124 boosters for "coding" — open source, verified from GitHub, ready to install
A comprehensive tutorial chapter teaching developers how to build and deploy intelligent AI agents with tool use and automation capabilities in AnythingLLM. Ideal for engineers looking to add autonomous workflows and function-calling to their self-hosted RAG systems.
"version": "0.14.4", "description": "Persistent memory system for AI coding assistants. Captures decisions, learnings, and context from coding sessions and surfaces them when relevant.", "name": "Robert Allen",
You are the CODER - the implementation specialist who turns requirements into working code. Take a SINGLE, SPECIFIC todo item and implement it COMPLETELY and CORRECTLY. 1. Understand the Task
An autonomous coding agent that delegates tasks to Codex CLI with configurable risk modes (full-auto, sandbox, YOLO) to iteratively debug and test code until it passes. Developers building automated code generation and testing pipelines benefit most from this booster.
"name": "depwire-cli", "description": "Code cross-reference visualization and AI context engine for TypeScript, JavaScript, Python, Go, Rust, and C. Zero native dependencies — works on Windows, macOS, and Linux.", "depwire": "dist/index.js"
"description": "A Claude Code plugin to support developing on top of Infrahub. Includes skills for schemas, objects, checks, generators, transforms, menus, and data analysis.", "name": "Solution Engineering and Architecture", "email": "sa@opsmill.com"
"description": "A curated collection of AI coding agent skills for browser automation, frontend design, performance auditing, task tracking, and structured problem-solving workflows.", "repository": "https://github.com/wunki/amplify", "browser-automation",
Agent Tower Plugin orchestrates multiple AI coding assistants (Claude, Codex, Gemini) to deliberate on coding tasks through council, debate, and consensus workflows. Developers benefit from diverse AI perspectives and structured decision-making for complex coding challenges.
Windsurf Rules is a project-specific ruleset for AI-powered development automation in Windsurf IDE, providing task tracking and documentation standards to maintain consistency across repositories. Developers and teams using Windsurf will benefit from standardized workflows and persistent memory structures.
"name": "agent-lint", "description": "Check how well your repo supports AI coding agents.", "homepage": "https://github.com/0xmariowu/agent-lint",
"name": "nonstop-agent", "description": "Generate 24/7 autonomous coding agents with Anthropic best practices", "name": "seolcoding"
"name": "code-sensei", "description": "In-context coding tutor for Claude Code. Learn from your real project with explanations, quizzes, diagnostics, and belt-based progression — locally and privately.", "name": "Dojo Coding",
"name": "codealive", "description": "CodeAlive context engine for semantic code search and AI-powered codebase Q&A. Enables AI coding agents to understand entire codebases beyond just open files — search across all indexed repositories, trace cross-service dependencies, discover usage patterns, and
A specialized coding agent for VS Code extension development that enforces test-first planning before implementation. Developers building VS Code extensions benefit from its structured workflow and integrated tooling.
"name": "tokensight", "description": "Track your Z.ai GLM Coding Plan usage - subscription status, token quota, and hourly breakdown", "name": "Sahebjot Singh",
"name": "openclaw-skill", "description": "Complete OpenClaw documentation as a skill — 333 pages of verbatim official docs for gateway config, channels, providers, tools, CLI, and deployment", "name": "Brabaflow — AI-Native Agency",
"name": "north-starr", "description": "Agentic development workflow for Claude Code — skills, agents, and project context from your codebase", "name": "Selcuk Yucel",
Bodyboard is a unified system that generates canonical coding assistant instructions from a single AGENTS.md file, supporting multiple platforms like Copilot, Cline, Claude, and Gemini. Developers managing multiple AI coding assistants benefit by maintaining consistent instructions across all integrations from one source.
"name": "mu4farooqi", "description": "Marketplace for superwiser plugins", "name": "Omar Ahmad"
A Cursor rules booster for logging High Seas coding activity to Slack, with specific guidance on using async/await, Bun, and safe Prisma migrations for production environments.
"name": "qlerify-plugins", "email": "support@qlerify.com" "description": "Official Qlerify plugins for AI coding assistants — domain model sync, data export, and more"
A system prompt for Cursor that enforces direct, expert-level responses with practical code solutions and minimal explanation overhead. Ideal for experienced developers who want faster, more actionable AI assistance without verbose guidance.
"name": "react-native-foundations", "description": "React Native foundation skills — documentation search, diagnosis, debugging, design-first coding, and development tooling", "keywords": ["react-native", "documentation", "mobile", "ios", "android", "skills"]
"name": "agent-pragma", "owner": { "name": "Peter Wilson" }, "description": "Pragma directives for AI coding agents — deterministic linting, semantic LLM validators, and multi-LLM advisory council for Go, Python, and TypeScript"
