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Flywheel Closeout

Use this at the end of substantial repo or agent waves to convert evidence-backed lessons into proposed durable assets: skills, scripts, rules/checks, prompt templates, docs, or issues. Always use it when the user mentions flywheel, wave closeout, repo ecosystem learning, durable asset promotion, or learning-to-tools.

vamseeachanta c68aeea 1.3 KB Updated
AI & ML

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Flywheel Closeout

Use this skill after meaningful agent waves, repeated defects, or cross-provider review cycles.

Workflow

  1. Gather explicit source evidence: issue URLs, PR URLs, commit SHAs, handoff paths, and review artifacts.
  2. Run uv run --no-project python scripts/workflow/flywheel_closeout.py with --mode propose.
  3. Inspect manifest.json, report.html, and issue-drafts/.
  4. Route local behavior changes to the local repo. Route skills, shared scripts, rules/checks, provider workflow, and review-artifact contracts to workspace-hub.
  5. Keep all outputs advisory in this first slice. Do not create issues, comments, labels, or approvals from this skill.

Gates

Preserve the normal repo workflow: issue, plan, adversarial review, user approval, implementation, code/artifact review, legal/security scan, and pre-completion cleanup audit.

Missing flywheel evidence is advisory until a later approved enforcement issue hardens it.

vamseeachanta/workspace-hub/tree/main/.claude/skills/coordination/flywheel-closeout commit c68aeea52f

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Frequently asked questions

npx skillmds@latest add vamseeachanta/flywheel-closeout