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improve-architecture

Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.

Skill by nash403

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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

Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.

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.

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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/improve-architecture

What's inside

Skill name
improve-architecture
Description
Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.
License
MIT
Instructions
56 lines in SKILL.md · view on GitHub

Files (2)

  • HTML-REPORT.md
  • SKILL.md

SKILL.md (first lines)

# 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:

- `designing-deep-modules` holds the architecture vocabulary and its principles (the deletion test, "the interface is the test surface", "one adapter = hypothetical seam, two = real"). Use its terms exactly in every suggestion.
- The project's glossary (often `GLOSSARY.md`) gives names to good seams; its ADRs (often in `docs/adr/`) record decisions this command should not re-litigate. Find where the project keeps them in the committed files, then the project context. Project documents such as `CODING_STYLE.md` or `CONTRIBUTING.md` may be relevant as well.

## 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 direction (a module, a subsystem, a pain point), take it, and skip the inference below.
- Otherwise, find the hot spots, the files that keep changing, and let those paths pull your attention first: `git log --since=6.months --format= --name-only | sort | uniq -c | sort -rn | head -30`. If the changes are scattered with no clear hot spot, widen the net.

Read the project's domain glossary and any ADRs in the area you're touching first.

Then spawn a sub-agent to walk the codebase, starting from the code map if the project has one. 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**, 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 one self-contained HTML file following [HTML-REPORT.md](HTML-REPORT.md) to the OS temp directory, so nothing lands in the repo, as `architecture-review-<timestamp>.html` so each run gets a fresh file. Write it in the language the user asks for, else English. Open it for the user and tell them the absolute path.

Each candidate gets a card with a before/after diagram; the report ends with the top recommendation.

**Name things with the glossary's vocabulary for the domain and the deep-module vocabulary for the architecture.** If the glossary 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.

Do NOT propose interfaces yet. After the file is written, ask the user: "Which of these would you like to explore?"

### 3. Grilling loop

Once the user picks a candidate, use `grilling` to walk the decision 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:

- **New or sharpened domain terms**: keep the glossary current with `domain-modeling`.
- **The code map turned out wrong** about an area you explored: offer to fix it.
- **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?** Use the design-it-twice pattern from `designing-deep-modules`.

When the design is settled, offer the next step: implement it now, `handoff` or turn it into a spec or tickets.

From nash403/skills, MIT.

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Last commit (this folder)
Oct 24, 2026 (7 days ago)
Last release
Oct 22, 2026 (8 days ago)

From GitHub (fetched Oct 24, 2026).

Details

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

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improve-architecture skill. Agent Mart. https://agentmart.dev/skills/nash403-improve-architecture (last updated 2026-10-24)