agenmod/immortal-skill

• highreadme#1

  Reposition the README's opening to clearly state the project's core function

  原因：

  当前

  # 永生.skill
  
  ### 与其等着被别人蒸，不如先蒸自己。
  
  ### 不蒸馒头争口气！顺便还能蒸馏下身边的人。

  复制粘贴的修复

  复制

  # immortal-skill: 开源数字永生框架 (Open-Source Digital Immortality Framework)
  
  **Distill anyone's seven-dimensional digital twin or AI persona from chat records and digital fragments.**
  Supports WeChat, Feishu, iMessage, Telegram, and 12+ platforms. Aligned with OpenClaw Soul Spec standard.

  待办完成忽略
• mediumabout#2

  Clarify the 'About' description to explicitly mention 'AI persona'

  原因：

  当前

  ♾️ 开源数字永生框架 — 从聊天记录蒸馏任何人的七维数字分身。支持微信/飞书/iMessage/Telegram等12+平台，7种角色模板，对齐 OpenClaw Soul Spec 标准。一行指令让你的AI学会蒸馏。

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  ♾️ 开源数字永生框架：从聊天记录蒸馏任何人的七维数字分身，创建AI人格/数字分身。支持微信/飞书/iMessage/Telegram等12+平台，对齐 OpenClaw Soul Spec 标准。

  待办完成忽略
• lowtopics#3

  Add more specific AI persona/framework topics and reorder for emphasis

  原因：

  当前

  agent-skills, ai-agent, chatbot, cursor, digital-immortality, digital-twin, distillation, feishu, llm, openclaw, persona, soul-spec, wechat

  复制粘贴的修复

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  ai-persona, digital-twin-framework, ai-agent-framework, digital-immortality, distillation, llm, openclaw, soul-spec, chatbot, agent-skills, feishu, wechat, imessage, telegram

  待办完成忽略

本次扫描解析到的品类 GEO 通道：google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• 品类问题

  How to create an AI persona or digital twin from someone's chat history?

  你：未被推荐
  AI 推荐顺序：

  1. WhatsApp
  2. Telegram
  3. Discord
  4. Slack
  5. iMazing
  6. Pandas (pandas-dev/pandas)
  7. NLTK (nltk/nltk)
  8. spaCy (explosion/spaCy)
  9. re module
  10. Word2Vec (RaRe-Technologies/gensim)
  11. FastText (facebookresearch/fastText)
  12. GloVe (stanfordnlp/GloVe)
  13. BERT (huggingface/transformers)
  14. Sentence-BERT (UKPLab/sentence-transformers)
  15. OpenAI GPT-3.5 / GPT-4
  16. Google Gemini
  17. Meta Llama 2 (facebookresearch/llama)
  18. Mistral 7B (mistralai/mistral-src)
  19. LangChain (langchain-ai/langchain)
  20. LlamaIndex (run-llama/llama_index)
  21. Scikit-learn (scikit-learn/scikit-learn)
  22. XGBoost (dmlc/xgboost)
  23. LightGBM (microsoft/LightGBM)
  24. Streamlit (streamlit/streamlit)
  25. Gradio (gradio-app/gradio)
  26. Flask (pallets/flask)
  27. FastAPI (tiangolo/fastapi)
  28. Discord.py (Rapptz/discord.py)
  29. python-telegram-bot (python-telegram-bot/python-telegram-bot)

  AI 推荐了 29 个替代方案，却始终没点名 agenmod/immortal-skill。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  Seeking an open-source framework to distill a person's unique communication style into an AI agent.

  你：未被推荐
  AI 推荐顺序：

  1. Rasa
  2. OpenAI GPT-2/GPT-3
  3. Hugging Face Transformers
  4. DeepPavlov
  5. ParlAI
  6. spaCy

  AI 推荐了 6 个替代方案，却始终没点名 agenmod/immortal-skill。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  pass

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of agenmod/immortal-skill?

  pass
  ✓AI 明确点名了 agenmod/immortal-skill

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• If a team adopts agenmod/immortal-skill in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 agenmod/immortal-skill

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• In one sentence, what problem does the repo agenmod/immortal-skill solve, and who is the primary audience?

  pass
  ✓AI 明确点名了 agenmod/immortal-skill

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？