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yao-meta-skill/references/skill_design_guidelines.md
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2026-03-31 19:59:29 +08:00

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# Skill Design Guidelines
This document captures the operating rules for `yao-meta-skill`.
## 1. Treat Skill Creation As Product Design
A generated skill should answer these questions clearly:
- What exact recurring job does this package improve?
- Who is the intended user or agent?
- What is in scope and out of scope?
- What should be stable across runs?
- What is expected to evolve over time?
## 2. Separate Three Kinds Of Content
Put each kind of content in the right place:
- `SKILL.md`: core workflow, trigger surface, decision rules
- `references/`: detailed domain material, examples, schemas, policy docs
- `scripts/`: deterministic or brittle operations
If you mix all three into `SKILL.md`, quality and maintainability drop fast.
## 3. Use A Trigger Matrix
Every important skill should have a trigger matrix:
- positive prompts
- clear negatives
- near neighbors
The goal is not just "can it trigger", but "does it trigger at the right boundary".
## 4. Keep The Body Small On Purpose
Do not optimize only for completeness.
Optimize for:
- low context cost
- clear branch selection
- discoverable references
- safe defaults
## 5. Add Lifecycle Metadata Only When It Helps
For personal or disposable skills, extra metadata can be noise.
For shared skills, a `manifest.json` is useful for:
- owner
- version
- updated_at
- target platforms
- review cadence
## 6. Prefer Progressive Industrialization
Move through these stages:
1. Working draft
2. Trigger-hardened draft
3. Reusable team skill
4. Governed skill asset
Do not start every skill at stage 4.