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Found 40 Skills
Playwright MCP server: browser automation via MCP protocol, page interaction, form filling
Integrate Resend email service via MCP protocol for AI agents to send emails with Claude Desktop, GitHub Copilot, and Cursor. Set up transactional and marketing emails, configure sender verification, and use AI to automate email workflows.
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.
Develop a Base44 app remotely from your own coding agent (Claude Code, claude.ai, or any MCP client) by connecting it to the Base44 sandbox. Cloud agents connect over MCP; local agents can connect over MCP or drive the same sandbox with the `base44 sandbox` CLI subcommands (the CLI uses shorter names — e.g. read_file is `sandbox read`, list_directory is `sandbox ls`, run_command is `sandbox run`). Covers connecting/ authenticating, the available sandbox tools (run_command, read_file, write_file, edit_file, grep, list_directory, create_checkpoint, get_app_preview_url, get_app_status, list_user_apps, and the connector tools list_connectors / initiate_connector_connection), the edit→preview→verify loop, how changes persist, builder/external-agent concurrency, the in-editor "Send to Coding Agent" button + onboarding README URLs, and tips like reading the Vite dev-server logs. Triggers on "develop my Base44 app remotely", "connect Claude Code to Base44", "bring my own agent", "edit a Base44 app over MCP", "Base44 sandbox MCP", or "Send to Coding Agent".
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.
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.)