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code-simplification

Simplify code that works — remove speculative abstraction, dead flexibility, and needless indirection while keeping behaviour identical and verified.

Install / Use

npx skills add mohitagw15856/pm-claude-skills --skill code-simplification

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

82/100

Supported Platforms

Universal

Our assessment of code-simplification

code-simplification scores 82/100 on our quality scale, 2925th of 4,658 Development & Engineering skills we index.

Its SKILL.md is 4.9 KB long, well organised into 9 sections and no code examples: a solid amount of guidance for an agent.

With 1,396 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
13/20
Description
15/15
Adoption
13/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 8 days ago, so code-simplification is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

code-simplification compared with similar skills

All 4 of these similar skills score higher than code-simplification; compare them before choosing.

SkillScoreStarsUpdatedFormat
code-simplification (this skill)by mohitagw15856821.4k8d agoSKILL.md
ai-job-searchby MadsLorentzen10044.8ktodayCLAUDE.md
claude-howtoby luongnv8910041.7k2d agoCLAUDE.md
algorithmic-artby anthropics100177.9k10d agoSKILL.md
pptxby anthropics100177.9k10d agoSKILL.md

Frequently asked questions

How do I install code-simplification?
Run npx skills add mohitagw15856/pm-claude-skills --skill code-simplification. The install tabs above show the steps for each supported agent.
Which AI agents does code-simplification work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is code-simplification safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is code-simplification still maintained?
The repository was last updated 8 days ago, so code-simplification is actively maintained.

name: code-simplification description: "Simplify code that works — remove speculative abstraction, dead flexibility, and needless indirection while keeping behaviour identical and verified. Use after a feature lands ('now simplify it'), when AI-generated code arrives over-engineered, when a file has grown hard to follow, or as the cleanup pass before review. Produces a smaller, flatter version with identical behaviour, plus a ledger of what was removed and why it was safe. For finding bugs use code-review-checklist / ai-code-review — this skill assumes it works and makes it simple."

Code Simplification Skill

Code accretes defensive complexity: abstractions for futures that never came, options nobody passes, indirection that once had a reason. AI-generated code arrives pre-accreted — interfaces with one implementer, config objects with nine unused knobs. Simplification is its own pass with its own rule: behaviour identical, verified; complexity removed, listed.

What This Skill Produces

  • The simplified code — smaller, flatter, same behaviour
  • A removal ledger: each simplification, why it was safe, and what future it forecloses (honestly)
  • Verification evidence that behaviour held

Required Inputs

Ask for these if not provided:

  • The code — what works today and should keep working
  • The pressure — what made it feel complex: onboarding, a bug, a review comment
  • What must not change — the public API, behaviour, or performance envelope
  • Test coverage — whether there are tests to prove the simplification is safe

What to Hunt (in order of payoff)

  1. Speculative generality — the interface with one implementation, the parameter always called with the same value, the config option no caller sets, the "pluggable" thing nothing plugs into. Rule: the future that justified it must be on a roadmap, not in an imagination. YAGNI is a removal warrant.
  2. Indirection without insulation — layers that only forward: the wrapper that calls one function, the factory returning one type, the event fired for one listener sitting next door. Each hop costs a reader a jump; collapse hops that don't isolate change.
  3. Dead and duplicate paths — unreachable branches, handled-nowhere flags, the local re-implementation of a utility that exists (grep before believing anything is unique).
  4. Cleverness taxing readers — the nested ternary, the reduce that should be a loop, the regex doing four jobs. Rewrite for the next reader; "fewer characters" is not "simpler".
  5. Flatten control flow — guard clauses over nested ifs; early returns over else-pyramids; splitting the function that needs a comment per section into functions named by those comments.

The Safety Discipline (what makes this different from vandalism)

  • Behaviour-preserving means verified, not asserted: run the full relevant suite before AND after; if coverage is thin over the code being simplified, add the pinning test first — simplifying untested code is refactoring blind.
  • One hunt-class per pass where the code is load-bearing (remove speculation, verify; collapse indirection, verify) — mirrors incremental-implementation's rule.
  • Chesterton's fence check on anything weird: git log/blame the strange bit before deleting it. Some "needless" complexity is a bug fix wearing an odd shape — if the history shows a fix, keep it and comment WHY it's shaped that way instead.
  • Public surface needs a wider net: simplifying exported/shared code means checking callers across the codebase, not just the local file.

Output Format

Simplification: [target]

Verification: [suite/build run before → after: identical] · pinning tests added: [n or none-needed because…]

Removal ledger | What was removed/flattened | Class | Why safe | Future foreclosed (honest) | |---|---|---|---|

Kept deliberately: [the weird-but-load-bearing bits, with their Chesterton evidence] Size: [LOC/complexity before → after]

Quality Checks

  • [ ] Full verification ran before and after — identical behaviour, evidenced
  • [ ] Thinly-tested code got pinning tests before simplification
  • [ ] Every removal states the future it forecloses — "none" must be argued, not assumed
  • [ ] Strange code was history-checked before deletion (Chesterton's fence)
  • [ ] The result is simpler for a READER, not just shorter

Anti-Patterns

  • [ ] Do not simplify and change behaviour in one pass — the moment behaviour shifts, this became a rewrite without a spec
  • [ ] Do not delete weirdness without checking why it's weird — some of it is a production incident's scar tissue
  • [ ] Do not confuse terse with simple — code golf raises the reading tax this skill exists to cut
  • [ ] Do not remove flexibility that's actually on the roadmap — YAGNI applies to imagined futures, not planned ones
  • [ ] Do not skip the ledger — invisible simplification is indistinguishable from unexplained deletion in review

Related Skills

View on GitHub
GitHub Stars1.4k
CategoryDevelopment
Updated8d ago
Forks249

Languages

HTML

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions