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review-entire-work

Simulate five expert personas to audit implementation, pipeline integrity, statistical rigor, and narrative.

1|2|Updated Jan 15, 2026
Search Tags:#quality assurance#technical writing#code audit#expert simulation#statistical analysis#project review
One-click install
npx skills add https://github.com/ihmorol/unsw-nb15-handling-binary-multiclass-ids --skill review-entire-work
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: review-entire-work
Source: https://github.com/ihmorol/unsw-nb15-handling-binary-multiclass-ids/tree/main/.opencode/skills/review-entire-work
Command: npx skills add https://github.com/ihmorol/unsw-nb15-handling-binary-multiclass-ids --skill review-entire-work

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a thorough, multi-faceted review of a project by simulating the perspectives of five distinct expert roles, ensuring all aspects from technical implementation to strategic impact are scrutinized.

Core Features & Use Cases

  • Simulates Expert Personas: Employs Auditor, Architect, Reviewer, Author, and Area Chair roles for a holistic evaluation.
  • Systematic Workflow: Guides through distinct phases: Implementation Audit, Pipeline Integrity, Statistical Rigor, Narrative Review, and Meta-Review.
  • Use Case: Before submitting a research paper or launching a new software feature, use this Skill to get a comprehensive pre-mortem analysis covering code quality, data integrity, statistical validity, and presentation narrative.

Quick Start

Initiate a full project review by running the review-entire-work skill.

Frequently Asked Questions about review-entire-work

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I perform a comprehensive project review before submission?▼

A comprehensive project review systematically audits implementation, checks pipeline integrity, verifies statistical rigor, reviews the narrative, and provides a final verdict with an action plan.

What is multi-perspective code audit and how does it work?▼

Multi-perspective code audit simulates five expert personas: Auditor, Architect, Reviewer, Author, and Area Chair, to holistically evaluate technical implementation, data integrity, and strategic impact.

Can I use expert simulation to check statistical rigor in my research paper?▼

Yes, expert simulation verifies statistical rigor by systematically reviewing your data pipeline and analytical methods through distinct expert roles to ensure validity before publication.

How do I get a pre-mortem analysis for a new software feature launch?▼

A pre-mortem analysis for a software feature launch evaluates code quality, pipeline integrity, statistical validity, and presentation narrative to identify potential failures and provide an action plan.

Does this project review skill work for both software engineering and technical writing?▼

Yes, this project review evaluates both software engineering components like code quality and pipeline integrity, alongside technical writing elements by reviewing the presentation narrative.

What is the best way to systematically review a project's pipeline integrity?▼

The best way to review pipeline integrity is using a systematic workflow that audits implementation, verifies statistical rigor, and synthesizes findings into a final verdict with an action plan.

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