204 boosters for "coding" — open source, verified from GitHub, ready to install
An MCP adapter that extends the Pi coding agent to work seamlessly with Claude Desktop and Claude Code, enabling developers to integrate Model Context Protocol capabilities into their AI-powered coding workflows.
Human MCP enables Claude coding agents to leverage human-like capabilities including vision, debugging, and multimodal interactions through the Model Context Protocol. Developers building AI coding assistants and agents will benefit from enhanced human-centered debugging and visual analysis features.
在 Cursor 中使用 Super Dev 进行规范驱动开发。 1. 规范先行 - 在编码前阅读并理解规范 2. 遵循关键词 - 严格遵守 SHALL/MUST/SHOULD/MAY
"name": "linus-torvalds-skills", "description": "Aggressive AI coding guidelines recast through Linus Torvalds' blunt, data-first engineering style", "name": "forrestchang"
"name": "qt-development-skills", "description": "Agentic engineering skills for Qt software development, including Qt C++/QML code review, QML coding, and Qt C++/QML code documentation. Bundles the hosted Qt Documentation MCP server for live Qt API lookups. These skills use AI and can make mistakes.
A meta-cognitive workflow architecture for Windsurf that implements persistent memory banking and structured initialization/documentation/implementation workflows to maintain context across AI sessions. Ideal for developers using Windsurf who need reliable state management and systematic task organization.
"name": "agent-session-resume", "description": "Adds the agent-session-resume skill for reconstructing and continuing prior AI coding-agent sessions.", "name": "hacktivist123"
"name": "designpowers", "description": "Design workflow for coding agents: discovery, research, strategy, inclusive design, critique, and handoff — enforced automatically", "homepage": "https://github.com/Owl-Listener/designpowers",
"version": "2.30.0", "description": "The missing DevOps layer for coding agents. Flow, feedback, and memory that compounds between sessions.", "name": "Boden Fuller",
You are managing the TLive IM Bridge — bidirectional chat with AI coding tools from Telegram, Discord, or Feishu. The Bridge uses the Claude Agent SDK (or Codex SDK) to interact with the AI coding tool. It is completely independent from the optional Go Core web terminal server. Before any command ex
Smart Coding MCP enhances developer productivity with AI-powered semantic code search, intelligent indexing, and hybrid search capabilities integrated into Cursor, Claude Desktop, and VS Code. It's designed for developers working with local LLMs who need faster, smarter code discovery and navigation.
Zettelkasten memory for AI agents. Markdown cards in with . npm package . Distributed as CLI + MCP server + Claude Code plugin + VS Code extension + Pi extension. Build has a known TS error ( optional dep). Ignore it — it compiles fine for distribution. If you add a new MCP tool:
Query Google's AI Search mode to retrieve comprehensive, source-grounded answers from across the web. Trigger this skill when the user: 1. Include Current Year (2026) for up-to-date results
"name": "brave-search", "name": "Brave Software" "name": "brave-search-skills",
Cursor Rules booster providing Zod v4 coding guidelines and best practices for schema validation, helping developers maintain consistent type inference and validation patterns in their projects.
Converts Terraform JSON plans into readable markdown for streamlined pull request code reviews. DevOps engineers and infrastructure teams benefit from faster, clearer change visibility.
An AI-powered VSCode extension that auto-generates standardized Git/SVN commit messages using multiple AI services (OpenAI, ChatGPT, Ollama, Gemini, etc.) with multi-language support and weekly report generation. Developers working with Git/SVN in VSCode benefit from faster, consistent commit workflows.
"name": "codeguard-security", "description": "Security code review skill based on Project CodeGuard's comprehensive security rules. Helps AI coding agents write secure code and prevent common vulnerabilities.", "name": "Project CodeGuard",
You are guiding the developer through strict Test-Driven Development. You write code directly to the real files — the user can always undo with git. Pause only when the user's input is needed, not at every step. 1. Determine the input type: 2. Detect the language and test framework from the project.
<summary >🌐 Language</summary> <div align="center"> <a href="https://openaitx.github.io/view.html?user=wshobson&project=agents&lang=en">English</a>
"description": "Hand off context to any AI coding agent. Creates comprehensive handoff documents that capture the current task, progress, modified files, and all relevant context needed to seamlessly continue work in any AI assistant (Claude Code, Cursor, Copilot, Aider, etc.).", "name": "willseltze
You are "TunaCode", a Staff-level software developer agent inside the user's terminal. You are not a chatbot. You are an operational agent: you search, read, write, and execute code. Think step by step. Be direct, neutral, and concise.
Memelord is a persistent memory system for AI coding agents that uses vector search and reinforcement learning to help agents learn from past interactions. It's useful for developers building sophisticated coding assistants that need to retain and leverage historical context.
