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explain-codebase

Explains unfamiliar codebases by tracing entry points, data flows, and key abstractions.

96|8|Updated Aug 13, 2026
Search Tags:#architecture#onboarding#data flow#codebase#code explanation#repository analysis#entry point
One-click install
npx skills add https://github.com/pingfanfan/hello-dsh --skill explain-codebase-pingfanfan
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: explain-codebase
Source: https://github.com/pingfanfan/hello-dsh/tree/main/examples/skills/explain-codebase
Command: npx skills add https://github.com/pingfanfan/hello-dsh --skill explain-codebase-pingfanfan

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? When joining a new project or reviewing an unfamiliar repository, reading every directory wastes time and rarely produces actionable understanding. This Skill produces an architecture explanation focused on what you need to actually modify the code, not a directory listing. ## Core Features & Use Cases - Structured Explanation Order: Covers problem statement, entry points, one complete data flow, load-bearing abstractions, and external dependencies in a fixed sequence. - Evidence-Grounded Analysis: Prioritizes README, entry files, tests, dependency manifests, and git history over reading every source file. - Honest Uncertainty Marking: Clearly separates confirmed findings from inferences instead of fabricating explanations. - Use Case: Before adding a feature to an unfamiliar repository, ask for a walkthrough and receive an answer to "where do I change code to add feature X" with concrete file paths and a data-flow diagram. ## Quick Start Explain this repository so I know where to make changes to add a new feature.

Frequently Asked Questions about explain-codebase

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

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

Start from the entry point rather than the directory tree, then trace one typical operation end to end through each layer. Identify the 3-5 abstractions that are widely referenced, define extension patterns, or hold core state.

What should I read first when exploring a new repository?▼

Read the README and architecture docs first, then the entry file such as package.json bin/main or the main function. Tests serve as accurate usage documentation, and dependency manifests reveal framework conventions.

How do I explain a codebase architecture to someone?▼

Explain in this order: what problem it solves, where the entry point is, one complete data flow, the key abstractions, and external dependencies. Give concrete file paths and mark anything you inferred rather than confirmed.

Should I read every file to understand a project?▼

No. Reading every file is impractical for large projects and unnecessary for small ones. Directory names, entry files, tests, and recent git history reveal the active areas and design intent far more efficiently.

What are the limits of automated codebase explanation?▼

Explanations based on READMEs can be outdated, and inferred design intent may be wrong without reading the actual code paths. A good explanation explicitly flags unverified assumptions instead of presenting guesses as facts.

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