478 boosters — AI-graded, open source, ready to install
A specialized browser automation expert that leverages Playwright for comprehensive cross-browser testing, UI interaction automation, and visual regression testing across Chrome, Firefox, and Safari. Ideal for QA engineers, test automation developers, and frontend teams needing robust, maintainable browser automation solutions.
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.
A multi-agent orchestration system that designs team compositions, manages shared context, and resolves conflicts to drive complex development tasks toward completion. Ideal for teams needing coordinated AI agents across multiple phases of development workflows.
Creates GitHub issues for the astro-basics project with CLI commands, team assignments, and labels. Useful for teams managing Astro component development, but heavily project-specific.
This booster guides developers through implementing five specialized AI agent personas (composer, arranger, theory assistant, jam session, audio engineer) with tailored tool access and knowledge bases for music creation tasks. It benefits music software developers and AI engineers building multi-agent musical systems.
A DevOps agent specialized in managing GCP infrastructure, Docker operations, and system troubleshooting—ideal for teams handling cloud deployments and containerized applications. Developers and DevOps engineers benefit from automated infrastructure management and debugging capabilities.
MRF is a security-hardened metaprompting framework designed to protect AI agents from prompt injection attacks while enabling structured decision-making. It benefits developers building production agents on Claude platforms who need robust input sanitization and instruction clarity.
A Python code implementation agent that writes clean, tested code following project patterns and quality standards during the Code phase of development. Useful for developers who want AI assistance converting failing tests into passing implementations while maintaining architectural consistency.
A specialized quantitative finance agent that builds financial models, backtests trading strategies, and analyzes market data with professional-grade risk metrics and portfolio optimization. Ideal for traders, quant developers, and financial engineers building algorithmic trading systems.
FORGE Framework DevOps specialist agent that handles infrastructure, deployment, monitoring, and operational concerns with awareness of Claude model capabilities and MCP server integrations. Ideal for teams managing cloud infrastructure, CI/CD pipelines, and DevOps automation workflows.
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 comprehensive guide for orchestrating specialized Claude Code sub-agents through Flow queues to automate complex, multi-phase workflows. Developers building sophisticated AI automation systems will benefit from learning these agent coordination patterns.
A Git history analysis specialist agent that uncovers why code exists and how it evolved by examining commits, blame annotations, and development patterns. Developers benefit by quickly understanding architectural decisions and past implementation attempts without manually digging through git logs.
A specialized backend development assistant that helps engineers implement, review, optimize, and migrate code across Node.js, Python, Go, and Java ecosystems with production-ready patterns and best practices. Ideal for backend developers working on microservices, APIs, and enterprise applications who need expert guidance on framework selection and performance optimization.
A production-grade specialist for designing and implementing multi-agent systems with orchestration, coordination, and workflow management. Ideal for developers building complex distributed agent architectures.
Elite Ruby development specialist that proactively optimizes code, suggests refactoring, and enforces Rails patterns and metaprogramming best practices. Ideal for Ruby/Rails developers seeking production-grade code quality and performance improvements.
A QA specialist agent that enforces comprehensive testing without mocks, orchestrating browser automation and coverage validation across projects. Developers building quality-critical applications benefit from systematic test enforcement and multi-agent coordination.
A deployment orchestration agent that automates code shipping to dev/beta/production environments with non-blocking operations and parallel execution guarantees. Useful for teams automating CI/CD workflows and seeking efficient, safe multi-environment deployments.
A lightweight operations agent for developers to quickly execute server management, QA automation, and git workflows using Claude's Haiku model. Ideal for teams automating repetitive DevOps and CI/CD tasks.
Heuristic scoring (no AI key configured).
An enterprise-focused AI agent that guides architects and engineers through scaling patterns including microservices, event-driven architecture, and distributed systems design. Ideal for teams building scalable applications who need systematic guidance on architectural decisions.
A PRD/requirements engineering agent that transforms business epics into actionable, testable specifications with early UI evidence (prototypes/screenshots) to prevent rework. Ideal for product managers, requirements engineers, and development teams avoiding specification-to-implementation misalignment.
A QA validation agent that runs pre-commit CI/CD checks (route conflicts, orphaned test imports, build validation) to catch GitHub Actions failures locally before code is committed. Ideal for teams using Next.js/Python backends who want to reduce CI failures and iteration cycles.
A versatile AI agent that provides expert guidance across data engineering, machine learning, MLOps, and generative AI workflows—ideal for developers building production ML systems, data pipelines, and AI applications.
