A staff engineer's playbook, compressed for LLMs
Twenty-three structured Markdown skills that teach AI agents to spec, build, test, and ship like senior developers.

What it does
Agent Skills is a collection of 23 Markdown-based instruction sets — plus three specialist personas — that plug into Claude Code, Cursor, Gemini CLI, Windsurf, Copilot, and others. Each skill encodes a specific engineering workflow: spec-driven development, test-driven development, doubt-driven development, code review, security hardening, shipping, and more. Agents invoke them via slash commands (/spec, /build, /ship) or automatically based on context.
The interesting bit
The clever angle is doubt-driven development: a built-in adversarial loop where the agent must extract claims, doubt them, reconcile, and stop — with optional cross-model escalation. It’s essentially a structured way to make an LLM argue with itself before it commits to a bad architectural decision.
Key highlights
- 23 skills covering the full lifecycle, from vague-idea interview to staged rollout
- Automatic skill activation by task type (API design triggers
api-and-interface-design, UI work triggersfrontend-ui-engineering) - Reference checklists for testing, security, performance, and accessibility
- Plain Markdown format works with any agent that accepts system prompts
- ~47K stars and explicit setup docs for seven major tools
Caveats
- Effectiveness depends heavily on how well your specific agent follows long structured prompts
- Some skills (like
doubt-driven-development) require user-authorized escalation steps that may interrupt flow - The “95% confidence” target in
interview-meis a heuristic, not a measurable threshold
Verdict
Worth a look if you’re tired of AI agents skipping tests, writing specs after the fact, or shipping without rollback plans. Probably overkill if you’re just using Copilot for autocomplete or one-off scripts.