Git & Workflow skills

Persistent memory and knowledge management. Use at session start to load context, when the user asks about past work or stored knowledge, and when saving important information for future sessions.

Generate workflow JSON files for chaining AI models

Multi-agent research skill for parallel research execution (10 agents, battle-tested with real case studies).

You are a workflow automation expert specializing in creating efficient CI/CD pipelines, GitHub Actions workflows, and automated development processes. Design automation that reduces manual work, improves consistency, and accelerates delivery while maintaining quality and security.

AI assistants struggle with codebase understanding. You get: - ❌ "I can't see your code structure" - ❌ "I don't know what depends on this function" - ❌ Generic refactoring advice without impact analysis - ❌ No understanding of symbol relationships XRAY gives AI assistants code navigation capabilities. Add use XRAY tools to your prompt: XRAY provides three focused tools: - 🗺️ Map (explorerepo) - S

You are an **expert onboarding specialist and knowledge transfer architect** with deep experience in remote-first organizations, technical team integration, and accelerated learning methodologies. You

General principles for structured content modeling that apply across CMSs, with Sanity-specific guidance. Use when designing content schemas, planning content architecture, or evaluating content reuse strategies.

Upscale and enhance image and video resolution using AI

MCP Server for the GitLab API, enabling project management, file operations, and more. - Automatic Branch Creation: When creating/updating files or pushing changes, branches are automatically created if they don't exist - Comprehensive Error Handling: Clear error messages for common issues - Git History Preservation: Operations maintain proper Git history without force pushing - Batch Operations:

A unified Model Context Protocol server implementation that aggregates multiple MCP servers into one. 1MCP (One MCP) is designed to simplify the way you work with AI assistants. Instead of configuring multiple MCP servers for different clients (Claude Desktop, Cherry Studio, Cursor, Roo Code, Claude, etc.), 1MCP provides a single, unified server. - 🔄 Unified Interface: Aggregates multiple MCP ser

The Wanaku MCP Router is a router for AI-enabled applications powered by the Model Context Protocol (MCP). This protocol is an open protocol that standardizes how applications provide context to LLMs. The project name comes from the origins of the word Guanaco, a camelid native to South America. - Unified Access - Centralized routing and resource management for AI agents - MCP-to-MCP Bridge - Act

✨ Instantly understand and visualize your codebase structure & dependencies! ✨ A TypeScript-based tool for ranking files in your codebase by importance, tracking dependencies, and providing summaries to help understand code structure. This MCP server analyzes your codebase to identify the most important files based on dependency relationships. It generates importance scores (0-10) for each file, t

An MCP server implementation that provides job search functionality. Get available jobs with filtering options sinceWhen (string): Since when to get available jobs. e.g., '1d' or '1w' (only days and weeks are supported) keywords (string[], optional): Keywords to filter jobs by excludeKeywords (string[], optional): Keywords to exclude from the jobs isRemote (boolean, optional): Whether to filter jo

Educational MCP server with 17 tools, persistent workspace, and cloud hosting. Built with FastMCP and the official Model Context Protocol Python SDK. Available on: - Official MCP Registry - io.github.clouatre-labs/math-mcp-learning-server - PyPI - math-mcp-learning-server Requires an MCP client: - Claude Desktop - Anthropic's desktop app - Claude Code - Command-line MCP client - Goose - Open-sourc

-Speed read Claude's responses at 600+ WPM using RSVP with Spritz-style ORP highlighting

Automate GitLab project management, issues, merge requests, pipelines, branches, and user operations via Rube MCP (Composio). Always search tools first for current schemas.

This project provides a set of tools for retrieving information about SonarQube projects using the FastMCP (Fast Model Context Protocol) framework. It serves as an interface to SonarQube, allowing users to programmatically access metrics, historical data, and component tree metrics for specified projects. This automated access enables reporting, analysis, and integration of SonarQube data with oth

Download the MCPBundles Hub .mcpb file directly: Download hub.mcpb This .mcpb package contains a pre-configured MCP server proxy that connects to the MCPBundles Hub endpoint. Once installed, your AI assistant can discover and execute tools from all your enabled bundles. MCP Bundles is the simplest way to connect AI assistants to real-world tools. Instead of configuring hundreds of individual MCP s

Validates Conductor project artifacts for completeness,

Design patterns for building autonomous coding agents. Covers tool integration, permission systems, browser automation, and human-in-the-loop workflows. Use when building AI agents, designing tool APIs, implementing permission systems, or creating autonomous coding assistants.

This downloads the latest release and installs it to /Applications. 1. Download the latest MemoryLane Setup .exe from GitHub Releases. 2. Run the installer and finish setup. 3. Launch MemoryLane from the Start menu. Desktop app that sees what you see, stores summaries about it locally and lets you query it in any AI chat via MCP. Screenshots → local storage → MCP into AI chats Once connected, try

English | 中文 Zero-dependency MCP memory server for AI agents — persistent, searchable, local-first, single binary. - No infra to babysit. Single Go binary. No Docker, no Node.js runtime, no cloud account, no API keys. brew install in 30 seconds. - Memory stays with the project. Stored in .aimemo/ next to your code — commit it to git or add it to .gitignore. Switch branches; memory follows the dire

Master advanced Git workflows including rebasing, cherry-picking, bisect, worktrees, and reflog to maintain clean history and recover from any situation. Use when managing complex Git histories, collaborating on feature branches, or troubleshooting repository issues.

Offline lookup for Transloadit Robots and their parameter docs/examples via the `transloadit` CLI. Use to draft or validate `steps` JSON without guessing robot names/params.