Improve codebase architecture

SkillDev tools

Improve codebase architecture: lets your agent analyse your code and suggest refactors that simplify tangled modules.

Available today. Use it from your connected AI after setup.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Improve codebase architecture skill

About this skill

Find deepening opportunities in a codebase, informed by the domain language in docs/CONTEXT.md and the decisions in docs/adr/. Use when the user wants to improve architecture, find refactoring opportunities, consolidate tightly-coupled modules, or make a codebase more testable and AI-navigable.

What this skill tells your AI

The instructions your AI receives, as published by yamcodes/arkenv in skills/improve-codebase-architecture/SKILL.md and read by ahel’s review.

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.

  • 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 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. The domain language gives names to good seams; ADRs record decisions the skill should not re-litigate.

Process

1. Explore

Read the project's domain glossary 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

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 docs/CONTEXT.md vocabulary for the domain, and LANGUAGE.md vocabulary for the architecture. If docs/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 docs/CONTEXT.md? Add the term to docs/CONTEXT.md - same discipline as /grill-with-docs (see CONTEXT-FORMAT.md). Create the file lazily if it doesn't exist.
  • Sharpening a fuzzy term during the conversation? Update docs/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 ADR-FORMAT.md.
  • Want to explore alternative interfaces for the deepened module? See INTERFACE-DESIGN.md.

Signals

GitHub stars
144
Forks
6
Last commit
Sep 2026
Advanced
Item type
skill
Key
improve-codebase-architecture-yamcodes
Source
github.com/yamcodes/arkenv