swarm
Orchestrate parallel Claude Code worker swarms with protocol-based behavioral governance for complex features, multi-step refactors, and long-running autonomous coding sessions.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
517 skills found
Orchestrate parallel Claude Code worker swarms with protocol-based behavioral governance for complex features, multi-step refactors, and long-running autonomous coding sessions.
Unified Python CLI for Tavily AI operations including web search, URL extraction, site crawling, link mapping, and automated deep research reports.
Retrieve current, source-backed technical information using MCP tools to resolve queries about libraries, APIs, SDKs, and evolving tech ecosystems.
Evidence-first literature collector for automated research pipelines. Scales paper pools to 1200+ with metadata normalization, provenance tracking, and multi-source ingestion.
AI-powered creative visual prompt generator for posters, banners, product shots, and social media content.
Standardized React UI patterns for loading states, error handling, and data fetching to ensure consistent UX and robust component architecture.
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 Manage git, local, and npm resources to ground AI answers in actual codebase context rather than outdated documentation.
Structured batch manipulation, validation, and reporting for PlantUML sequence diagrams across multiple files.
AI-driven GitHub project management using swarm coordination, automated issue triage, project board synchronization, and intelligent task decomposition for efficient development workflows.
Execute implementation plans using isolated subagents for each task, featuring a rigorous two-stage review process for spec compliance and code quality.
A comprehensive guide for using Bun as a high-performance alternative to Node.js. Supports project initialization, dependency management, script execution, and migration checklists.
Systematic debugging skill to trace errors backward through call stacks, identify original triggers, and implement layered defenses instead of patching symptoms.