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improve-codebase-architecture

Scan a codebase for deepening opportunities and present an HTML report.

Skill by terebentina

IndexedMIT
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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.

npx agentmarket install skill/terebentina-improve-codebase-architecture

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About

Scan a codebase for deepening opportunities and present an HTML report. Use only when the user asks for an architecture review.

Use cases: documents, frontend

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Permissions

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

Tools
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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/improve-codebase-architecture

What's inside

Skill name
improve-codebase-architecture
Description
Scan a codebase for deepening opportunities and present an HTML report. Use only when the user asks for an architecture review.
License
MIT
Instructions
69 lines in SKILL.md · view on GitHub

Files (3)

  • HTML-REPORT.md
  • SKILL.md
  • openai.yaml · agents/

SKILL.md (first lines)

# Improve codebase architecture

Surface architectural friction and propose **deepening opportunities** that turn shallow modules into deep ones. The aim is testability and fewer modules to trace for one concept.

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

**Scope before you scan. YAGNI.** Deepening a module pays off by making future changes to it easier, so put extra weight on the parts of the codebase that have recently changed. Decide *where* to look before you look:

- If the user named a module, subsystem, or pain point, start there and skip the inference below.
- Otherwise, inspect a useful stretch of commit history with `git log --oneline`. Start with the files and areas that change often. Widen the search if the history has no clear hot spot.

Read the project's domain glossary (`CONTEXT.md`) and any ADRs in the area you're touching first.

Then use the available subagent tool to start an exploration subagent. Ask it to note where it experiences friction:

- Where does understanding one concept require bouncing between many small modules?
- Where are modules **shallow**, with an 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 operating system's temporary directory so nothing lands in the repo. Resolve the directory from `$TMPDIR`, with `/tmp` as the Unix fallback and `%TEMP%` as the Windows fallback. Use `<tmpdir>/architecture-review-<timestamp>.html` so each run creates a new file.

Open the report with `xdg-open <path>` on Linux, `open <path>` on macOS, or `start <path>` on Windows. Tell the user its absolute path.

Use **Tailwind via CDN** for layout and styling. Use **Mermaid via CDN** for call graphs, dependency graphs, and sequences. Use custom CSS or SVG for mass diagrams, cross-sections, and collapse animations. Give each candidate a **before/after visualisation**.

For each candidate, render a card with:

- **Files.** Which files/modules are involved
- **Problem.** Why the current architecture is causing friction
- **Solution.** Plain English description of what would change
- **Benefits.** Explained in terms of locality and leverage, and how tests would improve
- **Before / After diagram.** Side-by-side, custom-drawn, illustrating the shallowness and the deepening
- **Recommendation strength.** One of `Strong`, `Worth exploring`, `Speculative`, rendered as a badge

End the report with a **Top recommendation** 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" or "the Order service".

**ADR conflicts.** Include a candidate that contradicts an ADR only when observed friction justifies reconsidering the decision. Mark the conflict in a warning callout and name the evidence. Do not list theoretical refactors that 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: "Which of these would you like to explore?"

### 3. Planning loop

Once the user picks a candidate, run the `lets-plan-code` skill to explore its constraints, dependencies, module shape, seam, and surviving tests.

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.

From terebentina/skills, MIT.

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Last commit (this folder)
Aug 29, 2026 (2 months ago)

From GitHub (fetched Oct 24, 2026).

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

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improve-codebase-architecture skill. Agent Mart. https://agentmart.dev/skills/terebentina-improve-codebase-architecture (last updated 2026-10-24)