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solid-principles

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Apply the SOLID principles as design diagnostics, detecting god classes, fragile hierarchies, fat interfaces, and hard-wired dependencies, and prescribing the smallest structural fix rather than imposing ceremony. Use when designing a new module or class, reviewing object-oriented code, or untangling a class that keeps changing for unrelated reasons.

Repository
dotclaude ↗
Licence
MIT
Last repository change
25.10.2026

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90/ 100Class: good
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Frontmatter with name and description, valid name, description up to 1,024 characters, name matching the folder.
Discoverability25 / 25
Description explains when to use the skill, has a reasonable length and uses third person.
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No signals detected. Repository changed on 25.10.2026, without references to retired models or APIs.

Licence

MIT, open: use and modify while retaining author attribution.

What it does and when to use it

Apply the SOLID principles as design diagnostics, detecting god classes, fragile hierarchies, fat interfaces, and hard-wired dependencies, and prescribing the smallest structural fix rather than imposing ceremony. Use when designing a new module or class, reviewing object-oriented code, or untangling a class that keeps changing for unrelated reasons.

Original author description

Apply the SOLID principles as design diagnostics, detecting god classes, fragile hierarchies, fat interfaces, and hard-wired dependencies, and prescribing the smallest structural fix rather than imposing ceremony. Use when designing a new module or class, reviewing object-oriented code, or untangling a class that keeps changing for unrelated reasons.

How it works

  1. Step 1: Find the change pressure
  2. Step 2: Diagnose against each principle
  3. Step 3: Prescribe proportionately
Original SKILL.md headings · 49 lines, 791 words
SKILL.md preview
---
name: solid-principles
description: Apply the SOLID principles as design diagnostics, detecting god classes, fragile hierarchies, fat interfaces, and hard-wired dependencies, and prescribing the smallest structural fix rather than imposing ceremony. Use when designing a new module or class, reviewing object-oriented code, or untangling a class that keeps changing for unrelated reasons.
---

Use SOLID to diagnose, not to decorate. Each principle names a specific way designs rot under change; the skill is recognizing the rot early and making the smallest cut that stops it. The failure mode of SOLID is applying it as ceremony - an interface for every class, a factory for every constructor - which produces the same unmaintainability it was meant to prevent, with more files. Every abstraction this skill recommends must be justified by a change pressure that actually exists in this codebase, not one imagined.

## Step 1: Find the change pressure

Before judging any structure, learn what actually changes here:

- `git log --oneline --follow` on the files in question: what has forced edits, and do unrelated reasons keep touching the same file?
- Where have bugs clustered? A class that breaks every time a neighbour changes is telling you where the coupling is.
- What does the team add regularly (new payment providers, new report types, new integrations)? That axis deserves an extension point; axes that never vary do not.

SOLID violations only matter along axes that change. A "god class" that has been stable for two years is a lower priority than a small class edited weekly by three features.

## Step 2: Diagnose against each principle

For each, the smell, the test, and the minimal fix - in the codebase's own idiom (modules and functions count; none of this requires classes).

**S - Single responsibility.** A unit should have one reason to change.
- *Smell:* commits touch the same file for unrelated features; the class name contains "Manager", "Handler", "Util"; you describe it with "and".
- *Test:* list the actors/features that force edits to it. More than one - it is doing more than one job.
- *Fix:* split along the reasons-to-change, not along method count. Ten cohesive methods are fine; three methods serving three features are not.

**O - Open/closed.** Add behaviour by adding code, not by editing a growing conditional.
- *Smell:* a switch/if-else chain over a type tag that grows a branch with every new variant, duplicated in several places.
- *Test:* "when the next variant arrives, how many existing files change?" More than one is the smell; zero or one (plus the new variant file) is the goal.
- *Fix:* one extension point - a strategy map, a handler registry, polymorphism - introduced at the second or third variant, not speculatively at the first.

**L - Liskov substitution.** A subtype must be usable wherever its base is expected, without surprises.
- *Smell:* overrides that throw `NotImplemented`, no-op overrides, `instanceof` checks on the subtype after receiving the base, subclasses that tighten what inputs they accept.
- *Test:* can every caller of the base run unmodified against each subtype and stay correct?
- *Fix:* usually the hierarchy is wrong - replace inheritance with composition, or split the base into what all subtypes truly share. (A `Square extends Rectangle` problem is never fixed inside `Square`.)

**I - Interface segregation.** Depend on the methods you use, not on a fat contract.
- *Smell:* implementations stubbing methods they do not need; a change to one client's method recompiling/breaking every other client; mocks that stub fifteen methods to test one.
- *Test:* group the interface's methods by which clients call them. More than one group - the interface is a bundle.
- *Fix:* split by client need (`Reader`/`Writer`, not `Storage`), or in structurally-typed languages, accept the narrow shape the function actually uses.

**D - Dependency inversion.** Policy should not import mechanism.
- *Smell:* business logic constructing its own database client or HTTP client inline; tests that cannot run without real infrastructure; a domain module importing a vendor SDK.
- *Test:* can the core logic be exercised in a test with in-memory fakes, without patching module internals?
- *Fix:* pass the dependency in (constructor, parameter, factory) behind the narrowest interface the logic needs. Plain function parameters count as injection; a DI framework is not the point.

## Step 3: Prescribe proportionately

- Order findings by cost of leaving them: violations on hot, frequently-edited paths first; stable code last or not at all.
- Each finding names the principle, the concrete evidence (file, the commits or branches that show the pressure), and the smallest refactor - shown as the target structure in the project's own style, not a pattern name.
- Say what you would *not* change. Explicitly bless the simple code that hypothetically "violates" a principle but sits on an axis with no change pressure. Recommending restraint is part of the review.
- When writing new code rather than reviewing: start concrete, and let the second variant or second consumer trigger the abstraction. Note in the design where that extension point will go when it is earned.

Versions

RepositoryScoreLicence
This page · khaledsaeed18/dotclaude90MIT
pantheon-org/tekhne100MIT
claude-dev-suite/claude-dev-suite100MIT
florianbuetow/claude-code100MIT
jeremymorgan/code-review-skills100CC0-1.0
decebals/claude-code-java95MIT
joeblackwaslike/agent-skills87MIT

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