Can this skill check for dead external links?

Yes, the validator extracts external URLs and verifies their accessibility to ensure your documentation doesn't point to 404 pages or outdated resources.

Does it provide specific instructions on how to fix errors?

Every audit report includes a 'Detailed Issues' section that specifies the file location, the impact of the error, and a concrete recommendation for the fix.

How do I trigger a documentation audit?

You can activate the skill by asking Claude to 'validate docs', 'check documentation', or 'run a full documentation audit' within your repository.

What parts of the documentation are checked for completeness?

The skill checks for module READMEs, class and property documentation, usage examples, user guides, and technical API signatures.

Logseq Docs Quality Validator

Name: Logseq Docs Quality Validator
Author: C0ntr0lledCha0s

byC0ntr0lledCha0s

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Content Management

Validates and audits documentation for Logseq projects to ensure completeness, technical accuracy, and consistent formatting.

About

The Logseq Docs Quality Validator transforms Claude into a documentation expert specifically tailored for the Logseq Template Graph ecosystem. It systematically scans markdown files to identify broken internal and external links, detects missing module READMEs, and verifies the accuracy of technical code examples. By checking for consistent terminology and proper header hierarchy, it provides developers with a prioritized roadmap of actionable fixes to ensure high-quality project resources for end-users and contributors alike.

Key Features

Technical accuracy verification for code snippets and command outputs
Comprehensive quality reporting with prioritized severity levels and suggested fixes
Module documentation coverage analysis across all project sub-directories
Automated broken link detection for internal relative paths and external URLs
1 GitHub stars
Markdown formatting validation including header hierarchy and list syntax

Use Cases

Identifying undocumented classes and missing README files in modular repositories
Performing a full documentation audit before a major project release
Standardizing project terminology and style across disparate guide files

About

Key Features

Technical accuracy verification for code snippets and command outputs
Comprehensive quality reporting with prioritized severity levels and suggested fixes
Module documentation coverage analysis across all project sub-directories
Automated broken link detection for internal relative paths and external URLs
1 GitHub stars
Markdown formatting validation including header hierarchy and list syntax

Use Cases

Identifying undocumented classes and missing README files in modular repositories
Performing a full documentation audit before a major project release
Standardizing project terminology and style across disparate guide files