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llm-wiki-interview

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面试向 LLM Wiki 全流程：Raw 层在 raw/ 沉淀 _research.md、basic/、blog/（见 references/raw-layer.md）；Wiki 层只读 raw/、编译维护 wiki/（实体/概念、index、log，见 references/wiki-layer.md）。触发：建资料包、收录博客、从 raw 导入 wiki、查询、lint、面试备考知识库。关键词：LLM Wiki、raw、wiki、ingest、面试、Obsidian、知识库、用户供稿。

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I want to install this Agent Skill for this project in Codex.

Source SKILL.md: https://github.com/ProgrammerAnthony/Expert-Coding-Harness/blob/HEAD/skills/llm-wiki-interview/SKILL.md

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LLM Wiki Interview（合并技能）

铁律：raw/ 与 wiki/ 分工不同——写资料只按 Raw 层规范；把资料编译成可查询 Wiki 只按 Wiki 层规范，且 ingest 时不得改 raw/。

与两层文件的关系

阶段目录与职责完整规范
Raw 层只写 raw/：唯一检索总账 _research.md、basic/、blog/、assets/；不写 wiki/references/raw-layer.md
Wiki 层只读 raw/，读写 wiki/：实体/概念/摘要页、wiki/index.md、wiki/log.md、图片同步到 wiki/assets/references/wiki-layer.md

衔接：两层只通过同一份 raw/ 对齐——先（或并行由用户维护）在 raw/ 里按 Raw 层落料，再在用户要求「导入 / ingest / 编译 wiki」时按 Wiki 层把内容编译进 wiki/。

何时加载哪一份 reference

  • 用户要做 关键词拆分、检索笔记、basic 长文、blog 编译、用户供稿、每轮 blog≤5 等：先读 references/raw-layer.md，并遵守其中自检清单。
  • 用户要说 创建知识库、从 raw 导入 wiki、查询 wiki、lint、维护 index/log：先读 references/wiki-layer.md。
  • 同一会话里先 raw 后 wiki：两段规范都可能在一次任务里用到；切换阶段时明确当前手是否允许写 raw/ 还是仅写 wiki/。

核心理念（与 Wiki 层一致）

用 LLM 持续维护结构化 Markdown 知识库（wiki/），而不是每次提问只做一次性检索；raw/ 作为不可变来源层与面试向加工层（basic + blog），再经 ingest 进入 wiki/。更细的哲学与操作见 references/wiki-layer.md 开头与「三大操作」。

参考资源（必读顺序）

  1. references/raw-layer.md — Raw 层全部规则与质量自检。
  2. references/wiki-layer.md — Wiki 层 ingest / query / lint、初始化目录、实战经验（含 raw/blog 全文块与「核心内容提取」何者为真）。

项目内说明与出处见同目录 README.md。