Use when this workflow matches the user request: Create, refactor, evaluate, and package agent skills from workflows, prompts, transcripts, docs, or notes. Use for skill creation, reusable workflow packaging, skill improvement, evals, and team-ready distribution.
Source: yaojingang/yao-meta-skill (MIT).
description.SKILL.md lean; put guidance in references/, logic in scripts/, and evidence in reports/.Scaffold: exploratory/personal. Production: team reuse. Library: shared infrastructure. Governed: high-trust, policy-sensitive, or release-critical.Do not create a skill; near-neighbor; require repeated use + reusable output contract.description early, test route quality, then add only earned folders and gates.Playbooks: Method, Intent, Skill IR, Output Eval, Review Studio.
For production, library, governed, or team-distributed work, run Skill IR, target compiler, trigger + output eval, Skill Atlas, conformance, trust, registry/package/install, upgrade, drift, waiver, and Review Studio gates before release.
For file-backed, release-critical, or governed packages, name input_files as file-backed fixture evidence; include owner, review cadence, input_files, output contract, rollback boundary; require trust report and reports/output_quality_scorecard.md; mark unavailable telemetry, approvals, metrics, or benchmarks as missing evidence; do not fabricate evidence.
Preserve audit labels literally when they apply: file-backed fixture, input_files, output contract, rollback boundary, trust report, reports/output_quality_scorecard.md, missing evidence.
2-3 key questions unless enough detail exists.Unless asked otherwise, produce SKILL.md, aligned agents/interface.yaml, justified assets, and a short summary of boundary, exclusions, gates, and next steps.
Primary: Method, Artifact Design, Systems Thinking, Governance, SkillOps Decision.