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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 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.
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.
skill-auditor is an expert reviewer that evaluates SKILL.md files against Claude Code Skills best practices, helping developers ensure their skills meet structural and effectiveness standards. It's essential for skill creators and maintainers who want to validate compliance before publishing.
PrismBench enables developers to create specialized LLM agents through YAML configuration for comprehensive benchmarking and evaluation of language model capabilities. Teams building AI evaluation systems and ML testing pipelines benefit from its systematic Monte Carlo Tree Search approach and containerized deployment.
QA agent that generates pytest tests and improves test coverage for da_vinci packages, helping developers ensure code quality and reduce manual testing effort.
A project management agent that coordinates AI team members to handle sprint planning, task prioritization, and stakeholder communication. Useful for teams looking to automate PM workflows with AI agents.
Project: platform-agents is a production deployment initiative for an OSSA v0.3.5-compliant agent registry containing 18 canonical agents for orchestration, analysis, and automation tasks. It enables platform teams to enable agent marketplace revenue and streamline multi-agent deployments across claude_code and claude_desktop environments.
An expert agent for penetration testing and vulnerability assessment that helps security professionals conduct authorized red team operations and identify security weaknesses. Ideal for security engineers, penetration testers, and organizations needing structured ethical hacking guidance.
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 Terminal UI specialist agent that builds responsive, interactive command-line interfaces using crossterm for direct terminal control, keyboard handling, and real-time rendering. Ideal for developers creating CLI tools, interactive applications, or terminal-based dashboards that need professional UI/UX.
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 PRD specialist agent that analyzes codebases for patterns and creates comprehensive product requirement documents with structured workflows. Ideal for product managers and engineers who need to quickly generate detailed feature specifications grounded in existing architecture.
A production-grade cryptography expert agent that provides guidance on secure communication, key management, and cryptographic system design. Developers and security engineers use it to understand and implement cryptographic protocols and algorithms correctly.
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.
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 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.
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.
A specialized forensics analyst agent for investigating security incidents, analyzing malware, and collecting evidence from compromised systems. Ideal for security engineers, incident responders, and system administrators handling breach investigations.
c-pro is a C programming expert agent that helps developers write efficient, secure code with proper memory management, pointer handling, and system-level operations for embedded systems and performance-critical applications.
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 production-grade technical writer agent that automates API documentation, user guides, tutorials, and code examples with enterprise-level reliability. Ideal for development teams needing consistent, high-quality technical documentation at scale.
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.
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.