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skill-writer

Create and validate discipline-enforcing AI skills via a test-driven workflow.

38|6|Updated Sep 13, 2012
Search Tags:#automation#workflow#testing#tdd#claude-code#skill-generation#skill-writer
One-click install
npx skills add https://github.com/pixelastic/oroshi --skill skill-writer-pixelastic
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-writer
Source: https://github.com/pixelastic/oroshi/tree/main/tools/ai/claude/config/skills/skill-writer
Command: npx skills add https://github.com/pixelastic/oroshi --skill skill-writer-pixelastic

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Creates and enforces discipline-oriented AI skills by guiding a test-driven workflow that ensures agents follow defined processes under pressure.

Core Features & Use Cases

  • Structured, stepwise workflow (GRILL → RED → GREEN → PRESSURE → OPTIMIZE) to design, test, and refine skills.
  • Built-in testing guidance and templates for validating skill behavior before and after activation.
  • Clear documentation and references to supporting materials to keep skills focused and auditable.
  • Compatibility with subagents and dynamic context to run skills in isolation when needed.

Quick Start

Create or update a skill by following the GRILL–RED–GREEN–PRESSURE–OPTIMIZE workflow and run the tests to verify compliance.

Frequently Asked Questions about skill-writer

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

FAQPage Schema
How do I create AI skills using a test-driven development workflow in Claude Code?▼

You create AI skills by following a structured test-driven workflow that guides you from goal understanding through pressure testing. This process ensures frontmatter correctness, stepwise guidance, and audit-ready validation before activation.

What is the best way to enforce discipline in automated AI agent workflows?▼

Enforcing discipline in automated workflows requires applying a test-driven process like GRILL, RED, GREEN, PRESSURE, and OPTIMIZE. This stepwise approach designs, tests, and refines skills to ensure agents follow defined processes under pressure.

How do I validate AI skill behavior before activating it in Claude Code?▼

You validate AI skill behavior using built-in testing guidance and templates provided during the workflow. This allows you to verify compliance and audit readiness both before and after the skill is activated.

Can I run newly created skills in isolation with subagents and dynamic context?▼

Yes, the skill creation process supports compatibility with subagents and dynamic context. This allows you to run and test skills in isolation when needed to verify specific behaviors.

What are the limitations of using a test-driven approach for generating AI skills?▼

The test-driven skill generation approach requires strict adherence to the structured workflow phases to maintain auditability. Skipping the pressure testing or optimization phases may result in AI agents failing to follow defined processes under stress.

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