improve-codebase-architecture
Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.
Skill by rengwu
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Install
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
Use cases: documents, frontend
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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-codebase-architecture
What's inside
- Skill 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.
- License
- MIT
- Instructions
- 62 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:
- 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. If neither exists, proceed silently.
## Process
### 1. Explore
Read the project's domain glossary (`CONTEXT.md`) and any ADRs in the area you're touching first, if they exist.
Then walk the codebase — via a read-only exploration subagent if your environment supports spawning one, otherwise directly. 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 uses **Tailwind via CDN** for layout and styling, and **Mermaid via CDN** for diagrams where a graph/flow/sequence reliably communicates the structure. 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:
- **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," 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: "Which of these would you like to explore?"
### 3. Grilling loop
Once the user picks a candidate, interview them relentlessly to walk the design tree — one question at a time, a recommended answer offered with each, decision branches resolved one by one: constraints, dependencies, the shape of the deepened module, what sits behind the seam, what tests survive. Look facts up in the codebase; put the decisions to the user and wait for each answer.
Side effects happen inline as decisions crystallize — apply 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?** Use the `codebase-design` skill's design-it-twice pattern (parallel subagents where the environment supports them, sequential independent designs otherwise).From rengwu/wayfinder-maps, MIT.
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Signals
- Stars
- 143
- Forks
- 5
- Open issues
- 0
- Last commit (this folder)
- Jul 13, 2026 (3 months ago)
- Last release
- Jul 14, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/rengwu/wayfinder-maps
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from rengwu
- 0.676score
to-spec
rengwu
Turn the current conversation into a spec, saved to `.plan/` — no interview, just synthesis of what you've already discussed.
SkillCFreshness: C★ 143Claude Code +9 - 0.672score
writing-great-skills
rengwu
Reference for writing and editing skills well — the vocabulary and principles that make a skill predictable.
SkillCFreshness: C★ 143Claude Code +9 - 0.672score
verify
rengwu
Build, launch and drive wayfinder-maps to verify a change end-to-end (server + headless browser).
SkillCFreshness: C★ 143Claude Code +9 - 0.670score
grill-me
rengwu
A relentless interview to sharpen a plan or design — one question at a time until every branch of the decision tree is resolved.
SkillCFreshness: C★ 143Claude Code +9 - 0.566score
codebase-design
rengwu
Shared vocabulary for designing deep modules.
SkillCFreshness: C★ 143Claude Code +9 - 0.566score
review-code
rengwu
Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes — Standards (does the code follow this repo's documented coding…
SkillCFreshness: C★ 143Claude Code +9
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improve-codebase-architecture skill. Agent Mart. https://agentmart.dev/skills/rengwu-improve-codebase-architecture (last updated 2026-10-24)