Skillget

digital-twin-of-yourself

skill
Guvenlik Denetimi
Uyari
Health Uyari
  • License — License: MIT
  • Description — Repository has a description
  • Active repo — Last push 0 days ago
  • Low visibility — Only 9 GitHub stars
Code Uyari
  • Code scan incomplete — No supported source files were scanned during light audit
Permissions Gecti
  • Permissions — No dangerous permissions requested
Purpose
This tool provides a structured workflow and set of prompts to analyze your writing style and decision-making processes, ultimately generating a highly personalized AI System Prompt (a "Digital Twin") that works across any Large Language Model.

Security Assessment
The overall risk is Low. This project is primarily a collection of Markdown prompt templates rather than executable code. Because of this, it does not run shell commands, make network requests, or request dangerous system permissions. However, the core function involves feeding personal writing samples and local files into an external AI (like Claude or ChatGPT). The primary security risk is user-initiated data privacy: if you scan local documents without scrubbing them first, you could unintentionally expose sensitive personal or business data to a third-party LLM provider.

Quality Assessment
The project uses the permissive MIT license and is accompanied by a clear, detailed README. The repository was recently updated, indicating active maintenance by the creator. The main concern is low community visibility. With only 9 GitHub stars, the tool has not been widely tested or peer-reviewed by the broader developer community. Additionally, because it consists largely of unscanned Markdown files rather than standard code, automated security auditing tools cannot verify its internal safety.

Verdict
Safe to use, provided you carefully redact any sensitive or private information from your writing samples before feeding them into an external AI.
SUMMARY

Reverse-engineer how you think, talk, and make decisions — then turn it into a stress-tested AI System Prompt. Works on any LLM. Full pipeline with Claude Code.

README.md

Digital Twin of Yourself

Reverse-engineer how you think, talk, and make decisions — then turn it into a reusable AI System Prompt.

Built by WhyStrohm — embedded creative engine for founder-led brands.

Demo

The Difference a Twin Makes

Scenario Generic AI With a Twin
Client ghosted your proposal "I hope you're doing well! I wanted to follow up on the proposal I sent over..." "12 days of silence after a $12K proposal means one of two things: scope mismatch or timing mismatch..."
Teammate suggests a worse approach "That's an interesting idea! I can definitely see the appeal of something more straightforward..." "That's not simpler — that's labor disguised as simplicity..."
Pitching a new client "Great to connect! [Referrer] spoke really highly of you and your brand..." "[Referrer] made the intro — so I'll skip the preamble and go straight to the structural problem..."

→ See full before/after comparisons

What This Does

This is a persona extraction workflow that analyzes your writing to build a "Digital Twin" — a System Prompt that makes any AI replicate your voice, judgment, and decision-making logic.

It's not a personality quiz. It reads how you actually communicate and extracts:

  • Linguistic Fingerprint — vocabulary, metaphor style, crutch words, formatting habits
  • Cognitive Pattern — how you organize information and solve problems
  • Decision Logic — the rules you use (consciously or not) to say yes or no
  • Knowledge Map — where you go deep vs. where you skim

Then it stress-tests the result to make sure it holds under pressure.

Three Depth Levels

Level Tool Data Source Depth
Layer 1 Any LLM (ChatGPT, Gemini, Claude, etc.) Paste your writing samples ~70%
Layer 2 Claude with memory enabled Pulls from conversation history ~85%
Layer 3 Claude Code or Cowork Scans your actual local files ~100%

Quick Start

Layer 1 — Any LLM (ChatGPT, Gemini, Claude, etc.)

  1. Copy the contents of EXTRACTION_PROMPT.md
  2. Paste into a new chat in any LLM
  3. Add your writing samples at the bottom (5+ pages recommended)
  4. Let it run all phases including the stress test

Layer 2 — Claude with Memory

  1. Open a new chat in Claude (memory must be enabled)
  2. Paste the contents of EXTRACTION_PROMPT.md
  3. No writing samples needed — Claude pulls from your conversation history
  4. Let it run all phases

Layer 3 — Claude Code (Full Extraction)

  1. Create a folder with your writing: mkdir ~/digital-twin-scan
  2. Copy your files in (scrub sensitive details first)
  3. Paste the contents of CLAUDE_CODE_PROMPT.md into Claude Code
  4. Follow the 7-step pipeline — includes quantitative analysis and visual dashboard

As a Claude Skill

Upload digital-twin-skill.zip to Claude.ai (Settings > Skills) or drop SKILL.md into ~/.claude/skills/digital-twin/

What's In This Repo

├── README.md ................. You're here
├── CHANGELOG.md .............. Version history
├── EXTRACTION_PROMPT.md ...... Universal prompt (any LLM)
├── CLAUDE_CODE_PROMPT.md ..... Full 7-step pipeline with file scanning
├── SKILL.md .................. Claude Code / Claude.ai skill
├── digital-twin-skill.zip .... Upload-ready for Claude.ai
├── SAFETY_CHECKLIST.md ....... Pre-paste, pre-scan, pre-share rules
├── LICENSE ................... MIT
├── assets/ ................... Demo GIF and social preview
├── examples/
│   ├── before-after/ ......... 3 side-by-side comparisons
│   └── sample-profiles/ ...... 3 complete Twin profiles
└── validation/
    ├── RUBRIC.md ............. 10-dimension weighted scoring
    ├── STRESS_TESTS.md ....... 15 adversarial prompts
    └── SCORED_EXAMPLE.md ..... Worked scoring example (7.75/10)

Validate Your Twin

Don't guess whether your Twin is good. Measure it.

  • Scoring Rubric — 10 weighted dimensions. Voice Accuracy and Decision Consistency carry 30% of the score. Below 7.0 needs rework.
  • 15 Stress Tests — adversarial prompts across 5 categories: high stakes, conflict, ambiguity, context shift, edge cases.
  • Scored Example — a Founder/CEO Twin scored at 7.75/10. See exactly where it passed and where the AI tells leaked through.

A strong Twin passes 12+ of 15 stress tests with a weighted score above 7.0.

Example Output (Layer 3)

Running the full extraction on 60 files (27,342 words) produced:

Quantitative findings:

  • Zero hedging instances ("I think," "maybe," "perhaps") across the entire corpus
  • Dominant metaphor family: Architectural/Structural (309 instances)
  • Top crutch phrase: "content infrastructure" (26x)
  • Sentence structure: 46% short (punchy), 35% medium, 19% long
  • 97% declarative sentences, 0% questions

The stress test:

"$50K for manual labor — prestigious but breaks every rule in your Decision Logic."

The Twin declined, explained why using the extracted logic framework, and counter-pitched a systems version. Which is exactly what the subject would have done.

The surprising pattern:

"You build measurement tools you don't use. The Content Spiral names this exact pattern in your clients. It may also be yours."

Layer 3 also generates a visual dashboard with word frequency clouds, topic cluster maps, metaphor breakdowns, and tone spectrum charts — saved as an HTML file you open in your browser.

Dashboard

Safety

The prompt itself doesn't collect data, call APIs, or execute code. The risk is in what you paste into it.

Rules:

  1. Only paste YOUR writing. Never client data or coworker messages.
  2. Scrub names, dollar amounts, and identifying details before pasting.
  3. The prompt extracts principles, not data — no names in the output.
  4. Share your patterns freely. Keep the System Prompt private.
  5. Layer 3: create a dedicated folder. Never scan your entire home directory.
  6. Once AI reads a file, it's in the session. Scrub BEFORE you scan.

Full checklist in SAFETY_CHECKLIST.md.

What's Next

Once you have your Twin, score your published content against it:

  • Content Audit — 5-layer diagnostic that scores your content and rewrites one piece live
  • Voice Scorer — measures drift between your website voice and social content

Changelog

See CHANGELOG.md for version history.

License

MIT — use it, fork it, improve it.

Built by WhyStrohm — I become your brand's creative engine.

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