454 boosters for "mod" — open source, verified from GitHub, ready to install
Coordinate heterogeneous AI teams: one creates, two review from different angles. Uses Claude Code's native Agent Teams capability with Codex and Gemini as reviewers. Different AI models have fundamentally different review tendencies. They don't just find different bugs — they look at completely dif
Smart PRD generation with deterministic operations handled by . AI handles judgment (questions, content, decisions); script handles mechanics. Activate when user says: PRD, product requirements, taskmaster, task-driven development.
"name": "claudetop", "description": "htop for your Claude Code sessions — real-time cost tracking, cache efficiency, model comparison, smart alerts, web dashboard, and session analytics", "name": "Lior Weinstein",
A Cursor IDE rules file that enforces Python coding standards (PEP 8, Black formatting, Google-style docstrings) for geohash module development. Useful for Python developers using Cursor who want consistent code style enforcement.
Analyzes ANY input to find, improve, or create the right skill. Start with least privilege (, , , , ). Only add higher-risk tools when explicitly required:
Cursor Rules booster provides guidelines for writing efficient form modules in 1C:Enterprise, focusing on client-server interaction patterns and compilation directives. Developers working with form-based UI in 1C will benefit from these performance and architecture best practices.
Bilibili Mcp Js is an MCP server that enables AI models to search and retrieve Bilibili videos, anime, and trending content directly through Claude. Developers building AI applications can use this to integrate Chinese video platform functionality without manual API calls.
Build Android applications following Google's official architecture guidance, as demonstrated in the NowInAndroid reference app. → Read modularization.md for project structure → Create feature module with and submodules
Heuristic scoring (no AI key configured).
An MCP server that enables Claude to execute MySQL database operations directly, allowing AI assistants to query, insert, and manage database records. Useful for developers integrating Claude with MySQL-backed applications and data 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
A system integration booster that merges and validates outputs from multiple AI modes into production-ready systems with consistency checks and modular architecture. Useful for developers building complex, multi-component applications.
Extract and formalize domain terminology into a consistent glossary. 1. Scans conversation for domain-relevant nouns, verbs, and concepts 2. Identifies ambiguities, synonyms, and overloaded terms
"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",
An MCP server that integrates Claude with the Hevy fitness tracking app, enabling AI-powered workout analysis, progress tracking, and fitness insights. Ideal for fitness enthusiasts and developers building AI-assisted health applications.
Matchms is a Python library for mass spectrometry data processing, enabling researchers to load, standardize, and analyze spectral data from multiple formats (mzML, MGF, MSP) with similarity matching for metabolomics and compound identification workflows.
This MCP server bridges AI assistants with Linear project management via GraphQL, enabling Claude and Cursor users to query and manage Linear projects directly through natural language. It's essential for teams using Linear who want AI-assisted workflow automation and issue management.
<summary >🌐 Language</summary> <div align="center"> <a href="https://openaitx.github.io/view.html?user=wshobson&project=agents&lang=en">English</a>
This MCP server bridges n8n workflow automation with Claude by providing programmatic access to workflows, executions, and credentials through the Model Context Protocol. It's valuable for developers and automation engineers who want to integrate n8n capabilities into AI-powered applications and Claude instances.
This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV scripts with PEP 723 format, dataset preparation and validation, hardware selection, cost estimation, Trackio monitoring, Hub authentication, and model persistence. Should be invoked for tasks involving cloud GPU training, GGUF conversion, or when users mention training on Hugging Face Jobs without local GPU setup.
A practical guide to Supervised Fine-Tuning using SFTTrainer and Unsloth optimizations, enabling developers to efficiently adapt pre-trained LLMs for instruction-following with 2x faster training. Ideal for ML engineers building custom instruction-tuned models and reasoning systems.
A practical guide for deploying serverless Python applications on Modal, enabling developers to run GPU-accelerated AI/ML workloads, web APIs, and batch jobs with minimal infrastructure configuration.
Leta is a semantic code navigation booster that replaces manual file searching and ripgrep with fast LSP-powered commands for exploring code structure, finding symbols, and understanding dependencies. It benefits developers working with unfamiliar codebases, refactoring projects, and fixing type errors by dramatically speeding up code comprehension tasks.
