What problem does it solve?
Prevents undocumented or ineffective skills by applying test-driven discipline to skill creation, ensuring agent behaviors match intent and reducing failed deployments due to ambiguous guidance or discovery errors.
Core Features & Use Cases
- Test-first pressure scenarios: Run failing subagent scenarios to capture baseline rationalizations before authoring a skill.
- SKILL.md best practices: Enforce YAML frontmatter with name and a discovery-focused description, keyword coverage, and token-efficiency guidance.
- Verification and iteration: Use RED-GREEN-REFACTOR cycles to close loopholes and confirm agent compliance.
- Use Case: Create a discipline skill that prevents agents from skipping required review steps by documenting the failing behavior, authoring the minimal counter-instruction, and revalidating.
Quick Start
Use writing-skills to create a new SKILL.md by first running a failing pressure scenario that documents agent rationalizations, author a minimal SKILL.md with required frontmatter and discovery-focused description, and rerun the scenario to verify agents now comply.