Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
432 skills found
Implement consumer-driven contract testing for microservices using Pact, schema validation, and API versioning to prevent breaking changes and ensure distributed team coordination.
Interactive development workflow manager. Coordinates discovery, planning, review, and build phases using a specialized team of AI agents (Scout, Bob, Garry, Arlo) for consistent project delivery.
UI/UX design assistant that enforces component library usage, accessibility, and design tokens for React/Next.js projects. Ensures consistent visual output using shadcn/ui, Aceternity, and other approved libraries.
Activates Prometheus planning mode for structured requirement gathering, codebase research, and task planning within Claude Code.
Advanced context engineering system for orchestrating AI agents, memory management, and token optimization to improve long-term persistence and project intelligence.
A framework for managing the end-to-end LLM project lifecycle, from evaluating task-model fit and pipeline architecture design to implementing structured output parsing and agent-assisted development.
Operate the btca CLI for source-first code research. Manage git, local, and npm resources to ground AI answers in actual codebase context rather than outdated documentation.
Orchestrate parallel Claude Code worker swarms with protocol-based behavioral governance for complex features, multi-step refactors, and long-running autonomous coding sessions.
AWS ECS skill for container orchestration. Manage clusters, task definitions, services, and deployments with best-practice patterns for Fargate and EC2.
Manage isolated LlamaFarm development environments using git worktrees for parallel agent sessions and service testing.
Automates the lifecycle management of ephemeral Neon PostgreSQL databases for testing, CI/CD, and rapid prototyping workflows.
Audit and optimize your AI prompts with Token Surgeon. Detect 10 common waste patterns, calculate efficiency, and reduce token usage for better prompt performance.