16 autonomous workflow agents that orchestrate skills and commands into end-to-end workflows. Each agent is a multi-phase process that loads relevant skills for domain knowledge and can invoke slash commands for structured sub-tasks.
Note: Agents are not published to skills.sh. Install them by cloning this repo and copying the agent directory into your project.
| Agent | Description | Triggers |
|---|---|---|
| api | Full API development — design, OpenAPI specs, endpoint implementation, tests, and documentation | "build an API", "create API for", "design API", "generate OpenAPI spec", "add API endpoints" |
| backend | Production backend services — architecture decisions, database design, service layers, and operational readiness | "build a backend", "create a service", "design the architecture", "implement the backend", "create a microservice" |
| bootstrap | Project scaffolding with opinionated structure, documentation, and tooling | "bootstrap new project", "scaffold project", "create new project" |
| content | Professional written content — docs, blog posts, social media, emails, guides, and technical writing | "write a blog post", "create documentation", "draft an email", "write content for", "create a README" |
| debugging | Systematic error diagnosis — stack trace parsing, hypothesis formation, incremental fix verification | "debug this", "why is this failing", "fix this error", "investigate this bug", "diagnose this issue" |
| deployment | CI/CD pipelines, container builds, cloud deployment, environment promotion, and monitoring setup | "deploy", "set up CI/CD", "create pipeline", "containerize", "set up GitHub Actions" |
| design-system | Design token extraction from codebases or reference sites, Tailwind + CSS variable generation | "extract design system", "analyze design tokens", "create design system from" |
| development | Docs-first feature development — planning, spec creation, ADRs, and implementation tracking | "new feature", "develop feature", "add feature", "implement feature" |
| extraction | Pattern mining from codebases into reusable skills and documentation | "extract patterns from", "analyze this project", "extract from this repo", "capture patterns" |
| frontend | Production frontend interfaces — component design, styling, accessibility, and performance | "build a component", "create a page", "design the UI for", "build the frontend", "create a landing page" |
| marketing | Marketing pages, copy, conversion funnels, CRO analysis, and measurement setup | "create marketing page", "write copy for", "optimize conversions", "marketing strategy", "CRO audit" |
| migration | Multi-step migrations with rollback planning — database schemas, framework upgrades, architecture changes | "migrate", "upgrade", "migration plan", "migrate database", "zero-downtime migration" |
| performance | Performance optimization — bundles, runtime, memory, queries, API response times, Core Web Vitals | "optimize performance", "why is this slow", "reduce bundle size", "fix memory leak", "profile this" |
| refactoring | Systematic code refactoring — smell detection, planning, incremental execution with test verification | "refactor this", "clean up this code", "improve code quality", "restructure", "reduce complexity" |
| refinement | Consolidate extracted skills from staging into production-ready, project-agnostic patterns | "refine staged content", "consolidate skills", "process staging" |
| testing | Comprehensive test suites — strategy, generation, coverage analysis, and testing infrastructure | "write tests for", "test this", "improve test coverage", "add tests", "testing strategy" |
git clone https://github.com/wpank/ai ~/.ai-skillsFrom your project root:
# Single agent
mkdir -p .cursor/agents
cp -r ~/.ai-skills/agents/api .cursor/agents/api
# All agents
mkdir -p .cursor/agents
cp -r ~/.ai-skills/agents/* .cursor/agents/mkdir -p ~/.cursor/agents
cp -r ~/.ai-skills/agents/api ~/.cursor/agents/apiFrom your project root:
mkdir -p .claude/agents
cp -r ~/.ai-skills/agents/api .claude/agents/apimkdir -p ~/.claude/agents
cp -r ~/.ai-skills/agents/api ~/.claude/agents/apiEach agent directory contains
AGENT.md(the workflow definition) andREADME.md. For best results, also install the skills each agent references — see the agent's README for the list.
Each agent is defined in agents/<name>/AGENT.md and follows a consistent pattern:
- Skills — The agent loads relevant skills from
skills/for domain knowledge (listed in "Before Starting"). - Commands — The agent can invoke slash commands from
commands/for structured sub-workflows. - Workflow — A multi-phase process with checkpoints and quality gates (design, implementation, verification, etc.).
When you install an agent as a rule or skill, you're giving the AI the full AGENT.md so it can follow that workflow. For best results, also install the skills that agent references (see each agent's README for the list).
Each agent declares per-phase model tier recommendations in its YAML frontmatter (models:). This allows different phases to use different model tiers for cost/speed.
| Phase type | Typical tier | Rationale |
|---|---|---|
| Discovery / assessment | fast |
File reading, scanning, structure analysis |
| Planning / design | reasoning |
Architecture decisions, tradeoff analysis |
| Execution / implementation | standard |
Code generation with patterns |
| Verification / completion | fast |
Running checks, formatting output |
| Resource | Path | Description |
|---|---|---|
| Skills catalog | ../skills/ | 115 skills by category |
| Commands reference | ../commands/ | 48 slash commands |