What problem does it solve?
This Skill solves the problem of creating inconsistent, untested skills that agents fail to follow under pressure, leading to repeated mistakes and wasted effort when building AI agent workflows.
Core Features & Use Cases
- TDD-Adapted Skill Creation: Applies the RED-GREEN-REFACTOR cycle from test-driven development to skill authoring, ensuring skills are tested for compliance before deployment.
- Pressure Scenario Testing: Provides methodologies for testing skills with realistic high-pressure scenarios to identify and counter agent rationalizations.
- Discovery Optimization: Includes best practices for writing skill metadata (name, description) that ensures agents can find and trigger the right skill for the task.
Use this Skill when you are creating new custom skills for AI agents, editing existing skills that agents are not following correctly, or verifying a skill works as intended before sharing it with your team.
Quick Start
Use the writing-skills skill to create a new skill for your team's code review checklist, test it with pressure scenarios to ensure agents follow it even when rushed, and deploy it only after verifying 100% compliance.