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/writing-skills

@22f0b46 official
by Jesse Vincentobra/superpowers312k stars
27,751
Run it yourself

Use when creating new skills, editing existing skills, or verifying skills work before deployment

Use this Skill: https://skilld.dev/gh/obra/superpowers/writing-skills

Nothing lands on disk. Nothing to clean up.

Fork this Skill

Edit a local copy. It keeps the author and licence.

referencesdiscovery.md

≈1.9k tokens on demand. Your agent reads this file only when SKILL.md points to it.

Writing SKILL.md for Discovery

Part of superpowers:writing-skills: the SKILL.md template and how to name, describe and size a skill so agents find it and read it.

SKILL.md Structure

Frontmatter (YAML):

  • Two required fields: name and description (see agentskills.io/specification for all supported fields)
  • Max 1024 characters total
  • name: Use letters, numbers, and hyphens only (no parentheses, special chars)
  • description: Third-person, describes ONLY when to use (NOT what it does)
    • Start with "Use when..." to focus on triggering conditions
    • Include specific symptoms, situations, and contexts
    • NEVER summarize the skill's process or workflow (see Skill Discovery Optimization below for why)
    • Keep under 500 characters if possible
---
name: Skill-Name-With-Hyphens
description: Use when [specific triggering conditions and symptoms]
---

# 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

Skill Discovery Optimization (SDO)

Critical for discovery: Future agents need to FIND your skill

1. Rich Description Field

Purpose: Your agent reads the 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

CRITICAL: Description = When to Use, NOT What the Skill Does

The description should ONLY describe triggering conditions. Do NOT summarize the skill's process or workflow in the description.

Why this matters: Testing revealed that when a description summarizes the skill's workflow, an agent may follow the description instead of reading the full skill content. A description saying "code review between tasks" caused an agent to do ONE review, even though the skill's flowchart clearly showed TWO reviews (spec compliance then code quality).

When the description was changed to just "Use when executing implementation plans with independent tasks" (no workflow summary), the agent correctly read the flowchart and followed the two-stage review process.

The trap: Descriptions that summarize workflow create a shortcut agents will take. The skill body becomes documentation agents skip.

# ❌ BAD: Summarizes workflow - agents may follow this instead of reading skill
description: Use when executing plans - dispatches subagent per task with code review between tasks

# ❌ BAD: Too much process detail
description: Use for TDD - write test first, watch it fail, write minimal code, refactor

# ✅ GOOD: Just triggering conditions, no workflow summary
description: Use when executing implementation plans with independent tasks in the current session

# ✅ GOOD: Triggering conditions only
description: Use when implementing any feature or bugfix, before writing implementation code

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)
  • NEVER summarize the skill's process or workflow
# ❌ 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, no workflow
description: Use when tests have race conditions, timing dependencies, or pass/fail inconsistently

# ✅ GOOD: Technology-specific skill with explicit trigger
description: Use when using React Router and handling authentication redirects

2. Keyword Coverage

Use words an agent 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
  • ✅ condition-based-waiting not async-test-helpers

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 or core insight:

  • ✅ condition-based-waiting > async-test-helpers
  • ✅ using-skills not skill-usage
  • ✅ flatten-with-flags > data-structure-refactoring
  • ✅ root-cause-tracing > debugging-techniques

Gerunds (-ing) work well for processes:

  • creating-skills, testing-skills, debugging-with-logs
  • Active, describes the action you're taking

5. Cross-Referencing Other Skills

When writing documentation that references other skills:

Use skill name only, with explicit requirement markers:

  • ✅ Good: **REQUIRED SUB-SKILL:** Use superpowers:test-driven-development
  • ✅ Good: **REQUIRED BACKGROUND:** You MUST understand superpowers:systematic-debugging
  • ❌ Bad: See skills/testing/test-driven-development (unclear if required)
  • ❌ Bad: @skills/testing/test-driven-development/SKILL.md (force-loads, burns context)

Why no @ links: @ syntax force-loads files immediately, consuming 200k+ context before you need them.

Source: SKILL.md on GitHub

skilld matched fixed text patterns in SKILL.md and file names. Patterns miss obfuscated code.

skilld run checks every file with the same patterns. It asks for approval before it loads a Skill with a behavior marked Needs approval.

1 warning17d5 checks · Risk MEDIUM
  • Gen Agent Trust Hub17d

    This skill provides a comprehensive framework for creating and testing AI agent skills using a Test-Driven Development (TDD) approach. It includes utilities for rendering Graphviz diagrams and methodologies for ensuring agent compliance through the use of psychological persuasion principles. Security considerations include the dynamic execution of external commands and the use of instructional patterns designed to override agent reasoning processes.

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    Risk: LOW · No issues

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    1/7 files flagged

  • ZeroLeaks6mo

    Score: 93/100 · 2 sections analyzed

Signed by skilld at 22f0b46. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 5 days ago.

Activeupdated 3 weeks ago
  • Documentation
  • skills
  • tdd
  • test-driven-development
  • writing
  • agents
  • claude
  • patterns
  • reference
  • methodology

README badge

README badge for obra/superpowers/writing-skills

Guides skill authors through test-driven development applied to documentation: write baseline tests showing agents fail without the skill, write the skill to make tests pass, then refactor to close loopholes. Covers skill structure, discovery optimization, and token efficiency for frequently-loaded skills.

Generated from the current SKILL.md.

What's the difference between this skill and standard documentation best practices?
This skill applies test-driven development to skill authoring—you write pressure test scenarios with subagents first, watch agents fail without the skill (baseline), then write the skill to make tests pass. It's documentation built on proven compliance, not best guesses.
Do I need to read superpowers:test-driven-development before using this skill?
Yes. This skill adapts the RED-GREEN-REFACTOR cycle to documentation, so you must understand the TDD fundamentals first.
Should I create a skill for every technique or pattern I discover?
No. Create skills only when a technique wasn't intuitively obvious to you, you'd reference it across projects, and others would benefit. Don't create skills for one-off solutions, standard practices already well-documented, or project-specific conventions (use CLAUDE.md instead).
Why does the description field matter so much?
The description tells Claude whether to load the skill for a task. If you summarize the skill's workflow in the description, Claude may follow that short summary instead of reading the full skill content. Keep descriptions focused only on triggering conditions.
How long should a skill be?
Getting-started workflows should be under 150 words; frequently-loaded skills under 200 words total; other skills under 500 words. Use cross-references and tool help flags to avoid repeating details that load into every conversation.

Generated from the current SKILL.md. These answers refresh after source changes.