124 boosters for "coding" — open source, verified from GitHub, ready to install
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.
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.
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
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>
"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",
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.
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.
A local SQLite-based command-line task board for AI agents and developers to manage multi-step coding tasks, track progress, and coordinate work across sessions without external dependencies. Ideal for breaking down complex implementations into trackable subtasks with comments and checklists.
See CLAUDE.md for project instructions.
Godot 4.4 Cursor rules: coding standards, architecture patterns, and performance tips for AI-assisted game dev.
"$schema": "https://json.schemastore.org/package.json", "version": "0.0.4-beta", "name": "@arctic-cli/arctic",
An autonomous agent designed to handle project design and coding tasks end-to-end without human intervention, leveraging Claude's code execution capabilities. Useful for developers seeking automated development workflows and system introspection.
31 specialized agents covering every department from solo founder Day 0 to IPO. 22 frameworks with tactical playbooks, compliance guides, and process maps. Before loading any agent files, consult . It contains:
"$schema": "https://anthropic.com/claude-code/marketplace.schema.json", "name": "zai-coding-plugins", "description": "A collection of plugins developed by Z.ai to enhance coding productivity and workflows.",
rtfmbro-mcp provides AI coding agents with always-up-to-date, version-specific package documentation to prevent outdated knowledge errors. Developers and teams using Claude/Copilot for agentic coding tasks benefit from accurate, real-time API references.
<plan>$ARGUMENTS</plan> 1. Find latest in | 2. Parse plan for phases and status, auto-select next incomplete (prefer IN_PROGRESS or earliest Planned)
GiGL provides essential Cursor coding standards emphasizing explicit naming conventions and fail-fast error handling to improve code readability and maintainability. Developers working with graph neural networks and large-scale ML projects benefit from these foundational best practices.
<projectdescription> </projectdescription> <architecture_overview>
"source": "./plugins/fulcrum", "description": "Task orchestration for Claude Code",
This project includes deepsafe-scan, a preflight security scanner for AI agent environments. When the user asks to audit, scan, or check security of their AI agent setup, skills, or MCP servers, run the scanner: For a full scan with LLM analysis (if OPENAIAPIKEY is set):
If no interval is specified, the default interval is 10 minutes. The loop stops automatically when any of the following occur: 1. Maximum iteration count (100) is reached
