Scan software projects and generate a codebase.md file for AI agents.
npx skills add https://github.com/chriscarterux/Mothership --skill onboard-chriscarterux
Please help me install this Agent Skill. Skill: onboard Source: https://github.com/chriscarterux/Mothership/tree/main/.claude/skills/onboard Command: npx skills add https://github.com/chriscarterux/Mothership --skill onboard-chriscarterux
This Skill automates the process of understanding a software project's structure, stack, and conventions, providing essential context for AI agents.
.mothership/codebase.md file summarizing the project for AI consumption.Use the onboard skill to scan the current project directory and generate codebase context.
High-intent search queries and answers about installing and using this skill.
To generate AI documentation for a codebase, scan the project directory to identify its technology stack and architectural patterns. This process produces a codebase.md file detailing frameworks, database schemas, and API patterns required for AI-driven development.
Codebase context generation is the process of scanning software projects to extract architectural conventions and directory structures. It works by analyzing project files to automatically summarize framework choices, deployment configurations, and environment variables into a markdown file.
Yes, you can use project scanning to identify architectural patterns and coding conventions. The scan analyzes project files and directories to detect key technologies, API structures, and environment variables, summarizing them for AI consumption.
The best way to provide project context for AI agents is to scan the legacy codebase to map its directory structure and dependencies. This generates a comprehensive markdown overview detailing the stack, database, and coding conventions.
Yes, project scanning automatically detects framework and database details. It analyzes the project structure to extract essential deployment configurations, language specifications, and environment variables directly from the codebase files.
A generated codebase.md file includes the framework, language, database, deployment setup, directory structure, API patterns, and environment variables. This provides comprehensive architectural context for AI agents to execute development tasks.
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