improve-codebase-architecture
Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.
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- 저장소
- modelstudioai/OpenAgentPack
- 최근 소스 활동
- 2026년 7월 15일 14:53
- 감지된 SKILL.md 언어
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- 스타
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SKILL.md
소스 지침 · 읽기 전용 미리보기- name
- improve-codebase-architecture
- description
- Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.
- disable-model-invocation
- true
# Improve Codebase Architecture
Surface architectural friction and propose **deepening opportunities** — refactors that turn shallow modules into deep ones. The aim is testability and AI-navigability.
This command is _informed_ by the project's domain model and built on a shared design vocabulary:
- Run the `/codebase-design` skill for the architecture vocabulary (**module**, **interface**, **depth**, **seam**, **adapter**, **leverage**, **locality**) and its principles (the deletion test, "the interface is the test surface", "one adapter = hypothetical seam, two = real"). Use these terms exactly in every suggestion — don't drift into "component," "service," "API," or "boundary."
- The domain language in `CONTEXT.md` gives names to good seams; ADRs in `docs/adr/` record decisions this command should not re-litigate.
## Process
### 1. Explore
Read the project's domain glossary (`CONTEXT.md`) and any ADRs in the area you're touching first.
Then use the Agent tool with `subagent_type=Explore` to walk the codebase. Don't follow rigid heuristics — explore organically and note where you experience friction:
- Where does understanding one concept require bouncing between many small modules?
- Where are modules **shallow** — interface nearly as complex as the implementation?
- Where have pure functions been extracted just for testability, but the real bugs hide in how they're called (no **locality**)?
- Where do tightly-coupled modules leak across their seams?
- Which parts of the codebase are untested, or hard to test through their current interface?
Apply the **deletion test** to anything you suspect is shallow: would deleting it concentrate complexity, or just move it? A "yes, concentrates" is the signal you want.
### 2. Present candidates as an HTML report
Write a self-contained HTML file to the OS temp directory so nothing lands in the repo. Resolve the temp dir from `$TMPDIR`, falling back to `/tmp` (or `%TEMP%` on Windows), and write to `<tmpdir>/architecture-review-<timestamp>.html` so each run gets a fresh file. Open it for the user — `xdg-open <path>` on Linux, `open <path>` on macOS, `start <path>` on Windows — and tell them the absolute path.
The report must be reliable in mainland China networks:
- **Do not use Tailwind's runtime CDN** (`cdn.tailwindcss.com`) or other foreign styling CDNs. Inline the CSS needed by the report, even if the class names are Tailwind-like.
- Use **Simplified Chinese for all visible report prose by default**, unless the user explicitly asks for another language. Keep code identifiers, file paths, package names, and architecture vocabulary terms readable; translate surrounding explanation.
- Mermaid is optional and must use a China-accessible CDN first (`https://cdn.bootcdn.net/ajax/libs/mermaid/<version>/mermaid.min.js`) with an npm mirror fallback (`https://registry.npmmirror.com/mermaid/<version>/files/dist/mermaid.min.js`). If Mermaid might not load, make the report still readable with hand-built diagrams or clear fallback content.
Mix Mermaid with hand-crafted CSS/SVG visuals — use Mermaid when relationships are graph-shaped (call graphs, dependencies, sequences), and hand-built divs/SVG when you want something more editorial (mass diagrams, cross-sections, collapse animations). Each candidate gets a **before/after visualisation**. Be visual.
For each candidate, render a card with:
- **文件** — which files/modules are involved
- **问题** — why the current architecture is causing friction
- **方案** — plain description of what would change
- **收益** — explained in terms of locality and leverage, and how tests would improve
- **当前 / 深化后 diagram** — side-by-side, custom-drawn, illustrating the shallowness and the deepening
- **推荐强度** — one of `强烈推荐`, `值得探索`, `推测性`, rendered as a badge
End the report with a **首要建议** section: which candidate you'd tackle first and why.
**Use CONTEXT.md vocabulary for the domain, and the `/codebase-design` vocabulary for the architecture.** If `CONTEXT.md` defines "Order," talk about "the Order intake module" — not "the FooBarHandler," and not "the Order service."
**ADR conflicts**: if a candidate contradicts an existing ADR, only surface it when the friction is real enough to warrant revisiting the ADR. Mark it clearly in the card (e.g. a warning callout: _"contradicts ADR-0007 — but worth reopening because…"_). Don't list every theoretical refactor an ADR forbids.
See [HTML-REPORT.md](HTML-REPORT.md) for the full HTML scaffold, diagram patterns, and styling guidance.
Do NOT propose interfaces yet. After the file is written, ask the user in Chinese by default: "你想先深入哪一个?"
### 3. Grilling loop
Once the user picks a candidate, run the `/grilling` skill to walk the design tree with them — constraints, dependencies, the shape of the deepened module, what sits behind the seam, what tests survive.
Side effects happen inline as decisions crystallize — run the `/domain-modeling` skill to keep the domain model current as you go:
- **Naming a deepened module after a concept not in `CONTEXT.md`?** Add the term to `CONTEXT.md`. Create the file lazily if it doesn't exist.
- **Sharpening a fuzzy term during the conversation?** Update `CONTEXT.md` right there.
- **User rejects the candidate with a load-bearing reason?** Offer an ADR, framed as: _"Want me to record this as an ADR so future architecture reviews don't re-suggest it?"_ Only offer when the reason would actually be needed by a future explorer to avoid re-suggesting the same thing — skip ephemeral reasons ("not worth it right now") and self-evident ones.
- **Want to explore alternative interfaces for the deepened module?** Run the `/codebase-design` skill and use its design-it-twice parallel sub-agent pattern.
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