Skip to content
Agentmart
Submit a tool
This entry duplicates simplify, which is the one we list in search.

simplify

Review the changed code for reuse, simplification, efficiency, and altitude cleanups, then apply the fixes.

Skill by HMBSbige

IndexedMIT★ 1
Write a review

Chalk Labs

Need help deploying simplify?

Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.

Book a call

Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/hmbsbige-simplify

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

Review the changed code for reuse, simplification, efficiency, and altitude cleanups, then apply the fixes. Quality only — it does not hunt for bugs; use code-review for that.

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions: not checked yet.

What's inside

Skill name
simplify
Description
Review the changed code for reuse, simplification, efficiency, and altitude cleanups, then apply the fixes. Quality only — it does not hunt for bugs; use code-review for that.
License
MIT
Instructions
39 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

`simplify → 4 cleanup subagents in parallel when available → apply the fixes`

When a target was supplied, prepend:

`Review target: <target>`

You are improving the quality of the changed code, not hunting for bugs. Review it for reuse, simplification, efficiency, and altitude issues, then fix what you find. Do not look for correctness bugs — that is what `code-review` is for.

## Phase 0 — Gather the diff

Run `git diff @{upstream}...HEAD` (or `git diff main...HEAD` / `git diff HEAD~1` if there's no upstream) to get the unified diff under review. If there are uncommitted changes, or the range diff is empty, also run `git diff HEAD` and include the working-tree changes in scope — the review often runs before the commit. If a PR number, branch name, or file path was passed as an argument, review that target instead. Treat this diff as the review scope.

## Phase 1 — Review

When the current agent can launch independent subagents, launch **4 independent review subagents** through the available subagent mechanism, all in a single message so they run concurrently. Pass each subagent the diff and one of the four angles below. Each returns its findings with `file`, `line`, a one-line `summary`, and the concrete cost (what is duplicated, wasted, or harder to maintain).

When no subagent mechanism is available, use a single-pass inline cleanup: work through all four angles below yourself, in the same context, in one pass — do not skip an angle for lack of fan-out. Record findings with the same fields and concrete-cost requirement.

### Reuse

Flag new code that re-implements something the codebase already has — search shared/utility modules and files adjacent to the change, and name the existing helper to call instead.

### Simplification

Flag unnecessary complexity the diff adds: redundant or derivable state, copy-paste with slight variation, deep nesting, dead code left behind. Name the simpler form that does the same job.

### Efficiency

Flag wasted work the diff introduces: redundant computation or repeated I/O, independent operations run sequentially, blocking work added to startup or hot paths. Also flag long-lived objects built from closures or captured environments — they keep the entire enclosing scope alive for the object's lifetime (a memory leak when that scope holds large values); prefer a class/struct that copies only the fields it needs. Name the cheaper alternative.

### Altitude

Check that each change is implemented at the right depth, not as a fragile bandaid. Special cases layered on shared infrastructure are a sign the fix isn't deep enough — prefer generalizing the underlying mechanism over adding special cases.

## Phase 2 — Apply the fixes

Wait for all four subagents to complete, or finish the single inline pass when no subagent mechanism is available. Dedup findings that point at the same line or mechanism, and fix each remaining one directly. Skip any finding whose fix would change intended behavior, require changes well outside the reviewed diff, or that you judge to be a false positive — note the skip rather than arguing with it. Finish with a brief summary of what was fixed and what was skipped (or confirm the code was already clean). For the inline fallback, state clearly that this was a single-pass review done without the full 4-subagent fan-out.

From HMBSbige/skills, MIT.

More from HMBSbige/skills

Signals

Stars
1
Forks
0
Open issues
0
Last commit (this folder)
Jul 18, 2026 (3 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

Same skill elsewhere

Copies of this SKILL.md published by others; search shows only one of them.

More from HMBSbige

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped
50+
launches shipped
media placements
500+
media placements
founders on every account
2
founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

Get simplify running in your business

Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.

Goes to the Chalk Labs founders, not the newsletter. Privacy

Need help deploying simplify?

CallGet help
Cite this page

simplify skill. Agent Mart. https://agentmart.dev/skills/hmbsbige-simplify (last updated 2026-10-24)