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Parallel Code Review

  • 255 installs
  • 655 repo stars
  • Updated August 2, 2026
  • spencerpauly/awesome-cursor-skills

Helps with ai & agent building tasks.

About

parallel-code-review is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted coding.

  • parallel-code-review
  • AI & Agent Building
  • AI-coding skill

Parallel Code Review by the numbers

  • 255 all-time installs (skills.sh)
  • +27 installs in the week ending Jul 27, 2026 (Skillselion tracking)
  • Ranked #2,507 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/spencerpauly/awesome-cursor-skills --skill parallel-code-review

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Listed on Skillselion
Installs255
repo stars655
Last updatedAugust 2, 2026
Repositoryspencerpauly/awesome-cursor-skills

What it does

Helps with ai & agent building tasks.

Files

SKILL.mdMarkdownGitHub ↗

Parallel Code Review

Use Cursor’s Task tool to run four explore (read-only) subagents at once. Each subagent only reads code and produces findings for one dimension. The main agent merges results into a single prioritized review — something only a multi-agent setup does efficiently.

When to use

  • Large diffs or refactors where a single pass misses categories.
  • Security-sensitive changes (auth, payments, parsing untrusted input).
  • Performance-sensitive paths (hot loops, N+1 queries, bundle entry points).

Workflow

1. Scope the change set

Prefer a concrete list of files for reviewers:

git diff --name-only origin/main...HEAD

Or paste the PR link and let the main agent list changed files from the branch.

2. Launch four parallel subagents

Send one message with four Task invocations, each subagent_type: "explore" and readonly: true, with prompts like:

Security

Read-only review: SECURITY

Changed files:
<list>

Focus: injection (SQL, shell, XSS), authZ/authN gaps, secrets in code, unsafe deserialization, path traversal, SSRF, IDOR, dependency CVEs mentioned in diff.

Output:
- Critical / High / Medium / Low findings
- File:line and short fix recommendation
- "No issues" if nothing material

Performance

Read-only review: PERFORMANCE

Changed files:
<list>

Focus: N+1 queries, missing indexes, accidental O(n²) loops, bundle size impact, unnecessary re-renders, sync I/O on hot paths, unbounded caches.

Output: same severity + location format as above.

Correctness

Read-only review: CORRECTNESS

Changed files:
<list>

Focus: logic bugs, off-by-one, wrong edge cases, race conditions, error handling gaps, breaking API changes, test gaps for new behavior.

Output: same format.

Readability / maintainability

Read-only review: READABILITY

Changed files:
<list>

Focus: naming, duplication, abstraction boundaries, file size, unclear control flow, missing types/docs where they would prevent bugs.

Output: same format; prefer suggestions over nitpicks.

3. Synthesize

The main agent should:

1. De-duplicate findings that appear in multiple dimensions (count once, worst severity). 2. Order by severity, then by fix cost. 3. Produce a short executive summary (5 bullets max) and a table or list of actionable items.

4. Optional — address findings

Fix in the main agent or spawn targeted non-readonly follow-up tasks only for approved items.

Notes

  • Keep prompts read-only so parallel runs never fight over writes.
  • If the diff is huge, split by directory and run four reviewers per directory in a second wave — do not cram unrelated megadiffs into one pass.
  • This complements human review; it does not replace compliance or security sign-off for regulated environments.

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