Capture Review Findings

Persist code review findings to disk in triaged FIX, TASK, ADR, and RULE categories.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/rghsoftware/context-engine --skill capture-review-findings
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Capture Review Findings
Source: https://github.com/rghsoftware/context-engine/tree/main/context-engine/skills/review-capture
Command: npx skills add https://github.com/rghsoftware/context-engine --skill capture-review-findings

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill persists code review findings to disk in a structured, triaged format, ensuring they are saved and can be resolved in a fresh session, even after context compaction.

Core Features & Use Cases

  • Structured Triage: Categorizes findings into FIX, TASK, ADR, and RULE for clear actionability.
  • Persistence: Saves review outcomes to disk, preventing data loss.
  • Workflow Integration: Designed to be used after various review agents or manual feedback.
  • Use Case: After running a code review agent, use this skill to capture all identified issues, categorize them, and save them to a file so you can address them later.

Quick Start

Use the capture review findings skill to save the current review findings.

Frequently Asked Questions about Capture Review Findings

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

FAQPage Schema
How do I persist code review findings to disk after a session reset?

To persist code review findings to disk, you can capture and save them in a structured, triaged format. This ensures identified issues are not lost during context compaction and remain available for resolution in a fresh session.

How do I triage code review findings into actionable categories?

You can triage code review findings by categorizing them into FIX, TASK, ADR, and RULE groups. This structured classification ensures clear actionability and helps track specific resolution paths for each identified issue.

Why do code review findings get lost during context compaction?

Code review findings get lost during context compaction because session limits drop historical conversation data. Saving these findings to disk as structured files prevents this data loss and preserves the review outcomes for later access.

Can I cross-reference code review findings with planning artifacts like Spec.md?

Yes, you can cross-reference code review findings with planning artifacts. The skill supports cross-referencing with documents like Spec.md and Steps.md to maintain alignment between identified issues and your project planning workflow.

What is the best way to save code review outcomes for later resolution?

The best way to save code review outcomes is writing detailed review files to a designated disk directory. This approach stores the triaged findings persistently, allowing you to address the documented issues systematically in a new session.

Does this code review workflow integration support manual feedback?

Yes, this code review workflow integration supports manual feedback. It is designed to be used after various review agents or manual feedback processes to capture, categorize, and save all identified issues to a file.