286 boosters for "patterns" — AI-graded, open source, ready to install
JellyRock Developer Guide provides mandatory agent rules, architecture documentation, and development patterns for building and maintaining a Jellyfin client on Roku devices using BrighterScript and Roku Scene Graph. Developers building or contributing to JellyRock will benefit from clear guidelines on navigation, state management, and best practices.
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.
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.
An agent that helps developers design and manage API versioning strategies using library-first principles and reusable patterns. Teams building multi-version APIs benefit from structured guidance on compatibility and migration planning.
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.
A DevOps agent that orchestrates software releases across projects using library-first patterns and reusable components. Developers and DevOps engineers benefit from automated, consistent release workflows.
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.
An agent that optimizes AutoML workflows by enforcing library-first development practices, enabling reuse of ML components and patterns across Claude projects.
An agent that generates architecture diagrams by leveraging Claude's code execution capabilities and a library-first approach to reuse existing components and patterns. Useful for developers and architects who need to quickly create system architecture visualizations.
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.
A coding agent that enforces library-first development by searching existing components and patterns before building new code, helping teams reuse and standardize implementations across projects.
A topology-optimizer agent that enforces library-first development practices by checking existing components and patterns before generating new code. Useful for teams implementing reusable, standardized agent workflows across projects.
An agent for architectural system design tasks that enforces library-first development by checking existing components and patterns before generating new code. Developers building systems within Claude environments benefit from consistent, reusable architecture patterns.
An ethics-focused agent designed for research tasks that enforces library-first development patterns and component reuse across Claude projects.
A technical-debt-manager agent that helps teams identify, track, and manage technical debt across projects using library-first principles and reusable patterns. Developers working in Claude Code or Claude Desktop environments benefit from automated technical debt assessment and refactoring guidance.
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.
A planner agent that helps decompose and execute multi-step agent tasks by enforcing library-first development practices and reuse patterns. Useful for teams building complex agent workflows who want to avoid duplicating code across projects.
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.
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.
