Agent skill

claude-skill-builder

Guides creation and improvement of Claude Code skills using Anthropic's official methodology. Use when user wants to "create a skill", "build a skill", "make a new skill", "write a new skill", "improve an existing skill", "audit my skill", "refine my skill", "test a skill", "package a skill for distribution", or needs guidance on skill structure, progressive disclosure, description quality, testing, or distribution.

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Install this agent skill to your Project

npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/other/claude-skill-builder

SKILL.md

Claude Skill Builder

Build Claude Code skills following Anthropic's official methodology — from planning through distribution.

PRIMARY SOURCE: "The Complete Guide to Building Skills for Claude" (Anthropic, January 2026)


Quick Start

To create a skill from scratch, follow the 4-phase process below. To improve an existing skill, read references/refining-skills.md. To validate a skill's structure, run scripts/audit-skill.sh.

Invoke with: /claude-skill-builder or ask about creating, improving, or auditing a skill.


How It Works

Four-phase methodology from the Anthropic guide:

Phase Activity Time
1: Planning & Design Define use cases, category, success criteria 15-30 min
2: Implementation Create folder, write SKILL.md, add resources 30-60 min
3: Testing Triggering, functional, performance tests 20-40 min
4: Distribution Package, document, publish to GitHub 10-20 min

Total: ~75-150 minutes for a complete, tested skill

Phase 1 covers Steps 1–2 below; Phases 2–4 correspond to Steps 3–5.


Skill Creation Workflow

Step 1: Discover Requirements

Research the domain first — before writing instructions, verify current best practices for the skill's subject. Use WebSearch and WebFetch to check official docs, community standards, and authoritative examples. Outdated or incorrect guidance in a skill is worse than no guidance: Claude will follow it confidently.

Retain all sources: every URL consulted must be recorded in the skill with its full link and a note of what it confirmed. Without sources, guidance cannot be verified or updated when the domain changes.

For research strategies, source quality standards, and the required Sources section format: references/research.md

  1. Identify the problem and target users
  2. Define 2-3 concrete use cases
  3. Set measurable success criteria (time saved, errors reduced, quality improved)
  4. Choose a skill category:
Category INPUT → OUTPUT Examples
1: Document & Asset Creation Data/specs → document, code, report API test generator, meeting notes summarizer
2: Workflow Automation Task params → completed multi-step process Deploy pipeline, code review workflow
3: MCP Enhancement MCP tool outputs → smarter orchestration Smart file search, BigQuery assistant

For in-depth category guidance: references/categories.md For interactive discovery questions: references/discovery.md

Step 2: Design Structure

Design using progressive disclosure — 3 loading levels:

Level When loaded Target length Content
1: Metadata Always (~100 words) name + description Trigger conditions
2: SKILL.md body When skill triggers under 5,000 words (ideally under 2,000) Core workflow + pointers
3: references/ files As needed Unlimited Deep detail, schemas, examples

For progressive disclosure writing tips and success metrics: references/best-practices.md

Step 3: Implement

Critical Rules:

  • ✅ File MUST be named SKILL.md (not README.md)
  • ✅ Folder name MUST be kebab-case — no spaces, no capitals (my-skill not My Skill)
  • ✅ YAML frontmatter MUST include name, description, and version fields
  • ✅ Description MUST include specific trigger phrases — what users SAY to activate the skill
  • ✅ Description must be under 1024 characters (hard limit — longer descriptions are truncated)
  • ✅ No XML angle brackets (< or >) in any frontmatter field
  • ❌ NO README.md inside the skill folder — all docs go in SKILL.md or references/ (Exception: a README.md at the GitHub repo ROOT, outside the skill folder, is fine for GitHub.)
  • ❌ NO spaces or underscores in folder names (my_skillmy-skill)

Frontmatter: required fields:

yaml
---
name: your-skill-name          # kebab-case only; no spaces, capitals, or underscores
description: What it does. Use when user asks to "specific phrase", "another phrase".
             # MUST include: what it does + when to use it (trigger conditions)
             # Under 1024 characters. No XML angle brackets.
             # Do NOT start with "claude" or "anthropic" (reserved namespaces).
version: 0.1.0                 # Required; use semantic versioning
---

Frontmatter: all optional fields:

yaml
---
name: your-skill-name
description: What it does and when. Use when user says "trigger phrase 1", "trigger phrase 2".
license: MIT                   # Optional: open-source license (MIT, Apache-2.0, etc.)
allowed-tools: "Bash(python:*) WebFetch"  # Optional: restrict which tools the skill can use
compatibility: Claude Code     # Optional: 1-500 chars; environment requirements
metadata:                      # Optional: custom key-value pairs
  author: Your Name
  version: 1.0.0               # Version inside metadata (Anthropic's spec); also accepted at top level
  mcp-server: your-server      # If skill requires a specific MCP server
  category: productivity
  tags: [automation, workflow]
  documentation: https://example.com/docs
---

Positioning language (outcome-focused: "generate tests 87% faster") belongs in README.md or GitHub landing page — NOT in the description field. See references/best-practices.md.

Folder structure (standalone skills at ~/.claude/skills/):

~/.claude/skills/your-skill-name/
├── SKILL.md                         # Required — loaded when skill triggers (<5k words)
├── references/                      # Docs Claude loads into context as needed
│   ├── detailed-guide.md            #   schemas, API docs, policies, detailed workflows
│   └── examples/                    #   working code users copy (subdirectory of references/)
│       └── working-example.sh
├── scripts/                         # Executables (run without loading into context)
│   └── validate.sh
└── assets/                          # Files used IN skill output (not loaded to context)
    └── template.html
Directory Load into context? Use for
references/ Yes, as needed Schemas, API docs, policies, workflow guides
references/examples/ As needed Working code users copy and adapt
scripts/ No (run directly) Validators, scaffolders, utilities
assets/ No (used in output) Images, fonts, HTML templates the skill pastes into output

Note: Plugin skills (in plugin-name/skills/) may place examples/ at the top level — that is plugin-dev convention. For standalone ~/.claude/skills/ skills, put examples inside references/.

To scaffold a new skill: bash scripts/scaffold-skill.sh my-skill-name To start from template: copy references/examples/SKILL-template.md

Step 4: Test

Three testing approaches (run in order):

  1. Triggering tests — verify Claude activates on expected phrases; does NOT activate on unrelated requests
  2. Functional tests — validate the skill's core workflow produces correct output for known inputs
  3. Performance tests — measure improvement over baseline (time saved, error reduction, consistency)

Debugging trigger issues:

Ask Claude: "When would you use the [skill name] skill?"

Claude will quote its description back at you. Adjust based on what's missing or too vague.

Fixing undertriggering: Add more specific trigger phrases and relevant technical terms.

Fixing overtriggering: Add negative triggers to the description:

yaml
description: Processes PDF legal documents for contract review. Use for "review this contract",
  "analyze legal document", "extract contract clauses". Do NOT use for general PDF viewing,
  image extraction, or non-legal documents (use doc-converter skill instead).

To validate skill structure, naming, and frontmatter:

bash
bash ~/.claude/skills/claude-skill-builder/scripts/audit-skill.sh ~/.claude/skills/YOUR-SKILL

For automated quality review, use the built-in skill-creator skill:

"Use the skill-creator skill to review this skill and suggest improvements"

Also available: the skill-reviewer agent from the plugin-dev plugin checks description quality.

For detailed test case templates and the Testing Triangle methodology: references/testing.md

Step 5: Distribute

Three distribution channels (choose one or all):

A. Claude.ai / Claude Code (individual install)

bash
# Clone into Claude Code skills directory:
cd ~/.claude/skills && git clone https://github.com/username/your-skill-name
# Or: download ZIP → upload in Claude.ai Settings > Capabilities > Skills

B. Organization-wide deployment (admins only, shipped Dec 2025) Admins can deploy skills workspace-wide via Claude.ai admin console — automatic updates, centralized management. Users get the skill without any install step.

C. Programmatic / API Add skills to Messages API requests via container.skills parameter. Use the /v1/skills endpoint to manage skills. Works with the Claude Agent SDK for building custom agents.

GitHub setup for public distribution:

  1. Create a public repo — the skill folder IS the repo (or is nested inside it)
  2. Add README.md at the repo root (OUTSIDE the skill folder) with installation instructions and outcome-focused positioning: "Generate tests 87% faster" (GitHub marketing, not SKILL.md)
  3. Share in Claude Discord or communities

For full distribution guidance, GitHub templates, and community strategies: references/distribution.md


Common Pitfalls

Pitfall ❌ Wrong ✅ Correct
File naming my_skill/README.md my-skill/SKILL.md
Description field Outcome-focused: "generates tests 87% faster" Trigger phrases: "create a skill", "improve my skill"
README positioning Trigger phrases in GitHub README Outcome-focused: "generate tests 87% faster"
No progressive disclosure Monolithic wall of text 3-level: hook (50-100w) → workflow (200-400w) → detail
No testing Write → publish immediately Triggering + functional + performance tests
Missing success criteria "Build a skill that helps with APIs" "Reduce API test writing time by 75%"
Feature-focused description "Uses OpenAPI parser and Jinja2 templates" Trigger phrases + concise capability summary

Refining Existing Skills

Signs a skill needs refinement:

  • File named README.md or folder has underscores/capitals (P0 — Claude cannot find it)
  • Missing YAML frontmatter (P0 — Claude cannot auto-activate it)
  • Description is outcome-focused instead of trigger-phrase format (P1)
  • SKILL.md is over 5,000 words (P0 — hard limit; Claude reports degraded quality above this)
  • SKILL.md is over 2,000 words with no references/ files (P1 — detail belongs in references/)
  • Wall of text with no progressive disclosure structure (P1)

For the complete 5-step refinement process (audit → prioritize → fix → validate → document), migration scenarios, before/after examples, and performance tracking: references/refining-skills.md


Additional Resources

Reference Files (loaded as needed by Claude)

  • references/research.md — Research strategies before writing skill instructions: how to find authoritative sources, evaluate quality, and translate knowledge into skill content
  • references/best-practices.md — Progressive disclosure writing tips, success metrics framework, Testing Triangle, common anti-patterns
  • references/refining-skills.md — Complete 5-step refinement process with migration scenarios, before/after examples, and continuous improvement framework
  • references/sources.md — Anthropic PDF guide URL, MCP docs, community links, full citations
  • references/categories.md — In-depth guide to all 3 skill categories with characteristics, examples, and best practices for each
  • references/discovery.md — Interactive 20-question guided Q&A for discovering skill requirements, design choices, and implementation plan
  • references/testing.md — Detailed test case templates for triggering, functional, and performance testing with concrete examples
  • references/distribution.md — GitHub setup guide, installation instructions template, positioning language, community sharing strategies
  • references/patterns.md — 5 advanced patterns (sequential orchestration, multi-MCP coordination, iterative refinement, context-aware selection, domain intelligence)
  • references/troubleshooting.md — Fix guide: skill doesn't trigger, triggers too often, instructions not followed, context overload
  • references/changelog.md — Version history and improvement notes
  • notes/2026_03_reliable_skill_usage_and_design.md — Community research on skill activation rates (250 sandboxed evals): keyword matching vs semantic, naming conventions, forced-eval hooks, description template patterns

Scripts (run directly — do not load into context)

  • scripts/audit-skill.sh — Skill structure smoke test with scored output (0-100%)
    bash
    bash ~/.claude/skills/claude-skill-builder/scripts/audit-skill.sh ~/.claude/skills/YOUR-SKILL
    
  • scripts/scaffold-skill.sh — Create a new skill directory with correct structure
    bash
    bash ~/.claude/skills/claude-skill-builder/scripts/scaffold-skill.sh my-skill-name
    

Version History

v1.1.0 - 2026-03-05

  • Added YAML frontmatter (enables Claude auto-detection)
  • Rewrote body to imperative form throughout
  • Integrated IMPROVEMENTS.md self-critique (moved to references/changelog.md)
  • Corrected description templates: trigger-phrase format for SKILL.md, outcome-focused for README
  • Trimmed SKILL.md from 932 → ~350 lines; moved detail to references/
  • Corrected directory taxonomy: references/examples/ for standalone skills (Anthropic's recommended structure)
  • Corrected README.md rule: enforce "no README inside skill folder" with distribution exception
  • Added description field constraints: 1024-char hard limit, no angle brackets, kebab-case names
  • Added Additional Resources section linking all references/ files and scripts/
  • Created references/patterns.md with 5 advanced patterns + troubleshooting from Anthropic's guide
  • Confirmed skill categories are from Anthropic's official guide — no "unofficial" label

v1.0.0 - Initial release based on Anthropic's Complete Guide

  • Complete 4-phase methodology
  • Progressive disclosure templates
  • Testing framework
  • Distribution strategies
  • Common pitfalls guide

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