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干货教程：怎么写一个好用的 Skill

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Merged summary

TL;DR - A practical tutorial on authoring Agent Skills — the SKILL.md-based, portable capability packages used by Claude Code, Cursor, OpenCode and similar agent tools — covering file layout, metadata format, context-budget design, and installation workflows.

  • Structure: A Skill is a folder with a required SKILL.md (YAML frontmatter for routing + Markdown body for execution) plus optional scripts/, references/, and assets/. Required fields are name (kebab-case) and description; optional version, author, tags.
  • Progressive disclosure: Three loading tiers to conserve context — metadata only at startup (~100 tokens/skill), full SKILL.md on match (~1k–5k tokens), and scripts/reference docs loaded on demand during execution.
  • Tooling: Each agent tool has its own skills directory (~/.claude/skills/, ~/.cursor/skills/, ~/.opencode/skills/, ~/.joycode/skills/); openskills (npm) installs and syncs skill packs across tools and generates an AGENTS.md for discovery. OpenClaw uses npx clawhub install <skill> plus per-agent YAML enablement.
  • Authoring rules: Single responsibility per skill, descriptions that state WHAT + WHEN, omit knowledge the model already has, push edge cases into references/, use specific names, and build in self-correction/verification steps in the workflow.

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干货教程：怎么写一个好用的 Skill

WeChat: 极市平台 2026-08-07
Public signals N/A
Providers: Hugging Face · N/A OpenAlex · N/A Publisher · N/A Semantic Scholar · N/A X · N/A Fetched 2026-09-09 14:18:01.727143 UTC

TL;DR - A practical tutorial on authoring Agent Skills — the SKILL.md-based, portable capability packages used by Claude Code, Cursor, OpenCode and similar agent tools — covering file layout, metadata format, context-budget design, and installation workflows.

  • Structure: A Skill is a folder with a required SKILL.md (YAML frontmatter for routing + Markdown body for execution) plus optional scripts/, references/, and assets/. Required fields are name (kebab-case) and description; optional version, author, tags.
  • Progressive disclosure: Three loading tiers to conserve context — metadata only at startup (~100 tokens/skill), full SKILL.md on match (~1k–5k tokens), and scripts/reference docs loaded on demand during execution.
  • Tooling: Each agent tool has its own skills directory (~/.claude/skills/, ~/.cursor/skills/, ~/.opencode/skills/, ~/.joycode/skills/); openskills (npm) installs and syncs skill packs across tools and generates an AGENTS.md for discovery. OpenClaw uses npx clawhub install <skill> plus per-agent YAML enablement.
  • Authoring rules: Single responsibility per skill, descriptions that state WHAT + WHEN, omit knowledge the model already has, push edge cases into references/, use specific names, and build in self-correction/verification steps in the workflow.
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