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acquire-codebase-knowledge

用于“获取 代码库 知识”的工程工作流。适用于代码库理解与工程规划相关的代码开发、测试、调试、集成与维护任务。

Skill by yhdxx

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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

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About

用于“获取 代码库 知识”的工程工作流。适用于代码库理解与工程规划相关的代码开发、测试、调试、集成与维护任务。

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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
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Secrets
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Install scripts
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Runs as
Python package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/acquire-codebase-knowledge

What's inside

Skill name
acquire-codebase-knowledge
Description
用于“获取 代码库 知识”的工程工作流。适用于代码库理解与工程规划相关的代码开发、测试、调试、集成与维护任务。
License
MIT
Compatibility
Cross-platform. Requires Python 3.8+ and git. Run scripts/scan.py from the target project root.
Metadata
version: 1.3
Instructions
162 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (11)

  • SKILL.md
  • ARCHITECTURE.md · assets/templates/
  • CONCERNS.md · assets/templates/
  • CONVENTIONS.md · assets/templates/
  • INTEGRATIONS.md · assets/templates/
  • STACK.md · assets/templates/
  • STRUCTURE.md · assets/templates/
  • TESTING.md · assets/templates/
  • inquiry-checkpoints.md · references/
  • stack-detection.md · references/
  • scan.py · scripts/

SKILL.md (first lines)

## 中文摘要
用于“获取 代码库 知识”的工程工作流。适用于代码库理解与工程规划相关的代码开发、测试、调试、集成与维护任务。


# Acquire Codebase Knowledge

Produces seven populated documents in `docs/codebase/` covering everything needed to work effectively on the project. Only document what is verifiable from files or terminal output — never infer or assume.

## Output Contract (Required)

Before finishing, all of the following must be true:

1. Exactly these files exist in `docs/codebase/`: `STACK.md`, `STRUCTURE.md`, `ARCHITECTURE.md`, `CONVENTIONS.md`, `INTEGRATIONS.md`, `TESTING.md`, `CONCERNS.md`.
2. Every claim is traceable to source files, config, or terminal output.
3. Unknowns are marked as `[TODO]`; intent-dependent decisions are marked `[ASK USER]`.
4. Every document includes a short "evidence" list with concrete file paths.
5. Final response includes numbered `[ASK USER]` questions and intent-vs-reality divergences.

## Workflow

Copy and track this checklist:

```
- [ ] Phase 1: Run scan, read intent documents
- [ ] Phase 2: Investigate each documentation area
- [ ] Phase 3: Populate all seven docs in docs/codebase/
- [ ] Phase 4: Validate docs, present findings, resolve all [ASK USER] items
```

## Focus Area Mode

If the user supplies a focus area (for example: "architecture only" or "testing and concerns"):

1. Always run Phase 1 in full.
2. Fully complete focus-area documents first.
3. For non-focus documents not yet analyzed, keep required sections present and mark unknowns as `[TODO]`.
4. Still run the Phase 4 validation loop on all seven documents before final output.

### Phase 1: Scan and Read Intent

1. Run the scan script from the target project root:
   ```bash
   python3 "$SKILL_ROOT/scripts/scan.py" --output docs/codebase/.codebase-scan.txt
   ```
   Where `$SKILL_ROOT` is the absolute path to the skill folder. Works on Windows, macOS, and Linux.

   **Quick start:** If you have the path inline:
   ```bash
   python3 /absolute/path/to/skills/acquire-codebase-knowledge/scripts/scan.py --output docs/codebase/.codebase-scan.txt
   ```

2. Search for `PRD`, `TRD`, `README`, `ROADMAP`, `SPEC`, `DESIGN` files and read them.
3. Summarise the stated project intent before reading any source code.

### Phase 2: Investigate

Use the scan output to answer questions for each of the seven templates. Load [`references/inquiry-checkpoints.md`](references/inquiry-checkpoints.md) for the full per-template question list.

If the stack is ambiguous (multiple manifest files, unfamiliar file types, no `package.json`), load [`references/stack-detection.md`](references/stack-detection.md).

### Phase 3: Populate Templates

Copy each template from `assets/templates/` into `docs/codebase/`. Fill in this order:

1. [STACK.md](assets/templates/STACK.md) — language, runtime, frameworks, all dependencies
2. [STRUCTURE.md](assets/templates/STRUCTURE.md) — directory layout, entry points, key files
3. [ARCHITECTURE.md](assets/templates/ARCHITECTURE.md) — layers, patterns, data flow
4. [CONVENTIONS.md](assets/templates/CONVENTIONS.md) — naming, formatting, error handling, imports
5. [INTEGRATIONS.md](assets/templates/INTEGRATIONS.md) — external APIs, databases, auth, monitoring
6. [TESTING.md](assets/templates/TESTING.md) — frameworks, file organization, mocking strategy
7. [CONCERNS.md](assets/templates/CONCERNS.md) — tech debt, bugs, security risks, perf bottlenecks

Use `[TODO]` for anything that cannot be determined from code. Use `[ASK USER]` where the right answer requires team intent.

### Phase 4: Validate, Repair, Verify

Run this mandatory validation loop before finalizing:

1. Validate each doc against `references/inquiry-checkpoints.md`.
2. For each non-trivial claim, confirm at least one evidence reference exists.
3. If any required section is missing or unsupported:
  - Fix the document.
  - Re-run validation.
4. Repeat until all seven docs pass.

Then present a summary of all seven documents, list every `[ASK USER]` item as a numbered question, and highlight any Intent vs. Reality divergences from Phase 1.

Validation pass criteria:

- No unsupported claims.
- No empty required sections.
- Unknowns use `[TODO]` rather than assumptions.
- Team-intent gaps are explicitly marked `[ASK USER]`.

---

## Gotchas

**Monorepos:** Root `package.json` may have no source — check for `workspaces`, `packages/`, or `apps/` directories. Each workspace may have independent dependencies and conventions. Map each sub-package separately.

**Outdated README:** README often describes intended architecture, not the current one. Cross-reference with actual file structure before treating any README claim as fact.

**TypeScript path aliases:** `tsconfig.json` `paths` config means imports like `@/foo` don't map directly to the filesystem. Map aliases to real paths before documenting structure.

**Generated/compiled output:** Never document patterns from `dist/`, `build/`, `generated/`, `.next/`, `out/`, or `__pycache__/`. These are artefacts — document source conventions only.

**`.env.example` reveals required config:** Secrets are never committed. Read `.env.example`, `.env.template`, or `.env.sample` to discover required environment variables.

**`devDependencies` ≠ production stack:** Only `dependencies` (or equivalent, e.g. `[tool.poetry.dependencies]`) runs in production. Document linters, formatters, and test frameworks separately as dev tooling.

**Test TODOs ≠ production debt:** TODOs inside `test/`, `tests/`, `__tests__/`, or `spec/` are coverage gaps, not production technical debt. Separate them in `CONCERNS.md`.

**High-churn files = fragile areas:** Files appearing most in recent git history have the highest modification rate and likely hidden complexity. Always note them in `CONCERNS.md`.

---

## Anti-Patterns

| ❌ Don't | ✅ Do instead |
|---------|--------------|

From yhdxx/NSS-Code, MIT.

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Last commit (this folder)
Aug 7, 2026 (2 months ago)

From GitHub (fetched Oct 24, 2026).

Details

Version
1.3
License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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acquire-codebase-knowledge skill. Agent Mart. https://agentmart.dev/skills/yhdxx-acquire-codebase-knowledge (last updated 2026-10-24)