Hermes History Ingest
Ar9av/obsidian-wiki
Ingest Hermes agent history into Obsidian as distilled knowledge.
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…
Install LLM Wiki Interview
$ npx skills add ProgrammerAnthony/Expert-Coding-Harness --skill llm-wiki-interview -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ProgrammerAnthony/Expert-Coding-Harness llm-wiki-interview --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/ProgrammerAnthony/Expert-Coding-Harness.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/llm-wiki-interview .claude/skills/llm-wiki-interview && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "llm-wiki-interview" agent skill from https://github.com/ProgrammerAnthony/Expert-Coding-Harness/tree/master/skills/llm-wiki-interview into .claude/skills/llm-wiki-interview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-wiki-interview", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/ProgrammerAnthony/Expert-Coding-Harness/tree/master/skills/llm-wiki-interviewType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add ProgrammerAnthony/Expert-Coding-Harness --skill llm-wiki-interview -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ProgrammerAnthony/Expert-Coding-Harness llm-wiki-interview --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ProgrammerAnthony/Expert-Coding-Harness.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/llm-wiki-interview .agents/skills/llm-wiki-interview && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "llm-wiki-interview" agent skill from https://github.com/ProgrammerAnthony/Expert-Coding-Harness/tree/master/skills/llm-wiki-interview into .agents/skills/llm-wiki-interview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-wiki-interview", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ProgrammerAnthony/Expert-Coding-Harness --skill llm-wiki-interview -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ProgrammerAnthony/Expert-Coding-Harness llm-wiki-interview --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ProgrammerAnthony/Expert-Coding-Harness.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/llm-wiki-interview .cursor/skills/llm-wiki-interview && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "llm-wiki-interview" agent skill from https://github.com/ProgrammerAnthony/Expert-Coding-Harness/tree/master/skills/llm-wiki-interview into .cursor/skills/llm-wiki-interview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-wiki-interview", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/ProgrammerAnthony/Expert-Coding-Harness.git --path skills/llm-wiki-interview--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ProgrammerAnthony/Expert-Coding-Harness --skill llm-wiki-interview -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ProgrammerAnthony/Expert-Coding-Harness llm-wiki-interview --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ProgrammerAnthony/Expert-Coding-Harness.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/llm-wiki-interview .gemini/skills/llm-wiki-interview && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "llm-wiki-interview" agent skill from https://github.com/ProgrammerAnthony/Expert-Coding-Harness/tree/master/skills/llm-wiki-interview into .gemini/skills/llm-wiki-interview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-wiki-interview", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install ProgrammerAnthony/Expert-Coding-Harness llm-wiki-interviewInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add ProgrammerAnthony/Expert-Coding-Harness --skill llm-wiki-interview -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ProgrammerAnthony/Expert-Coding-Harness.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/llm-wiki-interview .github/skills/llm-wiki-interview && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "llm-wiki-interview" agent skill from https://github.com/ProgrammerAnthony/Expert-Coding-Harness/tree/master/skills/llm-wiki-interview into .github/skills/llm-wiki-interview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-wiki-interview", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ProgrammerAnthony/Expert-Coding-Harness --skill llm-wiki-interview -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ProgrammerAnthony/Expert-Coding-Harness llm-wiki-interview --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ProgrammerAnthony/Expert-Coding-Harness.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/llm-wiki-interview .opencode/skills/llm-wiki-interview && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "llm-wiki-interview" agent skill from https://github.com/ProgrammerAnthony/Expert-Coding-Harness/tree/master/skills/llm-wiki-interview into .opencode/skills/llm-wiki-interview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-wiki-interview", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
llm-wiki-interview- GitHub stars
- 235
- Token cost
- ~416 tokens
- SKILL.md length
- 102 words
- Files
- 4 (incl. references)
- Skills in repo
- 23
- Repo updated
- First seen
- Licence
- MIT
At a glance
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…
- Works in 2 steps: references/raw-layer.md — Raw 层全部规则与质量自检。 → references/wiki-layer.md — Wiki 层 ingest…
- Tasks that involve LLM wikis
- SKILL.md covers 与两层文件的关系, 何时加载哪一份 reference, 核心理念（与 Wiki 层一致） and 参考资源（必读顺序）
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
LLM Wiki Interview is an agent skill from ProgrammerAnthony/Expert-Coding-Harness. 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。
Its SKILL.md is about 420 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `README.md`, `references/raw-layer.md` and `references/wiki-layer.md`).
It sits in Knowledge Management, covering LLM wikis. It works with Obsidian. The repository describes itself as: 生产级 AI Agent 技能集，辅助AI Harness应用于企业开发，覆盖代码审查、代码安全审计、TDD、需求工程、实施计划与子代理编排、架构设计、调试、前端开发与技能创建全流程。 The licence is MIT.
When your agent uses it
- Tasks that involve LLM wikis
Example prompts
- “/llm-wiki-interview”
Workflow steps
2 steps, taken from the first numbered list in SKILL.md.
- references/raw-layer.md — Raw 层全部规则与质量自检。
- 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）。
What it can do on your machine
Read from SKILL.md and the folder at commit ab0b827. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
LLM Wiki Interview loads about 416 tokens when it runs, and up to ~11k if it reads all its reference files. Until then it costs about 67 tokens; SKILL.md has 102 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from ProgrammerAnthony/Expert-Coding-Harness at commit ab0b827, republished under its MIT licence (© ProgrammerAnthony). 102 words, ~416 tokens.
Download SKILL.mdSave it as
.claude/skills/llm-wiki-interview/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- llm-wiki-interview
- description
- 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。
- version
- 1.0.0
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）
references/raw-layer.md— Raw 层全部规则与质量自检。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。
© ProgrammerAnthony, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 3 other files (references) in skills/llm-wiki-interview of ProgrammerAnthony/Expert-Coding-Harness.
- SKILL.md
- README.md
- references/raw-layer.md
- references/wiki-layer.md
Open the folder on GitHubat commit ab0b827
Compare with similar skills
LLM Wiki Interview next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| LLM Wiki Interview this skillProgrammerAnthony/Expert-Coding-Harness | 235 | — | ~416 | Automated safety check: Pass | MIT | |
| Hermes History IngestAr9av/obsidian-wiki | 3.5k | 1 repos | ~2.2k | Automated safety check: Notes | MIT | |
| LLM Wikilewislulu/llm-wiki-skill | 655 | — | ~3.7k | Automated safety check: Pass | None | |
| Codex History IngestAr9av/obsidian-wiki | 3.5k | — | ~2.2k | Automated safety check: Notes | MIT | |
| LLM Wikizosmaai/pi-llm-wiki | 605 | — | ~4.4k | Automated safety check: Pass | MIT | |
| LLM Wikipraneybehl/llm-wiki-plugin | 117 | — | ~5.7k | Automated safety check: Pass | MIT |
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Related
Works with
Categories
Questions about LLM Wiki Interview
What does LLM Wiki Interview do?
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…. LLM Wiki Interview is an agent skill from ProgrammerAnthony/Expert-Coding-Harness.
When should I use LLM Wiki Interview?
LLM Wiki Interview fits situations like: tasks that involve LLM wikis.
How do I install LLM Wiki Interview in Claude Code?
Run `npx skills add ProgrammerAnthony/Expert-Coding-Harness --skill llm-wiki-interview -a claude-code`. Or copy the skill folder (skills/llm-wiki-interview in ProgrammerAnthony/Expert-Coding-Harness) into .claude/skills/llm-wiki-interview in your project. Claude Code loads it when a task matches its description.
How do I install LLM Wiki Interview in Codex?
Run `npx skills add ProgrammerAnthony/Expert-Coding-Harness --skill llm-wiki-interview -a codex`. Or copy the skill folder (skills/llm-wiki-interview in ProgrammerAnthony/Expert-Coding-Harness) into .agents/skills/llm-wiki-interview in your project. Codex loads it when a task matches its description.
Can I use LLM Wiki Interview in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ProgrammerAnthony/Expert-Coding-Harness --skill llm-wiki-interview -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/llm-wiki-interview, .gemini/skills/llm-wiki-interview, .github/skills/llm-wiki-interview and .opencode/skills/llm-wiki-interview in your project.
What does LLM Wiki Interview need to run?
SKILL.md names no scripts, command-line tools or credentials: LLM Wiki Interview is instructions for the agent only.
Does LLM Wiki Interview access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is LLM Wiki Interview safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does LLM Wiki Interview use?
LLM Wiki Interview is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does LLM Wiki Interview use?
About 416 tokens (SKILL.md is roughly 1.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 10k tokens, read only when the agent opens those files.
What are the alternatives to LLM Wiki Interview?
Skills that share tags, products or a category with LLM Wiki Interview: Hermes History Ingest (Ar9av/obsidian-wiki, 3.5k stars), LLM Wiki (lewislulu/llm-wiki-skill, 655 stars), Codex History Ingest (Ar9av/obsidian-wiki, 3.5k stars) and LLM Wiki (zosmaai/pi-llm-wiki, 605 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains LLM Wiki Interview?
ProgrammerAnthony (a GitHub user) maintains it in ProgrammerAnthony/Expert-Coding-Harness, which has 235 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on May 11, 2026.
Source: ProgrammerAnthony/Expert-Coding-Harness on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.