huashu-nuwa

Cognitive skill distillation turns public-figure thinking into self-contained, runnable units that load cognitive patterns directly into context. It processes公开 material through six parallel research agents to extract 3–7 core mental models, 5–10 decision heuristics, values, anti-patterns, and expression DNA.

To distill cognitive skills, provide a public figure or topic name to trigger the pipeline. Six parallel research agents extract mental models, expression DNA, and decision heuristics, cross-validate the findings, and output a runnable SKILL.md file with provenance, usage prompts, and activation rules.

Yes, you can compare cognitive operating systems across domains because the distillation process supports incremental updates and cross-skill comparisons. Each extraction yields a standardized SKILL.md, allowing you to map and contrast different leaders' mental models and decision heuristics.

Yes, cognitive framework extraction explicitly maps honest limits and anti-patterns alongside values and expression DNA. The pipeline synthesizes public material to identify what leaders avoid and where their models fail, loading these constraints into the generated SKILL.md for accurate context activation.

The main limitation of distilling cognitive architectures from公开 material is reliance on publicly available data, meaning private or unstated heuristics may be missed. The system mitigates this by applying triple-validation across six parallel agents and documenting provenance within the SKILL.md.