mcp-tools
Skill for managing MCP-based research, documentation lookups, and coordination between external search tools and plugin-backed memory systems.
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505 skills found
Skill for managing MCP-based research, documentation lookups, and coordination between external search tools and plugin-backed memory systems.
Process and generate multimedia with Google Gemini. Analyze audio, images, videos, and PDFs with high-context windows. Supports transcription, visual QA, OCR, and AI-driven image creation.
Automates finalization validation for project workflows by enforcing git compliance, documentation standards, and deployment readiness.
A command-line interface for the Model Context Protocol (MCP) to discover, inspect, and execute tools from MCP servers directly in your terminal.
Unified AI gateway for building full-stack apps and automating tasks. Access 100+ AI models for content generation, web scraping, app deployment, and Stripe payments with a single API key.
Collaborative PR review using a swarm of three specialized AI agents (Correctness, Health, UX) that discuss findings and reach consensus before posting a structured summary with inline comments.
Token-efficient codebase navigation through intelligent symbol indexing, domain chunking, and architectural layer filtering. Reduce token usage by 60-95% when exploring or developing complex systems.
Scaffold and build interactive MCP Apps with custom UIs for hosts like Claude Desktop. Supports React, Vanilla JS, and various framework templates for tool-resource integration.
Read, write, and manage Feishu (Lark) cloud documents. Supports markdown, block manipulation, tables, and media attachments.
Discover and recommend combinations of agent skills to complete complex, multi-faceted tasks using Maximum Quality or Minimum Dependencies strategies.
Generate hierarchical, token-efficient AGENTS.md files for AI coding agents to provide repository-wide context and project-specific guidelines.
Generate professional pull request descriptions using Grey Haven Studio standards, ensuring clear summaries, motivation, technical implementation details, and testing strategies.