Scan a project's structure and generate a .md file of its AI-context.
npx skills add https://github.com/howdycarter/Mothership --skill onboard-howdycarter
Please help me install this Agent Skill. Skill: onboard Source: https://github.com/howdycarter/Mothership/tree/main/.claude/skills/onboard Command: npx skills add https://github.com/howdycarter/Mothership --skill onboard-howdycarter
Scans a project to generate a concise, AI-friendly codebase document that captures stack, structure, conventions, and dependencies for context.
Run onboard with your project path to generate .mothership/codebase.md.
High-intent search queries and answers about installing and using this skill.
To generate AI-ready documentation, you scan your project structure to produce a codebase.md file. This file captures your stack, conventions, and dependencies into a concise markdown snapshot for AI agents to consume.
Onboarding an AI agent involves generating a structured markdown snapshot of your codebase. By scanning package.json and tsconfig.json, you can map routing and component patterns into a readable document for AI context.
Yes, you can automatically document project structure and conventions. The scanning process detects directories, identifies your framework and language, and extracts deployment hints to output a comprehensive codebase document.
The generated codebase documentation applies to diverse stacks and project layouts. It maps your specific routing and component patterns to produce a structured markdown file that accurately reflects your unique project structure.
You create a codebase.md file by running a project scan with your designated path. The scan reads your configuration files and outputs the structured markdown document into a .mothership directory for AI consumption.
A limitation of scanning a codebase to identify dependencies is that the generated markdown snapshot is a static representation. It captures the project state at the time of the scan and requires re-running to reflect subsequent codebase changes.
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