technical-blog-image-review
CommunityIndependently verify and improve AI blog visuals.
Content & Communication#fact-checking#readability#MDX#source validation#image review#technical blog#diagram QA
Authorartreimus
Version1.0.0
Installs0
System Documentation
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.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: technical-blog-image-review Download link: https://github.com/artreimus/ylang-labs-blog/archive/main.zip#technical-blog-image-review Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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