What problem does it solve? Setting up AI agent context for a new or existing project is repetitive and error-prone: you must detect the tech stack, find relevant skills, configure MCP servers, and write project documentation. This Skill automates that entire bootstrap process in a guided workflow. ## Core Features & Use Cases - Stack Analysis & Setup Modes: Detects existing projects via package.json, composer.json, go.mod, and similar files, or interactively guides new projects through stack selection with recommendations. - Skill Acquisition with Security Scanning: Searches skills.sh for relevant skills, installs them, and runs a two-level prompt-injection security scan before trusting any external skill; falls back to generating custom skills when none exist. - Artifact Generation: Creates .ai-factory/DESCRIPTION.md, config.yaml, rules/base.md, AGENTS.md, and MCP configuration in .cursor/mcp.json, with full UI/artifact language localization support. - Use Case: You clone a NestJS Telegram bot repository and run the setup command. The Skill detects TypeScript, NestJS, Telegraf, and Prisma, installs matching skills, configures the Postgres MCP server, and generates AGENTS.md and DESCRIPTION.md reflecting the actual codebase. ## Quick Start Ask the agent to set up AI context for this project by analyzing the tech stack, installing relevant skills, and generating the project documentation.