416 boosters for "oss" — AI-graded, open source, ready to install
An agent that helps developers write and maintain API documentation by automating documentation tasks across Claude Code and Desktop platforms. Useful for teams managing API specs and technical documentation at scale.
A load-balancer agent that distributes agent tasks across multiple workers using library-first design patterns. Useful for operations teams optimizing task distribution and resource allocation in multi-agent systems.
An agent that audits and evaluates output quality across Claude Code and Claude Desktop platforms, following a library-first approach to reuse components and patterns. Useful for developers implementing quality assurance workflows and recursive improvement processes.
A planner agent that helps decompose and execute multi-step agent tasks by enforcing library-first development practices and reuse patterns. Useful for teams building complex agent workflows who want to avoid duplicating code across projects.
A CLI tool for orchestrating AI agents at scale to analyze code repositories, manage GitHub collaborators, and conduct bulk research across multiple data sources including Notion and CSV. Ideal for developers and teams automating large-scale code analysis, data processing, and repository management tasks.
Cocode provides GitHub Copilot users with comprehensive coding standards and best practices guidance, covering type hints, Pydantic models, documentation, and error handling to enforce consistent code quality across teams.
Skill-Based Agents provides documentation for 6 autonomous agent skills (archon-manager, framework-orchestrator, multi-agent-architect, codex-review-workflow, design-system-architect, security-architect) that handle strategic coordination, orchestration, and governance across projects. Developers building multi-agent systems or requiring automated governance workflows benefit from understanding these reusable agent patterns.
A Windsurf rules configuration for Go projects that enforces clean architecture, idiomatic Go patterns, and comprehensive testing practices. Ideal for Go teams seeking to maintain code quality and consistency across projects.
Autarch Agent System is a multi-agent architecture that orchestrates AI workflows across scoping, research, planning, execution, and review stages, enabling developers to leverage AI for structured, traceable code generation and codebase analysis at scale.
Summarize and reflect on past Codex session histories to identify patterns, themes, and insights from your coding work. Useful for developers who want to audit their development process, track projects, or surface repeated patterns across multiple sessions.
An MCP server that enables Claude to query Azure resources across subscriptions using Resource Graph queries, helping Azure administrators and developers audit, manage, and analyze their cloud infrastructure programmatically.
A system protection agent that identifies vulnerabilities, implements security measures, and ensures compliance with security standards across application, infrastructure, and data domains. Developers and security teams benefit from automated threat assessment and security control implementation.
DynamicEndpoints Autogen_mcp enables creation and management of collaborative AI agents that solve problems through natural language interaction. Developers and AI teams benefit from orchestrating multi-agent workflows across Claude Desktop, Claude Code, and Cursor.
The Data Agent is a specialized assistant that handles database operations, data modeling, schema design, and quality assurance across projects. It benefits developers, data engineers, and architects who need expert guidance on data management workflows and optimization.
Cursor Rules for WiseMapping frontend that enforces copyright headers, Material-UI tree-shakeable imports, and code standards to maintain bundle size and legal compliance across the project.
Deep Research is an advanced web research booster using Graph-of-Thoughts methodology to investigate fast-changing topics through hypothesis testing, source triangulation, and multi-tier analysis. It's designed for users and developers needing rigorous, current information on evolving subjects.
Transforms rough prompts into production-ready LLM prompts using advanced techniques like Chain-of-Thought and RAG optimization. Ideal for developers, AI engineers, and teams building LLM applications who need to craft effective prompts across Claude, GPT, Llama, and other models.
Zod Migration safely transitions TypeScript projects from type-only definitions to runtime-validated Zod schemas with automated preflight checks and reversion capability. TypeScript developers managing schema validation across codebases will find this particularly valuable.
A Windsurf-specific coding guidelines booster that enforces Python best practices including documentation standards, absolute imports, early returns, and design patterns for maintainable code. Ideal for Python developers using Windsurf who want to maintain consistent code quality across their projects.
A Telegram automation assistant that helps users manage messages, analyze writing style, and publish posts to channels through Claude Code. Ideal for content creators, teams, and anyone seeking to streamline their Telegram workflow.
AgentAsJudge is an agentic evaluation framework that enables AI to systematically assess and compare the quality of multiple-choice questions across educational value, clarity, and answerability. It benefits educators, content creators, and assessment teams looking to automate quality control of exam and quiz questions.
A focused best-practices guide for the SojuStack monorepo (NestJS + Drizzle + Better Auth + TanStack Start) that helps developers maintain idiomatic, type-safe code across full-stack features. Essential for teams working in this specific tech stack.
Automates browser-based testing by logging into an application and iteratively verifying that features work correctly. Useful for QA engineers and developers who need to validate feature functionality across test environments.
A system prompt that establishes a memory-bank framework for AI assistants to maintain project context, track work across development phases, and stay organized through structured file management and state tracking.
