443 boosters — AI-graded, open source, ready to install
visual-storyteller transforms data and concepts into compelling visual narratives, infographics, and presentations. Ideal for marketers, product teams, and communicators who need to engage stakeholders through compelling visual content.
Expert mobile development agent specializing in React Native New Architecture, Expo SDK 52+, native iOS/Android development, and mobile-first optimization. MUST BE USED automatically for any mobile development, React Native work, or cross-platform implementation.
Editor is an AI writing coach that transforms rough drafts into polished content by optimizing clarity, readability, and voice consistency. Ideal for content creators, marketers, and developers who need to elevate their written output.
Finance Tracker is an AI agent that manages studio budgets, optimizes costs, forecasts revenue, and analyzes financial performance metrics to maximize resource ROI. It benefits finance teams, studio managers, and project leads who need data-driven financial insights.
Tool-evaluator is an agent that rapidly assesses development tools, frameworks, and services through structured benchmarking and comparative analysis to support informed technology adoption decisions. It benefits engineering teams and tech leads evaluating new solutions aligned with studio goals.
Brand Guardian is an AI agent that helps teams establish and maintain consistent brand identity across all touchpoints, from visual guidelines to design systems and asset management. It benefits designers, product managers, and marketing teams who need to scale brand consistency across multiple platforms and projects.
AGENTS.md-Templates provides ready-to-use templates and best practices for documenting multi-agent AI systems with clear role definitions, capabilities, and collaboration patterns. Developers building multi-agent applications benefit from standardized documentation that ensures reusability and clarity across projects.
Automates synchronization of custom Ollama models across distributed Vera AI clusters using YAML configuration and templating. Benefits DevOps engineers and teams managing multi-instance LLM deployments who need centralized model management.
A debate judge agent that objectively evaluates arguments using zero-sum scoring across Toulmin structure, evidence strength, and logical rigor. Ideal for researchers, educators, and developers building computational debate systems.
Use this agent for real-time social media engagement, trending topic leverage, and viral tweet creation. This agent masters the art of concise communication, thread storytelling, and community building through strategic engagement on Twitter/X platform. @base-config.yml
The plan-generator transforms high-level product requirements into executable project blueprints (genesis.xml files) with structured task DAGs and agent assignments. It's invaluable for cofounders and product teams who need to bridge strategic vision with concrete execution plans.
A collection of 48 specialized AI subagents for Claude Code that automate domain-specific development tasks like backend architecture, frontend development, and DevOps. Developers benefit from having expert agents pre-configured for different roles, reducing context-switching and improving productivity across the full software development lifecycle.
The MCP TypeScript SDK enables developers to build and integrate Model Context Protocol servers and clients, allowing applications to provide standardized context to LLMs. It's essential for developers building AI-powered applications that need to expose resources, tools, and prompts in a protocol-compliant way.
A coordinator agent that handles high-level project decisions, priorities, and delegation across specialized team members for monorepo package management. Ideal for project leads managing complex multi-agent workflows who need strategic oversight without hands-on implementation.
A comprehensive guide to customizing Orxa agents across three methods—configuration overrides, YAML files, and custom agent creation—enabling developers to adapt agents to specific workflow needs. Ideal for teams using Claude Code or Claude Desktop who need flexible, governance-focused agent customization.
The MCP TypeScript SDK is a comprehensive toolkit for building and integrating Model Context Protocol servers and clients in TypeScript applications. Developers building AI-powered tools, Claude integrations, or context-aware LLM applications benefit from its standardized approach to managing resources, tools, and prompts.
Use this agent when you need to quickly locate relevant files across a large codebase. Particularly useful when beginning work on features spanning multiple directories, searching for files, debugging sessions requiring understanding file relationships, exploring project structure, or before making changes that might affect multiple parts of the codebase.
A production-ready Python development agent that enforces PEP 8 standards, type hints, design patterns, and security best practices across projects. Developers building Python applications benefit from automated guidance on code quality and maintainability.
A QA-focused agent that creates comprehensive test suites, identifies edge cases, and ensures code quality through systematic testing methodologies. Developers and QA engineers benefit from automated test strategy development and validation across different testing levels.
PrismBench: A comprehensive framework for evaluating Large Language Model capabilities through Monte Carlo Tree Search. Systematically maps model strengths, automatically discovers challenging concept combinations, and provides detailed performance analysis with containerized deployment and OpenAI-compatible API support.
A QA Engineer agent that creates and validates comprehensive test suites with structured coverage analysis, prioritized test case identification, and enforced quality gates. Developers and QA teams benefit from automated test scaffolding and coverage verification across projects.
PrismBench enables developers to create specialized LLM agents through YAML configuration for systematic evaluation of model capabilities using Monte Carlo Tree Search. Useful for ML engineers, researchers, and teams building production LLM systems who need comprehensive benchmarking and evaluation frameworks.
The ops agent automates infrastructure management, deployment, and cloud operations for DevOps teams. Developers and DevOps engineers use it to streamline CI/CD pipelines, monitor systems, and maintain production reliability.
A code review agent that validates TypeScript projects against internal conventions, including vendor encapsulation, test patterns, and permission decorators. Useful for teams maintaining strict code quality standards across AWS Lambda and infrastructure projects.
