489 boosters for "mod" — AI-graded, open source, ready to install
ultraplan is a CLI tool that records multi-modal context (audio, screenshots, clipboard, keystrokes) from work sessions and converts them into detailed prompts for Claude analysis. Developers and researchers benefit by capturing complete context from meetings, debugging, or research workflows for later AI-assisted analysis.
Automatically inserts checkpoint calls into jamovi R functions to enable incremental result rendering and change detection during long computations. Useful for jamovi module developers seeking to improve user experience with progress visibility.
mesh-coordinator is an agent designed to orchestrate multi-agent tasks while enforcing library-first development practices. It benefits teams building modular, reusable agent systems who want to avoid code duplication and maintain consistency across projects.
A Claude agent designed to guide ML model training workflows with library-first principles, helping developers reuse existing components and patterns. Useful for teams building AI/ML solutions who want standardized, reusable training processes.
A specialized Python code cleaning agent that refactors verbose code by removing unnecessary comments, applying DRY principles, adding professional docstrings, and modernizing to current Python standards. Ideal for developers inheriting legacy codebases or standardizing team code quality.
An adversarial validation agent that challenges expertise claims and mental models to prevent overconfident reasoning. Useful for researchers, engineers, and decision-makers who need rigorous validation of their assumptions.
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.
An AI-powered code review agent that automatically analyzes code changes for quality, security, and maintainability issues, providing prioritized feedback with specific fixes. Ideal for developers seeking proactive code quality assurance and security vetting in their workflows.
zenfeed-web Cursor Rules provides TypeScript coding standards and best practices for modern web development in Cursor IDE. Developers using TypeScript in web projects benefit from consistent style guidelines covering type systems, naming conventions, and project structure.
A structured three-stage workflow booster for mathematical modeling competitions (CUMCM, MCM/ICM) that guides users through problem analysis, code implementation, and academic paper writing. Ideal for students and professionals tackling mathematical modeling challenges.
CurlsBotSite is a Cursor rules booster for a Next.js haircare ingredient analyzer app, providing project-specific coding standards and architecture guidelines for TypeScript/React development. It benefits developers working on this specific project who need consistent style, testing, and library usage patterns.
Enables Claude to delegate code review, debugging, and alternative implementation exploration to Google Gemini CLI through a JSON bridge script. Useful for developers who want multi-model validation and second opinions on code without manual context switching.
Vespertide enables developers to define database schemas declaratively in JSON and generate type-safe migrations and SQL for Vespertide-based projects. Useful for teams building database-driven applications who need structured schema management with validation.
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.
A Windsurf-specific prompt that establishes best practices for Nix flake configuration, code modularity, and documentation standards. Developers using Windsurf for NixOS home configuration benefit from these structured guidelines.
LangSmith MCP Server is a TypeScript-based Model Context Protocol server that integrates LangSmith's debugging and monitoring capabilities into Claude, enabling developers to track and analyze LLM interactions directly within their development workflow.
Cursor Rules for ABP Framework development that establishes coding standards, naming conventions, and architectural patterns for senior .NET developers building modular ASP.NET Core applications.
Displays current project status for zcc (Claude Code) projects by listing active tickets, available modes, workflows, and configuration. Useful for developers managing zcc-based coding projects who need quick visibility into their project state.
A Cursor rules file that provides best practices guidance for React, TypeScript, and modern web development tools (Zod, React Query, Supabase, Tailwind CSS, React Hook Form). Developers using this tech stack benefit from consistent coding standards and performance optimization patterns.
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.
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.
A TypeScript skill for integrating slimdown-js, a lightweight (~2.8 kB) regex-based Markdown-to-HTML parser, enabling developers to quickly convert Markdown to safe HTML without heavy dependencies on client or server.
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.
