forge-plan
Skill2 starsChanged 5 months agoMITView on GitHub
Run Stage 5 of the Forge pipeline — implementation planning. Use when the
7 other projects use a version of this.
Adopted by
Most recently taken up by
- brightstack/forgetheir own version, first seen Nov 8, 2026
- KhaledAufDB/lakeforgetheir own version, first seen Oct 13, 2026
- Dshamir/slm-forgetheir own version, first seen Oct 13, 2026
- tinyorbit-ai/skillstheir own version, first seen Aug 20, 2026
- khaledayeva/star-forgetheir own version, first seen Jul 26, 2026
- redteamlife/forgetheir own version, first seen Jul 26, 2026
Used with
Projects with it also use forge-ship and Forge.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
redteamlifeSkillforge-ship
Use when the user asks to merge, release, promote, reconcile, or close out work in a repo containing `docs/forge/` or governed by FORGE. Not for per-task commits; those complete inside forge-execute-task.
Also in 3 projects that use this
ikennaokpalaSkillForge
Autonomous quality engineering swarm that forges production-ready code through continuous behavioral verification, exhaustive E2E testing, and self-healing fix loops. Combines DDD+ADR+TDD methodology with BDD/Gherkin specifications, 7 quality gates, defect prediction, chaos testing, and cross-context dependency awareness. Architecture-agnostic - works with monoliths, microservices, modular monoliths, and any bounded-context topology.
Also in 4 projects that use this
Other versions7 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 7
- brightstack/forge★ 13same name
- Dshamir/slm-forge★ 1same name
- khaledayeva/star-forge★ 1same name
- orkait/hyperstack★ 1same name
- redteamlife/forge★ 1same name
- tinyorbit-ai/skills★ 1same name
- KhaledAufDB/lakeforge★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository46 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- forge-opencode/CLAUDE.mdCLAUDE.md
- forge-adoptSkill
- forge-arch-proSkill
- forge-archSkill
- forge-autopilotSkill
- forge-autopilot-stopSkill
- forge-build-proSkill
- forge-buildSkill
- forge-deploySkill
- forge-doctorSkill
- dreamer-runSkill
- forge-evalSkill
- forge-feedbackSkill
- flowSkill
- forge-force-advanceSkill
- graduateSkill
- health-checkSkill
- forge-initSkill
- forge-monitorSkill
- forge-orchestrateSkill
- forge-plan-proSkill
- preflightSkill
- forge-product-proSkill
- forge-productSkill
- forge-releaseSkill
- forge-resolveSkill
- forge-resumeSkill
- forge-retroSkill
- forge-reviewSkill
- forge-rulesSkill
- forge-set-profileSkill
- skill-creatorSkill
- forge-spec-proSkill
- forge-specSkill
- forge-sprint-proSkill
- forge-sprintSkill
- forge-srs-proSkill
- forge-srsSkill
- forge-statusSkill
- forge-trace-matrixSkill
- forge-uninstallSkill
- forge-validateSkill
- watchSkill
- watch-stopSkill
- forge-whySkill
The file
We split this skill into the rules it gives an agent
9 rules. 0 are common, 2 are distinctive, and 7 are very specific to this project.
0
Common
Most of the 7 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
7
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 26
If it exits non-zero, STOP: present its message verbatim and do not proceed — the prior stage must be completed first (or use …
- Very specific: line 30
Read pipeline/state.md — confirm Forge project.
- Distinctive: line 32
If stage > 5, ask if the user wants to revise the plan.
- Very specific: line 33
Run python3 ${CLAUDE_PLUGIN_ROOT}/scripts/load-profile.py --cwd .
- Very specific: line 37
Read agents/planner.md to load the Planner persona.
- Very specific: line 39
Read pipeline/04-spec/technical-spec.md and pipeline/03-architecture/architecture.md.
- Distinctive: line 40
Follow the Planner workflow: decompose into tasks, map dependencies, identify critical path, enumerate risks.
- Very specific: line 42
Write pipeline/05-plan/task-dag.md and pipeline/05-plan/risk-register.md per the Output Contract.
- Very specific: line 43
Run python3 ${CLAUDE_PLUGIN_ROOT}/scripts/state-manager.py advance --to 5 to mark Stage 5 active.
“Common” is measured: kept by at least 6 in 10 of the 7 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
/forge:plan — Implementation Planning
When to Use
- User says
/forge:plan - User wants a task breakdown, DAG, effort estimates, milestones, or risk register
- Working in a Forge project at Stage 4 or 5
Pre-flight Check
Entry gate (REQ-GATE-ENTRY-001) — before adopting the persona, verify the prior stage's artifact exists:
python3 ${CLAUDE_PLUGIN_ROOT}/scripts/state-manager.py preflight --stage 5If it exits non-zero, STOP: present its message verbatim and do not proceed —
the prior stage must be completed first (or use /forge:force-advance to skip
intentionally).
- Read
pipeline/state.md— confirm Forge project. - Confirm
pipeline/04-spec/technical-spec.mdexists. If not: "Complete Stage 4 first (/forge:spec)." - If stage > 5, ask if the user wants to revise the plan.
- Run
python3 ${CLAUDE_PLUGIN_ROOT}/scripts/load-profile.py --cwd . --stage 5to load project-type overrides and thestage_emphasishints — use the emphasis to weight effort estimates (e.g., ML projects emphasize spec/eval/monitor, so reserve more tasks there).
Steps
- Read
agents/planner.mdto load the Planner persona. - Adopt that persona — you are now the Planner.
- Read
pipeline/04-spec/technical-spec.mdandpipeline/03-architecture/architecture.md. - Follow the Planner workflow: decompose into tasks, map dependencies, identify critical path, enumerate risks. Apply the profile's emphasis: under-emphasized stages get lighter task budgets, over-emphasized stages get explicit milestones.
- Outline, then confirm (REQ-INTERACTIVE-CONFIRM-001). Before generating the full task DAG, present a short OUTLINE / table of contents — the proposed milestones, the high-level task groups (and rough task count per group), and the top risks. Then PAUSE and ask the user to confirm ("Shall I write the full task DAG, or adjust the breakdown first?"). Do not write the full document until the user confirms — this gives them a cheap chance to redirect before the expensive generation.
- Write
pipeline/05-plan/task-dag.mdandpipeline/05-plan/risk-register.mdper the Output Contract. - Run
python3 ${CLAUDE_PLUGIN_ROOT}/scripts/state-manager.py advance --to 5to mark Stage 5 active.
Verification
After running, confirm:
pipeline/05-plan/task-dag.mdexists with T-IDs, dependencies, and effort estimatespipeline/05-plan/risk-register.mdexists with R-IDs and mitigationspipeline/state.mdshowscurrent_stage: 5
Next Step
Derive the hint from the canonical stage table — never hardcode it (REQ-NEXTHINT-001, single source of truth). Run the helper and present its output to the user verbatim:
python3 ${CLAUDE_PLUGIN_ROOT}/scripts/state-manager.py next-hint --stage 5Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

