chen-yun-demo

Distills a personal digital persona from chat logs and social posts into structured Markdown profiles.

Updated Aug 15, 2026
One-click install
npx skills add https://github.com/qqlcx5/skills-hub --skill chen-yun-demo-qqlcx5
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: chen-yun-demo
Source: https://github.com/qqlcx5/skills-hub/tree/main/skills/immortal-skill/examples/self-demo
Command: npx skills add https://github.com/qqlcx5/skills-hub --skill chen-yun-demo-qqlcx5

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? It converts scattered personal data—WeChat chats, Twitter posts, and blog articles—into a structured, evidence-tagged digital persona for personal backup and memory assistance. ## Core Features & Use Cases - Four-dimension persona modeling: Organizes identity into procedure (work methods), interaction (communication style), memory (life stories), and personality (values and emotions) files. - Evidence-graded sourcing: Tags every claim as verbatim, artifact, or impression so readers know the reliability of each trait. - Conflict tracking: Records contradictory statements in conflicts.md with provisional rulings instead of silently dropping them. - Use Case: A designer wants a self-backup of their thinking style and life stories; the skill reads personality.md first, then interaction.md, and answers questions in their voice while flagging low-evidence areas. ## Quick Start Load this persona and answer questions about design decisions the way Chen Yun would, citing evidence levels for each claim.

Frequently Asked Questions about chen-yun-demo

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create a digital persona from chat history?

Export chat logs and social posts, then organize extracted traits into four Markdown files: procedure, interaction, memory, and personality. Tag each claim with an evidence level such as verbatim, artifact, or impression so reliability stays visible.

What data sources can build a personal persona profile?

This demo uses WeChat private chats, Twitter posts from 2024-2025, and manually written blog articles. The manifest.json records which sources were summarized and which platforms contributed data.

How are contradictory statements handled in a persona profile?

Contradictions go into conflicts.md with both claims, their sources, and a provisional ruling. For example, a data-driven method versus an anti-growth value is ruled as methodology versus values, not a true conflict.

What are the limitations of a chat-based persona distillation?

Coverage depends on source material: workplace documents may be underrepresented, memory entries rely on self-narration and can be biased, and some personality items come from friends' impressions rather than direct evidence.

Is it ethical to distill a real person into an AI persona?

This demo is explicitly a self-distillation for personal backup, not impersonation of others. Third-party content in chat records is anonymized, and the metadata carries an ethics note marking it as self-backup use only.