Create and validate AI agent skills using the RED-GREEN-REFACTOR cycle.
npx skills add https://github.com/ajsai47/holyclaude --skill writing-skills-ajsai47
Please help me install this Agent Skill. Skill: writing-skills Source: https://github.com/ajsai47/holyclaude/tree/main/skills/workflow/writing-skills Command: npx skills add https://github.com/ajsai47/holyclaude --skill writing-skills-ajsai47
This Skill solves the common issue of untested, ineffective process documentation that fails to guide AI agent behavior under pressure, leading to repeated mistakes, non-compliance with critical workflows, and wasted time debugging broken skills after deployment.
Use the writing-skills skill to create a new tested skill for our team's pre-commit code review workflow, following the TDD cycle to verify it works under time pressure before we deploy it to the team.
High-intent search queries and answers about installing and using this skill.
To create Claude Code skills that agents follow, use test-driven documentation to build discipline-enforcing rules and technique guides. This approach applies the RED-GREEN-REFACTOR cycle to verify skills work under real-world pressure before deployment.
AI agents bypass process documentation when it lacks rationalization bulletproofing. You can prevent this by adding explicit counters, red flag lists, and foundational principles to your skills, ensuring consistent agent compliance with defined workflows and standards.
Test-driven development for AI agent skill creation is adapting the RED-GREEN-REFACTOR cycle to process documentation. It validates that skills guide AI behavior correctly under pressure, eliminating untested documentation that fails during workflow execution.
To optimize skills for Claude Search discovery, structure skill names, descriptions, and content so future Claude instances can discover and correctly apply them. This ensures your team workflow skills are retrieved when needed.
Yes, you can use test-driven documentation to edit existing skills and close gaps found during usage. It validates whether agents will follow skills before sharing them with your team, covering creation, editing, and validation workflows.
Untested process documentation leads to repeated mistakes, non-compliance with critical workflows, and wasted time debugging broken skills after deployment. It fails to guide AI agent behavior effectively under pressure during execution.
cill-i-amApply test-driven development to create and refine skill documentation.
nhattran998Detect console errors, performance regressions, and page failures in live apps.
barretstorckGuide AI skill creation through RED-GREEN-REFACTOR cycles and loophole closure.
ryan-ressmeyerCreate and refine AI skills documentation using a test-driven RED-GREEN-REFACTOR cycle.
