hezaohezao/simplify-code
Sequential 3-lens cleanup of recent code changes.
npx skills add https://github.com/HezaoHezao/poirot --skill simplify-code
Review your recent code changes with three focused lenses, aggregate findings,
and apply the fixes worth applying.
Core principle: Three narrow reviews beat one broad review. Each one deeply
searches the codebase for a single class of problem — reuse, quality,
efficiency — without diluting attention across all three.
> Poirot note: The original skill runs 3 reviewers in parallel via
> subagent delegation. Poirot has no subagents, so this version runs the 3
> lenses sequentially in the same context. The methodology is identical;
> only the concurrency is lost.
Trigger this skill when the user says any of:
Optional modifiers the user may add — honor them:
Recognized focuses: reuse, quality, efficiency.
three lenses, present findings, apply NOTHING. Ask before applying.
src/foo.py" → narrow the diff source accordingly.
Do NOT auto-run this after every edit. Invoke it only when the user asks.
Capture the diff to review. Pick the source by what the user asked for:
# 1. Default: uncommitted working-tree changes (tracked files)
git diff
# 2. If that's empty, include staged changes
git diff HEAD
# 3. Scoped variants:
git diff --staged # "staged changes"
git diff HEAD~1 # "the last commit"
git diff main...HEAD # "this branch" / "my PR"
git diff -- src/foo.py # specific file(s)
If git diff and git diff HEAD are both empty, fall back to files the user
explicitly named or recently edited in this session. If you can't find any
changed code, say so and stop.
Capture the full diff text. Note its size: if >2000 changed lines, warn the
user and offer to scope down before proceeding.
Each lens gets the complete diff (not fragments — cross-file issues hide in
the gaps) plus the repo path so it can search the wider codebase via bash
(grep) and read_file.
For each lens:
git blame on the line to understand why it exists. If you can't determine
the original purpose, mark it confidence: low.
file:line → problem → suggested fix | confidence: high/medium/low | risk: SAFE/CAREFUL/RISKY
code, pass-through wrappers). Auto-apply these.
flatten nested ternary, extract helper). Apply with test verification.
human review — do NOT auto-apply.
Run these three lenses (skip any the user's focus excludes):
Lens 1 — Code Reuse
> Review this diff for code that duplicates functionality already in the
> codebase. Search utility modules, shared helpers, and adjacent files (use
> bash grep) for existing functions, constants, or patterns the new code
> could call instead of reimplementing. Flag: new functions that duplicate
> existing ones; hand-rolled logic that an existing utility already does. For
> each, name the existing thing to use and where it lives.
Lens 2 — Code Quality
> Review this diff for quality problems. Look for: redundant state; parameter
> sprawl; copy-paste-with-variation; leaky abstractions; stringly-typed code
> (raw strings where a constant/enum exists); AI-generated slop patterns
> (extra comments restating obvious code, unnecessary defensive null-checks,
> as any casts). For each, give the concrete refactor.
Lens 3 — Efficiency
> Review this diff for efficiency problems. Look for: unnecessary work
> (redundant computation, repeated file reads, N+1 access); missed concurrency;
> hot-path bloat; TOCTOU anti-patterns; memory issues (unbounded growth,
> missing cleanup); overly broad reads; silent failures (empty catch blocks,
> except: pass). For each, give the concrete fix and why it's faster/safer.
suggestions silently.
correctness > the user's stated focus > readability/reuse > micro-perf.
Don't apply a perf "fix" that hurts clarity unless the path is genuinely hot.
pass-through wrappers. Run tests after.
locals, flatten ternaries, extract helpers, consolidate dupes. Run tests
after each file. Revert any that break.
public API changes, concurrency fixes. Present each with risk description
and test coverage status.
If the user opted for a dry run, present all three tiers and apply nothing.
the touched files, and re-run any linter/type check the repo uses. If a fix
breaks a test, revert that one fix and report it.
lens and risk tier, plus any findings you deliberately skipped and why.
cross-file duplication and N+1s only show up with the full picture.
existing utility is noise. Require file:line evidence; drop findings that
lack it.
license to refactor the whole module. Keep edits scoped to what the diff
touched plus the minimal surrounding change a fix requires.
AGENTS.md / CLAUDE.mdor a linter config, fold those rules into the lens prompts so suggestions
match house style.
reviewing — a 5000-line diff may truncate.
knip, ts-prune, depcheck flagexports that ARE used dynamically. Always grep for the symbol name before
removing — a clean tool report is not proof.
paths, DB column names, config keys are contracts. Tag public-contract
changes as RISKY; never auto-rename them.
intentional. Flag it, don't remove it; let the human decide.
Use requesting-code-review for the pre-commit security/quality gate.
This skill is the standalone *after-the-fact* cleanup pass.
Take hezaohezao/simplify-code from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.