mcp-client
Universal MCP client for connecting to any MCP server with progressive disclosure. Wraps MCP servers as skills to prevent context window bloat from tool definitions. Use for Zapier, GitHub, sequential thinking, and file operations.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
278 skills found
Universal MCP client for connecting to any MCP server with progressive disclosure. Wraps MCP servers as skills to prevent context window bloat from tool definitions. Use for Zapier, GitHub, sequential thinking, and file operations.
Create structured session handoff documents to ensure continuity when switching contexts, taking breaks, or ending your workday.
Send automated SMTP email notifications upon task completion, featuring customizable project names, execution statuses, and summary reports.
Security-first auditing framework for AI-generated code. Provides multi-level protection including hardcoded secret detection, dangerous pattern identification, and comprehensive vulnerability audits for modern web applications.
Explains code using visual diagrams, relatable analogies, step-by-step walkthroughs, and common pitfalls.
Autonomous recursive execution engine for indiiOS that manages task completion, state verification, and error handling.
Standardized testing patterns for WordPress ActivityPub plugin, covering PHPUnit unit tests and Playwright E2E integration tests.
Unified CLI tool to read, query, discover, and write AI agent conversations using the agents:// URI scheme across multiple coding agents and providers.
ClawHub is the official registry and CLI tool for managing OpenClaw AI agent skills. Search, install, version-control, and publish custom skills to your local OpenClaw workspace.
Implement production-ready AI chat interfaces using OpenAI ChatKit React components. Features include hook configuration, streaming, theming, conversation history, and custom tool integration for Next.js applications.
A comprehensive guide and reference for building, orchestrating, and deploying AI agents using the Google Agent Development Kit (ADK).
Essential guide to llmemory for document storage and search: installation, database setup with pgvector, document ingestion, hybrid/semantic retrieval, and building RAG systems with multi-tenant support.