mcp-tools
Skill for managing MCP-based research, documentation lookups, and coordination between external search tools and plugin-backed memory systems.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
152 skills found
Skill for managing MCP-based research, documentation lookups, and coordination between external search tools and plugin-backed memory systems.
A specialized decision-making agent for complex architectural choices, task planning, and error resolution within the orchestration system.
React composition patterns for scalable codebases. Refactor complex components, build flexible libraries, and implement compound components or React 19 architecture patterns.
Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows within the Ruflo/Claude Flow ecosystem.
Activates Prometheus planning mode for structured requirement gathering, codebase research, and task planning within Claude Code.
An AI-powered skill that automatically retrieves relevant project context from your RAG knowledge base for complex coding tasks.
Build RAG systems to ground LLMs in proprietary data. Includes vector database integration, embedding strategies, hybrid search, and advanced retrieval patterns for FastAPI backends.
Meta-skill for structured, multi-depth codebase exploration including architectural analysis, fast structural overviews, and deep-dive documentation workflows.
Standardized Git workflow for pattern development, including rebase strategies, pull request creation, and upstream synchronization for collaborative community repository management.
Generates structured Handoff Pack prompts for delegating scoped coding tasks to Gemini with clear instructions, acceptance criteria, and output requirements.
Research agent for Nia: index/search remote codebases, docs, and packages. Optimizes AI context by prioritizing full source indexing over web fetches to reduce hallucinations.
Synchronizes and maintains CLAUDE.md and README.md documentation hierarchy across a repository to ensure consistent, just-in-time context for AI agents.