Git & Workflow skills
Branching, PRs, commit messages, developer workflow, CLI tools. All free to download, install any skill with one command.
154 skills in Git & Workflow
Code Assistant
An AI coding assistant built in Rust that provides both command-line and graphical interfaces for autonomous code analysis and modification. Multi-Modal Tool Execution: Adapts to different LLM capabilities with pluggable tool invocation modes - native function calling, XML-style tags, and triple-caret blocks - ensuring compatibility across various AI providers. Real-Time Streaming Interface: Advan
Bash Linux
Bash/Linux terminal patterns. Critical commands, piping, error handling, scripting. Use when working on macOS or Linux systems.
Infinite Gratitude
Multi-agent research skill for parallel research execution (10 agents, battle-tested with real case studies).
Transform Generate Image With Transloadit
One-off image generation (prompt -> image file) using Transloadit via the `transloadit` CLI. Prefer builtin templates (`builtin/generate-image@latest`) and download outputs locally via `-o`.
Prometheus Model Context Protocol Server
A Golang-based Model Context Protocol (MCP) server implementation for Prometheus that enables natural language interactions with Prometheus metrics and queries. Built with Go, prometheus-mcp-server provides a robust, type-safe interface that maintains full consistency with the Prometheus HTTP API, allowing you to query and manage your Prometheus instance through natural language conversations with
FastMCP SonarQube Metrics
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
Wiki Changelog
Analyzes git commit history and generates structured changelogs categorized by change type. Use when the user asks about recent changes, wants a changelog, or needs to understand what changed in the repository.
Integrate Uppy Transloadit S3 Uploading To Nextjs
Add Uppy Dashboard + Transloadit uploads to a Next.js (App Router) app, with server-side signature generation and optional /s3/store export.
Varlock Skill for Claude Code
Secure environment variable management with Varlock. Use when handling secrets, API keys, credentials, or any sensitive configuration. Ensures secrets are never exposed in terminals, logs, traces, or Claude's context. Trigger phrases include "environment variables", "secrets", ".env", "API key", "credentials", "sensitive", "Varlock".
Posix Shell Pro
Expert in strict POSIX sh scripting for maximum portability across
Makepad Skills
Makepad UI development skills for Rust apps: setup, patterns, shaders, packaging, and troubleshooting.
Math MCP Learning Server
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
PiloTY
PiloTY (PTY for your AI Copilot) is an MCP server that gives an agent a persistent, interactive terminal. If you have used Claude Code / Codex to run shell commands, you have probably hit the same wall: tool calls tend to be stateless. Each call starts "fresh", so environment variables disappear, interactive programs cannot be driven reliably, and long-running processes get cut off or orphaned whi
Claude Speed Reader
-Speed read Claude's responses at 600+ WPM using RSVP with Spritz-style ORP highlighting
Bitbucket Automation
Automate Bitbucket repositories, pull requests, branches, issues, and workspace management via Rube MCP (Composio). Always search tools first for current schemas.
plantumlweb
Using nicegui as a PlantUML frontend, you can deploy PlantUML on an intranet. It's a nicegui demo project with an added MCP (Model Context Protocol) server that exposes PlantUML functionality to AI assistants. Plantuml jar version: plantuml-1.2025.3.jar - Interactive PlantUML editor with live preview - Save and load diagrams - Responsive UI with resizable panels - Generate PlantUML diagrams in SVG
Fal Platform
Platform APIs for model management, pricing, and usage tracking
Fal Upscale
Upscale and enhance image and video resolution using AI
Fal Audio
Text-to-speech and speech-to-text using fal.ai audio models
CloudBase MCP
CloudBase MCP 🪐 AI 编程,一键上线 连接 AI IDE 与腾讯云 CloudBase 的部署桥梁,让你的 AI 应用即刻上线 English · 简体中文 · [文档][docs] · [更新日志][changelog] · [反馈问题][github-issues-link] [![][npm-version-shield]][npm-link] [![][npm-downloads-shield]][npm-link] [![][github-stars-shield]][github-stars-link] [![][github-forks-shield]][github-forks-link] [![][github-issues-shield]][github-issues-link] ![][github-license-shield] ![][githu
Browse Page
Browse, read, and interact with web pages using PageMap MCP tools. Covers navigation, element interaction, form filling, and page state management.
K8M
English | 中文 k8m 是一款AI驱动的 Mini Kubernetes AI Dashboard 轻量级控制台工具,专为简化集群管理设计。它基于 AMIS 构建,并通过 kom 作为 Kubernetes API 客户端,k8m 内置了 Qwen2.5-Coder-7B,支持deepseek-ai/DeepSeek-R1-Distill-Qwen-7B模型 模型交互能力,同时支持接入您自己的私有化大模型(包括ollama)。 DEMO-InCluster模式 用户名密码 demo/demo - 详细的配置和使用说明请参考文档。 - 更新日志请参考更新日志。 - 开发设计文档-中文 - 开发设计文档-English - 迷你化设计:所有功能整合在一个单一的可执行文件中,部署便捷,使用简单。 - 简便易用:友好的用户界面和直观的操作流程,让 Kubernetes 管理更加轻松。支持
Bifrost - VSCode Dev Tools MCP Server
This VS Code extension provides a Model Context Protocol (MCP) server that exposes VSCode's powerful development tools and language features to AI tools. It enables advanced code navigation, analysis, and manipulation capabilities when using AI coding assistants that support the MCP protocol. - Installation/Usage - Multi-Project Support - Available Tools - Available Commands - Troubleshooting - Co
Optional: local embeddings (offline, ~2GB for PyTorch)
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.