writing-skills

Writing Skills (Excellence)

Dispatcher for skill creation excellence. Use the decision tree below to find the right template and standards.

⚡ Quick Decision Tree

What do you need to do?

1. Create a NEW skill:

   • Is it simple (single file, <200 lines)? → Tier 1 Architecture
   • Is it complex (multi-concept, 200-1000 lines)? → Tier 2 Architecture
   • Is it a massive platform (10+ products, AWS, Convex)? → Tier 3 Architecture

2. Improve an EXISTING skill:

   • Fix "it's too long" -> Modularize (Tier 3)
   • Fix "AI ignores rules" -> Anti-Rationalization
   • Fix "users can't find it" -> CSO (Search Optimization)

3. Verify Compliance:

   • Check metadata/naming -> Standards
   • Add tests -> Testing Guide

📚 Component Index

🛠️ Templates

• Technique Skill (How-to)
• Reference Skill (Docs)
• Discipline Skill (Rules)
• Pattern Skill (Design Patterns)

When to Use

• Creating a NEW skill from scratch
• Improving an EXISTING skill that agents ignore
• Debugging why a skill isn't being triggered
• Standardizing skills across a team

How It Works

1. Identify goal → Use decision tree above
2. Select template → From references/templates/
3. Apply CSO → Optimize description for discovery
4. Add anti-rationalization → For discipline skills
5. Test → RED-GREEN-REFACTOR cycle

Quick Example

---
name: my-technique
description: Use when [specific symptom occurs].
metadata:
  category: technique
  triggers

Common Mistakes

See gotchas.md for more.

✅ Pre-Deploy Checklist

Before deploying any skill:

• name field matches directory name exactly
• SKILL.md filename is ALL CAPS
• Description starts with "Use when..."
• metadata.triggers has 3+ keywords
• Total lines < 500 (use references/ for more)
• No @ force-loading in cross-references
• Tested with real scenarios

🔗 Related Skills

• opencode-expert: For OpenCode environment configuration
• Use /write-skill command for guided skill creation

Examples

Create a Tier 1 skill:

Create a Tier 2 skill:

Limitations

• Use this skill only when the task clearly matches the scope described above.
• Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
• Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.