Writing Skills

Apply test-driven development cycles to verify process documentation with subagents.

Updated Nov 8, 2025
One-click install
npx skills add https://github.com/nice-and-precise/m-art-portfolio --skill writing-skills-nice-and-precise
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Writing Skills
Source: https://github.com/nice-and-precise/m-art-portfolio/tree/main/.claude/skills/creating-skills
Command: npx skills add https://github.com/nice-and-precise/m-art-portfolio --skill writing-skills-nice-and-precise

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates the common pitfalls of creating unclear, untested, or easily circumvented AI documentation (skills). It ensures that your AI skills are robust, effective, and truly guide AI agents, preventing wasted time and inconsistent results from poorly defined instructions.

Core Features & Use Cases

  • TDD for Documentation: Applies the Test-Driven Development (TDD) RED-GREEN-REFACTOR cycle to skill creation, guaranteeing that your documentation is tested, effective, and reliable.
  • Bulletproof Skills: Teaches you how to anticipate and counter AI rationalizations and loopholes, making your skills resilient to misinterpretation and ensuring consistent agent compliance.
  • Optimized for Discovery: Provides critical guidance on using rich when_to_use fields and strategic keyword placement for optimal Claude Search Optimization (CSO), ensuring your skills are easily found and applied.
  • Use Case: When you've developed a new, complex debugging technique, use this skill to document it. You'll first test an AI agent without the documentation, observe its failures and rationalizations, then write the skill to specifically address these issues, and finally re-test until the agent consistently applies the technique correctly, saving countless hours in future debugging efforts.

Quick Start

To create a new skill, first, define a pressure scenario where an AI agent would fail without your new skill. Run this scenario and meticulously document the agent's exact behavior and rationalizations. Then, write your skill's SKILL.md to specifically address these identified failures. Finally, re-test the agent with the skill until it consistently complies with your instructions.

Frequently Asked Questions about Writing Skills

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I apply test-driven development to write better AI skill documentation?

Test-driven development for skills means writing tests first by defining failure scenarios, observing how an AI agent fails without your documentation, then writing the skill to address those specific failures. This RED-GREEN-REFACTOR cycle ensures your documentation is tested, effective, and prevents agent misinterpretation.

What's the best way to prevent AI agents from circumventing or misinterpreting my instructions?

Anticipate agent rationalizations by running pressure scenarios without documentation, documenting exact failures and loopholes, then writing skills that explicitly counter those workarounds. Testing iteratively until consistent compliance ensures your instructions are bulletproof against common evasions.

How do I optimize my skill documentation for discoverability in search?

Use rich `when_to_use` fields and strategic keyword placement aligned with your skill's core task and domain. This Claude Search Optimization approach ensures your documentation is found by users searching for the specific problem or technique you're documenting.

Can I use test-driven development for process automation documentation?

Yes. TDD applies to any skill documenting a process, technique, or automation approach. Define a scenario where agents fail without guidance, document their behavior and gaps, write the skill to close those gaps, then re-test until agents consistently apply the technique correctly.

What should I document first when creating a new debugging technique or process?

Start by defining a pressure scenario where an AI agent would fail without your guidance. Run the scenario, meticulously record the agent's exact behavior and rationalizations, then write your skill to specifically address those documented failures before re-testing for compliance.