forge-adopt
Skill2 starsChanged 5 months agoMITView on GitHub
Onboard an EXISTING codebase into Forge (brownfield adoption). Use when the
In this repository46 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- forge-opencode/CLAUDE.mdCLAUDE.md
- 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
- forge-planSkill
- 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
Files
forge-adopt
Bring an existing codebase into the Forge pipeline. Adopt detects the project type,
samples a bounded set of files, fans out extractors to infer an SRS and an
architecture map, seeds pipeline/state.md, and enters the normal 12-stage flow at
Stage 1 so you confirm the inferred artifacts before building on them.
When to Use
- User runs
/forge:adopton a repo that already has code - User wants reverse-engineered SRS / architecture drafts to start from
- The project predates Forge and needs onboarding (not greenfield
/forge:init)
Guarantees
- Read-only to your source. Adopt writes ONLY under
pipeline/and.forge/— it never modifies your code. - Everything is marked INFERRED with a confidence score and the files it was derived from. Forge proposes; you confirm.
- Bounded. Sampling is capped (
adopt.max_files, default 40); what was sampled vs skipped is reported — no silent truncation. - Refuses if
pipeline/state.mdalready exists (that project is already initialized).
How to run
Preview first — --dry-run reports the plan and spends nothing:
python3 ${CLAUDE_PLUGIN_ROOT}/scripts/adopt.py --cwd . --dry-runThen run it for real (fans the extractors out via the orchestration primitive; the dimensions are cost-gated):
python3 ${CLAUDE_PLUGIN_ROOT}/scripts/adopt.py --cwd .It prints a JSON summary (project_type, sampled/skipped, written,
dropped_aspects, cost_usd). Relay it, then tell the user the inferred drafts under
pipeline/01-srs/ and pipeline/03-architecture/ are drafts to confirm, and that
the pipeline is seeded at Stage 1. If any aspect was dropped, say so — don't imply full
coverage. From here, /forge:srs / /forge:architecture refine the drafts with gates
intact.
Does it work?
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