1,081 boosters for "ci" — AI-graded, open source, ready to install
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 code audit specialist agent that enforces library-first development by checking existing components and patterns before writing new code, helping teams reduce duplication and maintain consistency across projects.
An agent specialized in Apache Spark engineering tasks, equipped with code reading, writing, and execution capabilities for data processing workflows. Useful for developers building and debugging Spark applications across Claude-powered platforms.
A Claude agent designed to assist with product management tasks by leveraging library components and established patterns. Useful for product managers and teams seeking AI-assisted analysis, planning, and decision-making workflows.
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.
Cursor Rules for FastLED WASM provides critical development guidelines enforcing `uv` for Python execution and safe emoji handling to ensure consistent builds and cross-platform compatibility. Developers working on the FastLED web compiler project benefit from clear, actionable rules that prevent common errors.
An agent that streamlines GitHub-based CI/CD operations by enforcing library-first development practices and providing direct access to file manipulation and bash execution tools. Teams managing multi-project infrastructure benefit from its reusable approach to DevOps automation.
Teaches the functional options pattern for designing flexible Go APIs with optional configuration, helping developers build clean, extensible constructors that scale as requirements grow.
A Claude agent specialized in market research tasks that operates under library-first constraints to reuse and adapt existing components. Useful for business analysts and product teams needing automated market analysis capabilities.
An agent designed to manage AI/ML experiment tracking workflows with library-first architecture patterns. Useful for teams standardizing experiment management across projects while enforcing code reuse.
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.
Boris is a master orchestrator agent that coordinates Claude Code workflows by delegating to specialists, managing verification loops, and ensuring quality output. It's ideal for developers who want a structured, systematic approach to complex software projects.
A security-focused agent that manages secrets and sensitive data across projects by enforcing library-first patterns and reusable components. Developers working with Claude Code and Claude Desktop benefit from standardized secret handling and compliance workflows.
A workflow automation agent that leverages library-first principles to reuse and adapt existing components for agent tasks across Claude Code and Desktop platforms. Developers building multi-step automation solutions benefit from its structured approach to code reuse and pattern compliance.
The apache-camel-integrator agent helps developers integrate Apache Camel-based enterprise integration patterns into their projects by enforcing library-first constraints and reusing existing components. It benefits teams building microservices and event-driven architectures who need standardized integration 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.
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.
Nekzus Npm Sentinel MCP provides AI-powered real-time security and dependency analysis for NPM packages, helping developers identify vulnerabilities and manage package risks efficiently.
A FastAPI-based MCP server that connects Copilot to lead generation APIs while enforcing clean architecture and SOLID principles for maintainable prospect prospecting workflows. Ideal for developers building AI-assisted B2B sales tools.
A specialized skill that generates high-quality, AI-aesthetic-aware hero images for technical articles by analyzing content and applying one of 25 non-generic visual styles. Useful for technical writers, documentation teams, and content creators seeking professional article imagery without generic AI appearance.
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.
Agentic MCP enables AI assistants to interact with MCP servers through socket-based communication, allowing discovery and execution of external tools with progressive disclosure. Developers and AI builders benefit by gaining structured access to MCP server capabilities without manual integration.
Enables Claude Code to generate manga and illustration images using ComfyUI with local scripts, supporting character-specific routes like Riko alongside general manga styles. Useful for developers building AI art generation workflows without external API dependencies.
A self-learning system for Cursor that automatically captures code corrections and patterns, then syncs them into reusable skills and project rules. Developers benefit by reducing repetitive feedback and building a personalized knowledge base that improves over time.
