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agent-skills

Reusable agent skills for AI coding assistants. Compatible with Cursor, Claude Code, Codex, and 40+ agents via npx skills.

Skills

Skill Description
production-grade Principle-engineering posture for production-grade code. Plans before code, simplest-correct-solution-first, ACM-grade algorithms, EXPLAIN-first databases, idempotent-atomic writes, realtime-first, concurrent-by-default, TDD-steered E2E, runtime-coherent infrastructure, maintenance & remediation of inherited or generated code. Substrate-agnostic.
tailwind-v3-to-v4-migration Migrate a project from Tailwind CSS v3 to v4 safely and completely. Codemod-first (@tailwindcss/upgrade), then the judgment it can't do: dependency/PostCSS/Vite/CLI plumbing, JS config → CSS @theme (or keep via @config), the v4 changed-defaults audit + compat shims, a residual sweep, and proving the migration is a visual no-op. Framework-agnostic; bundles the official upgrade guide.
create-skill-autoresearch Factory for building production-grade agent skills: interviews you for purpose + gold standards, researches the domain, drafts the skill, autonomously improves it against an LLM-as-judge (or real-world) metric, and verifies it with an independent multi-agent panel. Extends the official single-pass skill creators. Orchestrates companion skills (autoresearch, premortem, handoff) — install those alongside it; the full batteries-included environment is the agent-skills-harness.
tribunal Doer → verifier-panel → consensus delivery verification for any artifact (code slices, plans, documents, audits). An orchestrator freezes acceptance criteria before implementation, dispatches a doer, then convenes a context-walled panel of independent verifiers — including an adversary with a must-oppose mandate — for evidence-anchored review (citations grepped before consensus math) adjudicated to SHIP / SHIP_WITH_CAVEATS / ITERATE / BLOCK / ESCALATE. Principles-first: panel lenses, dimensions, and prompts derived per artifact from hard invariants. Platform-agnostic; degrades to sequential fresh-context sessions without subagents. Outcome-weighted A/B benchmarks (blind-judged, executed answer keys, honest negatives included) in its README.

Benchmarks

Skill benchmarks live in benchmarks/, one directory per skill — kept outside skills/ so they don't ship when a skill is installed. Each is self-contained (arms, scorer, configs) and measures the same model with the skill vs without. See

Install

npx skills add a-tokyo/agent-skills

Or install a specific skill:

npx skills add a-tokyo/agent-skills --skill production-grade
npx skills add a-tokyo/agent-skills --skill tailwind-v3-to-v4-migration
npx skills add a-tokyo/agent-skills --skill create-skill-autoresearch
npx skills add a-tokyo/agent-skills --skill tribunal

create-skill-autoresearch orchestrates companion skills at runtime — autoresearch (github/awesome-copilot), premortem (parcadei/continuous-claude-v3), and handoff (mattpocock/skills). Install those too, or just use the batteries-included agent-skills-harness where everything is wired up.

License

MIT Ahmed Tokyo

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🧠 AI Agent skills for LLMs and AI Agents - Claude, Codex, Cursor etc.

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  • Python 45.5%
  • HTML 26.4%
  • JavaScript 14.9%
  • TypeScript 13.2%