662 boosters — open source, verified from GitHub, ready to install
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 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 specialized Python code cleaning agent that refactors verbose code by removing unnecessary comments, applying DRY principles, adding professional docstrings, and modernizing to current Python standards. Ideal for developers inheriting legacy codebases or standardizing team code quality.
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.
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.
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 pseudocode agent designed to help with agent-related tasks by enforcing library-first development practices and component reuse across projects. Beneficial for teams seeking to standardize code generation and reduce duplication.
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.
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.
A risk-manager agent designed to assist with financial risk assessment and management tasks across Claude Code and Claude Desktop platforms. Useful for finance teams and developers building risk analysis workflows.
An ethics-focused agent designed for research tasks that enforces library-first development patterns and component reuse across Claude projects.
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.
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 Claude agent specialist designed to assist with stakeholder communication tasks across enterprise projects. Helps teams manage and streamline interactions with multiple stakeholders using library-first patterns and reusable components.
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.
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.
Docs & Links automates documentation consistency checks, Markdown linting, and link validation to keep repository documentation in sync with actual code. Teams managing multiple projects benefit from automated enforcement of documentation quality standards.
Goals is a Rust-based agentic CLI that enables Claude to delegate isolated tasks to subagents via the `invoke_subagent` tool, keeping the main agent's context lean and focused. Developers building multi-step AI workflows benefit from cleaner task decomposition and reliable single-request subagent execution.
Skill-Based Agents provides documentation for 6 autonomous agent skills (archon-manager, framework-orchestrator, multi-agent-architect, codex-review-workflow, design-system-architect, security-architect) that handle strategic coordination, orchestration, and governance across projects. Developers building multi-agent systems or requiring automated governance workflows benefit from understanding these reusable agent patterns.
Identifies and audits dead code and unused exports in your codebase using Knip, helping developers clean up technical debt. Useful for any TypeScript/JavaScript project seeking to maintain code quality and reduce bundle size.
Autarch Agent System is a multi-agent architecture that orchestrates AI workflows across scoping, research, planning, execution, and review stages, enabling developers to leverage AI for structured, traceable code generation and codebase analysis at scale.
The API Agent designs, implements, and manages APIs with best practices for consistency, scalability, and developer experience. Backend developers and API architects benefit from automated API lifecycle management and specification generation.
The Data Agent is a specialized assistant that handles database operations, data modeling, schema design, and quality assurance across projects. It benefits developers, data engineers, and architects who need expert guidance on data management workflows and optimization.
