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Provides guided developer tools for requirements, quality, governance, and resilience analysis.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-ai-agent-guidelines" yet — see the docs or source repo.
Based on this project idea, break down the core requirements, boundary conditions, and risks, then produce an actionable technical implementation plan: we want to build a collaborative task management system.
A structured requirements list, key risks, technical approach, and implementation steps.
Review the following code for maintainability, potential defects, and test coverage risks, then provide refactoring suggestions with priorities.
A diagnosis of code issues, testing risks, and prioritized improvement recommendations.
Design a governance and resilience checklist for this service, covering release flow, failure recovery, dependency risks, and operational stability.
An actionable governance checklist, resilience evaluation dimensions, and implementation guidance.
Expose Agent Skills as MCP tools for coding agents to discover and activate instructions.
Securely equips AI agents with executable tools for commands, search, and file operations.
Equip AI agents with persistent skills and secure executable scripting.
Build, debug, and manage software tasks with natural language across LLMs.
Give AI coding agents filesystem, Git, database, and compute tools via MCP.
Publish, author, and reuse AI tools and skills via MCP and REST.