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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.

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Commande d'installation

npx skills add https://github.com/vamseeachanta/workspace-hub --skill flywheel-closeout

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Source

vamseeachanta/workspace-hub

Étoiles10

Forks6

Mis à jour3 juin 2026 à 01:14

SKILL.md

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name	flywheel-closeout
description	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.

Flywheel Closeout

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

Workflow

Gather explicit source evidence: issue URLs, PR URLs, commit SHAs, handoff paths, and review artifacts.
Run uv run --no-project python scripts/workflow/flywheel_closeout.py with --mode propose.
Inspect manifest.json, report.html, and issue-drafts/.
Route local behavior changes to the local repo. Route skills, shared scripts, rules/checks, provider workflow, and review-artifact contracts to workspace-hub.
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.

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Source

vamseeachanta

vamseeachanta/workspace-hub

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Commande d'installation

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Développeurs de logicielsProfessions informatiques et mathématiques15-1252L4

name	flywheel-closeout
description	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.

Flywheel Closeout

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

Workflow

Gather explicit source evidence: issue URLs, PR URLs, commit SHAs, handoff paths, and review artifacts.
Run uv run --no-project python scripts/workflow/flywheel_closeout.py with --mode propose.
Inspect manifest.json, report.html, and issue-drafts/.
Route local behavior changes to the local repo. Route skills, shared scripts, rules/checks, provider workflow, and review-artifact contracts to workspace-hub.
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.