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project-pilot-ai-agents
The primary goal is to transform a simple project brief into a fully structured SDD by coordinating multiple specialized AI agents. The core architecture relies on Agentic Retrieval-Augmented Generation (RAG) and Model Context Protocol (MCP) principles, orchestrated by LangGraph and powered by LangChain.
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Python
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InstallMCPRun via uvx (Python)
Universal installANY TOOL
$ npx skillcity@latest williamntlam/project-pilot-ai-agentsAuto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Or install manually
uvx project-pilot-ai-agents
MCP Configuration
Add this to your claude_desktop_config.json
{
"mcpServers": {
"project-pilot-ai-agents": {
"command": "uvx",
"args": [
"project-pilot-ai-agents"
]
}
}
}Loading README…
Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
project-pilot-ai-agents — sandboxAI sandbox
Pick a quick prompt below or type your own — watch the agent execute this skill step by step.
guest@skillcity:~$Try a prompt