Why does it use three criticality levels?

Criticality levels (Fundamental, Major, Secondary) allow you to prioritize fixing core architectural errors before addressing minor optimizations or optional integrations.

How many items does the checklist typically generate?

It generates between 80 to 150 items to ensure exhaustive coverage of all technical claims, dependencies, and configurations.

Can this skill automatically update my documentation?

No, it generates a structured validation framework. You or another AI agent then use that checklist to perform research and implement updates based on the findings.

What types of documents can this skill validate?

It is designed for any technical document, including architecture specifications, API guides, READMEs, and implementation plans.

Is the output compatible with other AI tools?

Yes, the checklist is exported in standard Markdown, making it easy to share with other agents like Gemini or ChatGPT to automate the fact-checking process.

Technical Documentation Validation Framework

Name: Technical Documentation Validation Framework
Author: sebc-dev

bysebc-dev

•

学习与文档

Generates exhaustive, high-depth validation checklists to ensure technical documentation accuracy, freshness, and architectural integrity.

关于

This skill implements a rigorous methodology for auditing technical documentation by transforming documents into actionable, research-ready checklists. It systematically extracts technical claims—ranging from framework versions and API statuses to architectural patterns—and categorizes them across eight property types and three criticality levels. By producing exhaustive checklists of 80-150 items, it enables developers and AI agents to conduct deep-dive research into the 'freshness' and accuracy of technical content, ensuring that documentation remains a reliable, up-to-date source of truth.

主要功能

Identifies 15-30 external research sources for bidirectional fact-checking and traceability.
Prioritizes findings using a three-level criticality framework (Fundamental, Major, Secondary).
1 GitHub stars
Organizes validation tasks across 12 standard technical domains like Security and Infrastructure.
Generates exhaustive 80-150 item validation checklists for deep-dive audits.
Categorizes claims into 8 property types including versioning, compatibility, and deprecation.

使用场景

Auditing legacy documentation for outdated API references and deprecated architectural patterns.
Generating structured research tasks for AI subagents to verify technical claims against official sources.
Pre-release quality assurance for new technical specifications or system architecture documents.

关于

主要功能

Identifies 15-30 external research sources for bidirectional fact-checking and traceability.
Prioritizes findings using a three-level criticality framework (Fundamental, Major, Secondary).
1 GitHub stars
Organizes validation tasks across 12 standard technical domains like Security and Infrastructure.
Generates exhaustive 80-150 item validation checklists for deep-dive audits.
Categorizes claims into 8 property types including versioning, compatibility, and deprecation.

使用场景

Auditing legacy documentation for outdated API references and deprecated architectural patterns.
Generating structured research tasks for AI subagents to verify technical claims against official sources.
Pre-release quality assurance for new technical specifications or system architecture documents.