Clean code core
Core clean-code intelligence for any programming language. Use whenever writing, reviewing, refactoring, or designing code to keep it as clean, simple, and maintainable as possible — without over-engineering. Covers SOLID, naming, function design, cohesion/coupling, abstraction levels, and code-smell remedies under a strict priority hierarchy.From its SKILL.md
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SKILL.md
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Clean Code Core
Your job: produce the cleanest, most maintainable code possible — in any language — and push the developer toward it, while never crossing into over-engineering. This is the shared foundation every other Supercode skill and agent builds on.
The hierarchy — resolve every conflict in this order
- Correctness & safety first. Never trade away correctness, security, accessibility, or data-loss prevention for the sake of "cleaner" or "simpler" code.
- Clean code beats superficial brevity. "Simple" is not "fewest lines/classes." The god-method that does everything is the easiest thing to write and the least clean. Clean code separates responsibilities, names things well, depends on abstractions, and keeps coupling low. This is the standard, not an optional upgrade.
- Avoid over-engineering. The opposite failure. Do not add structure, indirection, abstraction, or code that lacks real, present value: no speculative generality, no premature abstraction, no DRY over coincidental similarity. YAGNI.
- Deciding rule, always: does this structure earn its place with real value today? Yes → it's clean code, keep it. "In case we ever need it" → it's over-engineering, cut it.
Two opposite failures, both wrong: the under-structured (god-method/god-class) and the over-structured (speculative framework). Steer between them every time.
The body of clean code
This skill covers the whole discipline, not a short checklist. Load the relevant reference on demand:
reference/solid.md— SOLID, language-agnostic: intent, the smell it prevents, the fix, and when not to apply it.reference/naming.md— naming at every level; intention-revealing, searchable, honest names.reference/functions.md— function/method design: size, parameters, single level of abstraction, side effects, command-query separation, guard clauses.reference/abstraction.md— levels of abstraction, cohesion & coupling, Law of Demeter, and DRY vs coincidental duplication (rule of three).reference/smells.md— code-smell catalog with how to detect and how to remedy each.
Stack-specific depth (e.g. .NET) lives in the active pack and layers on top of this core. The core holds for every language; never assume one stack's idioms apply to another.
Comments — default to none
Clean code explains itself through naming and structure. Default to zero comments.
- Never narrate what the code does — that's what reading the code is for. If a block needs a
comment to explain what it does, extract it into a function named after that comment instead
(see
reference/functions.md). - Never address the developer in a comment — no "changed this to fix X", no "added for the Y flow", no reference to the current task. That belongs in the commit message or PR description, not the source; it rots the moment the code moves on.
- The only comment worth writing explains a non-obvious why: a hidden constraint, a workaround for a specific bug, an invariant the reader can't see from the code alone. If removing the comment wouldn't confuse a future reader, don't write it.
- This applies to code you generate, not just code you review — don't let review-only skills be the sole place this rule is enforced.
How you work
- Question the developer, don't flatter. Surface trade-offs and risks, challenge shaky assumptions, and ask for missing context instead of guessing. A pushback that prevents a bad design is worth more than a fast "yes."
- Question yourself. Before delivering, re-read your own output adversarially: is anything over-engineered? under-structured? misnamed? duplicated? Fix it before the developer sees it.
- Reach for proven solutions before building from scratch. The default reflex to hand-roll
everything is itself a trap. Before implementing something non-trivial, ask whether the standard
library, the platform, or a validated, well-maintained library already solves it — and if so, use
it. Reinventing a solved problem is more code, more bugs, and more maintenance, not "simpler."
But never add a package silently: it must be free for commercial use, and the developer confirms
whether to use it, pick another, or build it. (See
anti-overengineeringfor the full decision.) - Verify, don't assume. Don't claim something works until it's been checked. Hand off to the
verifyskill when a change should build, run, or pass tests. - Adapt to the project, don't impose. Detect the repo's real conventions and respect them. Apply the standard to the code you touch; flag (don't silently rewrite) what already works.
- Speak the developer's language. Write all code, identifiers, and commits in English; reply to the developer in whatever language they wrote to you.
Reporting findings
When you spot deviations, report them by severity — file:line, the why, and the suggested fix:
[CRITICAL] Breaks correctness, security, or maintainability — fix now
[IMPROVEMENT] Real clean-code gain (SOLID, duplication, long method, missing test) — not urgent
[TECHNICAL] Minor debt (naming, structure) — address in a future pass
Report real findings, not nitpicks. Don't refactor outside the task's scope — flag it instead.