Simplify Code

Simplify Code — Parallel Review & Cleanup

Review your recent code changes with three focused reviewers running in parallel, aggregate their findings, and apply the fixes worth applying.

Core principle: Three narrow reviewers beat one broad reviewer. Each one deeply searches the codebase for a single class of problem — reuse, quality, efficiency — without diluting its attention across all three. They run concurrently, so you pay the latency of one review, not three.

When to Use

Trigger this skill when the user says any of:

• "simplify" / "simplify my changes" / "simplify these changes"
• "review my code" / "review my recent changes" / "clean up my changes"
• "/simplify" (if they're carrying the Claude Code habit over)

Optional modifiers the user may add — honor them:

• Focus: "simplify focus on efficiency" → run only the efficiency reviewer (or weight the aggregation toward it). Recognized focuses: reuse, quality, efficiency.
• Dry run: "simplify but don't change anything" / "just report" → run the three reviewers, present findings, apply NOTHING. Ask before applying.
• Scope: "simplify the last commit" / "simplify staged" / "simplify src/foo.py" → narrow the diff source accordingly (see Phase 1).

Do NOT auto-run this after every edit. It costs three subagents' worth of tokens — invoke it only when the user explicitly asks.

The Process

Phase 1 — Identify the changes

Capture the diff to review. Pick the source by what the user asked for, in this default order:

# 1. Default: uncommitted working-tree changes (tracked files)
git diff

# 2. If that's empty, include staged changes
git diff HEAD

# 3. Scoped variants the user may request:
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 and there's no git repo or no changes, fall back to the files the user explicitly named or that were recently created/edited in this session. If you genuinely can't find any changed code, say so and stop — there's nothing to simplify.

Capture the full diff text. Note its size: if it's very large (say >2000 changed lines), warn the user that three subagents each carrying the full diff will be token-heavy, and offer to scope it down (per-directory, per-commit) before proceeding.

Phase 2 — Launch three reviewers in parallel

Use delegate_task batch mode — pass all three tasks in one tasks array so they run concurrently. Three is the right fan-out for this pattern; it's well within the delegation.max_concurrent_children budget on any default install.

Give every reviewer the complete diff (not fragments — cross-file issues hide in the gaps) plus the absolute repo path so they can search the wider codebase. Each reviewer gets terminal, file, and search toolsets (so they can git, read_file, and search_files/grep).

Tell each reviewer to:

• Search the existing codebase for evidence (don't reason from the diff alone).
• Apply Chesterton's Fence: before flagging anything for removal, run git blame on the line to understand why it exists. If you can't determine the original purpose, mark it confidence: low — don't guess.
• Report findings as structured output with confidence and risk:

  file:line → problem → suggested fix | confidence: high/medium/low | risk: SAFE/CAREFUL/RISKY

  • SAFE = proven not to affect behavior (unused imports, commented-out code, pass-through wrappers). Auto-apply these.
  • CAREFUL = improves without changing semantics (rename local variable, flatten nested ternary, extract helper). Apply with test verification.
  • RISKY = may change behavior or breaks public contracts (N+1 restructuring, public API rename, memory lifecycle change). Flag for human review — do NOT auto-apply.
• Skip nits and style-only churn. Only flag things that materially improve the code.

Pass these three goals (drop any the user's focus excludes):

Reviewer 1 — Code Reuse

Review this diff for code that duplicates functionality already in the codebase. Search utility modules, shared helpers, and adjacent files (use search_files / 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 (manual string/path manipulation, custom env checks, ad-hoc type guards, re-implemented parsing). For each, name the existing thing to use and where it lives.

Reviewer 2 — Code Quality

Review this diff for quality problems. Look for: redundant state (values that duplicate or could be derived from existing state; caches that don't need to exist); parameter sprawl (new params bolted on where the function should have been restructured); copy-paste-with-variation (near-duplicate blocks that should share an abstraction); leaky abstractions (exposing internals, breaking an existing encapsulation boundary); stringly-typed code (raw strings where a constant/enum/registry already exists — check the canonical registries before flagging); AI-generated slop patterns (extra comments restating obvious code like // increment counter above count++; unnecessary defensive null-checks on already-validated inputs; as any casts that bypass the type system; patterns inconsistent with the rest of the file). For each, give the concrete refactor.

Reviewer 3 — Efficiency

Review this diff for efficiency problems. Look for: unnecessary work (redundant computation, repeated file reads, duplicate API calls, N+1 access patterns); missed concurrency (independent ops run sequentially); hot-path bloat (heavy/blocking work on startup or per-request paths); TOCTOU anti-patterns (existence pre-checks before an op instead of doing the op and handling the error); memory issues (unbounded growth, missing cleanup, listener/handle leaks); overly broad reads (loading whole files when a slice would do); silent failures (empty catch blocks, ignored error returns, except: pass, .catch(() => {}) with no handling, error propagation gaps — these hide bugs and should at minimum log before swallowing). For each, give the concrete fix and why it's faster or safer.