improve-codebase-architecture
Skill1 starsChanged 54 days agoMITView on GitHub
Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.
We split this skill into the rules it gives an agent
4 rules. 1 is common, 1 is distinctive, and 2 are very specific to this project.
1
Common
Most of the 175 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 22
If the user named a direction — a module, a subsystem, a pain point — take it, and skip the inference below.
- Very specific: line 25
Read the project's domain glossary (CONTEXT.md) and any ADRs in the area you're touching first.
- Common: line 60
Do NOT propose interfaces yet.
- Very specific: line 69
Sharpening a fuzzy term during the conversation?: Update CONTEXT.md right there.
“Common” is measured: kept by at least 6 in 10 of the 175 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
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-designskill 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.mdgives names to good seams; ADRs indocs/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 direction — a module, a subsystem, a pain point — take it, and skip the inference below.
- Otherwise, walk back a good stretch of the commit history (
git log --oneline) to find the codebase's hot spots — the files and areas that keep coming up — and let those paths pull your attention first. If the changes are scattered with no clear hot spot, widen the net.
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 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 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, run the /grilling skill 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 — 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 toCONTEXT.md. Create the file lazily if it doesn't exist. - Sharpening a fuzzy term during the conversation? Update
CONTEXT.mdright 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-designskill and use its design-it-twice parallel sub-agent pattern.
Other versions208 projects use a version of this.
Word for word · 23
- loulanyue/skills★ 231100% same
- julianromli/faiz-skills★ 16100% same
- gordon1210/reposcout★ 4100% same
- ManuelAngel99/fissionplane★ 4100% same
- xgentic/agentic-component-manifest★ 4100% same
- GAGAA-HUE/ASHUO-claude-skills★ 3100% same
- 47thtechcorner/RayCodes_Mattpocock_Skills★ 2100% same
- Adhamxon/claude-code-skills★ 2100% same
- x-metheus/clawchat-plugin-connect★ 2100% same
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13 more not listed
Edited · 148
- mattpocock/skills★ 309k90% same
- danny-avila/LibreChat★ 47k99% same
- LibreChat-AI/LibreChat★ 47k99% same
- QuivrHQ/quivr★ 40k94% same
- windmill-labs/windmill★ 18k95% same
- GreyDGL/PentestGPT★ 16k99% same
- humanlayer/humanlayer★ 13k100% same
- ArcReel/ArcReel★ 6k90% same
- vinvcn/mattpocock-skills-zh-CN★ 5.5k10% same
- withcoral/coral★ 4.9k90% same
138 more not listed
Wrote their own version · 37
- sanity-io/sanity★ 6.4ksame name
- openstatusHQ/data-table-filters★ 2.3ksame name
- stevesolun/ctx★ 583same name
- devcxl/mattpocock-skills-zh★ 522same name
- drvoss/everything-copilot-cli★ 49same name
- WenWuZhiDao/mattpocock-skills-zh★ 27same name
- aveproject/ave★ 24same name
- narumiruna/skills★ 17same name
- allemaar/open-skills★ 15same name
- spences10/skills★ 15same name
27 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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In this repository19 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- address-pr-feedbackSkill
- codebase-auditSkill
- code-reviewSkill
- create-issueSkill
- create-prSkill
- delivery-waitSkill
- domain-modelingSkill
- git-workflowSkill
- grillingSkill
- grill-with-docsSkill
- implement-ideaSkill
- implement-issueSkill
- native-nostalgia-stackSkill
- project-structureSkill
- roadmap-reviewSkill
- software-engineering-excellenceSkill
- update-prSkill
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