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Found 39 Skills
Design tools that agents can use effectively. Use when creating new tools for agents, debugging tool-related failures, or optimizing existing tool sets.
Builds Model Context Protocol (MCP) servers for Claude with tools, resources, and prompts. Use when users request "create MCP server", "build Claude tool", "MCP integration", or "custom Claude tools".
Manage AI coding agents on a visual Kanban board. Run parallel agents through a To Do→In Progress→Review→Done flow with automatic git worktree isolation and GitHub PR creation.
Browser debugging and inspection toolkit for AI coding assistants via MCP protocol
Integrate GrepAI with Claude Code via MCP. Use this skill to enable semantic code search in Claude Code.
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.)
Control Chrome browser with AI using MCP protocol. Use when users want to automate browser tasks, take screenshots, fill forms, click elements, navigate pages, search browsing history, manage bookmarks, or perform any browser-based automation. Works with your existing Chrome browser and login sessions.
Use the local SupeRISE wallet through its MCP endpoint. Use this whenever the user expects the agent to operate, inspect, manage, or use the Superise wallet, including MCP connectivity, available wallet capabilities, or wallet tasks such as current wallet, wallet fingerprint, wallet status, wallet address or public key (`钱包地址`, `公钥`), balances (`余额`) for `CKB`, `ETH`, `USDT`, or `USDC`, transfer progress, transaction status, address-book lookups, signing, or transfers. When wallet intent is present, first discover the live MCP capabilities with `initialize -> notifications/initialized -> tools/list`, then choose the matching tool instead of guessing.
AI-powered computer automation using MCP to control desktop apps, click elements, and interact with the UI on macOS, Linux, and Windows
Expert in deploying and customizing a modular RAG system with MCP protocol for AI assistants
Connect AI agents to Cheat Engine for automated memory analysis, reverse engineering, and debugging via MCP
Build tools that agents can use effectively, including architectural reduction patterns