improve-codebase-architecture
Skill0 starsChanged 4 months agoMITView on GitHub
Find deepening opportunities in a codebase, informed by the domain language in docs/groundwork/glossary.md and the decisions in docs/groundwork/adr/ (or the current feature's adr/). Use periodically, alongside the main brainstorm/survey/build flow, when the user wants to improve architecture, find refactoring opportunities, consolidate tightly-coupled modules, or make a codebase more testable and AI-navigable.
195 other projects use a version of this, 166 of them edited.
Adopted by
Most recently taken up by
- chrysogonus/power-agentsedited, first seen Nov 8, 2026
- caidanw/skillsedited, first seen Nov 8, 2026
- domengabrovsek/agent-configedited, first seen Nov 8, 2026
- domengabrovsek/claudeedited, first seen Nov 8, 2026
- The-Vibe-Company/quivredited, first seen Nov 8, 2026
- miklschmidt/archboardedited, first seen Nov 8, 2026
Used with
Projects with it also use migrate-to-shoehorn, writing-beats and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
simo97Skillmigrate-to-shoehorn
Migrate test files from `as` type assertions to @total-typescript/shoehorn. Use when user mentions shoehorn, wants to replace `as` in tests, or needs partial test data.
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LesaniSkillwriting-beats
Shape an article as a journey of beats, choose-your-own-adventure style. The user picks a starting beat from the raw material, you write only that beat, then offer options for where to pivot next, beat by beat, until the article reaches a natural end. Use when the user has raw material and wants to assemble it as a narrative rather than an argument.
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simo97Skillrequest-refactor-plan
Use this skill when user wants to create a refactor plan.
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liufeng1976Skillsetup-ts-deep-modules
Wire dependency-cruiser into a TypeScript repo so each package is a deep module — implementation hidden in subfolders, reachable only through its entry-point files. User-invoked.
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FabienDehopreSkilldecision-mapping
Turn a loose idea into a sequenced map of investigation tickets, then drive them to resolution one at a time.
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LesaniSkillwriting-shape
Take a markdown file of raw material and shape it into an article through a conversational session — drafting candidate openings, growing the piece paragraph by paragraph, arguing about format (lists, tables, callouts, quotes) at each step. Use when the user has a pile of notes, fragments, or a rough draft and wants help turning it into something publishable.
Also in 65 projects that use this
- +2 more from simo97
Other versions195 projects use a version of this.
Word for word · 0
None found.
Edited · 166
- mattpocock/skills★ 309k62% same
- danny-avila/LibreChat★ 47k62% same
- LibreChat-AI/LibreChat★ 47k62% same
- QuivrHQ/quivr★ 40k62% same
- The-Vibe-Company/quivr★ 40k62% same
- windmill-labs/windmill★ 18k56% same
- GreyDGL/PentestGPT★ 16k71% same
- humanlayer/humanlayer★ 13k62% same
- sanity-io/sanity★ 6.4k11% same
- ArcReel/ArcReel★ 6.3k62% same
156 more not listed
Wrote their own version · 29
- vinvcn/mattpocock-skills-zh-CN★ 5.5ksame name
- stevesolun/ctx★ 583same name
- devcxl/mattpocock-skills-zh★ 522same name
- drvoss/everything-copilot-cli★ 48same name
- WenWuZhiDao/mattpocock-skills-zh★ 27same name
- aveproject/ave★ 24same name
- Integralist/agent-skills★ 23same name
- narumiruna/skills★ 17same name
- allemaar/open-skills★ 15same name
- spences10/skills★ 15same name
19 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.
The file
We split this skill into the rules it gives an agent
6 rules. 1 is common, 2 are distinctive, and 3 are very specific to this project.
1
Common
Most of the 184 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 19
Use these terms exactly in every suggestion.
- Very specific: line 42
Read docs/groundwork/glossary.md and any ADRs in the area you're touching first - check docs/groundwork/adr/ for system-wide decisions not …
- Common: line 77
Do NOT propose interfaces yet.
- Very specific: line 86
Sharpening a fuzzy term during the conversation?: Update docs/groundwork/glossary.md right there.
- Very specific: line 89
Write it in Nygard format, same as survey:
- Distinctive: line 111
Write everything in the language the conversation has been in.
“Common” is measured: kept by at least 6 in 10 of the 184 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
groundwork: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 is a periodic, standalone check, not a required stop in the brainstorm -> ... -> build -> validate -> code-review chain. Run it whenever the codebase feels like it's accumulating friction, independent of any single feature in flight.
0. Preconditions
Read docs/groundwork/config.json. If it doesn't exist, don't stop - bootstrap it per the "Lazy bootstrap" section of the groundwork setup skill: detect tracker and project type, write the config with defaults, state the assumptions in one line, and continue. Running setup explicitly is only for customizing.
Glossary
Use these terms exactly in every suggestion. Consistent language is the point - don't drift into "component," "service," "API," or "boundary." Full definitions in LANGUAGE.md.
- Module - anything with an interface and an implementation (function, class, package, slice).
- Interface - everything a caller must know to use the module: types, invariants, error modes, ordering, config. Not just the type signature.
- Implementation - the code inside.
- Depth - leverage at the interface: a lot of behavior behind a small interface. Deep = high leverage. Shallow = interface nearly as complex as the implementation.
- Seam - where an interface lives; a place behavior can be altered without editing in place. (Use this, not "boundary.")
- Adapter - a concrete thing satisfying an interface at a seam.
- Leverage - what callers get from depth.
- Locality - what maintainers get from depth: change, bugs, knowledge concentrated in one place.
Key principles (see LANGUAGE.md for the full list):
- Deletion test: imagine deleting the module. If complexity vanishes, it was a pass-through. If complexity reappears across N callers, it was earning its keep.
- The interface is the test surface.
- One adapter = hypothetical seam. Two adapters = real seam.
This skill is informed by the project's domain model. docs/groundwork/glossary.md gives names to good seams; accepted ADRs record decisions the skill should not re-litigate.
Process
1. Explore
Read docs/groundwork/glossary.md and any ADRs in the area you're touching first - check docs/groundwork/adr/ for system-wide decisions not tied to one feature, and the relevant feature's docs/groundwork/features/NNNN-slug/adr/ if the area maps to work already in flight.
Then walk the codebase - through a read-only exploration worker if this runtime has one, directly if not. 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 (the empty "" avoids cmd treating a quoted path as the window title) - 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, before/after call-graph collapse). Each candidate gets a before/after visualization - static side-by-side, not an animation; the report has no interactivity beyond Mermaid's own rendering. Be visual.
For each candidate, the same template as before, but rendered as a card:
- 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 docs/groundwork/glossary.md vocabulary for the domain, and LANGUAGE.md 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.
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. Interview loop
Once the user picks a candidate, drop into a groundwork:interview-loop session. 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:
- Naming a deepened module after a concept not in the glossary? Add or update an entry in
docs/groundwork/glossary.md- a term and the one thing a newcomer must know to use it correctly, same formatsurveyuses. - Sharpening a fuzzy term during the conversation? Update
docs/groundwork/glossary.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.
Write it in Nygard format, same as
survey:# MMMM. Title ## Status Accepted ## Context What forces are at play, including the option(s) considered. ## Decision What was decided. ## Consequences What becomes easier or harder as a result.If the candidate belongs to a feature already in flight, number it into that feature's
docs/groundwork/features/NNNN-slug/adr/, scoped and sequenced the same waysurveydoes. Otherwise - most deepening work isn't tied to a single feature - write it todocs/groundwork/adr/MMMM-title.md(create the directory lazily if it doesn't exist yet), numbered with the same four-digit sequence rule as feature-scoped ADRs but scoped to this directory - starting at0001, next available after that - and sequenced independently of any feature. Either way, ADRs are append-only onceAccepted: a change of mind is a new ADR that supersedes the old one, never an edit to a decided one.- Want to explore alternative interfaces for the deepened module? See INTERFACE-DESIGN.md, which specialises the competing-designs pattern in
../_shared/COMPETING-DESIGNS.md- several candidates produced independently, then ranked by a worker that did not write any of them.
Write everything in the language the conversation has been in. No em dashes in any generated document.
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