mcp-patterns
Maintenance patterns for the @youdotcom-oss/mcp STDIO bridge, focusing on transport lifecycle management, shutdown guards, and robust error handling.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
115 skills found
Maintenance patterns for the @youdotcom-oss/mcp STDIO bridge, focusing on transport lifecycle management, shutdown guards, and robust error handling.
High-performance document intelligence library for extracting text, tables, code, and metadata from 91+ file formats, with OCR and LLM-ready output.
A modular data processing tool for cleaning, validating, and analyzing CSV files with support for custom transformations and automated dependency management.
GPT Researcher is an autonomous AI agent for comprehensive web and local research, generating detailed, cited reports using a planner-executor-publisher architecture.
Structured 6-phase workflow for planning and implementing features, skills, and architectural changes with automated tool discovery and safety verification.
Dialectical reasoning and adversarial coding agent for MCP-enabled editors, forcing LLMs to resolve internal contradictions for higher quality outputs.
Guide for integrating and managing custom Model Context Protocol (MCP) servers within the Cursor IDE environment.
Automated tool and MCP server discovery for Claude Code. Searches 17+ registries to find relevant skills, plugins, and tools before planning or when errors occur.
A runtime skill discovery engine for AI agents. Search and retrieve specialized agent skills (SKILL.md) on-demand via REST API or MCP to inject procedural knowledge into your agent's context.
Automate Adobe After Effects tasks using the Model Context Protocol. Manage compositions, layers, keyframes, effects, and expressions for motion graphics, title cards, and logo reveals.
Advanced context engineering system for orchestrating AI agents, memory management, and token optimization to improve long-term persistence and project intelligence.
Supermemory is a long-term memory infrastructure for AI agents, enabling persistent context, user profiles, and semantic RAG across multi-modal knowledge bases.