A curated set of practical skills and cheat-sheet commands designed to help participants quickly understand, use, and experiment with AI agents during the AI Lab workshop.
This repository also configures its own agents. See what ai-lab-agent-skills tells them →
TSS-Blue-AI-Lab/ai-lab-agent-skills
Skill Claude CodeCodex
Generate new reusable skills from git history, coding patterns, and team practices. The meta-skill: teaches the AI to create new skills. Use when: you have recurring patterns worth capturing, want to codify team knowledge, or need to create custom workflows for your project.
TSS-Blue-AI-Lab/ai-lab-agent-skills
Skill Claude CodeCodex
Audit rules and skills for semantic contradictions, redundancy, and staleness, then interactively resolve with the user. Use periodically when agent performance degrades or after adding many rules/skills.
TSS-Blue-AI-Lab/ai-lab-agent-skills
Skill Claude CodeCodex
Full test-driven development cycle: Red-Green-Refactor. Write tests first, then implement, then clean up. Use when: building new features with high confidence, or enforcing disciplined development practices.
TSS-Blue-AI-Lab/ai-lab-agent-skills
Skill Claude CodeCodex
Write comprehensive tests for existing code. Covers unit, integration, and E2E tests. Use when: adding tests to untested code, improving coverage, or ensuring a feature works before shipping.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: