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TyrantLucifer

@tyrantlucifer source repo

8 published skills

  1. AI News Briefing · tyrantlucifer bundle
    Generate daily AI news briefings — multi-source aggregation, Google News URL decoding, Chinese translation, rich Feishu doc output, cron scheduling.
    0 installs
  2. Hermes Migration · tyrantlucifer bundle
    Migrate or backup Hermes Agent between servers — export/import/verify the full state (config, memories, skills, sessions, cron, gateway). Class-level skill covering any Hermes relocation scenario.
    0 installs
  3. Wechat Autopublish · tyrantlucifer bundle
    Use when the user wants to publish a WeChat personal-subscription article from a topic, Feishu doc, notes, or existing draft. Turn research or source material into a ready-to-publish WeChat article and, when credentials allow, push it to the WeChat Official Account draft box with title/digest/cover/author prepared.
    0 installs
  4. Mihomo Proxy Config · tyrantlucifer bundle
    Set up and configure mihomo (Clash Meta) proxy on Linux servers — installation, DNS for internal networks, AI rule sets, Web UI, systemd service.
    0 installs
  5. Hermes Feishu Gateway · tyrantlucifer bundle
    Operate and troubleshoot Hermes via Feishu (Lark): group authorization, pairing/allowlists, Gateway restarts, markdown rendering, and lark-cli setup.
    0 installs
  6. Hermes Remote Gateway · tyrantlucifer
    Set up Hermes Desktop to connect to a remote Hermes gateway. Covers Dashboard vs API Server distinction, authentication, firewall, and common pitfalls.
    0 installs
  7. Technical Learning Docs · tyrantlucifer bundle
    Create Chinese technical learning documents that teach unfamiliar engineering/AI concepts progressively, especially when a user is preparing for a new technical domain and needs both a detailed guide and a plain-language primer.
    0 installs
  8. Polish Tyrant Tech Writing · tyrantlucifer bundle
    精修、润色、校正 TyrantLucifer 的中文技术文章,尤其适用于 Agent/LLM 生成的博客草稿、源码解析、架构分析、教程、开源项目体验和技术复盘。去除模板化 AI 腔,同时复现 tyrantlucifer.com 历史原创文章中稳定的个人表达:从真实问题或实践切入,跟随代码和现象逐步推演,穿插克制的第一人称判断与轻微吐槽,并诚实说明局限。保留并校验代码、命令、API、产品名、版本、数字、链接、引用和不确定性;也可仅审阅 AI 痕迹、技术表达和文风偏差而不改写。
    0 installs