huashu-nuwa

To distill thinking into a cognitive skill, this framework extracts a public figure's mental models through six-layer cognitive extraction, triple verification, and generates a self-contained SKILL.md with frontmatter for production use.

Mental model distillation is the process of extracting how a figure speaks, thinks, judges, and their honest limits, then structuring that data into a runnable cognitive operating system usable for decision-support.

You extract mental models by deploying six parallel research agents to analyze a figure's cognition, verify the data three times, and output a production-ready skill template for ideation or coaching.

Yes, yt-dlp is required as a dependency to gather source material, which the six-agent research framework then processes to generate the mental models and the final skill template.

The best way to structure a skill template from raw research is using a six-layer cognitive extraction framework that produces triple-verified mental models and a self-contained SKILL.md frontmatter.

Limitations include relying on available public data for the six-layer extraction, requiring yt-dlp for source gathering, and the inherent challenge of verifying a public figure's self-consistency and honest limits.