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writing-skills

Use when creating new skills, editing existing skills, or verifying skills work before deployment - applies TDD to process documentation by testing with subagents before writing, iterating until bulletproof against rationalization

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Ler descrição completa

Writing Skills

Overview

Writing skills IS Test-Driven Development applied to process documentation.

Personal skills are written to ~/.claude/skills

You write test cases (pressure scenarios with subagents), watch them fail (baseline behavior), write the skill (documentation), watch tests pass (agents comply), and refactor (close loopholes).

Core principle: If you didn't watch an agent fail without the skill, you don't know if the skill teaches the right thing.

REQUIRED BACKGROUND: You MUST understand test-driven-development before using this skill. That skill defines the fundamental RED-GREEN-REFACTOR cycle. This skill adapts TDD to documentation.

Official guidance: For Anthropic's official skill authoring best practices, see anthropic-best-practices.md. This document provides additional patterns and guidelines that complement the TDD-focused approach in this skill.

What is a Skill?

A skill is a reference guide for proven techniques, patterns, or tools. Skills help future Claude instances find and apply effective approaches.

Skills are: Reusable techniques, patterns, tools, reference guides

Skills are NOT: Narratives about how you solved a problem once

TDD Mapping for Skills

| TDD Concept | Skill Creation | |-------------|----------------| | Test case | Pressure scenario with subagent | | Production code | Skill document (SKILL.md) | | Test fails (RED) | Agent violates rule without skill (baseline) | | Test passes (GREEN) | Agent complies with skill present | | Refactor | Close loopholes while maintaining compliance | | Write test first | Run baseline scenario BEFORE writing skill | | Watch it fail | Document exact rationalizations agent uses | | Minimal code | Write skill addressing those specific violations | | Watch it pass | Verify agent now complies | | Refactor cycle | Find new rationalizations → plug → re-verify |

The entire skill creation process follows RED-GREEN-REFACTOR.

When to Create a Skill

Create when:

  • Technique wasn't intuitively obvious to you
  • You'd reference this again across projects
  • Pattern applies broadly (not project-specific)
  • Others would benefit

Don't create for:

  • One-off solutions
  • Standard practices well-documented elsewhere
  • Project-specific conventions (put in CLAUDE.md)

Skill Types

Technique

Concrete method with steps to follow (condition-based-waiting, root-cause-tracing)

Pattern

Way of thinking about problems (flatten-with-flags, test-invariants)

Reference

API docs, syntax guides, tool documentation (office docs)

Directory Structure

skills/
  skill-name/
    SKILL.md              # Main reference (required)
    supporting-file.*     # Only if needed

Flat namespace - all skills in one searchable namespace

Separate files for:

  1. Heavy reference (100+ lines) - API docs, comprehensive syntax
  2. Reusable tools - Scripts, utilities, templates

Keep inline:

  • Principles and concepts
  • Code patterns (< 50 lines)
  • Everything else

SKILL.md Structure

Frontmatter (YAML):

  • Only two fields supported: name and description
  • Max 1024 characters total
  • name: Use letters, numbers, and hyphens only (no parentheses, special chars)
  • description: Third-person, includes BOTH what it does AND when to use it
  • Start with "Use when..." to focus on triggering conditions
  • Include specific symptoms, situations, and contexts
  • Keep under 500 characters if possible
---
name: Skill-Name-With-Hyphens
description: Use when [specific triggering conditions and symptoms] - [what the skill does and how it helps, written in third person]
---

# Skill Name

## Overview
What is this? Core principle in 1-2 sentences.

## When to Use
[Small inline flowchart IF decision non-obvious]

Bullet list with SYMPTOMS and use cases
When NOT to use

## Core Pattern (for techniques/patterns)
Before/after code comparison

## Quick Reference
Table or bullets for scanning common operations

## Implementation
Inline code for simple patterns
Link to file for heavy reference or reusable tools

## Common Mistakes
What goes wrong + fixes

## Real-World Impact (optional)
Concrete results

Claude Search Optimization (CSO)

Critical for discovery: Future Claude needs to FIND your skill

1. Rich Description Field

Purpose: Claude reads description to decide which skills to load for a given task. Make it answer: "Should I read this skill right now?"

Format: Start with "Use when..." to focus on triggering conditions, then explain what it does

Content:

  • Use concrete triggers, symptoms, and situations that signal this skill applies
  • Describe the problem (race conditions, inconsistent behavior) not language-specific symptoms (setTimeout, sleep)
  • Keep triggers technology-agnostic unless the skill itself is technology-specific
  • If skill is technology-specific, make that explicit in the trigger
  • Write in third person (injected into system prompt)
# ❌ BAD: Too abstract, vague, doesn't include when to use
description: For async testing

# ❌ BAD: First person
description: I can help you with async tests when they're flaky

# ❌ BAD: Mentions technology but skill isn't specific to it
description: Use when tests use setTimeout/sleep and are flaky

# ✅ GOOD: Starts with "Use when", describes problem, then what it does
description: Use when tests have race conditions, timing dependencies, or pass/fail inconsistently - replaces arbitrary timeouts with condition polling for reliable async tests

# ✅ GOOD: Technology-specific skill with explicit trigger
description: Use when using React Router and handling authentication redirects - provides patterns for protected routes and auth state management

2. Keyword Coverage

Use words Claude would search for:

  • Error messages: "Hook timed out", "ENOTEMPTY", "race condition"
  • Symptoms: "flaky", "hanging", "zombie", "pollution"
  • Synonyms: "timeout/hang/freeze", "cleanup/teardown/afterEach"
  • Tools: Actual commands, library names, file types

3. Descriptive Naming

Use active voice, verb-first:

  • ✅ creating-skills not skill-creation
  • ✅ testing-skills-with-subagents not subagent-skill-testing

4. Token Efficiency (Critical)

Problem: getting-started and frequently-referenced skills load into EVERY conversation. Every token counts.

Target word counts:

  • getting-started workflows: <150 words each
  • Frequently-loaded skills: <200 words total
  • Other skills: <500 words (still be concise)

Techniques:

Move details to tool help:

# ❌ BAD: Document all flags in SKILL.md
search-conversations supports --text, --both, --after DATE, --before DATE, --limit N

# ✅ GOOD: Reference --help
search-conversations supports multiple modes and filters. Run --help for details.

Use cross-references:

# ❌ BAD: Repeat workflow details
When searching, dispatch subagent with template...
[20 lines of repeated instructions]

# ✅ GOOD: Reference other skill
Always use subagents (50-100x context savings). REQUIRED: Use [other-skill-name] for workflow.

Compress examples:

# ❌ BAD: Verbose example (42 words)
your human partner: "How did we handle authentication errors in React Router before?"
You: I'll search past conversations for React Router authentication patterns.
[Dispatch subagent with search query: "React Router authentication error handling 401"]

# ✅ GOOD: Minimal example (20 words)
Partner: "How did we handle auth errors in React Router?"
You: Searching...
[Dispatch subagent → synthesis]

Eliminate redundancy:

  • Don't repeat what's in cross-referenced skills
  • Don't explain what's obvious from command
  • Don't include multiple examples of same pattern

Verification:

wc -w skills/path/SKILL.md
# getting-started workflows: aim for <150 each
# Other frequently-loaded: aim for <200 total

**Name by what you DO

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