Improve Codebase Architecture
Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through the chosen refactor with the user.
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Why it matters
Rescue codebases from complexity and entropy by systematically analyzing architecture, identifying design problems, and refactoring modules to be simpler and more maintainable.
Outcomes
What it gets done
Analyze codebase structure to identify modules that have become too complex or tightly coupled
Quiz developers about which modules are being touched and why before making changes
Refactor code to create deep modules with simple interfaces and high functionality
Document architectural decisions and establish shared language to prevent future entropy
Install
Add it to your toolbox
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/ag-improve-codebase-architecture | bash Overview
Improve Codebase Architecture
Scans a codebase for deepening opportunities using the codebase-design vocabulary, presents them as a visual HTML report, then walks the chosen refactor through the grilling interview. Use when a codebase needs a visual architecture review identifying shallow modules, followed by a structured design conversation on the chosen refactor.
What it does
Improve Codebase Architecture surfaces architectural friction and proposes "deepening opportunities" - refactors that turn shallow modules (interface nearly as complex as the implementation) into deep ones, aimed at testability and AI-navigability. It is built on the /codebase-design skill's shared vocabulary - module, interface, depth, seam, adapter, leverage, locality - and its principles, including the deletion test (would deleting a piece concentrate complexity elsewhere, or just move it?) and "one adapter is a hypothetical seam, two is a real one." It uses these exact terms in every suggestion rather than drifting into generic words like "component" or "service."
When to use - and when NOT to
Use it when the request matches scanning a codebase for deepening opportunities and presenting them visually before discussing any one in depth. It is informed by the project's actual domain model and existing decisions - it reads CONTEXT.md and relevant ADRs in docs/adr/ first and will not re-litigate decisions already recorded there, only surfacing an ADR conflict when the friction is real enough to genuinely warrant reopening it.
Inputs and outputs
Exploration uses the Agent tool's Explore subagent type to walk the codebase organically - not against rigid heuristics - looking for concepts requiring bouncing between many small modules, shallow interfaces, pure functions extracted for testability while real bugs hide in their call sites (a locality failure), and untested or hard-to-test seams. Findings are written as a self-contained HTML file to the OS temp directory (never the repo), at <tmpdir>/architecture-review-<timestamp>.html, opened automatically (xdg-open/open/start per OS) using Tailwind and Mermaid via CDN plus hand-crafted CSS/SVG for editorial visuals. Each candidate renders as a card: affected files, the problem, the plain-English solution, benefits framed in terms of locality and leverage, a before/after diagram, and a recommendation-strength badge (Strong, Worth exploring, Speculative), with a CONTEXT.md-named domain concept ("the Order intake module," not "FooBarHandler") throughout. The report ends with a top recommendation and a question - it deliberately does not propose actual interfaces yet.
<tmpdir>/architecture-review-<timestamp>.html
Integrations
Once the user picks a candidate, it hands off to the /grilling skill to walk the design tree (constraints, dependencies, the deepened module's shape, what sits behind the seam, which tests survive), while /domain-modeling keeps CONTEXT.md current inline - adding newly-named concepts, sharpening fuzzy terms as they're resolved, and offering to record a rejected candidate as an ADR only when the rejection reason would genuinely help a future architecture review avoid re-suggesting it. Exploring alternative interfaces for the chosen module can invoke /codebase-design's "design-it-twice" parallel sub-agent pattern.
Who it's for
Engineers and teams who want a visual, before/after-illustrated architecture review that identifies where a codebase is shallow rather than deep, then walks the chosen refactor through a structured design conversation that keeps the project's glossary and decision log current as it happens.
Source README
Improve Codebase Architecture
When to Use
Use when this workflow matches the user request: Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.
Source: mattpocock/skills (MIT).
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
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 becauseโฆ"). 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 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 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.
Limitations
- Requires the upstream tool, account, API key, or local setup when the workflow names one.
- Does not authorize destructive, production, paid, or external-message actions without explicit user approval.
- Validate generated artifacts or recommendations against the user's real sources before treating them as final.
FAQ
Common questions
Discussion
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