3,936 boosters for "c" — open source, verified from GitHub, ready to install
This MCP server integrates Dynatrace monitoring and observability capabilities into Claude and Copilot, enabling developers to query application performance data, logs, and metrics directly within AI assistants. It benefits DevOps engineers, SREs, and developers who need real-time access to Dynatrace insights during troubleshooting and development workflows.
This MCP server enables seamless conversion of Figma designs to Flutter code, allowing designers and developers to bridge the gap between design tools and mobile app development. It benefits design teams and Flutter developers looking to automate UI code generation from Figma mockups.
Opik MCP Server enables developers to integrate automated prompt optimization directly into Claude through the Model Context Protocol. It's valuable for teams building AI applications who want to systematically improve and test their prompts.
"name": "motioneyes", "displayName": "MotionEyes", "description": "Agent-first SwiftUI motion observability for debugging animations and scroll behavior with MotionEyes traces.",
17 Google Maps tools for AI agents — geocode, search, directions, weather, air quality, map images via MCP server or standalone CLI
Matchms is a Python library for mass spectrometry data processing, enabling researchers to import spectra from multiple formats, standardize metadata, calculate spectral similarities, and perform metabolomics analysis within Claude Code environments.
ContextWeaver is an MCP server that helps LLMs intelligently manage and weave together contextual information for more coherent responses. It's useful for developers building Claude integrations who need sophisticated context handling across multi-turn conversations.
takeshi-bot is a WhatsApp Copilot instruction set that delegates core logic to an external AGENTS.md file for centralized rule management. It's designed for developers building WhatsApp bots on Copilot who want modular, maintainable prompt architecture.
A Cursor rules booster that guides AI to prefer Bun as the default runtime and build tool over Node.js, npm, and other alternatives, with specific API recommendations. Developers using Bun in their projects benefit from consistent AI suggestions aligned with their tooling preferences.
Automates downloading books from Anna's Archive and uploading them to Google NotebookLM for AI-powered document analysis. Useful for researchers and students who want to create searchable knowledge bases from books.
Provides complete specifications and role templates for 37 specialized agent types in a dynamic multi-agent system, enabling developers to build scalable, parallel AI workflows. Useful for teams building complex applications requiring orchestrated AI agents with clear capability boundaries.
FastAPI Templates provides production-ready project structures with async patterns, dependency injection, and error handling for developers building high-performance APIs. Backend engineers and Python developers benefit from standardized FastAPI scaffolding that accelerates project setup.
Tableau MCP Server enables AI agents to directly access, visualize, and analyze Tableau data within Claude, helping teams explore business intelligence without switching tools. Developers and data analysts benefit from seamless integration of Tableau dashboards and datasets into AI-powered workflows.
cam-run is a webcam-based running game that uses AI to guide player movements in real-time, combining Three.js 3D graphics with MediaPipe pose detection for interactive fitness gaming.
This skill provides comprehensive guidance for all aspects of Playwright test development, from writing new tests to debugging and maintaining existing test suites. Consult these references based on what you're doing:
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.
Empirica is a system prompt that adds epistemic measurement, RAG grounding, and calibration gates to AI agents to reduce hallucinations and improve reliability in code generation workflows. It's designed for developers building AI-native applications who need measurable confidence in agent outputs.
1. Review all changes (both staged and unstaged) 2. Update documentation if appropriate: 3. Stage all relevant changes with
A structured code review workflow that orchestrates specialized AI agents to perform quality, security, performance, and documentation reviews within a 4-hour timeline. Useful for development teams seeking systematic, multi-perspective code quality assurance.
"description": "AI news aggregator that fetches AI industry news from smol.ai RSS and generates structured markdown with intelligent summarization and categorization. Optionally creates beautiful HTML webpages with Apple-style themes.", "name": "geekjourney", "email": "skrphper@gmail.com"
"version": "0.10.0", "description": "AI agents on autopilot - define in markdown, run on cron, CI/CD, or serverless", "license": "Apache-2.0",
Manage bookmarks via Raindrop.io REST API. User must have env var set. If not configured, instruct them to: 1. Create app at https://app.raindrop.io/settings/integrations
The user is asking for a hint. Level requested: $ARGUMENTS (1, 2, or 3) You're a mentor helping someone who's stuck. Don't just dump a hint - have a brief exchange first. Start with a quick check-in:
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.
