dhdna-profiler▌
K-Dense-AI/scientific-agent-skills · updated Jun 4, 2026
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### Dhdna Profiler
- ›name: "dhdna-profiler"
- ›description: "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, co..."
- ›allowed-tools: "Read Write"
| name | dhdna-profiler |
| description | 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 author's reasoning patterns, decision-making style, or cognitive signature. |
| allowed-tools | Read Write |
| license | MIT license |
| metadata | version: "1.0" skill-author: AHK Strategies (ashrafkahoush-ux) |
DHDNA Profiler — Cognitive Pattern Extraction
A structured system for extracting the cognitive fingerprint of any text's author. Based on the Digital Human DNA (DHDNA) framework — the theory that every mind has a unique signature pattern expressed through how it reasons, decides, values, and communicates.
Published research: DHDNA Pre-print (DOI: 10.5281/zenodo.18736629) | IDNA Consolidation v2 (DOI: 10.5281/zenodo.18807387)
Core Concept
Just as biological DNA encodes physical identity through base pairs, Digital Human DNA encodes cognitive identity through thinking patterns. Every person's combination of analytical depth, creative range, emotional processing, strategic thinking, and ethical reasoning creates a unique cognitive signature — as distinctive as a fingerprint.
The profiler doesn't judge thinking as "good" or "bad." It maps the topology of how a mind works.
The 12 Cognitive Dimensions
When profiling text, score each dimension on a 1–10 scale based on evidence in the text:
| # | Dimension | What It Measures | Low Score (1-3) | High Score (8-10) |
|---|---|---|---|---|
| 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 |
The 6 Tension Pairs
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 |
How to Profile
Phase 1 — Evidence Collection
Read the text carefully. For each dimension, identify specific textual evidence:
- Direct quotes that demonstrate the dimension
- Structural patterns (how arguments are built)
- What's present AND what's absent (gaps reveal as much as content)
- Recurring patterns across multiple passages
Phase 2 — Scoring
For each of the 12 dimensions:
- Score 1-10 based on evidence
- Cite the strongest textual evidence for that score
- Flag confidence level: HIGH (multiple clear signals), MEDIUM (some signals), LOW (inferred)
Phase 3 — Pattern Synthesis
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?
- Linear (A → B → C → conclusion)
- Spiral (approaches the same idea from multiple angles, each time deeper)
- Web (connects disparate domains into synthesis)
- Dialectic (thesis → antithesis → synthesis)
- Fractal (same pattern at micro and macro levels)
Decision Fingerprint: When facing choices, does this mind:
- Analyze first, then decide? (Analytical-dominant)
- Feel first, then rationalize? (Emotional-dominant)
- Envision the outcome first, then work backward? (Strategic-dominant)
- Question the question itself? (Metacognitive-dominant)
Phase 4 — Profile Output
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]
═══════════════════════════════════════════
Comparison Mode
When the user provides two or more texts from different authors, produce individual profiles and then a comparison synthesis:
- Where do the minds converge? (shared high dimensions)
- Where do they diverge? (opposing scores on the same dimension)
- Which tension pairs would create productive disagreement?
- If these minds were in a room together, what would the conversation look like?
Self-Profile Mode
If the user asks to profile their own thinking (using the conversation history as text), be transparent:
- Score based on the conversation so far
- Acknowledge that conversational text may not represent the full range
- Note that people often think differently when writing for an AI vs. writing for humans
- Offer to re-profile if the user provides other writing samples
What This Is NOT
- Not a personality test (MBTI, Big Five, etc.) — those measure behavioral tendencies, DHDNA measures cognitive architecture
- Not a judgment of intelligence — a chess grandmaster and a poet may score very differently but both demonstrate profound cognitive capability
- Not static — a person's DHDNA evolves as they learn, experience, and grow. A profile is a snapshot, not a destiny.
Built By
AHK Strategies — AI Horizon Knowledge Full platform: themindbook.app Research: DHDNA Paper (DOI: 10.5281/zenodo.18736629)
How to use dhdna-profiler on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add dhdna-profiler
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches dhdna-profiler from GitHub repository K-Dense-AI/scientific-agent-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate dhdna-profiler. Access the skill through slash commands (e.g., /dhdna-profiler) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★51 reviews- ★★★★★Kofi Jain· Dec 24, 2024
Registry listing for dhdna-profiler matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Maya Huang· Dec 24, 2024
I recommend dhdna-profiler for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Maya Ramirez· Dec 16, 2024
Solid pick for teams standardizing on skills: dhdna-profiler is focused, and the summary matches what you get after install.
- ★★★★★Diego Ndlovu· Nov 19, 2024
Keeps context tight: dhdna-profiler is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Ama Perez· Nov 15, 2024
Useful defaults in dhdna-profiler — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Evelyn Torres· Nov 15, 2024
dhdna-profiler reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Sakshi Patil· Nov 7, 2024
dhdna-profiler is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Camila Jackson· Nov 7, 2024
We added dhdna-profiler from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Diego Johnson· Nov 3, 2024
dhdna-profiler fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Chaitanya Patil· Oct 26, 2024
Keeps context tight: dhdna-profiler is the kind of skill you can hand to a new teammate without a long onboarding doc.
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