A structured personality profiling framework that combines Jungian psychology, MBTI, and behavioral data to generate quantifiable metadata profiles.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install self-distill-skill
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install self-distill-skill using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Self-Distill Skill (Personality Metadata Framework)?
The Self-Distill Skill is a sophisticated personality metadata framework designed to deconstruct and analyze individuals, fictional characters, or historical figures. Deeply rooted in Jungian analytical psychology and cognitive developmental theory, this framework translates complex human behaviors into structured, quantifiable, and highly analyzable multidimensional components.
By leveraging this skill within the ecosystem of Openclaw Skills, AI agents and developers can map an entity's psyche across consciousness layers, archetypes, cognitive functions, and developmental dynamics. This structured approach moves beyond simple labeling, providing a rich systemic map of motivations, interpersonal relationships, and growth trajectories.
Self-Distill Skill (Personality Metadata Framework) Use Cases
- Character Profiling & Analysis: Create deep psychodynamic profiles for literary characters, historical figures, or public personalities.
- Self-Awareness & Growth: Map personal cognitive patterns, identify shadow elements, and outline developmental pathways for individuation.
- Relationship & Interaction Modeling: Diagnose interpersonal dynamics, projection mechanisms, and communication strategies between multiple profiled personas.
- AI Agent Persona Synthesis: Craft highly consistent, psychologically realistic AI agents by defining their core metadata files.
How Self-Distill Skill (Personality Metadata Framework) Works
- Information Gathering: Collect multi-tiered behavioral records, quotes, achievements, and background context (L1 to L4 data hierarchy).
- Consciousness Structuring: Determine the subject's primary orientation (introversion vs. extraversion) and map their superficial Ego functions.
- Archetype Identification: Isolate key archetypal components including the Persona (social mask), Anima/Animus, Shadow, and Self.
- Cognitive Function Deduction: Infer the cognitive matrix using the 8-function model (Se, Si, Ne, Ni, Te, Ti, Fe, Fi) and map auxiliary functions.
- Synthesis & Output Generation: Compile the findings into a standardized markdown file (
soul.md) containing structural, functional, and relational metadata.
Self-Distill Skill (Personality Metadata Framework) Setup
To deploy and configure this framework inside your environment, save the standard analytical template and initialize your data directory:
# Initialize directory structure for your profiles
mkdir -p personality-vault/profiles personality-vault/sources
# Create a standard template file for the personality metadata
touch personality-vault/profiles/soul_template.md
Ensure your AI agent has read access to the input source documents (txt, markdown, or transcripts) and write access to the target output directory to successfully run Openclaw Skills profiling tasks.
Self-Distill Skill (Personality Metadata Framework) Data Schema & Taxonomy
The framework strictly organizes its profiling metadata using hierarchical tiers and structured output formats.
Data Input Stratification (L1 - L4)
| Level | Data Type | Requirement | Description |
|---|---|---|---|
| L1 | Basic Public Information | Required | Background, major achievements, social evaluations, and demographics. |
| L2 | Behavioral Patterns | Recommended | Expression style, speeches, interviews, and direct quotes. |
| L3 | Relational Dynamics | Ideal | Interpersonal relationships, feedback, and mutual evaluations. |
| L4 | Raw Primary Sources | Best | Unaltered video, audio, and firsthand interviews (uncensored). |
Structured Output Schema (soul.md)
Generated profiles are exported in the following markdown schema:
- Structural Layers: Mapping of Ego, Personal Unconscious (Complexes), and Collective Unconscious (Archetypes).
- Archetypal Components: Analysis of Persona, Anima/Animus, Shadow, and the Self.
- Types & Functions: Ego attitudes, cognitive functions, and simplified 16-personality (MBTI) profiles.
- Dynamics & Development: Psychological energy distribution (Libido) and life-stage developmental focus.
- Interpersonal Systems: Mask interactions, projection dynamics, and leadership/influence profiles.
Self-Distill Skill (Personality Metadata Framework) Advanced Features
- Dynamic Mapping: Tracks personality fluctuations and changes in cognitive stack priority over time and under stressful conditions.
- Cross-Verification Logic: Uses deductive rules to infer auxiliary cognitive functions based on observed dominant extroverted/introverted attitudes.
- Shadow Integration Framework: Identifies repressed psychological components (Shadows) and suggests constructive paths for psychological synthesis.
SKILL.md
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