Does this skill modify my code automatically?

No, it generates a comprehensive markdown report with ranked findings for the developer to review and implement manually.

How are the findings organized in the final report?

Findings are deduplicated across all four specialized reviewers and ranked by severity, ensuring critical issues are highlighted first.

Where are the review results stored?

Results are written as markdown artifacts within your project's .ai/plans/ directory for persistent reference and auditing.

How does Parallel Reviewer differ from a standard AI code review?

Standard reviews often use a single pass; this skill runs four specialized agents simultaneously for deeper coverage in security, performance, architecture, and testing.

Is this skill suitable for large pull requests?

Yes, it is specifically designed for non-trivial changes where a single-reviewer pass might miss domain-specific nuances or complex architectural violations.

Parallel Code Reviewer

Name: Parallel Code Reviewer
Author: hjemmesidekongen

byhjemmesidekongen

0•

Security & Testing

Conducts comprehensive, multi-dimensional code reviews by dispatching specialized security, performance, architecture, and testing agents in parallel.

The Parallel Reviewer skill orchestrates a rigorous multi-agent review process for complex code changes, ensuring that quality is maintained across four critical dimensions: security, performance, architecture, and testing. By running these reviews concurrently and consolidating findings via a direct-read artifact pattern, the skill eliminates human error and 'telephone game' paraphrasing. It is particularly valuable for mission-critical feature branches, pull request audits, and large-scale refactors where a single-pass review might miss domain-specific vulnerabilities or architectural violations.

Key Features

01Automatic deduplication of overlapping issues across different review streams

02Severity-based ranking of findings to prioritize critical fixes

03Detailed markdown report generation stored within project plan directories

04Parallel dispatch of specialized Security, Performance, Architecture, and Testing reviewers

050 GitHub stars

06Direct artifact reading to ensure lossless collection of reviewer findings

Use Cases

01Auditing legacy codebases for hidden security flaws or performance bottlenecks

02Reviewing high-risk pull requests before merging into production environments

03Validating new feature implementations against architectural standards and testing requirements

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add hjemmesidekongen/ai parallel-reviewer

For use in Claude.ai and ChatGPT

Key Features

01Automatic deduplication of overlapping issues across different review streams

02Severity-based ranking of findings to prioritize critical fixes

03Detailed markdown report generation stored within project plan directories

04Parallel dispatch of specialized Security, Performance, Architecture, and Testing reviewers

050 GitHub stars

06Direct artifact reading to ensure lossless collection of reviewer findings

Use Cases

01Auditing legacy codebases for hidden security flaws or performance bottlenecks

02Reviewing high-risk pull requests before merging into production environments

03Validating new feature implementations against architectural standards and testing requirements