DHDNA Profiler — Cognitive Pattern Extraction

SkillDev tools

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.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the DHDNA Profiler — Cognitive Pattern Extraction skill

What this skill tells your AI

The instructions your AI receives, as published by lamm-mit/scienceclaw in skills/dhdna-profiler/SKILL.md and read by ahel’s review.

Overview

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.

Core System

The framework uses 12 cognitive dimensions scored on a 1–10 scale:

  • Analytical Depth
  • Creative Range
  • Emotional Processing
  • Linguistic Precision
  • Ethical Reasoning
  • Strategic Thinking
  • Memory Integration
  • Social Intelligence
  • Domain Expertise
  • Intuitive Reasoning
  • Temporal Orientation
  • Metacognition

These dimensions exist in 6 tension pairs that reveal cognitive style:

  • Analytical ↔ Intuitive (logic vs. gut)
  • Emotional ↔ Strategic (heart vs. head)
  • Creative ↔ Ethical (freedom vs. framework)
  • Linguistic ↔ Metacognitive (expression vs. self-awareness)
  • Memory ↔ Temporal (past vs. time-horizon)
  • Social ↔ Domain (people skills vs. technical depth)

Methodology

The profiling process unfolds through four phases:

  1. Evidence Collection - Identifying textual patterns
  2. Scoring - Rating each dimension with citations
  3. Pattern Synthesis - Identifying dominant/shadow patterns and reasoning topology
  4. Profile Output - Structured presentation of findings

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.

Key Distinctions

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.

Key Workflows

  • Author characterization and communication style assessment
  • Team composition analysis for collaborative projects
  • Decision-making pattern identification
  • Thinking topology mapping
  • Cognitive strengths and blind spots analysis

Best Practices

Provide substantial writing samples for accurate profiling. The system works best with 5,000+ words of authentic thinking from the target subject.

Signals

GitHub stars
242
Forks
42
Last commit
Aug 2026
Advanced
Catalog kind
skill
Gateway key
dhdna-profiler-lamm-mit
Source
github.com/lamm-mit/scienceclaw