synthesis-fact-checking

What problem does it solve?

This Skill provides a repeatable process for verifying the factual accuracy of blog posts and thought-leadership articles before publication. It is designed for content that synthesizes findings from multiple research sources, including AI deep-research outputs, where errors tend to be subtle rather than obvious.

Core Features & Use Cases

• Claim extraction workflow that builds a verifiable checklist to prevent overlooked verifiable facts.
• Multi-Source Confidence Framework that measures agreement across sources to guide verification priority.
• Verification Hierarchy prioritizing primary sources, with fallbacks to authoritative secondary sources when needed.
• Documentation through a structured fact-check review log and an auditable trail.
• Pre-publish checklist ensuring accuracy, attribution, and temporal integrity.

Quick Start

Start by opening your draft and recording claims in a review log, then verify each claim against primary sources.