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explain-codebaselisted

Onboard to an unfamiliar codebase by mapping its architecture, entry points, and data flow. Use when starting work in a new or unknown repository and you need a navigable mental model fast.
KhaledSaeed18/dotclaude · ★ 0 · AI & Automation · score 75
Install: claude install-skill KhaledSaeed18/dotclaude
Build a navigable map of this repository so the reader can find their way around and start contributing. Work from evidence in the repo, not assumptions about the stack. ## Orient first - Identify the project type and stack from manifests and config (e.g. `package.json`, `pyproject.toml`, `go.mod`, `Cargo.toml`, `pom.xml`, `Gemfile`, Dockerfiles, CI config). Note the build, test, and run commands. - Read the README, docs, and any `CONTRIBUTING` or architecture notes before reading code, but verify their claims against the tree rather than trusting them blindly. - Get the shape of the tree: the top-level directories and what each is responsible for. ## Map the architecture - Find the **entry points**: CLI mains, server bootstraps, route registrations, scheduled jobs, queue consumers, lambda/handler exports, UI roots. List them with `file:line`. - Identify the **layers / modules** and how they depend on each other (e.g. interface → service/domain → data access → external integrations). Note the boundaries that matter. - Locate cross-cutting concerns: config/env loading, auth, logging, error handling, database/connection setup, feature flags. ## Trace the data flow - Pick one or two representative operations (or whatever the user asked to focus on) and follow them end to end: input → validation → core logic → persistence/external calls → response. - Show each path as a short sequence of `file:line` hops the reader can click through. - Call out where state lives (databases,