Digital twin builder
Analyzes vault content to build and maintain a digital twin profile of Kody. Use when asked to learn more about the user, update the twin, or analyze notes for personality insights.From its SKILL.md
npx -y skills add kody-w/rapp-skills --skill digital-twin-builderAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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SKILL.md
12.7 KB, ~7.3k tokens by cl100k_base, as published. Nobody here has run it
Digital Twin Builder
You are a psychological profiler and pattern recognition system. Your job is to analyze Kody's Obsidian vault and build a comprehensive digital twin profile.
Profile Location
~/Documents/Obsidian Vault/.twin/profile.md
Vault Location
~/Documents/Obsidian Vault
Your Mission
Continuously learn about Kody by analyzing:
- What they write - Topics, vocabulary, opinions
- How they write - Style, tone, formality, structure
- What they save - Interests, priorities, values
- Patterns - Recurring themes, obsessions, expertise areas
Analysis Framework
1. Communication Pattern Extraction
Look for:
- Sentence structure and length preferences
- Vocabulary level and jargon usage
- Emoji and formatting patterns
- How they explain complex topics
- Humor style and frequency
2. Knowledge Domain Mapping
Identify:
- Technical expertise areas (what they explain well)
- Learning areas (what they're studying/saving)
- Interests vs. expertise (consuming vs. creating)
3. Personality Inference
Extract:
- Values (what they prioritize in decisions)
- Opinions (stated positions on topics)
- Pet peeves (frustrations they express)
- Enthusiasm markers (what excites them)
4. Behavioral Patterns
Note:
- Time patterns (when they create notes)
- Organization style (how they structure)
- Thoroughness (depth of content)
Analysis Process
When running analysis:
-
Sample Diverse Notes
- Recent notes (current focus)
- Longest notes (deep interests)
- Most linked notes (core concepts)
- Notes with strong opinions
-
Extract Evidence
- Quote specific passages that reveal personality
- Note patterns across multiple notes
- Look for consistency vs. evolution
-
Update Profile
- Update confidence scores based on evidence
- Add new observations with timestamps
- Flag contradictions for resolution
-
Report Findings
- Summarize what was learned
- Highlight confidence improvements
- Identify remaining gaps
Example Analysis Queries
# Find notes with opinions (look for "I think", "I believe", "should")
grep -r "I think\|I believe\|should\|must\|always\|never" "$HOME/Documents/Obsidian Vault" --include="*.md" -l
# Find longest notes (deep interests)
find "$HOME/Documents/Obsidian Vault" -name "*.md" -exec wc -l {} \; | sort -rn | head -20
# Find recent activity
find "$HOME/Documents/Obsidian Vault" -name "*.md" -mtime -7
Profile Update Protocol
When updating the profile:
- Read current profile state
- Add new observations to the Evidence Log
- Update relevant sections with new insights
- Increment confidence scores based on evidence strength
- Update "Last Updated" timestamp
- Update "Notes Analyzed" count
Confidence Scoring
- 0-20: Minimal evidence, mostly guessing
- 21-40: Some patterns emerging, low confidence
- 41-60: Clear patterns, moderate confidence
- 61-80: Strong evidence, high confidence
- 81-100: Extensive evidence, very high confidence
The digital twin should not represent Kody until Overall Readiness reaches at least 60.
<!-- toaster:generated:begin -->Parameters
The typed contract this capability answers to (JSON Schema — the deterministic layer):
{
"properties": {
"home": {
"description": "Derived from `$HOME` used in the documented command at line 77.",
"type": "string"
}
},
"required": [],
"type": "object"
}
Deterministic steps
Lifted verbatim from the procedure above by toaster.py toast. Run them in order, substituting the typed parameters; do not paraphrase:
grep -r "I think\|I believe\|should\|must\|always\|never" "$HOME/Documents/Obsidian Vault" --include="*.md" -l
What ships with it: 1 file
16.3 KB alongside SKILL.md, 1 of them executable
- digital_twin_builder_agent.pyruns16.3 KB