Skills Development Agent Skill Lifecycle Management Framework

Agent Skill Lifecycle Management Framework

v20260620
yao-meta-skill
This meta-skill provides a comprehensive framework for the entire lifecycle of AI agent skills. It supports creating, refactoring, rigorously evaluating (e.g., Skill OS 2.0 Gates), and securely packaging skills from various sources like workflows, prompts, and documents. It ensures standardized, team-ready, and governed deployment of advanced AI capabilities.
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Overview

Yao Meta Skill

When to Use

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).

Router Rules

  • Route by frontmatter description.
  • Keep SKILL.md lean; put guidance in references/, logic in scripts/, and evidence in reports/.
  • Use the lightest reliable process.

Modes

  • Scaffold: exploratory/personal. Production: team reuse. Library: shared infrastructure. Governed: high-trust, policy-sensitive, or release-critical.
  • Rules: Method, Operating Modes, Resource Boundaries.

Compact Workflow

  1. For one-off/no reusable process: Do not create a skill; near-neighbor; require repeated use + reusable output contract.
  2. Capture job, output, exclusions, constraints, standards, and the lightest fit.
  3. Scan references in order: external benchmark, user source, local fit; surface only uncertainty or conflict.
  4. Write description early, test route quality, then add only earned folders and gates.
  5. Add output-risk, artifact-design, prompt-quality, system-model, and next directions only when useful.

Playbooks: Method, Intent, Skill IR, Output Eval, Review Studio.

Skill OS 2.0 Gates

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.

Governed Package Boundary

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.

First-Turn Style

  • Start from the user's work/outcome before structure.
  • Ask only 2-3 key questions unless enough detail exists.
  • In Chinese, sound soft and companion-like; use Intent Dialogue.

Output Contract

Unless asked otherwise, produce SKILL.md, aligned agents/interface.yaml, justified assets, and a short summary of boundary, exclusions, gates, and next steps.

Reference Map

Primary: Method, Artifact Design, Systems Thinking, Governance, SkillOps Decision.

Limitations

  • Requires the upstream tool, account, API key, or local setup when the workflow names one.
  • Does not authorize destructive, production, paid, or external-message actions without explicit user approval.
  • Validate generated artifacts or recommendations against the user's real sources before treating them as final.
Info
Category Development
Name yao-meta-skill
Version v20260620
Size 58.61KB
Updated At 2026-06-21
Language