Skill Master

Create, edit, and validate Agent Skills following the open agentskills.io specification. This skill is the entry point for creating and maintaining Agent Skills.

Language requirement: all skills MUST be authored in English.

Links

• Agent Skills Specification
• What are Skills?
• Integrate Skills
• The Complete Guide to Building Skills for Claude (Anthropic)

Quick Navigation

• New to skills? Read: references/specification.md
• SKILL.md templates? See: assets/skill-templates.md
• Writing effective descriptions & instructions? Read: references/writing-skills.md
• Structuring multi-step processes? Read: references/workflows.md
• Adding scripts to a skill? Read: references/scripts.md
• Adding assets/templates to a skill? Read: references/assets.md
• Advanced features (context, agents, hooks)? Read: references/advanced-features.md
• Creating from docs? Read: references/docs-ingestion.md
• Testing, evals, benchmarking, or iterative improvement? Read: references/testing-troubleshooting.md, references/eval-testing.md, references/iterative-improvement.md
• Description optimization? Read: references/description-optimization.md
• JSON schemas (evals, grading, benchmark)? Read: references/schemas.md
• Eval set review UI and output viewer? See: assets/eval_review.html, eval-viewer/
• Validation & packaging? See scripts/

When to Use

• Creating a new skill from scratch
• Updating an existing skill
• Creating a skill by ingesting external documentation
• Validating or packaging a skill for distribution
• Running the full skill-creator-style loop: interview, draft, eval, benchmark, viewer review, and iteration

skill-master subsumes skill-creator; for the detailed operator playbook, workspace layout, timing capture, benchmark analysis, and viewer handoff, read references/iterative-improvement.md.

Skill Structure (Required)

my-skill/
├── SKILL.md          # Required: instructions + metadata (must be human-readable too)
├── metadata.json     # Optional: extended metadata for publishing
├── references/       # Optional: documentation, guides, API references
├── examples/         # Optional: sample outputs, usage examples
├── scripts/          # Optional: executable code
└── assets/           # Optional: templates, images, data files

Do NOT include README.md in skill folders. SKILL.md is the single source of truth. If migrating a skill with README.md, merge its content into SKILL.md and delete it.

Folder Purposes (CRITICAL)

When to Use Each

• references/ — documentation the agent reads and understands
• examples/ — sample outputs showing expected format
• assets/ — templates, configs, schemas to copy verbatim
• scripts/ — executable code the agent runs

IMPORTANT: Templates belong in assets/, examples in examples/, documentation in references/.

Frontmatter Schema

Every SKILL.md MUST start with YAML frontmatter:

---
name: skill-name
description: "What it does. Keywords: term1, term2."
metadata:
  author: your-name
  version: "1.2.3"
  release_date: "2026-01-01"
---

Field order: name → description → license → compatibility → metadata

Required Fields

Optional Fields (Top Level)

metadata Object (Common Fields)

Optional Fields (Claude Code / Advanced)

Invocation Control Matrix

Variable Substitutions

Available placeholders in skill content:

If $ARGUMENTS is not in content, arguments are appended as ARGUMENTS: <value>.

Example:

---
name: fix-issue
description: Fix a GitHub issue
disable-model-invocation: true
---
Fix GitHub issue $ARGUMENTS following our coding standards.

Dynamic Context Injection

Use !command`` syntax to run shell commands before skill content is sent to the agent:

## Pull request context

- PR diff: !`gh pr diff`
- Changed files: !`gh pr diff --name-only`

## Your task

Review this pull request...

The command output replaces the placeholder, so the agent receives actual data.

metadata.json (Optional)

For publishing or extended metadata, create metadata.json:

{
  "version": "1.0.0",
  "organization": "Your Org",
  "date": "January 2026",
  "abstract": "Brief description of what this skill provides...",
  "references": ["https://docs.example.com", "https://github.com/org/repo"]
}

Fields:

• version — Skill version (semver)
• organization — Author or organization
• date — Publication date
• abstract — Extended description (can be longer than frontmatter)
• references — List of source documentation URLs

Name Validation Examples

# Valid
name: pdf-processing
name: data-analysis
name: code-review

# Invalid
name: PDF-Processing  # uppercase not allowed
name: -pdf            # cannot start with hyphen
name: pdf--processing # consecutive hyphens not allowed

Description Rules

Purpose: Tell the LLM what the skill does and when to activate it. Minimize tokens — just enough for activation decision.

Formulas:

For library/reference skills (Claude Code, keyword-based discovery):

[Product] [core function]. Covers [2-3 key topics]. Keywords: [terms].

For workflow/automation skills (Claude.ai, trigger-based activation):

[What it does]. Use when user [specific trigger phrases].

Critical for auto-triggering: include explicit "Use when user says / asks / mentions..." phrases. Without them, Claude may not load the skill automatically. See references/writing-skills.md for good/bad examples and debugging tips.

Constraints:

• Target: 80-150 chars
• Max: 1024 chars (300 if keeping it minimal)
• No marketing ("powerful", "comprehensive", "modern")
• No filler ("this skill", "use this for", "helps with")
• No XML angle brackets < >
• Names with "claude" or "anthropic" are reserved

Good examples:

description: "Turso SQLite database. Covers encryption, sync, agent patterns. Keywords: Turso, libSQL, SQLite."

description: "Base UI unstyled React components. Covers forms, menus, overlays. Keywords: @base-ui/react, render props."

description: "Inworld TTS API. Covers voice cloning, audio markups, timestamps. Keywords: Inworld, TTS, visemes."

Poor examples:

# Too vague
description: "Helps with PDFs."

# Too verbose
description: "Turso embedded SQLite database for modern apps and AI agents. Covers encryption, authorization, sync, partial sync, and agent database patterns."

# Marketing
description: "A powerful solution for all your database needs."

Keywords: product name, package name, 3-5 terms max.

How Skills Work (Progressive Disclosure)

1. Discovery: Agent loads only name + description of each skill (~50-100 tokens)
2. Activation: When task matches, agent reads full SKILL.md into context
3. Execution: Agent follows instructions, loads referenced files as needed

Key rule: Keep SKILL.md under 500 lines. Move details to references/.

Creating a New Skill

Pro Tip: You can use the skill-creator skill (available in Claude.ai or Claude Code) to interactively generate your first draft, then refine it using the steps below.

Step 1: Scaffold

python scripts/init_skill.py <skill-name>
# Or specify custom directory:
python scripts/init_skill.py <skill-name> --skills-dir skills

Or manually create:

<skills-folder>/<skill-name>/
├── SKILL.md
├── references/   # For documentation, guides
└── assets/       # For templates, static files

Step 2: Write Frontmatter

---
name: <skill-name>
description: "[Purpose] + [Triggers/Keywords]"
---

Step 3: Write Body

Recommended sections:

• When to use (triggers, situations)
• Quick navigation (router to references and assets)
• Steps / Recipes / Checklists
• Critical prohibitions
• Links

Step 4: Add References (documentation)

For each major topic, create references/<topic>.md with:

• Actionable takeaways (5-15 bullets)
• Gotchas / prohibitions
• Practical examples

Step 5: Add Scripts (if applicable)

Consult references/scripts.md for when scripts are worth writing and how to structure them.

Language selection:

• Python — default for CLI wrappers, validators, scaffolding
• Go — when the skill's ecosystem is Kubernetes/cloud-native (see k8s-cluster-api)
• JS/TS — when the skill's ecosystem is Node/npm

Minimal checklist for a script:

• argparse (Python) or flag (Go) for all parameters — no hardcoded values
• Check tool availability before use (shutil.which() in Python)
• Docstring at top with Usage + Examples
• All exceptions caught; exit non-zero with a message to stderr

Step 6: Add Assets (if needed)

Consult references/assets.md for when assets are worth creating and how to format them.

For templates or static resources, create assets/<resource>. Common types:

• Config templates — .minimal.yaml / .full.yaml pair; add # yaml-language-server: $schema= header
• YAML manifests — use ${VAR_NAME:=default} for variables; include purpose + usage comment at top
• Text templates — use #-prefixed comments to explain fields and valid values
• Markdown checklists / runbooks — - [ ] checkboxes, inline commands, sign-off section
• Prompt / prose templates — grouped by use case, each block self-contained

Naming: <tool>.minimal.yaml, <purpose>-checklist.md, <name>.template, <topic>-prompts.md.

Step 7: Validate

python scripts/quick_validate_skill.py <skill-path>
# Compatibility alias:
python scripts/quick_validate.py <skill-path>

Creating a Skill from Documentation

When building a skill from external docs, use the autonomous ingestion workflow:

Phase 1: Scaffold

1. Create skill folder with SKILL.md skeleton
2. Create plan.md for progress tracking
3. Create references/ directory

Phase 2: Build Queue

For each doc link:

• Fetch the page
• Extract internal doc links (avoid nav duplicates)
• Prioritize: concepts → API → operations → troubleshooting

Phase 3: Ingest Loop

For each page:

1. Fetch one page
2. Create references/<topic>.md with actionable summary
3. Update plan.md checkbox
4. Update SKILL.md if it adds a useful recipe/rule

Do not ask user after each page — continue autonomously.

Phase 4: Finalize

• Review SKILL.md for completeness
• Ensure practical recipes, not docs mirror
• plan.md may be deleted manually after ingestion

Critical Prohibitions

• Do NOT copy large verbatim chunks from vendor docs (summarize in own words)
• Do NOT write skills in languages other than English
• Do NOT include project-specific secrets, paths, or assumptions
• Do NOT keep SKILL.md over 500 lines
• Do NOT skip name validation (must match folder name)
• Do NOT use poor descriptions that lack trigger keywords
• Do NOT omit product version when creating skills from documentation

Version Tracking

What version Means

In this repository, store version metadata as metadata.version and metadata.release_date to match the existing skills and current Copilot skill-file validation. metadata.version holds the upstream product version the skill was built against (e.g., "1.12.3" for CAPI v1.12.3). For standalone skills not tied to an external product, it holds the skill's own version (e.g., "1.2.4" for skill-master). Use "—" when the product uses continuous deployment with no semantic versioning (e.g., hosted services like Cloudflare Workers).

When to Update

When bumping metadata.version or making significant content changes, also update:

• SKILLS_VERSIONS.md — set new version + date, move row to top of table
• CHANGELOG.md — prepend a new dated block at the top

Links format:

## Links

- [Documentation](https://example.com/docs)
- [Changelog](https://example.com/changelog)
- [GitHub](https://github.com/org/repo)
- [npm](https://www.npmjs.com/package/name)

Order: Documentation → Changelog/Releases → GitHub → Package registry. Include only applicable links.

Validation Checklist

Pro Tip: You can use the skill-creator skill (available in Claude.ai or Claude Code) to review your skill and suggest improvements before finalizing.

• name matches folder name, kebab-case, 1-64 chars, no --
• description includes WHAT it does AND WHEN to use it (trigger phrases)
• description has no XML angle brackets < >
• SKILL.md under 500 lines
• Documentation in references/, templates in assets/
• Complex multi-step processes extracted to references/workflows.md
• All text in English
• Skill triggers on obvious test queries
• Skill does NOT trigger on unrelated queries

Full pre-publish checklist: references/testing-troubleshooting.md

Scripts

Agents: agents/grader.md (grade expectations), agents/comparator.md (blind A/B comparison), agents/analyzer.md (post-hoc analysis + benchmark)

Links

• Specification: references/specification.md
• Writing Skills (descriptions, instructions, patterns): references/writing-skills.md
• Workflow Patterns: references/workflows.md
• Scripts in Skills: references/scripts.md
• Assets in Skills: references/assets.md
• Testing & Troubleshooting: references/testing-troubleshooting.md
• Advanced Features: references/advanced-features.md
• SKILL.md Templates: assets/skill-templates.md
• Docs Ingestion: references/docs-ingestion.md
• Eval Testing & Benchmarking: references/eval-testing.md
• Iterative Improvement Loop: references/iterative-improvement.md
• Description Optimization: references/description-optimization.md
• JSON Schemas: references/schemas.md
• Eval Set Review: assets/eval_review.html
• Eval Output Viewer: eval-viewer/
• Official spec: https://agentskills.io/specification
• Claude Code skills: https://code.claude.com/docs/en/skills