2,013 boosters for "ai" — AI-graded, open source, ready to install
tdd-london-swarm is an agent that enforces test-driven development practices with a library-first constraint, helping teams reuse existing components and patterns before writing new code. It benefits development teams adopting TDD methodologies who want to maintain code consistency and reduce duplication.
This booster teaches AI assistants how to build vvvv gamma editor extensions, covering file naming conventions, command registration, window types, and API access patterns. It's essential for developers creating custom editor plugins and automation tools in the vvvv visual programming environment.
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.
adaptive-coordinator is an orchestration agent that coordinates multi-agent tasks while adhering to library-first development principles, helping teams reuse existing components and patterns. It benefits developers building complex agent workflows who want to avoid code duplication and maintain consistency across projects.
An agent that automates end-to-end testing tasks with library-first constraints, helping teams execute comprehensive test scenarios while reusing existing components and patterns. Useful for QA engineers and developers integrating testing into their Claude-powered workflows.
A Backstage developer portal agent that provides code reading, writing, and bash execution capabilities with library-first constraints. Best suited for teams using Backstage who need automated portal task management within Claude environments.
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.
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.
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.
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.
An agent that audits codebases for technical debt by enforcing library-first development practices and checking against existing components and patterns. Useful for teams managing code quality and reducing duplication across projects.
A Claude agent configured for neural-network and platform tasks with library-first development constraints and standardized operating procedures. Useful for developers building agent-based workflows who need structured governance and component reuse patterns.
Heuristic scoring (no AI key configured).
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.
The sync-coordinator agent manages synchronization tasks across Claude platforms with library-first constraints, enabling teams to maintain consistent code patterns and reusable components. It benefits developers building multi-project integrations who need centralized sync coordination.
An agent designed to evaluate other agents and tasks, with library-first constraints and multi-tool integration across Claude platforms. Useful for teams building quality assurance workflows into their Claude-based systems.
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.
A data steward agent that enforces library-first development practices by checking component catalogs and patterns before implementing solutions. It helps teams maintain code reuse and consistency across projects.
An MCP server that integrates Okta identity and access management APIs into Claude, enabling developers to programmatically manage users, groups, and authentication workflows directly from their AI assistant.
An AI-powered code review agent that automatically analyzes code changes for quality, security, and maintainability issues, providing prioritized feedback with specific fixes. Ideal for developers seeking proactive code quality assurance and security vetting in their workflows.
A React Native mobile development agent that enforces library-first practices by checking component catalogs and patterns before writing code. Useful for teams wanting to standardize code reuse and maintain consistency across React Native projects.
safla-neural is an agent designed to enforce library-first development practices by checking existing components and patterns before writing new code. It helps teams reuse code and maintain consistency across projects.
sparc-coordinator is an agent designed to enforce library-first development practices by checking existing components and patterns before writing new code. It benefits teams seeking to reduce 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.
