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unfinishablemap
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outer-review

Normalize external AI review files into frontmatter, wikilinks, and changelog tasks.

3|Updated Dec 30, 2025
Search Tags:#automation#changelog#verification#wikilinks#content-workflow#outer-review#external-ai-analysis
One-click install
npx skills add https://github.com/unfinishablemap/unfinishablemap --skill outer-review
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: outer-review
Source: https://github.com/unfinishablemap/unfinishablemap/tree/main/.claude/skills/outer-review
Command: npx skills add https://github.com/unfinishablemap/unfinishablemap --skill outer-review

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill helps content teams capture, normalize, and derive concrete actions from external AI analyses, reducing blind spots in the workflow.

Core Features & Use Cases

  • Automated review normalization: Converts external AI outputs into consistent frontmatter and internal references for the project.
  • Verification-driven tasking: Compares claims against cited sources and generates remediation tasks logged in the changelog.
  • Workflow integration: Seamlessly ties external feedback into obsidian/workflow and project content updates for ongoing quality control.

Quick Start

Commission an external AI analysis and save the raw output to obsidian/reviews/outer-review-YYYY-MM-DD-[system].md. Then run the normalization and integration step using the provided script to update the task backlog and changelog.

Frequently Asked Questions about outer-review

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

FAQPage Schema
How do I convert external AI analysis into actionable tasks within Obsidian?▼

To convert external AI analysis into actionable tasks, save the raw review output to your Obsidian reviews folder and run the provided Python script to normalize links, verify claims against sources, and log generated tasks to the changelog.

What is the best way to normalize external references and fix frontmatter in content workflows?▼

Normalizing external references and fixing frontmatter involves converting external links into internal wikilinks and structuring metadata, which this skill automates using Python scripts to ensure consistent project integration.

Can I verify AI-generated claims against cited sources automatically?▼

You can verify AI-generated claims automatically by running the review normalization script, which compares external AI claims against cited sources and generates remediation tasks logged directly in the changelog.

Do I need Python to integrate external AI review outputs into my content workflow?▼

Yes, you need Python to run the normalization scripts that process the external AI review files, convert references to wikilinks, and integrate the extracted tasks into your Obsidian workflow and changelog.

Why are my external AI review links not converting to internal wikilinks?▼

External AI review links may not convert to internal wikilinks if the raw review file is not saved in the correct Obsidian reviews directory or if the normalization script encounters unrecognized reference formats.

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