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onboard

Detect tech stack, map file structure, and generate a project-specific CLAUDE.md.

10|2|Updated Mar 10, 2026
Search Tags:#automation#onboarding#tech stack#project setup#AI context#codebase analysis
One-click install
npx skills add https://github.com/bugrabilge/bilge-development-kit --skill onboard-bugrabilge
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: onboard
Source: https://github.com/bugrabilge/bilge-development-kit/tree/main/.claude/skills/onboard
Command: npx skills add https://github.com/bugrabilge/bilge-development-kit --skill onboard-bugrabilge

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of making an AI assistant fully aware of a project's technical stack, architecture, and conventions, streamlining the onboarding process.

Core Features & Use Cases

  • Tech Stack Detection: Automatically identifies languages, frameworks, databases, package managers, test runners, linters, and CI/CD tools.
  • Architecture Mapping: Analyzes directory structure to understand project patterns and identify key files.
  • Project-Specific CLAUDE.md Generation: Creates or updates a CLAUDE.md file with tailored project rules and conventions.
  • Memory Bank Initialization: Sets up essential memory files for the AI assistant.
  • Warning Reporting: Highlights potential issues like missing configuration files or security risks.
  • Use Case: When starting with a new codebase, run /onboard to instantly equip your AI assistant with all the necessary context to work effectively on the project.

Quick Start

Run the onboard skill to make your AI assistant project-aware.

Frequently Asked Questions about onboard

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I make an AI assistant aware of my project's tech stack and architecture during onboarding?▼

To make an AI assistant project-aware, you can automate project onboarding by detecting the tech stack, mapping the file structure, and generating a project-specific CLAUDE.md file. This equips the AI with necessary context like languages, frameworks, and conventions.

How do I generate a CLAUDE.md file with project-specific rules and conventions?▼

You generate a CLAUDE.md file by scanning the codebase for manifest files and analyzing directory structures. This process identifies project patterns and summarizes key files to create tailored project rules for the AI assistant.

Can I automatically detect frameworks and package managers when setting up AI context?▼

Yes, automated project onboarding can detect frameworks, databases, package managers, test runners, linters, and CI/CD tools. It identifies these technologies by scanning for manifest files and mapping the project architecture.

What is AI context initialization for a new codebase?▼

AI context initialization is the process of equipping an AI assistant with project knowledge by mapping directory structures, detecting the tech stack, and setting up memory bank files. It ensures the AI understands project conventions before generating code.

Does project onboarding report missing configuration files or security risks?▼

Yes, project onboarding includes warning reporting to highlight potential issues like missing configuration files or security risks. It analyzes the codebase structure and alerts you to these problems during the context generation process.

What is the best way to initialize a memory bank for an AI coding assistant?▼

The best way to initialize a memory bank is to automate the onboarding process, which sets up essential memory files alongside generating a project-specific CLAUDE.md. This captures the tech stack and architecture context needed for effective AI assistance.

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