mcp-builder

template-skill

lifangda

Replace with description of the skill and when Claude should use it.

internal-comms

lifangda

A set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Claude should use this skill whenever asked to write some sort of internal communications (status reports, leadership updates, 3P updates, company newsletters, FAQs, incident reports, project updates, etc.).

skill-creator

lifangda

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.

prompt-engineering-patterns

lifangda

Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production. Use when optimizing prompts, improving LLM outputs, or designing production prompt templates.

langchain-architecture

lifangda

Design LLM applications using the LangChain framework with agents, memory, and tool integration patterns. Use when building LangChain applications, implementing AI agents, or creating complex LLM workflows.

search-plus

shrwnsan

VibeKit: Productivity Plus Claude Code Plugin Marketplace. A curated collection of productivity-enhancing plugins for developers, vibe coders, context engineers, indie hackers, etc.

Hooks Automation

ruvnet

Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre/post task hooks, session management, Git integration, memory coordination, and neural pattern training for enhanced development workflows.

performance-analysis

ruvnet

Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms

flow-nexus-neural

ruvnet

Train and deploy neural networks in distributed E2B sandboxes with Flow Nexus

AgentDB Memory Patterns

ruvnet

Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.

AgentDB Vector Search

ruvnet

Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.

research

danielmiessler

Multi-source comprehensive research using perplexity-researcher, claude-researcher, and gemini-researcher agents. Launches up to 10 parallel research agents for fast results. USE WHEN user says 'do research', 'research X', 'find information about', 'investigate', 'analyze trends', 'current events', or any research-related request.