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explore-codebase

Identifies a repository's purpose, stack, layout, entry point, build/test commands, and recent git activity.

Updated Dec 21, 2018
Search Tags:#onboarding#codebase#build system#git history#entry point#stack detection#repository mapping
One-click install
npx skills add https://github.com/dhnt/dhnt --skill explore-codebase-dhnt
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: explore-codebase
Source: https://github.com/dhnt/dhnt/tree/main/catalog/md/discover/explore-codebase
Command: npx skills add https://github.com/dhnt/dhnt --skill explore-codebase-dhnt

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It reduces the time and uncertainty of onboarding to an unfamiliar repository by guiding you to quickly determine what the project is, how it is structured, and where execution starts.

Core Features & Use Cases

  • Repository orientation: quickly captures the project’s purpose and intended audience by reading the main documentation.
  • Agent onboarding leverage: finds and prioritizes agent-specific instructions from files like AGENTS.md / CLAUDE.md or an .agents directory.
  • Practical stack and execution discovery: maps the tech stack from manifests, identifies build/test commands, and traces the real entry point by following execution flow from the likely startup files.
  • Contribution-awareness: surfaces where active work happens and flags open questions by skimming recent git history.

Quick Start

Ask an AI to explore the repository and return the project stack, build/test commands, top-level layout, entry point, recent activity themes, and remaining open questions.

Frequently Asked Questions about explore-codebase

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

FAQPage Schema
How do I quickly understand an unfamiliar codebase before making changes?▼

To understand an unfamiliar codebase, scan the README and agent onboarding docs to identify the project purpose, map the tech stack from manifest files, and trace the true execution entry point from startup files.

What is the best way to find the execution entry point in a complex repository?▼

Finding the execution entry point involves tracing the execution flow from probable startup files. This identifies where the software actually runs and where you should begin extending the codebase.

How do I extract build and test commands from a project's tooling?▼

Extracting build and test commands requires detecting languages via manifest files and scanning the tooling configuration. This reveals the exact commands needed to build, run, and test the project.

Can I use this approach to onboard an AI agent to a repository?▼

Yes, agent onboarding leverages specific instructions from files like AGENTS.md or CLAUDE.md. This provides the AI with a correct mental model of the repository layout and execution flow.

How do I check recent git history to understand where active work happens?▼

Checking recent git history involves skimming recent commits to summarize activity themes. This surfaces active development areas and flags open questions without over-reading the repository.

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