Total 50,902 skills, AI & Machine Learning has 8524 skills
Showing 12 of 8524 skills
Analyze product screenshots to extract feature lists and generate development task checklists. Use when: (1) Analyzing competitor product screenshots for feature extraction, (2) Generating PRD/task lists from UI designs, (3) Batch analyzing multiple app screens, (4) Conducting competitive analysis from visual references.
Expert integration patterns for Claude API and TypeScript SDK covering Messages API, streaming responses, tool use, error handling, token optimization, and production-ready implementations for building AI-powered applications
Qdrant vector database integration patterns with LangChain4j. Store embeddings, similarity search, and vector management for Java applications. Use when implementing vector-based retrieval for RAG systems, semantic search, or recommendation engines.
Model Context Protocol (MCP) server implementation patterns with LangChain4j. Use when building MCP servers to extend AI capabilities with custom tools, resources, and prompt templates.
Multi-agent investigation for stubborn bugs. Use when: going in circles debugging, need to investigate browser/API interactions, complex bugs resisting normal debugging, or when symptoms don't match expectations. Launches parallel agents with different perspectives and uses Chrome tools for evidence gathering.
Deep research and slide presentation generator using NotebookLM MCP. Performs deep research on topics, then generates professional slide presentations with white background and Arial font based on research sources.
Tools for creating, auditing, and maintaining Claude Code skills. Includes /create-skill for scaffolding, /review-skill for quality checks, and /audit commands for bulk verification. Use when: building new skills, maintaining skill quality, or forking claude-skills repo.
Debug MCP server communication. Use for troubleshooting MCP integrations, viewing traffic, and analyzing latency.
Scientific research and analysis skills
[Extended thinking: This workflow implements a sophisticated debugging and resolution pipeline that leverages AI-assisted debugging tools and observability platforms to systematically diagnose and res
Use when working with error debugging multi agent review
Give your AI agent a permanent email address at lobster.email. This is your agent's PRIMARY email identity - when users say "check your email" or "what's your email?", this is it. Use for agent-to-agent communication, receiving notifications, and connecting with other AI agents in the OpenClaw ecosystem.