yao-meta-skill
Helps create and improve AI agent skills. It allows packaging workflows and distributing them to teams.
What it does
This tool helps create, improve, and organize 'skills' (sets of instructions) for artificial intelligences. It transforms ideas or documents into skills ready for use by other AIs.
When to use it
- ✓When you want to turn a process you perform into an AI 'skill'.
- ✓When needing to improve an existing 'skill' based on new information.
- ✓To organize and share 'skills' with your team.
Example of what to ask your AI
“Turn this notes document into an AI skill, focused on summarizing texts.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The tool analyzes the material you provide (like notes or a process) and structures it into a format the AI understands. It helps define what the skill should do, how it should work, and how to test it.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add sickn33/agentic-awesome-skills --skill yao-meta-skillOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/yao-meta-skill/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
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.mdlean; put guidance inreferences/, logic inscripts/, and evidence inreports/. - 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
- For one-off/no reusable process:
Do not create a skill;near-neighbor; requirerepeated use+reusable output contract. - Capture job, output, exclusions, constraints, standards, and the lightest fit.
- Scan references in order: external benchmark, user source, local fit; surface only uncertainty or conflict.
- Write
descriptionearly, test route quality, then add only earned folders and gates. - 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
2-3key 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.
FAQ
What is an AI 'skill'?
It's a set of instructions that teaches an artificial intelligence to perform a specific task, like answering questions or creating content.
Can I use this for any type of task?
Yes, as long as you can describe the process or task. The tool helps turn that description into a skill.
Do I need to know how to code to use it?
No, the focus is on transforming ideas and processes into skills simply, without requiring advanced technical knowledge.
Details
Original description by the author
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.
Popularity
- GitHub stars
- 48k
- Ranking position
- #4610
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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