4,075 boosters for "c" — open source, verified from GitHub, ready to install
Extracts and summarizes YouTube video transcripts into structured notes with key learnings and actionable suggestions. Useful for researchers, students, and content consumers who want quick, clean summaries without manual transcription.
A specialized system prompt that guides AI agents to select and use the correct MCP tools (code search, file operations, bash) for specific development tasks, reducing wasted effort and improving workflow efficiency. Developers using Claude Code, Cursor, Windsurf, or similar platforms benefit from clearer tool-selection guidance.
An MCP server enabling AI agents to communicate, delegate tasks, and maintain diagnostic visibility throughout execution lifecycles. Developers building multi-agent systems and orchestration platforms benefit from streamlined agent coordination.
Windsurf Rules for herolauncher establishes coding standards and project organization guidelines for pure Go projects, helping developers maintain consistent structure with automated linting and compilation. It benefits Go teams using the Windsurf IDE who want standardized package organization, command-line tooling patterns, and automated code quality enforcement.
A performance analysis booster that helps developers identify and optimize code bottlenecks using AI-assisted code review. Useful for developers seeking to improve application efficiency and runtime performance.
A Multi-cloud pricing comparison MCP server that enables Claude to compare costs across AWS, Azure, GCP, and OCI platforms. Cloud architects, FinOps teams, and DevOps engineers use this to optimize cloud spending decisions.
The Strategic Queen Agent is a high-level orchestration agent that coordinates complex multi-agent workflows and enterprise decision-making across distributed systems. It benefits platform engineers and DevOps teams managing large-scale agent-based architectures who need centralized control and monitoring.
An ML engineer agent that handles end-to-end production ML workflows including model serving, feature engineering, A/B testing, and monitoring for TensorFlow/PyTorch deployments. Ideal for teams building scalable ML systems who need guidance on MLOps best practices and production readiness.
Pipeshub MCP Server is a local Model Context Protocol server that integrates Pipeshub's functionality with Claude Desktop and Claude Code, enabling developers to access pipeline and API management tools directly within their AI coding environment.
The Pensieve MCP Server enables Claude to examine and retrieve stored memories using vector search (Qdrant), making it ideal for developers building AI applications that need persistent, searchable memory across conversations.
"id": "ai.nocturnus/logic-server", "name": "Logic Server", "description": "Agent reasoning, memory, and token-optimized context for AI applications.",
A specialized agent that provides advanced statistical analysis, data visualization, and predictive modeling capabilities for teams needing comprehensive data insights. Ideal for data scientists, business analysts, and development teams integrating data analysis workflows into larger systems.
A Cursor rules configuration that enforces npm best practices, specifically requiring exact version pinning and lockfile usage to ensure reproducible builds across development environments.
A Model Context Protocol server that brings comprehensive Zig language intelligence to Claude, including diagnostics, code completion, and go-to-definition via ZLS. Ideal for Zig developers using Claude Code who need IDE-like features for the Zig language.
Teaches Claude when to use gabb_structure and gabb_symbol tools for efficient code exploration and navigation in supported languages. Developers working with large codebases benefit from optimized search strategies that reduce unnecessary file reads.
Total Recall preserves Claude Code session context before resets or token limits, enabling seamless context restoration across interruptions. Developers working on complex, long-running projects benefit most from avoiding context loss and rework.
Wrap Session guides AI coding assistants through systematically documenting and preserving session context before ending work, ideal for maintaining continuity across interrupted coding sessions and memory management.
A Model Context Protocol server for the Screeps game platform, enabling AI assistants to interact with Screeps APIs and game mechanics. Useful for developers automating Screeps gameplay and integrating AI-assisted scripting workflows.
A Python package implementing the Hivemind Protocol, a decentralized ranked choice voting system with IPFS storage and Bitcoin cryptographic verification. Developers building decentralized governance or voting systems will benefit from this ready-made implementation.
Cursor Rules provides TypeScript/Next.js 14+ development guidelines focused on service layer architecture, server actions, and error handling best practices. Developers building Next.js projects benefit from clear patterns for organizing business logic and maintaining clean separation of concerns.
A Copilot prompt booster that provides Laravel-specific coding guidelines and best practices for developers working with Laravel v12 and its ecosystem packages, helping them maintain consistency and follow framework conventions.
This booster integrates Pi (an external coding agent) with Claude Code, enabling developers to compare task execution across two AI systems and toggle between them. It's useful for teams wanting to benchmark or hybrid-test different AI coding approaches.
A comprehensive system prompt and structural guide for building production-ready GenAI applications with clear rules, templates, and best practices across multiple AI platforms. Developers building AI agents and structured LLM applications benefit from its emphasis on proper configuration, testing, and code standards.
An MCP server that integrates Azure DevOps with AI models, enabling automation and context-aware operations on DevOps projects, repositories, and workflows. Beneficial for development teams using Azure DevOps who want AI-powered automation and assistance.
