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Get Started Free →Extract cognitive patterns and thinking fingerprints from any text. Use this skill when the user wants to analyze how someone thinks, understand cognitive style, profile writing or speech patterns, compare thinking styles between people, asks "what's my thinking style", "analyze how this person reasons", "cognitive profile", "thinking pattern", "DHDNA", "digital DNA", or wants to understand the mind behind any text. Also trigger when the user provides text and wants deeper insight into the autho
.claude/skills/mkurman-dhdna-profiler/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-03 | ✗→✓ | ▲ Improved | 65% | 0% |
| case-13 | ✗→✓ | ▲ Improved | 62% | 0% |
| case-14 | ✗→✓ | ▲ Improved | 119% | 0% |
| case-15 | ✗→✓ | ▲ Improved | 61% | 0% |
| case-22 | ✗→✓ | ▲ Improved | 93% | 0% |
--------------------- | ---------------------------------------------------------------- | ---------------------------------- | ------------------------------------------- | | 1 | Analytical Depth | Logical rigor, structured reasoning, causal chains | Intuitive, holistic, pattern-based | Systematic, proof-oriented, precise | | 2 | Creative Range | Novelty of connections, metaphor use, lateral thinking | Conventional, incremental | Paradigm-breaking, cross-domain synthesis | | 3 | Emotional Processing | Emotional vocabulary, empathy signals, affect integration | Detached, clinical | Emotionally rich, feeling-integrated | | 4 | Linguistic Precision | Vocabulary sophistication, sentence architecture, rhetoric | Simple, direct | Architecturally complex, nuanced | | 5 | Ethical Reasoning | Values signals, fairness concern, consequence awareness | Pragmatic, outcome-focused | Principle-driven, justice-oriented | | 6 | Strategic Thinking | Long-term planning, competitive awareness, resource optimization | Tactical, reactive | Multi-move, game-theoretic | | 7 | Memory Integration | Reference to past experience, historical patterns, continuity | Present-focused | Deep historical awareness, precedent-driven | | 8 | Social Intelligence | Audience awareness, perspective-taking, relational framing | Self-referential | Deeply other-aware, coalition-building | | 9 | Domain Expertise | Technical depth, specialized knowledge, jargon confidence | Generalist | Deep specialist | | 10 | Intuitive Reasoning | Gut-feel signals, heuristic shortcuts, pattern leaps | Methodical, step-by-step | Leap-of-faith, insight-driven | | 11 | Temporal Orientation | Time-horizon of thinking — past, present, or future focus | Present-anchored | Time-spanning, historical-to-futurist | | 12 | Metacognition | Self-awareness of own thinking, uncertainty acknowledgment | Unreflective | Deeply self-aware, thinks about thinking |
Dimensions exist in tension — high scores on one often correlate with lower scores on its pair. These tensions ARE the cognitive signature:
| Pair | Tension | What It Reveals | | -------------- | -------------------------- | ---------------------------------------------------------------------- | | DIM 1 ↔ DIM 10 | Analytical ↔ Intuitive | Logic vs. Gut — how the mind reaches conclusions | | DIM 3 ↔ DIM 6 | Emotional ↔ Strategic | Heart vs. Head — what drives decisions | | DIM 2 ↔ DIM 5 | Creative ↔ Ethical | Freedom vs. Framework — innovation within or beyond rules | | DIM 4 ↔ DIM 12 | Linguistic ↔ Metacognitive | Expression vs. Self-Awareness — external craft vs. internal reflection | | DIM 7 ↔ DIM 11 | Memory ↔ Temporal | Past vs. Time Itself — experience vs. time-horizon | | DIM 8 ↔ DIM 9 | Social ↔ Domain | Breadth vs. Depth — people skills vs. technical mastery |
Read the text carefully. For each dimension, identify specific textual evidence:
For each of the 12 dimensions:
After scoring, identify:
Dominant Pattern: The 2-3 highest-scoring dimensions — this is the mind's "home base"
Shadow Pattern: The 2-3 lowest-scoring dimensions — this is where the mind doesn't naturally go
Signature Tensions: Which tension pairs show the widest gap? These define the cognitive style more than any individual score.
Reasoning Topology: How does the mind move through ideas?
Decision Fingerprint: When facing choices, does this mind:
Present the profile as:
═══════════════════════════════════════════
DHDNA COGNITIVE PROFILE
Subject: [Name or "Anonymous"]
Text analyzed: [N words / N paragraphs]
Confidence: [HIGH / MEDIUM / LOW]
═══════════════════════════════════════════
DIMENSION SCORES:
1. Analytical Depth ···· [█████████·] 9/10
2. Creative Range ······ [███████···] 7/10
... (all 12)
TENSION MAP:
Analytical ████████░░ ↔ ░░████████ Intuitive
Emotional ███░░░░░░░ ↔ ░░░░░░████ Strategic
... (all 6 pairs)
DOMINANT PATTERN: [Top 2-3 dimensions]
SHADOW PATTERN: [Bottom 2-3 dimensions]
REASONING TOPOLOGY: [Linear / Spiral / Web / Dialectic / Fractal]
DECISION FINGERPRINT: [Analyze-first / Feel-first / Envision-first / Question-first]
NARRATIVE SYNTHESIS:
[2-3 paragraph natural language description of how this mind works,
what makes it distinctive, and what it might miss]
KEY QUOTES:
[3-5 most revealing quotes with dimension attribution]
═══════════════════════════════════════════When the user provides two or more texts from different authors, produce individual profiles and then a comparison synthesis:
If the user asks to profile their own thinking (using the conversation history as text), be transparent:
AHK Strategies — AI Horizon Knowledge Full platform: themindbook.app Research: DHDNA Paper (DOI: 10.5281/zenodo.18736629)
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-04 | pass→fail | 15,677 | 8,410 | -46% | 1 | 1 | 0% | 2,389 | 3,235 | +35% | 0 | 0 | — |
case-01 | fail→fail | 9,062 | 3,369 | -63% | 1 | 1 | 0% | 1,624 | 2,352 | +45% | 0 | 0 | — |
case-02 | fail→fail | 24,461 | 4,878 | -80% | 1 | 1 | 0% | 3,806 | 2,581 | -32% | 0 | 0 | — |
case-03 | fail→pass | 17,487 | 14,950 | -15% | 1 | 1 | 0% | 2,850 | 4,712 | +65% | 0 | 0 | — |
case-05 | fail→fail | 4,089 | 4,870 | +19% | 1 | 1 | 0% | 728 | 2,694 | +270% | 0 | 0 | — |
case-06 | fail→fail | 5,186 | 6,074 | +17% | 1 | 1 | 0% | 855 | 2,815 | +229% | 0 | 0 | — |
case-07 | fail→fail | 11,441 | 4,266 | -63% | 1 | 1 | 0% | 1,826 | 2,476 | +36% | 0 | 0 | — |
case-08 | pass→fail | 13,515 | 4,483 | -67% | 1 | 1 | 0% | 2,068 | 2,468 | +19% | 0 | 0 | — |
case-21 | pass→fail | 18,620 | 3,483 | -81% | 1 | 1 | 0% | 2,877 | 2,333 | -19% | 0 | 0 | — |
case-09 | fail→fail | 7,489 | 3,975 | -47% | 1 | 1 | 0% | 1,123 | 2,405 | +114% | 0 | 0 | — |
case-10 | pass→pass | 12,808 | 5,485 | -57% | 1 | 1 | 0% | 1,920 | 2,647 | +38% | 0 | 0 | — |
case-11 | pass→pass | 10,020 | 5,923 | -41% | 1 | 1 | 0% | 1,542 | 2,682 | +74% | 0 | 0 | — |
case-12 | pass→pass | 11,234 | 4,677 | -58% | 1 | 1 | 0% | 1,744 | 2,585 | +48% | 0 | 0 | — |
case-13 | fail→pass | 9,428 | 3,786 | -60% | 1 | 1 | 0% | 1,464 | 2,378 | +62% | 0 | 0 | — |
case-14 | fail→pass | 11,576 | 12,195 | +5% | 1 | 1 | 0% | 1,818 | 3,978 | +119% | 0 | 0 | — |
case-15 | fail→pass | 16,298 | 12,805 | -21% | 1 | 1 | 0% | 2,543 | 4,094 | +61% | 0 | 0 | — |
case-16 | fail→fail | 6,254 | 3,633 | -42% | 1 | 1 | 0% | 1,048 | 2,368 | +126% | 0 | 0 | — |
case-17 | fail→fail | 8,980 | 3,897 | -57% | 1 | 1 | 0% | 1,394 | 2,392 | +72% | 0 | 0 | — |
case-18 | fail→fail | 10,116 | 6,851 | -32% | 1 | 1 | 0% | 1,585 | 2,908 | +83% | 0 | 0 | — |
case-19 | pass→pass | 13,898 | 12,478 | -10% | 1 | 1 | 0% | 1,992 | 4,142 | +108% | 0 | 0 | — |
case-20 | pass→pass | 15,670 | 14,736 | -6% | 1 | 1 | 0% | 2,284 | 4,386 | +92% | 0 | 0 | — |
case-22 | fail→pass | 13,227 | 12,591 | -5% | 1 | 1 | 0% | 1,951 | 3,767 | +93% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted. The headline lift of +9 percentage points is the difference between those two pass rates over the 22 comparable cases. 3 cases got worse with the skill loaded, and they are included in that figure.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.