review

Name: review
Availability: InStock
Author: idealic-ai

Audit debriefs, logs, and templates against defined standards.

Updated Feb 8, 2026

Search Tags:#workflow #validation #quality #review #cross-session #debrief

Ready to run

npx skills add https://github.com/idealic-ai/engine --skill review-idealic-ai

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: review
Source: https://github.com/idealic-ai/engine/tree/main/skills/review
Command: npx skills add https://github.com/idealic-ai/engine --skill review-idealic-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes assets (resource) components.

What problem does it solve?

Reviews and validates work across sessions to ensure consistency, quality, and auditable outcomes.

Core Features & Use Cases

Cross-session validation: ensure debriefs, logs, and templates align with standards.
Dashboard-ready analysis: surface overlapping changes, conflicts, and dependencies.
Per-debrief interrogation support: enables structured validation and evidence gathering for each session.

Quick Start

Load tagged debriefs and run the Review protocol to generate a validated REVIEW.md report.

Frequently Asked Questions about review

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

FAQPage Schema

How do I validate cross-session work for quality and consistency?▼

Cross-session validation audits all debriefs, logs, and templates against defined standards to surface quality issues, generating a dashboard of findings and per-debrief verdicts.

What is the best way to audit debriefs and logs against defined standards?▼

Auditing debriefs and logs applies a review protocol to tagged entries, producing a validated report with full traceability by recording results and tagging outcomes in REVIEW_LOG.md.

How do I generate a dashboard of findings from overlapping session changes?▼

Generating a dashboard of findings analyzes tagged debriefs across sessions to surface overlapping changes, conflicts, and dependencies, outputting actionable leftovers with micro-dehydrated prompts.

Can I use this review protocol for #needs-rework debriefs across multiple sessions?▼

The review protocol applies to every #needs-review and #needs-rework debrief across sessions, enabling structured validation and evidence gathering for each session's work.

How do I ensure full traceability when reviewing cross-session work?▼

Full traceability records validation results in REVIEW_LOG.md, tags outcomes, and lists actionable leftovers with micro-dehydrated prompts to track quality issues across sessions.

When do I need cross-session validation for my workflow?▼

Cross-session validation is needed when reviewing work across sessions to ensure consistency, quality, and auditable outcomes by interrogating debriefs against established standards.