Creator · a5c-ai
Last updated · Sep 2, 2026
For a repository in the babysitter-users catalog, locate its babysitter processes and any committed runs (.a5c/runs/<runId>/) and perform a retrospective on a chosen run -- what went well, what failed, process suggestions, quality of effect design, breakpoint patterns -- mirrorin
Creator · a5c-ai
Last updated · Sep 2, 2026
For a repository in the babysitter-users catalog, locate its babysitter processes and any committed runs (.a5c/runs/<runId>/) and perform a retrospective on a chosen run -- what went well, what failed, process suggestions, quality of effect design, breakpoint patterns -- mirrorin
Creator · a5c-ai
Last updated · Sep 2, 2026
For a repository in the babysitter-users catalog, locate its babysitter processes and any committed runs (.a5c/runs/<runId>/) and perform a retrospective on a chosen run -- what went well, what failed, process suggestions, quality of effect design, breakpoint patterns -- mirrorin
Creator · a5c-ai
Last updated · Sep 2, 2026
For a repository in the babysitter-users catalog, locate its babysitter processes and any committed runs (.a5c/runs/<runId>/) and perform a retrospective on a chosen run -- what went well, what failed, process suggestions, quality of effect design, breakpoint patterns -- mirrorin
Sandbox only
Install targets
Codex install prompt
Install the "retrospect-external-babysitter-run" agent skill from https://github.com/a5c-ai/babysitter/tree/main/.claude/skills/retrospect-external-babysitter-run. 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: For a repository in the babysitter-users catalog, locate its babysitter processes and any committed runs (.a5c/runs/<runId>/) and perform a retrospective on a chosen run -- what went well, what failed, process suggestions, quality of effect design, breakpoint patterns -- mirroring the /babysitter:retrospect workflow but applied to an external repo. Invoke when asked to "retrospect on repo X's run", "analyze how someone else used babysitter", or "review an external babysitter run". 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":"a5c-ai-retrospect-external-babysitter-run","task":"Install retrospect-external-babysitter-run","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 + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add a5c-ai/babysitter --skill retrospect-external-babysitter-run
Maintenance
fresh
5d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
1.8K
79/100 Quality · 77/100 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
1.8K GitHub stars
Repo activity
1.8K stars, 103 forks
Maintenance
5d since push
License
MIT
Install
npx skills add a5c-ai/babysitter --skill retrospect-external-babysitter-run
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 a5c-ai/babysitter --skill retrospect-external-babysitter-runDo not use when
Alternative
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28.0K Stars
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Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
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.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
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%20retrospect-external-babysitter-run%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20retrospect-external-babysitter-run%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/a5c-ai-retrospect-external-babysitter-run/install
Agent should check
Copy prompt
Task: Use retrospect-external-babysitter-run in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20retrospect-external-babysitter-run%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/a5c-ai-retrospect-external-babysitter-run/install
Install command: npx skills add a5c-ai/babysitter --skill retrospect-external-babysitter-run
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/a5c-ai-retrospect-external-babysitter-run/install
LLM text format
/api/skills/a5c-ai-retrospect-external-babysitter-run/install?format=text
Find alternatives
/api/skills/search?q=retrospect-external-babysitter-run&limit=3
Agent prompt
Use retrospect-external-babysitter-run for this task. Review https://www.openagentskill.com/api/skills/a5c-ai-retrospect-external-babysitter-run/install, then install with: npx skills add a5c-ai/babysitter --skill retrospect-external-babysitter-runRegistry 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/a5c-ai-retrospect-external-babysitter-run
LLM text
/api/registry/manifest/a5c-ai-retrospect-external-babysitter-run?format=text
Install alias
/api/registry/install/a5c-ai-retrospect-external-babysitter-run
Recommend
/api/registry/recommend?task=Use%20retrospect-external-babysitter-run%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
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
Research agents
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
PASS1.8K GitHub stars
Stars/forks activity
INFO1.8K stars, 103 forks; issue activity unavailable in current metadata
Recent maintenance
PASS5d 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
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
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.
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--- name: retrospect-external-babysitter-run description: For a repository in the babysitter-users catalog, locate its babysitter processes and any committed runs (.a5c/runs/<runId>/) and perform a retrospective on a chosen run -- what went well, what failed, process suggestions, quality of effect design, breakpoint patterns -- mirroring the /babysitter:retrospect workflow but applied to an external repo. Invoke when asked to "retrospect on repo X's run", "analyze how someone else used babysitter", or "review an external babysitter run". ---
# Retrospect External Babysitter Run
Analyse a babysitter run that lives in an external public repository, using the same lens as the in-repo `/babysitter:retrospect` command. Produce a written retrospective with concrete suggestions for the process author (or, if the insight generalizes, for the babysitter project itself).
## When to use
- User names an external repo and asks for a retrospective. - User asks "find a babysitter run to retrospect on" (combine with the `catalog-babysitter-users` skill to pick one). - User asks "how are other people using babysitter processes? What do they get wrong?".
## Prerequisites
- `gh` CLI authenticated. - `docs/repo-with-babysitter-processes.md` exists (if not, run the `catalog-babysitter-users` skill first). - A workspace directory where external repos can be shallow-cloned (default: `/tmp/babysitter-retrospect/` or `.a5c/tmp/external-runs/`).
## Phase 1 -- Target selection
1. Read `docs/repo-with-babysitter-processes.md` and list Active repos with stars + description. If the user already named a repo, skip to step 3. 2. Ask the user which repo to retrospect on (use AskUserQuestion in interactive mode; if non-interactive, pick the highest-starred Active repo that wasn't retrospected in the last 30 days -- track via `docs/retrospectives/<owner>-<name>/log.md`). 3. Confirm the target with the user before cloning.
## Phase 2 -- Discover processes and runs
Shallow clone the target:
```bash mkdir -p .a5c/tmp/external-runs cd .a5c/tmp/external-runs gh repo clone <owner>/<name> -- --depth 50 --single-branch cd <name> ```
Locate:
- **Process files**: files importing `defineTask` from `@a5c-ai/babysitter-sdk`. Use Grep: `grep -rl "from '@a5c-ai/babysitter-sdk'" -- . --include='*.js' --include='*.ts'`. - **Committed runs**: `.a5c/runs/<runId>/` directories. Many repos gitignore `.a5c/runs/` entirely -- that's fine; note it and proceed with process-only retrospective. When runs ARE committed, look for `run.json`, `journal/`, `tasks/`, `state/output.json`. - **Historical runs via git log**: `git log --all --diff-filter=A --name-only -- '.a5c/runs/'` surfaces runs that existed at some commit even if later cleaned up. Check out the commit that introduced the run if you want the journal content.
Summarize to the user:
- N process files found, by top-level directory - M run directories present in HEAD; P additional historical runs reachable via git history - Which runs completed vs failed (grep `RUN_COMPLETED` / `RUN_FAILED` in the journal)
## Phase 3 -- Pick a run to retrospect
If multiple runs exist, ask the user (interactive) or default (non-interactive) to:
- The most recent failed run (highest signal for process improvement), OR - If no failures, the most recent completed run.
If no runs are committed at all, switch to a **process-only retrospective**: analyse the process file(s) for quality issues without run evidence. Mark the output clearly as process-only.
## Phase 4 -- Load the run
Inspect, in order:
- `.a5c/runs/<runId>/run.json` -- processId, entrypoint, prompt, createdAt - `.a5c/runs/<runId>/inputs.json` -- user intent - `.a5c/runs/<runId>/journal/*.json` -- event stream (RUN_CREATED, EFFECT_REQUESTED, EFFECT_RESOLVED, RUN_COMPLETED / RUN_FAILED). Read every journal entry; it is the authoritative record. - `.a5c/runs/<runId>/tasks/<effectId>/task.json` + `result.json` -- per-effect definition and result - `.a5c/runs/<runId>/state/output.json` (if present) -- final output - The process file referenced by `run.json.entrypoint` -- cross-reference against the journal to see what the author intended vs what happened.
## Phase 5 -- Retrospective analysis
Mirror the in-repo `/babysitter:retrospect` workflow. Produce notes under each heading:
### 5.1 Outcome
- Success / partial success / failure. - Total iterations, duration, distinct effect count, retry count. - Final output quality (from `state/output.json` shape + content).
### 5.2 What went well
- Effects that resolved on first try. - Process sections with clear inputs/outputs and no re-runs. - Useful breakpoints that caught real issues before they propagated.
### 5.3 What went poorly
- Effects that were re-dispatched (same invocationKey or similar taskId appearing repeatedly). - Long gaps between EFFECT_REQUESTED and EFFECT_RESOLVED (external bottlenecks). - Breakpoints that looped (approval -> reject -> retry -> reject). - Tasks that crashed and what the error category was (Configuration / Validation / Runtime / External / Internal). - Any RUN_FAILED: trace the last few events and the thrown error.
### 5.4 Process-quality review
Evaluate the process file itself against these criteria:
- Determinism: does every effect have stable invocation keys (processId:stepId:taskId)? Any non-deterministic branching based on wall-clock time, random, or unpinned env vars? - Effect granularity: are tasks too coarse (one huge agent task vs several narrower ones) or too fine (dozens of tiny tasks)? - Idempotency: can the process be re-run safely? Does it use `ctx.task()` for all side effects, or does it write files outside a task? - Breakpoint discipline: are breakpoints used to gate irreversible actions? Do they follow the robust rejection pattern (loop with feedback)? - Error surfacing: does the process throw with useful context, or swallow errors? - Labels: are task labels meaningful and consistent (enables filtering / observability)? - Re-use: could any section be replaced by a shared component from `library/processes/shared/`?
### 5.5 Suggestions
Concrete, actionable suggestions in three buckets:
- **For the run** (if still in progress): what to retry, rollback, or fix first. - **For the process** (always): specific edits to the process file -- split this task, add this breakpoint, move that side-effect inside a task, use stableKey here.
Can it be generalized into a reusable pattern or library process in the processes library? If so, suggest that too. (also using `/babysitter:contrib library ...`)
- **For babysitter upstream** (when the insight generalizes): missing primitives, confusing SDK behavior, documentation gaps worth filing via `/babysitter:contrib`.
Every suggestion must cite evidence -- a journal event, a file path, a line range.
## Phase 6 -- Write the retrospective
Write to `docs/retrospectives/<owner>-<name>/<runId-or-process-name>.md` with this structure:
```markdown # Retrospective: <owner>/<name> -- <runId or process name>
Date: YYYY-MM-DD Source commit: <sha> Process: <relative path> Run: <runId or "process-only"> Outcome: <success | failure | process-only>
## Context <1-3 sentences on what the process is trying to do and the user intent from inputs.json>
## Timeline <bullet timeline of key journal events with timestamps and durations>
## What went well ...
## What went poorly ...
## Process-quality review ...
## Suggestions ### For the run ### For the process ### For babysitter upstream
## Evidence <links to specific journal event files, task.json files, line-anchored process file refs> ```
Also append a one-line entry to `docs/retrospectives/<owner>-<name>/log.md` with the date, runId, and outcome, so we don't re-retrospect the same run.
## Phase 7 -- Cleanup and callbacks
- Leave the shallow clone under `.a5c/tmp/external-runs/` in place (it's cheap). If disk pressure, note this to the user; do NOT auto-delete. - Suggest the user use `/babysitter:contrib` for any upstream-worthy insight: - Process/skill improvement idea -> `/babysitter:contrib library contribution: [description]` - SDK/CLI bug or missing primitive -> `/babysitter:contrib bug report: [description]` - Documentation gap that tripped the external author -> `/babysitter:contrib documentation question: [what was unclear]` - If the process author is findable (repo owner, git author of the process file), suggest opening an issue on their repo with a pointer to the retrospective document.
## Notes
- Honour the target repo's LICENSE when quoting code in the retrospective. Short excerpts for analysis are fair use; do not wholesale copy process files into this repo. - Never execute the external process -- retrospectives are read-only analysis. - If the run journal is very large (>500 events), sample: first 20, last 20, plus every EFFECT that transitioned to resolved or failed.
Source provenance
Decision snapshot
1,759 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 retrospect-external-babysitter-run, ready for a manual X post.
retrospect-external-babysitter-run: For a repository in the babysitter-users catalog, locate its babysitter processes and any com... 1.8K stars https://www.openagentskill.com/skills/a5c-ai-retrospect-external-babysitter-run?ref=x
Listing + install path for retrospect-external-babysitter-run: https://www.openagentskill.com/skills/a5c-ai-retrospect-external-babysitter-run?ref=x Install: npx skills add a5c-ai/babysitter --skill retrospect-external-babysitter-run
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Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
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mono-color
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Install targets
Codex install prompt
Install the "retrospect-external-babysitter-run" agent skill from https://github.com/a5c-ai/babysitter/tree/main/.claude/skills/retrospect-external-babysitter-run. 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: For a repository in the babysitter-users catalog, locate its babysitter processes and any committed runs (.a5c/runs/<runId>/) and perform a retrospective on a chosen run -- what went well, what failed, process suggestions, quality of effect design, breakpoint patterns -- mirroring the /babysitter:retrospect workflow but applied to an external repo. Invoke when asked to "retrospect on repo X's run", "analyze how someone else used babysitter", or "review an external babysitter run". 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":"a5c-ai-retrospect-external-babysitter-run","task":"Install retrospect-external-babysitter-run","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 + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add a5c-ai/babysitter --skill retrospect-external-babysitter-run
Maintenance
fresh
5d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
1.8K
79/100 Quality · 77/100 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
1.8K GitHub stars
Repo activity
1.8K stars, 103 forks
Maintenance
5d since push
License
MIT
Install
npx skills add a5c-ai/babysitter --skill retrospect-external-babysitter-run
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 a5c-ai/babysitter --skill retrospect-external-babysitter-runDo not use when
Alternative
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npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
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28.0K Stars
npx skills add assafelovic/gpt-researcher
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
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.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
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%20retrospect-external-babysitter-run%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20retrospect-external-babysitter-run%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/a5c-ai-retrospect-external-babysitter-run/install
Agent should check
Copy prompt
Task: Use retrospect-external-babysitter-run in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20retrospect-external-babysitter-run%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/a5c-ai-retrospect-external-babysitter-run/install
Install command: npx skills add a5c-ai/babysitter --skill retrospect-external-babysitter-run
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/a5c-ai-retrospect-external-babysitter-run/install
LLM text format
/api/skills/a5c-ai-retrospect-external-babysitter-run/install?format=text
Find alternatives
/api/skills/search?q=retrospect-external-babysitter-run&limit=3
Agent prompt
Use retrospect-external-babysitter-run for this task. Review https://www.openagentskill.com/api/skills/a5c-ai-retrospect-external-babysitter-run/install, then install with: npx skills add a5c-ai/babysitter --skill retrospect-external-babysitter-runRegistry 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/a5c-ai-retrospect-external-babysitter-run
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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: retrospect-external-babysitter-run description: For a repository in the babysitter-users catalog, locate its babysitter processes and any committed runs (.a5c/runs/<runId>/) and perform a retrospective on a chosen run -- what went well, what failed, process suggestions, quality of effect design, breakpoint patterns -- mirroring the /babysitter:retrospect workflow but applied to an external repo. Invoke when asked to "retrospect on repo X's run", "analyze how someone else used babysitter", or "review an external babysitter run". ---
# Retrospect External Babysitter Run
Analyse a babysitter run that lives in an external public repository, using the same lens as the in-repo `/babysitter:retrospect` command. Produce a written retrospective with concrete suggestions for the process author (or, if the insight generalizes, for the babysitter project itself).
## When to use
- User names an external repo and asks for a retrospective. - User asks "find a babysitter run to retrospect on" (combine with the `catalog-babysitter-users` skill to pick one). - User asks "how are other people using babysitter processes? What do they get wrong?".
## Prerequisites
- `gh` CLI authenticated. - `docs/repo-with-babysitter-processes.md` exists (if not, run the `catalog-babysitter-users` skill first). - A workspace directory where external repos can be shallow-cloned (default: `/tmp/babysitter-retrospect/` or `.a5c/tmp/external-runs/`).
## Phase 1 -- Target selection
1. Read `docs/repo-with-babysitter-processes.md` and list Active repos with stars + description. If the user already named a repo, skip to step 3. 2. Ask the user which repo to retrospect on (use AskUserQuestion in interactive mode; if non-interactive, pick the highest-starred Active repo that wasn't retrospected in the last 30 days -- track via `docs/retrospectives/<owner>-<name>/log.md`). 3. Confirm the target with the user before cloning.
## Phase 2 -- Discover processes and runs
Shallow clone the target:
```bash mkdir -p .a5c/tmp/external-runs cd .a5c/tmp/external-runs gh repo clone <owner>/<name> -- --depth 50 --single-branch cd <name> ```
Locate:
- **Process files**: files importing `defineTask` from `@a5c-ai/babysitter-sdk`. Use Grep: `grep -rl "from '@a5c-ai/babysitter-sdk'" -- . --include='*.js' --include='*.ts'`. - **Committed runs**: `.a5c/runs/<runId>/` directories. Many repos gitignore `.a5c/runs/` entirely -- that's fine; note it and proceed with process-only retrospective. When runs ARE committed, look for `run.json`, `journal/`, `tasks/`, `state/output.json`. - **Historical runs via git log**: `git log --all --diff-filter=A --name-only -- '.a5c/runs/'` surfaces runs that existed at some commit even if later cleaned up. Check out the commit that introduced the run if you want the journal content.
Summarize to the user:
- N process files found, by top-level directory - M run directories present in HEAD; P additional historical runs reachable via git history - Which runs completed vs failed (grep `RUN_COMPLETED` / `RUN_FAILED` in the journal)
## Phase 3 -- Pick a run to retrospect
If multiple runs exist, ask the user (interactive) or default (non-interactive) to:
- The most recent failed run (highest signal for process improvement), OR - If no failures, the most recent completed run.
If no runs are committed at all, switch to a **process-only retrospective**: analyse the process file(s) for quality issues without run evidence. Mark the output clearly as process-only.
## Phase 4 -- Load the run
Inspect, in order:
- `.a5c/runs/<runId>/run.json` -- processId, entrypoint, prompt, createdAt - `.a5c/runs/<runId>/inputs.json` -- user intent - `.a5c/runs/<runId>/journal/*.json` -- event stream (RUN_CREATED, EFFECT_REQUESTED, EFFECT_RESOLVED, RUN_COMPLETED / RUN_FAILED). Read every journal entry; it is the authoritative record. - `.a5c/runs/<runId>/tasks/<effectId>/task.json` + `result.json` -- per-effect definition and result - `.a5c/runs/<runId>/state/output.json` (if present) -- final output - The process file referenced by `run.json.entrypoint` -- cross-reference against the journal to see what the author intended vs what happened.
## Phase 5 -- Retrospective analysis
Mirror the in-repo `/babysitter:retrospect` workflow. Produce notes under each heading:
### 5.1 Outcome
- Success / partial success / failure. - Total iterations, duration, distinct effect count, retry count. - Final output quality (from `state/output.json` shape + content).
### 5.2 What went well
- Effects that resolved on first try. - Process sections with clear inputs/outputs and no re-runs. - Useful breakpoints that caught real issues before they propagated.
### 5.3 What went poorly
- Effects that were re-dispatched (same invocationKey or similar taskId appearing repeatedly). - Long gaps between EFFECT_REQUESTED and EFFECT_RESOLVED (external bottlenecks). - Breakpoints that looped (approval -> reject -> retry -> reject). - Tasks that crashed and what the error category was (Configuration / Validation / Runtime / External / Internal). - Any RUN_FAILED: trace the last few events and the thrown error.
### 5.4 Process-quality review
Evaluate the process file itself against these criteria:
- Determinism: does every effect have stable invocation keys (processId:stepId:taskId)? Any non-deterministic branching based on wall-clock time, random, or unpinned env vars? - Effect granularity: are tasks too coarse (one huge agent task vs several narrower ones) or too fine (dozens of tiny tasks)? - Idempotency: can the process be re-run safely? Does it use `ctx.task()` for all side effects, or does it write files outside a task? - Breakpoint discipline: are breakpoints used to gate irreversible actions? Do they follow the robust rejection pattern (loop with feedback)? - Error surfacing: does the process throw with useful context, or swallow errors? - Labels: are task labels meaningful and consistent (enables filtering / observability)? - Re-use: could any section be replaced by a shared component from `library/processes/shared/`?
### 5.5 Suggestions
Concrete, actionable suggestions in three buckets:
- **For the run** (if still in progress): what to retry, rollback, or fix first. - **For the process** (always): specific edits to the process file -- split this task, add this breakpoint, move that side-effect inside a task, use stableKey here.
Can it be generalized into a reusable pattern or library process in the processes library? If so, suggest that too. (also using `/babysitter:contrib library ...`)
- **For babysitter upstream** (when the insight generalizes): missing primitives, confusing SDK behavior, documentation gaps worth filing via `/babysitter:contrib`.
Every suggestion must cite evidence -- a journal event, a file path, a line range.
## Phase 6 -- Write the retrospective
Write to `docs/retrospectives/<owner>-<name>/<runId-or-process-name>.md` with this structure:
```markdown # Retrospective: <owner>/<name> -- <runId or process name>
Date: YYYY-MM-DD Source commit: <sha> Process: <relative path> Run: <runId or "process-only"> Outcome: <success | failure | process-only>
## Context <1-3 sentences on what the process is trying to do and the user intent from inputs.json>
## Timeline <bullet timeline of key journal events with timestamps and durations>
## What went well ...
## What went poorly ...
## Process-quality review ...
## Suggestions ### For the run ### For the process ### For babysitter upstream
## Evidence <links to specific journal event files, task.json files, line-anchored process file refs> ```
Also append a one-line entry to `docs/retrospectives/<owner>-<name>/log.md` with the date, runId, and outcome, so we don't re-retrospect the same run.
## Phase 7 -- Cleanup and callbacks
- Leave the shallow clone under `.a5c/tmp/external-runs/` in place (it's cheap). If disk pressure, note this to the user; do NOT auto-delete. - Suggest the user use `/babysitter:contrib` for any upstream-worthy insight: - Process/skill improvement idea -> `/babysitter:contrib library contribution: [description]` - SDK/CLI bug or missing primitive -> `/babysitter:contrib bug report: [description]` - Documentation gap that tripped the external author -> `/babysitter:contrib documentation question: [what was unclear]` - If the process author is findable (repo owner, git author of the process file), suggest opening an issue on their repo with a pointer to the retrospective document.
## Notes
- Honour the target repo's LICENSE when quoting code in the retrospective. Short excerpts for analysis are fair use; do not wholesale copy process files into this repo. - Never execute the external process -- retrospectives are read-only analysis. - If the run journal is very large (>500 events), sample: first 20, last 20, plus every EFFECT that transitioned to resolved or failed.
Source provenance
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1,759 GitHub stars
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Install and adoption review
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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.
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Scenario-led draft for retrospect-external-babysitter-run, ready for a manual X post.
retrospect-external-babysitter-run: For a repository in the babysitter-users catalog, locate its babysitter processes and any com... 1.8K stars https://www.openagentskill.com/skills/a5c-ai-retrospect-external-babysitter-run?ref=x
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Codex install prompt
Install the "retrospect-external-babysitter-run" agent skill from https://github.com/a5c-ai/babysitter/tree/main/.claude/skills/retrospect-external-babysitter-run. 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: For a repository in the babysitter-users catalog, locate its babysitter processes and any committed runs (.a5c/runs/<runId>/) and perform a retrospective on a chosen run -- what went well, what failed, process suggestions, quality of effect design, breakpoint patterns -- mirroring the /babysitter:retrospect workflow but applied to an external repo. Invoke when asked to "retrospect on repo X's run", "analyze how someone else used babysitter", or "review an external babysitter run". 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":"a5c-ai-retrospect-external-babysitter-run","task":"Install retrospect-external-babysitter-run","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.
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Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
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Ready
npx skills add a5c-ai/babysitter --skill retrospect-external-babysitter-run
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fresh
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1.8K GitHub stars
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1.8K stars, 103 forks
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5d since push
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npx skills add a5c-ai/babysitter --skill retrospect-external-babysitter-run
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Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
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Task: Use retrospect-external-babysitter-run in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20retrospect-external-babysitter-run%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
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Install command: npx skills add a5c-ai/babysitter --skill retrospect-external-babysitter-run
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Use retrospect-external-babysitter-run for this task. Review https://www.openagentskill.com/api/skills/a5c-ai-retrospect-external-babysitter-run/install, then install with: npx skills add a5c-ai/babysitter --skill retrospect-external-babysitter-runRegistry metadata
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Agent fit
Research agents
Use-case tags
Platforms
Claude Code
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
Research agents
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Production-ready
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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
PASS1.8K GitHub stars
Stars/forks activity
INFO1.8K stars, 103 forks; issue activity unavailable in current metadata
Recent maintenance
PASS5d 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
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
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: retrospect-external-babysitter-run description: For a repository in the babysitter-users catalog, locate its babysitter processes and any committed runs (.a5c/runs/<runId>/) and perform a retrospective on a chosen run -- what went well, what failed, process suggestions, quality of effect design, breakpoint patterns -- mirroring the /babysitter:retrospect workflow but applied to an external repo. Invoke when asked to "retrospect on repo X's run", "analyze how someone else used babysitter", or "review an external babysitter run". ---
# Retrospect External Babysitter Run
Analyse a babysitter run that lives in an external public repository, using the same lens as the in-repo `/babysitter:retrospect` command. Produce a written retrospective with concrete suggestions for the process author (or, if the insight generalizes, for the babysitter project itself).
## When to use
- User names an external repo and asks for a retrospective. - User asks "find a babysitter run to retrospect on" (combine with the `catalog-babysitter-users` skill to pick one). - User asks "how are other people using babysitter processes? What do they get wrong?".
## Prerequisites
- `gh` CLI authenticated. - `docs/repo-with-babysitter-processes.md` exists (if not, run the `catalog-babysitter-users` skill first). - A workspace directory where external repos can be shallow-cloned (default: `/tmp/babysitter-retrospect/` or `.a5c/tmp/external-runs/`).
## Phase 1 -- Target selection
1. Read `docs/repo-with-babysitter-processes.md` and list Active repos with stars + description. If the user already named a repo, skip to step 3. 2. Ask the user which repo to retrospect on (use AskUserQuestion in interactive mode; if non-interactive, pick the highest-starred Active repo that wasn't retrospected in the last 30 days -- track via `docs/retrospectives/<owner>-<name>/log.md`). 3. Confirm the target with the user before cloning.
## Phase 2 -- Discover processes and runs
Shallow clone the target:
```bash mkdir -p .a5c/tmp/external-runs cd .a5c/tmp/external-runs gh repo clone <owner>/<name> -- --depth 50 --single-branch cd <name> ```
Locate:
- **Process files**: files importing `defineTask` from `@a5c-ai/babysitter-sdk`. Use Grep: `grep -rl "from '@a5c-ai/babysitter-sdk'" -- . --include='*.js' --include='*.ts'`. - **Committed runs**: `.a5c/runs/<runId>/` directories. Many repos gitignore `.a5c/runs/` entirely -- that's fine; note it and proceed with process-only retrospective. When runs ARE committed, look for `run.json`, `journal/`, `tasks/`, `state/output.json`. - **Historical runs via git log**: `git log --all --diff-filter=A --name-only -- '.a5c/runs/'` surfaces runs that existed at some commit even if later cleaned up. Check out the commit that introduced the run if you want the journal content.
Summarize to the user:
- N process files found, by top-level directory - M run directories present in HEAD; P additional historical runs reachable via git history - Which runs completed vs failed (grep `RUN_COMPLETED` / `RUN_FAILED` in the journal)
## Phase 3 -- Pick a run to retrospect
If multiple runs exist, ask the user (interactive) or default (non-interactive) to:
- The most recent failed run (highest signal for process improvement), OR - If no failures, the most recent completed run.
If no runs are committed at all, switch to a **process-only retrospective**: analyse the process file(s) for quality issues without run evidence. Mark the output clearly as process-only.
## Phase 4 -- Load the run
Inspect, in order:
- `.a5c/runs/<runId>/run.json` -- processId, entrypoint, prompt, createdAt - `.a5c/runs/<runId>/inputs.json` -- user intent - `.a5c/runs/<runId>/journal/*.json` -- event stream (RUN_CREATED, EFFECT_REQUESTED, EFFECT_RESOLVED, RUN_COMPLETED / RUN_FAILED). Read every journal entry; it is the authoritative record. - `.a5c/runs/<runId>/tasks/<effectId>/task.json` + `result.json` -- per-effect definition and result - `.a5c/runs/<runId>/state/output.json` (if present) -- final output - The process file referenced by `run.json.entrypoint` -- cross-reference against the journal to see what the author intended vs what happened.
## Phase 5 -- Retrospective analysis
Mirror the in-repo `/babysitter:retrospect` workflow. Produce notes under each heading:
### 5.1 Outcome
- Success / partial success / failure. - Total iterations, duration, distinct effect count, retry count. - Final output quality (from `state/output.json` shape + content).
### 5.2 What went well
- Effects that resolved on first try. - Process sections with clear inputs/outputs and no re-runs. - Useful breakpoints that caught real issues before they propagated.
### 5.3 What went poorly
- Effects that were re-dispatched (same invocationKey or similar taskId appearing repeatedly). - Long gaps between EFFECT_REQUESTED and EFFECT_RESOLVED (external bottlenecks). - Breakpoints that looped (approval -> reject -> retry -> reject). - Tasks that crashed and what the error category was (Configuration / Validation / Runtime / External / Internal). - Any RUN_FAILED: trace the last few events and the thrown error.
### 5.4 Process-quality review
Evaluate the process file itself against these criteria:
- Determinism: does every effect have stable invocation keys (processId:stepId:taskId)? Any non-deterministic branching based on wall-clock time, random, or unpinned env vars? - Effect granularity: are tasks too coarse (one huge agent task vs several narrower ones) or too fine (dozens of tiny tasks)? - Idempotency: can the process be re-run safely? Does it use `ctx.task()` for all side effects, or does it write files outside a task? - Breakpoint discipline: are breakpoints used to gate irreversible actions? Do they follow the robust rejection pattern (loop with feedback)? - Error surfacing: does the process throw with useful context, or swallow errors? - Labels: are task labels meaningful and consistent (enables filtering / observability)? - Re-use: could any section be replaced by a shared component from `library/processes/shared/`?
### 5.5 Suggestions
Concrete, actionable suggestions in three buckets:
- **For the run** (if still in progress): what to retry, rollback, or fix first. - **For the process** (always): specific edits to the process file -- split this task, add this breakpoint, move that side-effect inside a task, use stableKey here.
Can it be generalized into a reusable pattern or library process in the processes library? If so, suggest that too. (also using `/babysitter:contrib library ...`)
- **For babysitter upstream** (when the insight generalizes): missing primitives, confusing SDK behavior, documentation gaps worth filing via `/babysitter:contrib`.
Every suggestion must cite evidence -- a journal event, a file path, a line range.
## Phase 6 -- Write the retrospective
Write to `docs/retrospectives/<owner>-<name>/<runId-or-process-name>.md` with this structure:
```markdown # Retrospective: <owner>/<name> -- <runId or process name>
Date: YYYY-MM-DD Source commit: <sha> Process: <relative path> Run: <runId or "process-only"> Outcome: <success | failure | process-only>
## Context <1-3 sentences on what the process is trying to do and the user intent from inputs.json>
## Timeline <bullet timeline of key journal events with timestamps and durations>
## What went well ...
## What went poorly ...
## Process-quality review ...
## Suggestions ### For the run ### For the process ### For babysitter upstream
## Evidence <links to specific journal event files, task.json files, line-anchored process file refs> ```
Also append a one-line entry to `docs/retrospectives/<owner>-<name>/log.md` with the date, runId, and outcome, so we don't re-retrospect the same run.
## Phase 7 -- Cleanup and callbacks
- Leave the shallow clone under `.a5c/tmp/external-runs/` in place (it's cheap). If disk pressure, note this to the user; do NOT auto-delete. - Suggest the user use `/babysitter:contrib` for any upstream-worthy insight: - Process/skill improvement idea -> `/babysitter:contrib library contribution: [description]` - SDK/CLI bug or missing primitive -> `/babysitter:contrib bug report: [description]` - Documentation gap that tripped the external author -> `/babysitter:contrib documentation question: [what was unclear]` - If the process author is findable (repo owner, git author of the process file), suggest opening an issue on their repo with a pointer to the retrospective document.
## Notes
- Honour the target repo's LICENSE when quoting code in the retrospective. Short excerpts for analysis are fair use; do not wholesale copy process files into this repo. - Never execute the external process -- retrospectives are read-only analysis. - If the run journal is very large (>500 events), sample: first 20, last 20, plus every EFFECT that transitioned to resolved or failed.
Source provenance
Decision snapshot
1,759 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 retrospect-external-babysitter-run, ready for a manual X post.
retrospect-external-babysitter-run: For a repository in the babysitter-users catalog, locate its babysitter processes and any com... 1.8K stars https://www.openagentskill.com/skills/a5c-ai-retrospect-external-babysitter-run?ref=x
Listing + install path for retrospect-external-babysitter-run: https://www.openagentskill.com/skills/a5c-ai-retrospect-external-babysitter-run?ref=x Install: npx skills add a5c-ai/babysitter --skill retrospect-external-babysitter-run
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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.
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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.
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Codex install prompt
Install the "retrospect-external-babysitter-run" agent skill from https://github.com/a5c-ai/babysitter/tree/main/.claude/skills/retrospect-external-babysitter-run. 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: For a repository in the babysitter-users catalog, locate its babysitter processes and any committed runs (.a5c/runs/<runId>/) and perform a retrospective on a chosen run -- what went well, what failed, process suggestions, quality of effect design, breakpoint patterns -- mirroring the /babysitter:retrospect workflow but applied to an external repo. Invoke when asked to "retrospect on repo X's run", "analyze how someone else used babysitter", or "review an external babysitter run". 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":"a5c-ai-retrospect-external-babysitter-run","task":"Install retrospect-external-babysitter-run","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 + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add a5c-ai/babysitter --skill retrospect-external-babysitter-run
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fresh
5d since push
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Dependency or permission surface needs review · Permission surface may require sandboxing
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StrongSolid option that is likely worth shortlisting for production workflows.
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Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
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Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
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Run only in a sandbox and compare close alternatives before using it for real work.
Stars
1.8K GitHub stars
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1.8K stars, 103 forks
Maintenance
5d since push
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MIT
Install
npx skills add a5c-ai/babysitter --skill retrospect-external-babysitter-run
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npx skills add a5c-ai/babysitter --skill retrospect-external-babysitter-runDo not use when
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Test manually in an isolated workspace and compare against safer alternatives.
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Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
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high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
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/api/agent/resolve?task=Use%20retrospect-external-babysitter-run%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
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Task: Use retrospect-external-babysitter-run in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20retrospect-external-babysitter-run%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/a5c-ai-retrospect-external-babysitter-run/install
Install command: npx skills add a5c-ai/babysitter --skill retrospect-external-babysitter-run
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/api/skills/a5c-ai-retrospect-external-babysitter-run/install
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/api/skills/a5c-ai-retrospect-external-babysitter-run/install?format=text
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Use retrospect-external-babysitter-run for this task. Review https://www.openagentskill.com/api/skills/a5c-ai-retrospect-external-babysitter-run/install, then install with: npx skills add a5c-ai/babysitter --skill retrospect-external-babysitter-runRegistry metadata
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Claude Code
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A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
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Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
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PASS1.8K GitHub stars
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INFO1.8K stars, 103 forks; issue activity unavailable in current metadata
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PASS5d since push
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Run only in a sandbox and compare close alternatives before using it for real work.
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Solid option that is likely worth shortlisting for production workflows.
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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: retrospect-external-babysitter-run description: For a repository in the babysitter-users catalog, locate its babysitter processes and any committed runs (.a5c/runs/<runId>/) and perform a retrospective on a chosen run -- what went well, what failed, process suggestions, quality of effect design, breakpoint patterns -- mirroring the /babysitter:retrospect workflow but applied to an external repo. Invoke when asked to "retrospect on repo X's run", "analyze how someone else used babysitter", or "review an external babysitter run". ---
# Retrospect External Babysitter Run
Analyse a babysitter run that lives in an external public repository, using the same lens as the in-repo `/babysitter:retrospect` command. Produce a written retrospective with concrete suggestions for the process author (or, if the insight generalizes, for the babysitter project itself).
## When to use
- User names an external repo and asks for a retrospective. - User asks "find a babysitter run to retrospect on" (combine with the `catalog-babysitter-users` skill to pick one). - User asks "how are other people using babysitter processes? What do they get wrong?".
## Prerequisites
- `gh` CLI authenticated. - `docs/repo-with-babysitter-processes.md` exists (if not, run the `catalog-babysitter-users` skill first). - A workspace directory where external repos can be shallow-cloned (default: `/tmp/babysitter-retrospect/` or `.a5c/tmp/external-runs/`).
## Phase 1 -- Target selection
1. Read `docs/repo-with-babysitter-processes.md` and list Active repos with stars + description. If the user already named a repo, skip to step 3. 2. Ask the user which repo to retrospect on (use AskUserQuestion in interactive mode; if non-interactive, pick the highest-starred Active repo that wasn't retrospected in the last 30 days -- track via `docs/retrospectives/<owner>-<name>/log.md`). 3. Confirm the target with the user before cloning.
## Phase 2 -- Discover processes and runs
Shallow clone the target:
```bash mkdir -p .a5c/tmp/external-runs cd .a5c/tmp/external-runs gh repo clone <owner>/<name> -- --depth 50 --single-branch cd <name> ```
Locate:
- **Process files**: files importing `defineTask` from `@a5c-ai/babysitter-sdk`. Use Grep: `grep -rl "from '@a5c-ai/babysitter-sdk'" -- . --include='*.js' --include='*.ts'`. - **Committed runs**: `.a5c/runs/<runId>/` directories. Many repos gitignore `.a5c/runs/` entirely -- that's fine; note it and proceed with process-only retrospective. When runs ARE committed, look for `run.json`, `journal/`, `tasks/`, `state/output.json`. - **Historical runs via git log**: `git log --all --diff-filter=A --name-only -- '.a5c/runs/'` surfaces runs that existed at some commit even if later cleaned up. Check out the commit that introduced the run if you want the journal content.
Summarize to the user:
- N process files found, by top-level directory - M run directories present in HEAD; P additional historical runs reachable via git history - Which runs completed vs failed (grep `RUN_COMPLETED` / `RUN_FAILED` in the journal)
## Phase 3 -- Pick a run to retrospect
If multiple runs exist, ask the user (interactive) or default (non-interactive) to:
- The most recent failed run (highest signal for process improvement), OR - If no failures, the most recent completed run.
If no runs are committed at all, switch to a **process-only retrospective**: analyse the process file(s) for quality issues without run evidence. Mark the output clearly as process-only.
## Phase 4 -- Load the run
Inspect, in order:
- `.a5c/runs/<runId>/run.json` -- processId, entrypoint, prompt, createdAt - `.a5c/runs/<runId>/inputs.json` -- user intent - `.a5c/runs/<runId>/journal/*.json` -- event stream (RUN_CREATED, EFFECT_REQUESTED, EFFECT_RESOLVED, RUN_COMPLETED / RUN_FAILED). Read every journal entry; it is the authoritative record. - `.a5c/runs/<runId>/tasks/<effectId>/task.json` + `result.json` -- per-effect definition and result - `.a5c/runs/<runId>/state/output.json` (if present) -- final output - The process file referenced by `run.json.entrypoint` -- cross-reference against the journal to see what the author intended vs what happened.
## Phase 5 -- Retrospective analysis
Mirror the in-repo `/babysitter:retrospect` workflow. Produce notes under each heading:
### 5.1 Outcome
- Success / partial success / failure. - Total iterations, duration, distinct effect count, retry count. - Final output quality (from `state/output.json` shape + content).
### 5.2 What went well
- Effects that resolved on first try. - Process sections with clear inputs/outputs and no re-runs. - Useful breakpoints that caught real issues before they propagated.
### 5.3 What went poorly
- Effects that were re-dispatched (same invocationKey or similar taskId appearing repeatedly). - Long gaps between EFFECT_REQUESTED and EFFECT_RESOLVED (external bottlenecks). - Breakpoints that looped (approval -> reject -> retry -> reject). - Tasks that crashed and what the error category was (Configuration / Validation / Runtime / External / Internal). - Any RUN_FAILED: trace the last few events and the thrown error.
### 5.4 Process-quality review
Evaluate the process file itself against these criteria:
- Determinism: does every effect have stable invocation keys (processId:stepId:taskId)? Any non-deterministic branching based on wall-clock time, random, or unpinned env vars? - Effect granularity: are tasks too coarse (one huge agent task vs several narrower ones) or too fine (dozens of tiny tasks)? - Idempotency: can the process be re-run safely? Does it use `ctx.task()` for all side effects, or does it write files outside a task? - Breakpoint discipline: are breakpoints used to gate irreversible actions? Do they follow the robust rejection pattern (loop with feedback)? - Error surfacing: does the process throw with useful context, or swallow errors? - Labels: are task labels meaningful and consistent (enables filtering / observability)? - Re-use: could any section be replaced by a shared component from `library/processes/shared/`?
### 5.5 Suggestions
Concrete, actionable suggestions in three buckets:
- **For the run** (if still in progress): what to retry, rollback, or fix first. - **For the process** (always): specific edits to the process file -- split this task, add this breakpoint, move that side-effect inside a task, use stableKey here.
Can it be generalized into a reusable pattern or library process in the processes library? If so, suggest that too. (also using `/babysitter:contrib library ...`)
- **For babysitter upstream** (when the insight generalizes): missing primitives, confusing SDK behavior, documentation gaps worth filing via `/babysitter:contrib`.
Every suggestion must cite evidence -- a journal event, a file path, a line range.
## Phase 6 -- Write the retrospective
Write to `docs/retrospectives/<owner>-<name>/<runId-or-process-name>.md` with this structure:
```markdown # Retrospective: <owner>/<name> -- <runId or process name>
Date: YYYY-MM-DD Source commit: <sha> Process: <relative path> Run: <runId or "process-only"> Outcome: <success | failure | process-only>
## Context <1-3 sentences on what the process is trying to do and the user intent from inputs.json>
## Timeline <bullet timeline of key journal events with timestamps and durations>
## What went well ...
## What went poorly ...
## Process-quality review ...
## Suggestions ### For the run ### For the process ### For babysitter upstream
## Evidence <links to specific journal event files, task.json files, line-anchored process file refs> ```
Also append a one-line entry to `docs/retrospectives/<owner>-<name>/log.md` with the date, runId, and outcome, so we don't re-retrospect the same run.
## Phase 7 -- Cleanup and callbacks
- Leave the shallow clone under `.a5c/tmp/external-runs/` in place (it's cheap). If disk pressure, note this to the user; do NOT auto-delete. - Suggest the user use `/babysitter:contrib` for any upstream-worthy insight: - Process/skill improvement idea -> `/babysitter:contrib library contribution: [description]` - SDK/CLI bug or missing primitive -> `/babysitter:contrib bug report: [description]` - Documentation gap that tripped the external author -> `/babysitter:contrib documentation question: [what was unclear]` - If the process author is findable (repo owner, git author of the process file), suggest opening an issue on their repo with a pointer to the retrospective document.
## Notes
- Honour the target repo's LICENSE when quoting code in the retrospective. Short excerpts for analysis are fair use; do not wholesale copy process files into this repo. - Never execute the external process -- retrospectives are read-only analysis. - If the run journal is very large (>500 events), sample: first 20, last 20, plus every EFFECT that transitioned to resolved or failed.
Source provenance
Decision snapshot
1,759 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 retrospect-external-babysitter-run, ready for a manual X post.
retrospect-external-babysitter-run: For a repository in the babysitter-users catalog, locate its babysitter processes and any com... 1.8K stars https://www.openagentskill.com/skills/a5c-ai-retrospect-external-babysitter-run?ref=x
Listing + install path for retrospect-external-babysitter-run: https://www.openagentskill.com/skills/a5c-ai-retrospect-external-babysitter-run?ref=x Install: npx skills add a5c-ai/babysitter --skill retrospect-external-babysitter-run
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Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
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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
Usable metadata, review docs
Risk summary
Install readiness
Permission surface
secrets or environment access, shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness
Permission surface
secrets or environment access, shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness
Permission surface
secrets or environment access, shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness