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Biblioteka skilli
Programowanie · Przegląd i audyt

architecture

/architecture

Wyszukuje możliwości usprawnienia architektury, płytkie moduły i szwy, konsoliduje ściśle sprzężone moduły i poprawia testowalność kodu.

Licencja
MIT
Ostatnia zmiana repozytorium
26.10.2026

Ocena i bezpieczeństwo

100/ 100Klasa: dobry
Format25 / 25
Frontmatter z nazwą i opisem, poprawna nazwa, opis do 1024 znaków, nazwa zgodna z folderem.
Odkrywalność25 / 25
Opis mówi, kiedy użyć skilla, ma sensowną długość i jest w 3. osobie.
Treść35 / 35
Co najmniej 150 słów i do 500 linii, nagłówki, listy kroków, przykłady albo kod.
Higiena15 / 15
Bez zaślepek typu TODO, bez ścieżek Windows, z licencją.
Ryzykobrak sygnałów w skanie
Pliki w paczce
7
Skrypty
0
Komentarze HTML
0
Adresy URL w SKILL.md
1
Przestarzałość

Brak sygnałów. Repozytorium zmienione 26.10.2026, bez odwołań do wycofanych modeli i API.

Licencja

MIT, otwarta: można używać i zmieniać, z zachowaniem informacji o autorze.

Co robi i kiedy

Wyszukuje możliwości usprawnienia architektury, płytkie moduły i szwy, konsoliduje ściśle sprzężone moduły i poprawia testowalność kodu.

Oryginalny opis (EN)

Use when the user asks to improve architecture, find refactoring opportunities, surface deepening opportunities, consolidate tightly-coupled modules, or make a codebase more testable and AI-navigable. Surfaces shallow modules and hypothetical seams using a precise vocabulary (Module / Interface / Implementation / Depth / Seam / Adapter / Leverage / Locality from LANGUAGE.md).

Jak działa

  1. Glossary
  2. Process
Sekcje z nagłówków SKILL.md, w oryginale · 87 linii, 989 słów
Podgląd SKILL.md
---
name: architecture
description: Use when the user asks to improve architecture, find refactoring opportunities, surface deepening opportunities, consolidate tightly-coupled modules, or make a codebase more testable and AI-navigable. Surfaces shallow modules and hypothetical seams using a precise vocabulary (Module / Interface / Implementation / Depth / Seam / Adapter / Leverage / Locality from LANGUAGE.md).
user-invocable: true
model: inherit
derived-from: mattpocock/skills@90ea8ee
license: MIT
upstream-url: https://github.com/mattpocock/skills/tree/main/improve-codebase-architecture
---

# 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.

## 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](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 behaviour behind a small interface. **Deep** = high leverage. **Shallow** = interface nearly as complex as the implementation.
- **Seam** — where an interface lives; a place behaviour 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](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 — `CONTEXT.md` and any `docs/adr/`. The domain language gives names to good seams; ADRs record decisions the skill should not re-litigate. See [references/CONTEXT-FORMAT.md](./references/CONTEXT-FORMAT.md) and [references/ADR-FORMAT.md](./references/ADR-FORMAT.md).

**When to load [references/domain-model.md](./references/domain-model.md):** before this skill's first pass on a repo with no `CONTEXT.md` yet, or one too thin to name the seams below — run its grilling interview to establish the domain vocabulary first. Skip it once `CONTEXT.md` already reflects the domain.

## Process

### 1. Explore

Read existing documentation first:

- `CONTEXT.md` (or `CONTEXT-MAP.md` + each `CONTEXT.md` in a multi-context repo)
- Relevant ADRs in `docs/adr/` (and any context-scoped `docs/adr/` directories)

If any of these files don't exist, proceed silently — don't flag their absence or suggest creating them upfront.

**Optional pre-pass — export inventory injection (mapper-supported projects only):**

Before dispatching the Explore subagent, read each known entry-point file (e.g. `index.ts`, `src/index.ts`, the main export barrel) and pass its contents to `extractSemanticSlices(filePath, content)` from `scripts/lib/language-mappers/index.mjs`. The signature is `(filePath, content, options?)` — the second argument is the raw file text, **not** an options object, and there is no slice-kind filter parameter. It resolves to an array of `SemanticSlice` records (`{ kind, name, exported, … }`); keep the ones with `exported === true`, format them as structured context, and inject that into the Explore subagent prompt. This gives the subagent an immediate map of the codebase's public surface without requiring it to grep manually.

```
## Export inventory (auto-generated)
- src/lib/foo.ts: exports `createFoo`, `FooConfig`, `FooError`
- src/lib/bar.ts: exports `processBar`
```

This pre-pass is OPTIONAL — only activate when the entry-point file is mapper-supported (`.ts`, `.tsx`, `.js`, `.jsx`, `.mjs`, `.cjs`, `.md`, `.mdx`, `.swift`, `.py` — the `EXT_TO_LANG` map in `index.mjs` is the source of truth). For any other extension `extractSemanticSlices` **throws** rather than returning an empty array, so wrap the call in a try/catch and skip the pre-pass silently on failure. Never block Explore dispatch on a mapper error.

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

Present a numbered list of deepening opportunities. For each candidate:

- **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 also in how tests would improve

**Use CONTEXT.md vocabulary for the domain, and [LANGUAGE.md](LANGUAGE.md) 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 (e.g. _"contradicts ADR-0007 — but worth reopening because…"_). Don't list every theoretical refactor an ADR forbids.

Do NOT propose interfaces yet. Ask the user: "Which of these would you like to explore?"

### 3. Grilling loop

Once the user picks a candidate, drop into a grilling conversation. 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 `CONTEXT.md`?** Add the term to `CONTEXT.md` — same discipline as the domain-model grilling reference (see [references/CONTEXT-FORMAT.md](./references/CONTEXT-FORMAT.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. See [references/ADR-FORMAT.md](./references/ADR-FORMAT.md).
- **Want to explore alternative interfaces for the deepened module?** See [INTERFACE-DESIGN.md](INTERFACE-DESIGN.md).
Pliki w paczce (7)
  • DEEPENING.md 3 KB
  • INTERFACE-DESIGN.md 3 KB
  • LANGUAGE.md 4 KB
  • SKILL.md 7 KB
  • references/ADR-FORMAT.md 3 KB
  • references/CONTEXT-FORMAT.md 3 KB
  • references/domain-model.md 4 KB

Wersje

RepozytoriumWynikLicencja
Ta strona · Kanevry/session-orchestrator100MIT
jikig-ai/soleur100Apache-2.0
Come-In-Labs/agent-skills100MIT
dedujeong/gemba100Apache-2.0
workbench-soft/agent-skills100MIT
boshu2/agentops100Apache-2.0
mcouthon/agents100MIT
FrancoStino/opencode-skills-collection100MIT
Reprograme/redevkit100MIT

Migawka bazy z 13.11.2026 · wersja paczki ad2ffddbf0b6 (skrót SHA-256 całej paczki)

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Uwagi i zgłoszenia

Wiadomość trafi do Bartosza Sokolińskiego. Adres e-mail jest potrzebny tylko do odpowiedzi. Szczegóły w polityce prywatności.