run autonomous deep research over web and local sources
28.0K StarsSandbox only
Install targets
Codex install prompt
Install the "flow-next-prospect" agent skill from https://github.com/gmickel/flow-next/tree/main/optimization/capture/baseline. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Generate ranked candidate ideas grounded in the repo, upstream of /flow-next:plan. Triggers on /flow-next:prospect with an optional focus hint (concept, path, constraint, or volume). After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"gmickel-flow-next-prospect","task":"Install flow-next-prospect","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add gmickel/flow-next --skill flow-next-prospect
Maintenance
fresh
1d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
691
75/100 Quality · 76/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
691 GitHub stars
Repo activity
691 stars, 55 forks
Maintenance
1d since push
License
MIT
Install
npx skills add gmickel/flow-next --skill flow-next-prospect
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add gmickel/flow-next --skill flow-next-prospectDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
28.0K Stars
npx skills add assafelovic/gpt-researcher
Agent safety v2
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill may drive a browser or interact with web pages.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20flow-next-prospect%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20flow-next-prospect%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/gmickel-flow-next-prospect/install
Agent should check
Copy prompt
Task: Use flow-next-prospect in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20flow-next-prospect%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/gmickel-flow-next-prospect/install
Install command: npx skills add gmickel/flow-next --skill flow-next-prospect
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/gmickel-flow-next-prospect/install
LLM text format
/api/skills/gmickel-flow-next-prospect/install?format=text
Find alternatives
/api/skills/search?q=flow-next-prospect&limit=3
Agent prompt
Use flow-next-prospect for this task. Review https://www.openagentskill.com/api/skills/gmickel-flow-next-prospect/install, then install with: npx skills add gmickel/flow-next --skill flow-next-prospectRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/gmickel-flow-next-prospect
LLM text
/api/registry/manifest/gmickel-flow-next-prospect?format=text
Install alias
/api/registry/install/gmickel-flow-next-prospect
Recommend
/api/registry/recommend?task=Use%20flow-next-prospect%20in%20an%20agent%20workflow&limit=3
Agent fit
Local desktop
Use-case tags
Platforms
Claude Code, OpenAI Agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Local desktop
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO691 GitHub stars
Stars/forks activity
INFO691 stars, 55 forks; issue activity unavailable in current metadata
Recent maintenance
PASS1d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Parse messy files
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Run autonomous deep research over web and local sources
--- name: flow-next-capture description: Synthesize the current conversation context into a flow-next spec at `.flow/specs/<spec-id>.md` via `flowctl spec create + spec set-plan` — agent-native, source-tagged, with mandatory read-back before write. Triggers on /flow-next:capture, "capture spec", "lock down what we discussed", "make a spec from this conversation", "convert conversation to spec". Optional `mode:autofix` token runs without questions and requires `--yes` to commit. Optional `--rewrite <spec-id>` overwrites an existing spec; `--from-compacted-ok` overrides the compaction-detection refusal; `--override-strategy` proceeds despite a contradiction with an active STRATEGY.md track (and prompts to record the override as a decision). user-invocable: false allowed-tools: AskUserQuestion, Read, Bash, Grep, Glob, Write, Edit, Task ---
# /flow-next:capture — agent-native conversation → spec
A free-form discussion (or a `/flow-next:prospect` survivor) frequently produces enough material for a complete spec, but stops short of the formal `flowctl spec create` + `spec set-plan` heredoc documented in `CLAUDE.md`. Without an explicit synthesis step, that context decays — the next session loses the conversation, the spec never lands, and the user re-explains the same idea to `/flow-next:plan`.
This skill IS the synthesis. The host agent (Claude Code / Codex / Droid) extracts the recent user turns, drafts a CLAUDE.md-shaped spec with **per-line source tags** (`[user]` / `[paraphrase]` / `[inferred]`), shows the full draft back via `AskUserQuestion`, and only then writes the spec via existing flowctl plumbing. There is no Python synthesizer, no codex / copilot subprocess, no fast-model classifier. The host agent is already an LLM and does the work directly.
flowctl provides only thin spec plumbing (`spec create`, `spec set-plan`, optional `spec set-branch`, `memory search` for duplicate detection). No new flowctl subcommands.
**Read [workflow.md](workflow.md) for the full phase-by-phase execution. Read [phases.md](phases.md) for the must-ask cases lookup, source-tag taxonomy, confidence tiers, and forbidden-behaviors list.**
## Preamble
**CRITICAL: flowctl is BUNDLED — NOT installed globally.** `which flowctl` will fail (expected). Define once; subsequent blocks (here and in `workflow.md` / `phases.md`) use `$FLOWCTL`:
```bash FLOWCTL="${DROID_PLUGIN_ROOT:-${CLAUDE_PLUGIN_ROOT}}/scripts/flowctl" [ -x "$FLOWCTL" ] || FLOWCTL=".flow/bin/flowctl" ```
**Inline skill (no `context: fork`)** — `AskUserQuestion` must stay reachable across phases. Subagents can't call blocking question tools (Claude Code issues #12890, #34592). Phase 0 (duplicate detection) and Phase 4 (read-back loop) both require user choice in interactive mode. (sync-codex.sh rewrites this to a plain-text numbered prompt in the Codex mirror.)
## Mode Detection
Parse `$ARGUMENTS` for the literal token `mode:autofix` and the flags `--rewrite <spec-id>`, `--from-compacted-ok`, `--yes`, `--override-strategy`. Strip recognized tokens; whatever remains is treated as freeform context (ignored — the conversation is the input, not `$ARGUMENTS`).
```bash RAW_ARGS="$ARGUMENTS" MODE="interactive" REWRITE_TARGET="" FROM_COMPACTED_OK=0 COMMIT_YES=0 OVERRIDE_STRATEGY=0
# Mode token if [[ "$RAW_ARGS" == *"mode:autofix"* ]]; then MODE="autofix" RAW_ARGS="${RAW_ARGS//mode:autofix/}" fi
# --rewrite <id> if [[ "$RAW_ARGS" =~ --rewrite[[:space:]]+([^[:space:]]+) ]]; then REWRITE_TARGET="${BASH_REMATCH[1]}" RAW_ARGS="${RAW_ARGS//--rewrite ${REWRITE_TARGET}/}" fi
# --from-compacted-ok if [[ "$RAW_ARGS" == *"--from-compacted-ok"* ]]; then FROM_COMPACTED_OK=1 RAW_ARGS="${RAW_ARGS//--from-compacted-ok/}" fi
# --yes (autofix commit gate) if [[ "$RAW_ARGS" == *"--yes"* ]]; then COMMIT_YES=1 RAW_ARGS="${RAW_ARGS//--yes/}" fi
# --override-strategy (Phase 5.0 strategy-contradiction override) if [[ "$RAW_ARGS" == *"--override-strategy"* ]]; then OVERRIDE_STRATEGY=1 RAW_ARGS="${RAW_ARGS//--override-strategy/}" fi ```
| Mode | When | Behavior | |------|------|----------| | **Interactive** (default) | User is at the terminal | Phase 0 asks on duplicate detection; Phase 3 asks on must-ask ambiguities; Phase 4 read-back via blocking-question tool — write only on `approve` | | **Autofix** (`mode:autofix`) | Batch usage from another skill / scripted invocation | No user questions. Phase 0 hard-errors on duplicates / compaction without explicit overrides. Phase 3 must-ask cases hard-error (autofix can't ask). Phase 4 Writes the full draft once (the Write render is the emission) + prints the summary tally to stdout. **Writes to `.flow/` ONLY when `--yes` is also passed**; without `--yes`, exit 0 with "draft written; rerun with --yes to commit" |
### Autofix mode rules
- **No user questions.** Never call the blocking-question tool. - **Phase 0 hard-errors:** duplicate detected → list overlapping spec IDs to stderr, exit 2 unless `--rewrite <id>` was passed; compaction detected → exit 2 unless `--from-compacted-ok` was passed. - **Phase 3 must-ask hard-errors:** ambiguous title / untestable acceptance / scope-conflict-with-existing-spec → exit 2 with which case fired and why. Autofix cannot resolve must-ask cases. - **Phase 4 single emission, no `.flow/` write.** Full draft Written once to the §4.1 draft file (the Write render is the full emission — all sections + R-IDs); summary payload (`[inferred]` tally + 8+ acceptance suggestion if applicable) printed to stdout. Without `--yes`, exit 0 with the "rerun with --yes" hint. With `--yes`, proceed to Phase 5 write. - **Phase 5 commits identically to interactive once it runs.** - **Readiness never written.** The mark-ready write (workflow.md §5.9) is interactive-consent-only; autofix prints a footer suggestion at most (and only when readiness is adopted, no `tracker.readyState`, and the spec was written). The `--rewrite` readiness reset (§5.3) still runs — it is idempotent plumbing, not a consent question.
## Ralph-block (R13) — runs first, before everything else
`/flow-next:capture` requires conversation context + user confirmation. Autonomous loops have neither. Hard-error with exit 2 when running under Ralph.
```bash if [[ -n "${REVIEW_RECEIPT_PATH:-}" || "${FLOW_RALPH:-}" == "1" ]]; then echo "Error: /flow-next:capture requires conversation context + a user at the terminal; not compatible with Ralph mode (REVIEW_RECEIPT_PATH or FLOW_RALPH detected)." >&2 exit 2 fi ```
No env-var opt-in. Ralph never decides direction.
## Interaction Principles (interactive mode only)
In autofix mode, skip user questions entirely and apply the rules above.
In interactive mode:
- Ask **one question at a time** via `AskUserQuestion` (call `ToolSearch` with `select:AskUserQuestion` first if its schema isn't loaded). Fall back to numbered options in plain text only if the tool is unreachable or errors. Never silently skip the question. - **Lead with the recommended option** and a one-sentence rationale, followed by a confidence marker — `[high]` / `[judgment-call]` / `[your-call]`. The body carries the recommendation; option labels stay neutral so the user isn't anchored on the option text itself. (See [phases.md](phases.md) §Confidence tiers.) - Prefer **multiple choice** when natural options exist (Phase 0 duplicate decision; Phase 4 approve/edit/abort). - **Do not ask the user for facts** they already gave you in conversation — Phase 1 extracts evidence first; Phase 3 asks only on the three hard-error must-ask cases plus genuinely missing context that can't be inferred.
The goal is automated synthesis with human oversight on judgment calls — not a question for every section.
## Forbidden behaviors (R10)
- **Tech-stack mentions the user did not state.** "Needs persistence" is fine; "uses PostgreSQL" needs the user to have said PostgreSQL. Defer technology choices to `/flow-next:plan` (spec-kit convention — capture writes intent, plan writes implementation). - **Inventing acceptance criteria not in conversation.** Every acceptance criterion must be source-tagged; pure `[inferred]` criteria must surface at Phase 4 read-back so the user can reject them. - **Code snippets or specific file paths in the spec body.** Those belong in `/flow-next:plan` task specs after research lands. Capture's output is a high-level spec, not an implementation guide. - **Silent overwrite of an existing spec.** Idempotency requires `--rewrite <spec-id>` (R8). Without it, Phase 0 conflict-detection branches into extend / supersede / proceed-anyway. - **Auto-splitting a spec that has 8+ acceptance criteria.** Phase 4 surfaces the option to split; the user decides. Never auto-action a split. - **Setting `context: fork`** — blocking-question tools must stay reachable. - **Calling `flowctl spec create` before Phase 4 approval.** Phase 5 is the only write phase. - **Writing glossary terms without consent, or in autofix mode.** Term-adds require the Phase 4.2 `Glossary?` approval; autofix prints suggestions only (`--yes` consents to the spec write, not to vocabulary changes). The gate is husk-aware (`glossary list --json` `total_terms > 0`) — seeding an empty glossary is `/flow-next:prime`'s job, never capture's. - **Using `git add -A` from this skill.** When committing the new spec, stage only the JSON sidecar (`.flow/specs/<id>.json` post-1.0; `.flow/epics/<id>.json` on alias-mode 0.x repos that haven't migrated yet) + `.flow/specs/<id>.md` (and `.flow/meta.json` if the next-id counter mutated). Other working-tree changes are not capture's concern.
## Pre-check: local setup version
Same pattern as `/flow-next:audit` and `/flow-next:prospect` — non-blocking notice when `.flow/meta.json` `setup_version` lags the plugin version:
```bash if [[ -f .flow/meta.json ]]; then SETUP_VER=$(jq -r '.setup_version // empty' .flow/meta.json 2>/dev/null) PLUGIN_JSON="${DROID_PLUGIN_ROOT:-${CLAUDE_PLUGIN_ROOT}}/.claude-plugin/plugin.json" PLUGIN_VER=$(jq -r '.version' "$PLUGIN_JSON" 2>/dev/null || echo "unknown") if [[ -n "$SETUP_VER" && "$PLUGIN_VER" != "unknown" && "$SETUP_VER" != "$PLUGIN_VER" ]]; then echo "Plugin updated to v${PLUGIN_VER}. Run /flow-next:setup to refresh local scripts (current: v${SETUP_VER})." >&2 fi fi ```
## Workflow
Execute the phases in [workflow.md](workflow.md) in order:
0. **Pre-flight** — duplicate detection (scan `.flow/specs/` + `.flow/epics/` for legacy alias-mode repos + `flowctl memory search` on extracted keywords); compaction detection (scan transcript for truncation markers); idempotency (refuse silent overwrite without `--rewrite`). 1. **Extract conversation evidence** — build a verbatim `## Conversation Evidence` block FIRST (raw quotes from recent user turns, capped ~30 lines). Spec sections refer to it by line, not from agent memory. 2. **Source-tagged synthesis** — draft each section with per-line tags (`[user]` / `[paraphrase]` / `[inferred]`). Apply the canonical template at [`plugins/flow-next/templates/spec.md`](../../templates/spec.md) (per R17 — cross-link, never re-embed the section list inline). At runtime the template is resolved via the 4-tier discovery cascade — first match wins: `<repo_root>/SPEC.md` → `<repo_root>/spec.md` → `.flow/templates/spec.md` → bundled `${PLUGIN_ROOT}/templates/spec.md`. The bundled file is the canonical source of truth; earlier tiers are user-customized overrides. Route explicit biz-context signals (nine SIGNAL CATEGORIES per fn-44 R24, only `[user]` / `[paraphrase]` tags) to their destinations; sections without conversation signal stay absent. Compute `BIZ_SIGNAL_CATEGORIES` (0..9) for Phase 6's R25 dispatch. 3. **Must-ask cases (R9)** — interactive only; autofix exits 2 if any fire. Hard-error conditions: ambiguous title / untestable acceptance / scope-conflict. Optional ambiguities use lead-with-recommendation + confidence tier. 4. **Read-back loop (mandatory, even in autofix)** — Write the full draft ONCE to a liter
Source provenance
Decision snapshot
691 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for flow-next-prospect, ready for a manual X post.
flow-next-prospect: Generate ranked candidate ideas grounded in the repo, upstream of /flow-next:plan. Triggers o... 691 stars https://www.openagentskill.com/skills/gmickel-flow-next-prospect?ref=x
Listing + install path for flow-next-prospect: https://www.openagentskill.com/skills/gmickel-flow-next-prospect?ref=x Install: npx skills add gmickel/flow-next --skill flow-next-prospect
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to gmickel but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/gmickel-flow-next-prospect?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/gmickel-flow-next-prospect?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/gmickel-flow-next-prospect/audit)
[](https://www.openagentskill.com/skills/gmickel-flow-next-prospect?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)gmickel
@gmickel
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K StarsGPT Researcher
Run autonomous deep research over web and local sources
28.0K StarsPermission surface
secrets or environment access, shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
secrets or environment access, shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
secrets or environment access, shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
secrets or environment access, shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness