Creator · radimsem
Last updated · Aug 24, 2026
blacksmith-orchestrate
Orchestrate many forge runs at once: analyze which tasks collide on the same files, schedule the colliding ones sequentially, and run the rest in parallel worktrees at the right model tier and review depth. Use when the user runs /blacksmith-orchestrate or asks to ship several is
Do not auto-install
Install targets
Codex install prompt
Install the "blacksmith-orchestrate" agent skill from https://github.com/radimsem/forge-skills/tree/main/skills/blacksmith-orchestrate. 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: Orchestrate many forge runs at once: analyze which tasks collide on the same files, schedule the colliding ones sequentially, and run the rest in parallel worktrees at the right model tier and review depth. Use when the user runs /blacksmith-orchestrate or asks to ship several issues, a milestone, or a written implementation plan in one go. 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":"radimsem-blacksmith-orchestrate","task":"Install blacksmith-orchestrate","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
Coding and developer agents
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add radimsem/forge-skills --skill blacksmith-orchestrate
Maintenance
fresh
Pushed today
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
15
59/100 Quality · 64/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
Trust, audit, and install readiness at a glance
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
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Do not auto-installTrust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Human review before install
Choose a stronger alternative or inspect the source manually before any install attempt.
Stars
15 GitHub stars
Repo activity
15 stars, 0 forks
Maintenance
Pushed today
License
MIT
Install
npx skills add radimsem/forge-skills --skill blacksmith-orchestrate
Install safety
standard package or runtime install path
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
Review before production
- The skill depends heavily on the `forge` workflow and Claude Code runtime; its behavior outside that environment is less clear, though the degradation path is acknowledged.
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
Install readiness
Install path available
- Install path is available
- Repository evidence is available
- License is declared
- No Agent Proven outcome evidence yet
Agent-readable metadata
Machine-readable decision data for this skill.
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.
View technical data+
Agent-readable metadata
Machine-readable decision data for this skill.
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
- Local desktop workflows
- Claude Code teams
- builders willing to evaluate younger projects
- Navigate local resources
Suited agents
Install decision
- Command
- npx skills add radimsem/forge-skills --skill blacksmith-orchestrate
- Policy
- block
- Human review
- yes
Trust and risk
- Trust
- 56/100
- Audit
- 71/100
- Risk level
- Needs review
Outcome loop
- Endpoint
- /api/agent/outcome
- Event ID
- resolve
- Outcomes
- 5
Install command
npx skills add radimsem/forge-skills --skill blacksmith-orchestrateDo not use when
- teams that need a vendor-supported SLA
- production agents without a repository review
- Low GitHub adoption signal
- The skill depends heavily on the `forge` workflow and Claude Code runtime; its behavior outside that environment is less clear, though the degradation path is acknowledged.
- No OpenAgentSkill engagement data yet
Agent safety v2
23/100 · Avoid automatic install
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
Shell or command execution
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Browser automation
Skill may drive a browser or interact with web pages.
medium
Network access
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Filesystem access
Skill may read or write project files, documents, generated artifacts, or local workspace state.
- High-risk permission hints: Shell or command execution, Secrets or environment access
- Dependency or permission surface needs review
Agent resolve plan
Let an agent verify fit before installing.
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%20blacksmith-orchestrate%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20blacksmith-orchestrate%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/radimsem-blacksmith-orchestrate/install
Agent should check
- Task fit and alternatives from Resolve API.
- Audit score, trust score, and safety policy warnings.
- Install target compatibility for Codex, Claude Code, Cursor, or CLI.
Copy prompt
Task: Use blacksmith-orchestrate in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20blacksmith-orchestrate%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/radimsem-blacksmith-orchestrate/install
Install command: npx skills add radimsem/forge-skills --skill blacksmith-orchestrate
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Give an agent the install path, not another directory page.
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/radimsem-blacksmith-orchestrate/install
LLM text format
/api/skills/radimsem-blacksmith-orchestrate/install?format=text
Find alternatives
/api/skills/search?q=blacksmith-orchestrate&limit=3
Agent prompt
Use blacksmith-orchestrate for this task. Review https://www.openagentskill.com/api/skills/radimsem-blacksmith-orchestrate/install, then install with: npx skills add radimsem/forge-skills --skill blacksmith-orchestrateRegistry metadata
Agent-readable profile for automatic skill selection.
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/radimsem-blacksmith-orchestrate
LLM text
/api/registry/manifest/radimsem-blacksmith-orchestrate?format=text
Install alias
/api/registry/install/radimsem-blacksmith-orchestrate
Recommend
/api/registry/recommend?task=Use%20blacksmith-orchestrate%20in%20an%20agent%20workflow&limit=3
Agent fit
Local desktop
Use-case tags
Platforms
Claude Code, OpenAI Agents
Audit report
Needs review · 71/100
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Fallback candidate for Local desktop
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Local desktop
Trust label
Prototype first
Install path
Command ready
Use when
- Local desktop workflows
- Claude Code teams
- builders willing to evaluate younger projects
Evidence
- recent repository activity
- install command or GitHub repo available
- 59/100 quality profile
review first
- Low GitHub adoption signal
- The skill depends heavily on the `forge` workflow and Claude Code runtime; its behavior outside that environment is less clear, though the degradation path is acknowledged.
- No OpenAgentSkill engagement data yet
Implementation path
- 1Install it in a sandbox agent and run one Local desktop task end to end.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Trust profile
Do not auto-install
Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
GitHub adoption
FIX15 GitHub stars
Stars/forks activity
FIX15 stars, 0 forks; issue activity unavailable in current metadata
Recent maintenance
PASSPushed today
License clarity
PASSMIT
Good signals
- AI review approved
- Install path is available
- Repository evidence is available
- Recently maintained repository
- Install command has no obvious high-risk pattern
- Outcome loop is ready but needs first real agent run
Review before install
- The skill depends heavily on the `forge` workflow and Claude Code runtime; its behavior outside that environment is less clear, though the degradation path is acknowledged.
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 15 GitHub stars
- Stars/forks activity: 15 stars, 0 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
- No real agent outcome reports yet
- Human review required before unattended installation
Recommended action
Choose a stronger alternative or inspect the source manually before any install attempt.
Quality profile
Promising candidate for agent workflows
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Use this skill in these scenarios
Operate local tools
Local desktop
I need my agent to operate local files and desktop apps in a repeatable workflow.
Automate repeated work
Workflow automation
I need my agent to automate a repeated workflow across tools and files.
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Workflow fit
Add it to a complete workflow
Turn skills into distribution
Content growth agent
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Operate and verify web apps
Browser QA agent
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Compare before you install
Similar skills that may fit this task.
UI-TARS Desktop
Run multimodal agents that operate desktop interfaces
MoneyPrinterTurbo
利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
Cua
Open-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and evaluate AI agents that can control full desktops (macOS, Linux, Windows).
Overview
--- name: blacksmith-orchestrate description: "Orchestrate many forge runs at once: analyze which tasks collide on the same files, schedule the colliding ones sequentially, and run the rest in parallel worktrees at the right model tier and review depth. Use when the user runs /blacksmith-orchestrate or asks to ship several issues, a milestone, or a written implementation plan in one go." ---
# Blacksmith Orchestrate
> Decide **which tasks run, in what order, at what depth, by which model, in which worktree** — then dispatch one forge run per task.
## Overview
This is a wrapper around `forge`, not a fork of it. It never reimplements a forge step: every task it dispatches runs the ordinary twelve-step forge workflow, and everything this skill adds is a decision *about* those runs — which ones may run at the same time, how deep each one goes, and where each one's work lives.
Nine numbered steps, split by one gate, deliberately mirroring forge's shape:
``` Part 1 — Plan (1–5): normalize → materialize → analyze → schedule → [GATE] battle plan Part 2 — Execute (6–9): provision → dispatch waves → relay → close-out
gate held: no worktree is created and no forge Part 2 runs until "yes, forge them" ```
| Step | Action | |---|---| | 1 | Parse the invocation; split orchestrator flags from pass-through forge flags; route the work source into a canonical task list | | 2 | Materialize refs — spec-file and free-form routes get real issue refs via `/to-tickets`, or synthetic `T1..Tn` IDs if the user declines filing | | 3 | Analyze — route each task to the plan-sourced path or the scout fan-out | | 4 | Build the collision graph, triage matrix and worktree grouping → scheduling waves | | 5 | **[GATE]** one battle plan, one approval | | 6 | Provision worktrees; write the run ledger | | 7 | Dispatch waves — one agent per task at its assigned model tier and forge depth | | 8 | Relay — prove a blocker's changes are on the dependent's base, rebase, release | | 9 | Close-out — aggregate report, PR list, worktree cleanup reminders, self-evolution |
Forge's hard floors are inherited unchanged, and orchestrating many runs never relaxes them: every run's Step 12 `/goal` verification still has to pass before that run assembles a commit, and no dispatched run ever writes back to the *source* issue or ticket it was dispatched for — that stays with the user under every flag combination, `afk` included. That is narrower than "never writes to a tracker": Step 2 files *new* issues via `/to-tickets` for the plan and free-form routes, including under `automode`, exactly as forge's own Step 10 sanctions filing spin-off issues it did not author — see [references/entry-routes.md](references/entry-routes.md). Whether a dispatched run may also commit and open a PR for its own task is a separate question, resolved three ways: by default, the Step 5 "yes, forge them" approval *is* the Step 12 commit-and-PR selection forge requires, granted once for every task the approved plan named (see Step 7); under `automode` without `afk`, nobody made that selection, so every dispatched run stops at its own Step 12 plan-only output, exactly as a standalone `automode` forge run does, and nothing is pushed; `afk` is the single sanctioned exception, authorizing unattended commit-and-PR as well as the blocking-PR merge it already governs — it is labelled that way everywhere it appears, so the exception stays auditable instead of becoming a quiet contradiction. Terminal PRs and worktree cleanup stay with the user under every flag combination, `afk` included.
"The agent" means whatever agent runs this skill, and "one agent per task" means whatever subagent or parallel-run mechanism the runtime exposes. Adapt every reference — config directory, agent guide, interview UI, host CLI — to your runtime, exactly as forge does. If the runtime cannot run work in parallel at all, say so and fall back to running the waves sequentially rather than pretending to fan out.
## Runtime
This skill is Claude-Code-first, degrading elsewhere in the same way forge's `codex` and `coderabbit` flags do: each surface below is used where the host provides it, and the workflow still completes, one step slower, where it does not.
| Surface | Used for | Why | |---|---|---| | Workflow tool | Step 3b scout fan-out | bounded parallel fan-out, schema-validated returns, keeps N proposals out of the orchestrator's context | | Agent tool | Step 7 implementation dispatch | per-agent model selection, and the human gates and multi-hour parks live in the main loop | | Ledger file | Steps 6–9 state | survives `/compact`, crash and resume |
This is the same runtime-parallelism degradation the Overview already states — "If the runtime cannot run work in parallel at all, say so and fall back to running \[...\] sequentially rather than pretending to fan out." This section does not restate that rule independently; it is the same rule applied to the three Claude-Code surfaces above. Concretely here: on a non-Claude-Code runtime the skill degrades with a one-line warning to sequential forge runs in dependency order, one worktree per component, no `afk`, and inline analysis instead of a scout fan-out.
## Parameters
Parse the invocation as `/blacksmith-orchestrate <work-source> [orchestrator-flags] [forge-flags]`. Flag words are orthogonal and can appear anywhere in the request, exactly as in forge. The `<work-source>` is one of five routes — one or more issue refs, a tracker container such as a milestone or epic or label, `plan <path>`, a quoted free-form goal, or `resume` — and routes may combine in a single invocation, so every task carries the route it arrived by. Read **[references/entry-routes.md](references/entry-routes.md)** for the route table, how the routes normalize into one task list, and how containers expand.
Full flag matrix (effects, composition rules, conflicts): **[references/flags.md](references/flags.md)**.
### Orchestrator flags
These are consumed by the orchestrator and are never passed through to a forge run. Each row's detail file owns that flag's behavior.
| Flag | Effect | Detail | |---|---|---| | `afk` | After a 5-minute quiet timeout, self-verify and merge **blocking PRs only** — the single sanctioned exception to forge's never-auto-push floor | [references/afk.md](references/afk.md) | | `resume` | Resume a run from its ledger instead of starting a new one | [references/ledger.md](references/ledger.md) | | `budget <n>` | Token ceiling for the run, with a deterministic degradation ladder | [references/scheduling.md](references/scheduling.md) | | `strict` | No depth downgrade; every task runs full forge | [references/triage.md](references/triage.md) | | `stack` | Blocked tasks on a **soft** edge base off the blocker's branch and open stacked PRs; hard-edge blocks still park | [references/scheduling.md](references/scheduling.md) | | `rescout` | Force scout analysis even where dispatch-ready plans exist | [references/plan-sourced.md](references/plan-sourced.md) | | `max <n>` | Concurrent implementation agents; default `4` | [references/scheduling.md](references/scheduling.md) | | `dry` | Emit the battle plan and stop; dispatch nothing | [references/battle-plan.md](references/battle-plan.md) | | `unified` / `split` | Override worktree grouping: `unified` puts a coupled cluster in one worktree behind one PR, `split` gives every task its own | [references/scheduling.md](references/scheduling.md) | | `plan <path>` | Source tasks from a written implementation plan; each plan task becomes one orchestration task | [references/plan-sourced.md](references/plan-sourced.md) |
Every other flag forge understands passes through unchanged to every dispatched run: `automode`, `docs`, `tdd`, `lookup`, `secure`, `changelog`, `ci-watch`, `compress`, `implement`, `codex`, `codex challenge`, `codex impl`, `coderabbit`, and `code-review`. Two of forge's flags are overridden rather than passed through as written. `worktree` is always implied and orchestrator-managed, because Step 6 provisions, names and tracks every worktree itself and a run-level worktree decision cannot be delegated to the individual runs; passing it explicitly is accepted with a one-line note rather than treated as an error, since the user is asking for what already happens. `automode` lifts the Step 5 battle-plan gate exactly as it lifts forge's Step 6 gate, and still passes through to each dispatched run; it does not lift any hard floor named in the Overview.
## When to Use
- `/blacksmith-orchestrate <refs>` with two or more issue or ticket refs. - "ship this milestone", "implement this plan", "fix these five issues". - A written implementation plan whose tasks should all land in one sitting. - Any request to run several forge-shaped pieces of work together, where the ordering between them matters. - Work **too large even for one battle plan** — more than one agent session can hold — goes to **`/wayfinder`** first: it maps the destination as decision tickets on the tracker, and the resulting ticket set comes back into this skill through the ordinary refs or container route, blocking edges included.
**Don't use** when: - A single issue, ticket or PR is in scope. Use `/forge <ref>`: with one task there is no collision graph, no wave to schedule and no topology to choose, so the wrapper adds a second gate and buys nothing. - No work source is given. Ask which issues, milestone or plan is meant rather than inferring a task list from the repo, for the reason in Step 1.
## Step 1 — Parse the invocation and normalize the work source
Split the invocation into three parts: the work source, the orchestrator flags from the Parameters table, and every remaining flag, which is forge pass-through. A token that matches neither the orchestrator flag table nor forge's own flag list is **not** assumed to be a pass-through flag: stop, name the token back to the user, and suggest the near miss when there is an obvious one — `strct` almost certainly meant `strict`. Forge lives with the same open-world assumption and pays for it once; here an unrecognized token is forwarded to every dispatched run and silently dropped by each, so a user who typed `strct` gets depth triage applied across the whole batch and finds out at close-out, which is the one place the cost of a typo scales with the wave. Route the work source into one canonical task list in which each task records the route it came from, because Step 3 chooses its analysis path per task rather than per run; the five routes, their combination rules and deduplication are in **[references/entry-routes.md](references/entry-routes.md)**. If no work source resolves — a bare invocation, or flags with nothing to act on — stop and ask which issues, milestone or plan is meant; inferring a batch from the repo would dispatch work nobody asked for across several worktrees at once, which is far more expensive to undo than one question is to ask. If both `unified` and `split` are present, stop and report the conflict instead of applying a precedence, because the two ask for opposite PR topologies and silently honouring one would hide from the user which shape actually shipped.
## Step 2 — Materialize refs
Every task needs a stable identifier before analysis, because the battle plan, the ledger, the worktree names and each dispatched forge run all address tasks by ref. Ref and container routes already have one; the plan and free-form routes do not, so file real issues for those tasks with **`/to-tickets`** and adopt the returned refs, or fall back to synthetic `T1..Tn` IDs when the user declines filing — a synthetic ID is local to this run and never reaches a tracker, so any later step that would write to a tracker for such a task skips that write and names the skip in the Step 9 report. The free-form route carries one exception: under `automode` its tasks are never filed, unless the user named the split themselves — for example by enumerating the tasks in
Technical details
- Version
- 1.0.0
- License
- MIT
- Last updated
- Aug 24, 2026
- Published
- Aug 24, 2026
Decision snapshot
Fallback candidate
recent repository activity
Audit
Install review
Install and adoption review
- Security
- 69/100
- Maintenance
- 100/100
- Install
- 92/100
Agent-proven evidence
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
- Success rate
- —
- Recent failure
- —
- Outcomes
- 0
- Output quality
- —
- Failed
- 0
- Not relevant
- 0
- Installs
- 0
- Risk blocked
- 0
- Setup needed
- 0
- Production
- 0
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
Add to agent workflow
Free and open source. Review the report before installing into production agents.
Growth loop
Share kit
Scenario-led draft for blacksmith-orchestrate, ready for a manual X post.
blacksmith-orchestrate: Orchestrate many forge runs at once: analyze which tasks collide on the same files, schedule... 15 stars https://www.openagentskill.com/skills/radimsem-blacksmith-orchestrate?ref=x
Optional reply with install command
Listing + install path for blacksmith-orchestrate: https://www.openagentskill.com/skills/radimsem-blacksmith-orchestrate?ref=x Install: npx skills add radimsem/forge-skills --skill blacksmith-orchestrate
Listing source
Registry indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- radimsem
- Source
- radimsem/forge-skills
- Indexed by
- OpenAgentSkill community index
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
Claim this skill listing
This Registry indexed listing is attributed to radimsem 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
Add the evidence badges to your README
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/radimsem-blacksmith-orchestrate)
[](https://www.openagentskill.com/skills/radimsem-blacksmith-orchestrate)
[](https://www.openagentskill.com/skills/radimsem-blacksmith-orchestrate/audit)
[](https://www.openagentskill.com/skills/radimsem-blacksmith-orchestrate)Author
radimsem
@radimsem
Tags
Platform fit
Health signals
- GitHub stars
- 15
- Quality score
- 32/100
- Last GitHub push
- Aug 24, 2026
- Framework hints
- Unknown
- OpenAgentSkill views
- 0
- Install copies
- 0
- Outbound clicks
- 0
Community signal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Trust & safety
Do not auto-install
- GitHub adoption15 GitHub starsFIX
- Stars/forks activity15 stars, 0 forks; issue activity unavailable in current metadataFIX
- Recent maintenancePushed todayPASS
- License clarityMITPASS
- README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
- Dependency/runtime riskcommand execution surface, credential or environment accessCHECK
Related skills
UI-TARS Desktop
Run multimodal agents that operate desktop interfaces
37.0K StarsMoneyPrinterTurbo
利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
88.5K StarsCua
Open-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and evaluate AI agents that can control full desktops (macOS, Linux, Windows).
21.4K Stars