immortal-skill

Distill a digital persona from chats, social platforms, and documents.

4|Updated Apr 7, 2026

Search Tags:#ai-agent #data-privacy #memory-extraction #role-based #digital-persona #multisource-data

Ready to run

npx skills add https://github.com/zhangziyana007-sudo/skiller-community --skill immortal-skill

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: immortal-skill
Source: https://github.com/zhangziyana007-sudo/skiller-community/tree/main/skills/%E6%B0%B8%E7%94%9F
Command: npx skills add https://github.com/zhangziyana007-sudo/skiller-community --skill immortal-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Distill a person's digital persona from across chats, social platforms, and documents.

Core Features & Use Cases

Distill multi-source data into consistent persona representations for AI agents.
Support 7 role templates (self, colleague, mentor, family, partner, friend, public-figure) across 12+ data platforms.
Phase-driven workflow including ethical checks, multi-dimensional extractions, conflict resolution, and packaging.

Quick Start

Distill a target's digital persona by selecting a role and following the phase-based workflow to collect data and generate your agent.

Frequently Asked Questions about immortal-skill

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

FAQPage Schema

How do I create an AI agent from a person's multi-source digital data?▼

To create an AI agent from multi-source digital data, you distill a person's digital persona across chats, social platforms, and documents into a reusable Skill package. This workflow supports data ingestion, role selection, and multi-dimensional extraction.

What is digital persona distillation and how does it work for AI agents?▼

Digital persona distillation extracts a person's characteristics from chats, social media, and documents to generate consistent AI agent representations. It works through end-to-end data ingestion, multi-dimensional extraction, and evidence-based merging to package the persona.

Can I build AI-assisted agents for specific relationships like mentors or colleagues?▼

Yes, you can build AI-assisted agents for mentors, colleagues, and other specific relationships using role-based templates. The workflow supports 7 role templates including self, partner, family, friend, and public-figure across 12+ data platforms.

How do I resolve conflicts when merging multi-source data for a role-based persona?▼

To resolve conflicts when merging multi-source data for a role-based persona, the workflow applies evidence-based merging during the multi-dimensional extraction phase. This ensures consistent persona representations despite contradictory input data.

Does the digital persona extraction process include data privacy and ethics checks?▼

Yes, the digital persona extraction process includes built-in ethics checks and data privacy considerations. The phase-driven workflow integrates these ethical safeguards before multi-dimensional extraction and packaging into a reusable format.

What are the limitations of distilling a public figure's persona from social platforms?▼

Limitations of distilling a public figure's persona include potential data biases from platform-specific algorithms and fragmented context. The evidence-based merging phase helps mitigate conflicts, but multi-source ingestion accuracy depends on available document and chat data.