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technical-blog-image-review

Review technical blog images for factual accuracy and publication quality.

Updated Nov 1, 2024
Search Tags:#fact-checking#readability#MDX#source validation#image review#technical blog#diagram QA
One-click install
npx skills add https://github.com/artreimus/ylang-labs-blog --skill technical-blog-image-review
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: technical-blog-image-review
Source: https://github.com/artreimus/ylang-labs-blog/tree/main/.agents/skills/technical-blog-image-review
Command: npx skills add https://github.com/artreimus/ylang-labs-blog --skill technical-blog-image-review

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It prevents technically incorrect or misleading AI-generated visuals from being published in Ylang Labs technical blog posts.

Core Features & Use Cases

  • Independent technical QA: Reviews factuality and technical accuracy against the associated blog context.
  • Editorial design evaluation: Checks composition, readability, crop safety, hierarchy, and MDX/blog layout fit for headers and card images.
  • Source-backed fact-checking: Researches primary sources (papers, official docs, specs, release notes) and records source URLs for each finding.
  • Actionable recommendations: Produces clear, prioritized fixes (regenerate/crop/label/caption wording changes) without editing the images unless explicitly requested.
  • Use Case: When you have generated architecture plates, diagrams, process maps, or blog header/card images, this helps validate they match the article’s technical claims and look publication-ready.

Quick Start

Use this skill when you provide the image paths and the related MDX/blog context and ask for an independent review of factuality, technical accuracy, and readability for Ylang Labs technical blog assets.

Frequently Asked Questions about technical-blog-image-review

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

FAQPage Schema
How do I fact-check AI-generated technical blog images against source documentation?▼

To fact-check AI-generated technical blog images, you research primary sources like official docs, specs, and release notes, then verify the visual elements match those sources. This process records source URLs for each finding to ensure technical accuracy before publication.

What is the best way to review MDX blog header images for readability and layout fit?▼

Reviewing MDX blog header images for readability and layout fit requires evaluating composition, crop safety, and visual hierarchy. This editorial design evaluation checks whether headers and card images match the intended blog layout and look publication-ready.

How do I verify diagram accuracy for architecture plates in technical blog posts?▼

Verifying diagram accuracy for architecture plates involves reading the associated MDX context and independently checking the diagram's claims against primary sources. This ensures the generated process maps and architecture visuals match the article's technical claims.

Can I get actionable recommendations for fixing misleading AI blog visuals without altering the original files?▼

You can get actionable recommendations for fixing misleading AI blog visuals without altering the original files. The review produces a structured report with prioritized fixes like regenerate, crop, or label changes, providing concrete suggestions instead of directly editing images.

Does technical blog image QA require local image inspection and MDX context reading?▼

Technical blog image QA requires local image inspection and MDX context reading to accurately assess factuality and technical accuracy. Reading the associated blog context is essential to validate that the visual matches the specific technical claims being made.

Why should I use a structured report with severity-based issues for AI visual review?▼

A structured report with severity-based issues for AI visual review helps prioritize fixes by clearly categorizing factual errors and design flaws. This ensures publication-quality design by highlighting exactly what needs regeneration, cropping, or caption adjustments.

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