skills/dhdna-profiler/SKILL.md
Cognitive pattern extraction system that maps unique thinking fingerprints through structured analysis of reasoning, creativity, emotion, and ethics. Identifies decision patterns and thinking topology. Use for author characterization, team composition analysis, and cognitive style assessment.
npx skillsauth add lamm-mit/scienceclaw dhdna-profilerInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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The DHDNA Profiler is a cognitive pattern extraction system that maps the unique thinking fingerprint of any author through structured analysis. Based on the Digital Human DNA framework, it treats every mind's combination of reasoning, creativity, emotion, and ethics as a distinctive signature.
The framework uses 12 cognitive dimensions scored on a 1–10 scale:
These dimensions exist in 6 tension pairs that reveal cognitive style:
The profiling process unfolds through four phases:
The system identifies how minds move through ideas—whether linear, spiral, web-based, dialectical, or fractal—and maps decision fingerprints showing whether thinking prioritizes analysis, emotion, strategic vision, or metacognitive questioning.
The profiler differs fundamentally from personality frameworks. It measures cognitive architecture rather than behavioral tendencies, makes no intelligence judgments, and acknowledges that thinking patterns evolve over time.
Provide substantial writing samples for accurate profiling. The system works best with 5,000+ words of authentic thinking from the target subject.
tools
Onboard and manage Paperclip AI for research-paper knowledge and agent orchestration
development
Perform AI-powered web searches with real-time information using Perplexity models via LiteLLM and OpenRouter. This skill should be used when conducting web searches for current information, finding recent scientific literature, getting grounded answers with source citations, or accessing information beyond the model knowledge cutoff. Provides access to multiple Perplexity models including Sonar Pro, Sonar Pro Search (advanced agentic search), and Sonar Reasoning Pro through a single OpenRouter API key.
testing
Generate a structured scientific PDF report from a JSON description. Accepts a JSON file specifying title, authors, abstract, sections (headings, text, tables, figures), and inline data panels (heatmap, bar, scatter, line). Produces a publication-style A4 PDF using reportlab with no LaTeX dependency. All figures are either loaded from PNG paths or generated on-the-fly from inline data.
development
Execute arbitrary Python code and return stdout. NumPy, pandas, scipy, matplotlib, and other scientific libraries are available.