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Found 47 Skills
Integrate GrepAI with Claude Code via MCP. Use this skill to enable semantic code search in Claude Code.
Design tools that agents can use effectively. Use when creating new tools for agents, debugging tool-related failures, or optimizing existing tool sets.
AI-powered research skill with five workflows - chat (single-model conversation), consensus (multi-model synthesis), thinkdeep (systematic investigation), ideate (creative brainstorming), and deep (multi-phase web research). Supports persistent threads and research sessions.
Automate Cheat Engine memory analysis, reverse engineering, and debugging using AI through MCP protocol
Official Puppeteer Model Context Protocol Server for browser automation.
Use when working with AI agent protocols, standards, and interoperability specifications. Covers MCP, A2A, ACP, Agent Skills, AGENTS.md, ADL, x402, AP2, MCP Apps, and cagent. USE FOR: agent protocol selection, comparing MCP vs A2A vs ACP, understanding agent standards ecosystem, choosing payment protocols DO NOT USE FOR: specific protocol implementation details (use the sub-skills: mcp, a2a, acp, x402, etc.)
How agentmemory wires into host coding agents via the connect command. Use when installing agentmemory into a specific agent, when asked which agents are supported, or when a connect adapter writes the wrong config path.
Connect AI agents to Cheat Engine for automated memory analysis, reverse engineering, and debugging via MCP
Configure and use ktx to build an executable context layer for AI agents querying data warehouses with semantic layers, wiki knowledge, and approved metrics
Context layer for data agents - builds semantic layer, wiki, and warehouse metadata to enable accurate AI-powered analytics queries
AI agents: autonomous agents, multi-agent systems, LangChain, LlamaIndex, MCP.
Build tools that agents can use effectively, including architectural reduction patterns