llm-wiki-q

SKILL效率
效率 未标注权限 许可证不明确
安装这个技能

Build and maintain a Karpathy-style LLM knowledge base — a self-compiling Obsidian markdown wiki where an Agent ingests raw sources, compiles cross-linked concept/entity/summary pages, answers queries against the corpus, lints the graph for health, and audits in-context human feedback filed from Obsidian or the local web viewer. Use when (1) scaffolding a new knowledge base for any research topic, (2) ingesting articles/papers/PDFs/web pages into raw/, (3) compiling or restructuring wiki articles from existing raw material, (4) answering questions against the wiki and filing durable answers back, (5) running lint passes for dead links / orphan pages / coverage gaps / audit shape, (6) processing human feedback from the audit/ directory and applying corrections. Not for general note-taking, daily journals, or non-wiki Obsidian use.

一句话选型结论

按资料字段整理

llm-wiki-q是效率类的 Agent Skill,安装方式未标注,权限级别未标注,许可证不明确,有可直接复制的安装命令。技能本质是给模型读的说明书,效果取决于模型与客户端;装完先用一个小任务验证,再放进正式流程。

分类效率 安装方式未标注 权限级别未标注权限 许可证许可证不明确
累计安装 未标注 本周 未标注
GitHub 星标 未标注 仓库 未标注
下载量 未标注 技能市场下载数
权限级别 未标注权限 安装前请确认风险范围
许可证 许可证不明确 未说明

安装

未标注
在支持 Skills 的客户端里执行,装完问一句「你有哪些技能」验证
skillhub install user_15292d5a/yjkj-llm-wiki-q
  1. 1
    确认客户端支持

    确认你的客户端支持 Skills(Claude、Codex、Cursor 等),并升级到较新的版本。

  2. 2
    拿到技能文件

    执行上面的命令安装;也可以把仓库里的 SKILL.md 手动放进客户端的 skills 目录。

  3. 3
    刷新技能列表

    重新打开客户端,或刷新技能列表,让新放进来的技能被加载。

  4. 4
    验证是否生效

    问一句「你有哪些技能」,确认列表里出现它,再拿一个小任务试跑。

技能档案

效率
字段来自技能仓库与公开索引,中文说明由本站标注
作者 / 维护方user_15292d5a仓库 未标注 · 版本 未标注
宿主客户端未标注技能可被这些客户端加载
安装方式未标注安装包 community
权限级别未标注权限安装前请确认风险范围
许可证未说明许可证不明确,商用前请自行确认条款
仓库可用性available技能仓库当前是否可访问
最近核验未标注上游最后核验时间 · 数据更新 1791726750
正文体量14.7 KBSKILL.md 原文大小,越大说明说明书写得越细

典型使用场景

3 类
按分类整理的常见用法,具体以 SKILL.md 为准
整理待办与日程

把零散任务收进清单,排出优先级。

批量处理重复任务

把固定动作做成模板,重复执行。

把流程写成清单

把口头流程整理成可复用的步骤。

选择建议

装之前先看这几条
按条目字段给出的判断,不替你决定用不用

值得选的地方

  • 有可直接复制的安装命令,不用自己翻文档找入口。

先想清楚的地方

  • 没有标注权限级别,实际能做什么要装好后确认。
  • 许可证不明确,商用或二次分发前先到仓库确认条款。
  • 没有做站内核验,内容以作者仓库为准。
  • 技能只是说明书,实际效果取决于模型与客户端,装完先用小任务试一遍。

更适合

  • 需要在效率场景里给模型补一套做法的人。
  • 愿意先读一遍 SKILL.md、确认它会让模型做什么的人。

不太适合

  • 对许可证要求很严、必须明确可商用的人。
  • 只想装完就自动变强、不打算看说明书的人。

同类对比

6 个同类
同分类里挑最接近的几条,字段以各自详情页为准
技能权限级别安装方式累计安装宿主客户端安装命令
llm-wiki-q当前 未标注权限 未标注 未标注 未标注 有
Nano PDF 文档 联网访问 ClawHub 市场 424.9 万 OpenClaw 有
自动更新程序 浏览器控制 ClawHub 市场 296.4 万 OpenClaw 有
Gemini 助手 联网访问 ClawHub 市场 254.7 万 OpenClaw 有
word DOCX 文档 联网访问 ClawHub 市场 239.6 万 OpenClaw 有
Excel XLSX 前端 联网访问 ClawHub 市场 227.0 万 OpenClaw 有

SKILL.md 全文

14.7 KB
模型实际读到的说明书原文,来自技能仓库

LLM Wiki — Karpathy Knowledge Base Pattern

> Experimental skill — iterating.
> Authored by Lewis Liu (lylewis@outlook.com) · Inspired by Karpathy's llm-wiki Gist

Core idea

Instead of RAG (re-retrieving raw docs on every query), the LLM compiles raw sources into a persistent, cross-linked wiki. Every ingest, query, lint, and audit pass makes the wiki richer. Knowledge compounds — and the human stays in the loop via a structured feedback channel instead of ad-hoc corrections that get lost.

  • You own: sourcing raw material, asking good questions, steering direction, filing feedback on anything the AI got wrong.
  • LLM owns: all writing, cross-referencing, filing, bookkeeping, and acting on your feedback.

The wiki is a living artifact with five operations — compile, ingest, query, lint, audit. Every session starts by reading CLAUDE.md and wiki/index.md.

Directory layout

<wiki-root>/
├── CLAUDE.md          ← Schema: scope, conventions, current articles, gaps
├── log/               ← Per-day operation log (one file per day)
│   ├── 20260409.md
│   └── 20260410.md
├── audit/             ← Human feedback inbox (one file per comment)
│   ├── 20260409-143022-claude-code-size.md
│   └── resolved/      ← Processed feedback, archived with resolution notes
├── raw/               ← Immutable source documents (LLM reads, never writes)
│   ├── articles/
│   ├── papers/
│   ├── notes/
│   └── refs/          ← Pointer files for large binaries kept outside raw/
├── wiki/              ← LLM-generated knowledge (LLM writes, you read)
│   ├── index.md       ← Master catalog — every page, structured by category
│   ├── concepts/      ← Concept/topic pages (split into subfolders when >1200 words)
│   ├── entities/      ← People, tools, papers, organizations
│   └── summaries/     ← Per-source summary pages
└── outputs/
    └── queries/       ← Query answers (promote durable ones to wiki/)

CLAUDE.md is the schema file — the single most important configuration. It tells the LLM the wiki's scope, naming conventions, current article list, open questions, and research gaps. Read references/schema-guide.md for what to put in it. Read it at the start of every session.

Core principles

Four rules govern everything below. If a future instruction contradicts one, flag it to the user before acting.

1. Divide and conquer

A single concept page should never try to cover a complex topic end-to-end. Target: 400–1200 words per page. When a topic would blow past that:

  • Create a subfolder: wiki/concepts/<topic>/
  • Put a short index page at wiki/concepts/<topic>/index.md — definition, list of sub-pages, one-line summaries
  • Put each aspect in its own file: wiki/concepts/<topic>/<aspect>.md
  • In wiki/index.md, show the hierarchy via indented bullets

Example layout (from a real wiki):

wiki/tech/claude-code/
├── index.md                         (overview + links to sub-pages)
├── Claude_Code_Architecture.md
├── Claude_Code_Agent_Framework.md
├── Claude_Code_Bridge_System.md
├── Claude_Code_Query_Engine.md
├── Claude_Code_Skills_Plugins.md
├── Claude_Code_State_Management.md
└── Claude_Code_Tool_System.md

One fat file covering all seven aspects would be unreadable and unlinkable. Seven focused files + an index page give you navigation, selective reading, clean backlinks, and small audit targets.

2. Mermaid for diagrams, KaTeX for formulas

  • Any flow, sequence, hierarchy, or state diagram must be written in mermaid — never ASCII art. ASCII boxes rot fast and are impossible to annotate.
    ```mermaid flowchart LR A[raw/article.md] --> B[summary] B --> C[concept page] C --> D[index.md] ```
  • Any formula must be written in KaTeX: inline $f(x) = \sum_i w_i x_i$ or block $$...$$.

Both render in the web viewer (server-side KaTeX, client-side mermaid) and in Obsidian with default settings.

3. Raw file policy

Small text-based sources (md, txt, small pdfs, small images) → copy into raw/<subfolder>/.

Large binaries (videos, model weights, installers, datasets, large PDFs >10 MB) → do not copy. Instead:

  • Create a pointer file at raw/refs/<slug>.md with:
    ```yaml

kind: ref
external_path: /Volumes/external/models/llama-3-70b/
size: ~140 GB


`` followed by a short description of what it is and why it matters to this wiki. - Wiki pages cite[[raw/refs/<slug>]]` exactly like any other source.

This keeps the wiki repo git-friendly and portable.

4. Audit is the human feedback surface

The wiki is AI-written; it will be wrong sometimes. The raw sources are human-written; they will contradict each other. The audit/ directory is how humans correct both without losing the corrections in chat history.

  • Humans file feedback via the Obsidian plugin or the web viewer. Each feedback is one file in audit/ with YAML frontmatter (anchor, target, severity) and a markdown body.
  • The AI must periodically run the audit op — never silently ignore audit/*.md files.
  • When feedback is applied, the file moves to audit/resolved/ with a # Resolution section appended and a log entry recorded in log/YYYYMMDD.md.

See references/audit-guide.md for the full file format and processing workflow.


The five operations

Every action on the wiki is one of these five. Each appends an entry to the current day's log file (log/YYYYMMDD.md).

1. compile

(Re)structure wiki content from existing raw/ material — including splitting oversized pages, merging near-duplicates, and rebuilding index.md.

When to run: after a big ingest batch, when an existing page has outgrown 1200 words, when index.md no longer reflects reality, or when the user says "clean up the wiki".

Steps:
1. Read CLAUDE.md, wiki/index.md, and every file in the target subtree.
2. For each page over ~1200 words: plan a split into concepts/&lt;topic&gt;/ with an index + sub-pages. Confirm the plan with the user before writing.
3. For each pair of near-duplicate pages: propose a merge. Confirm, then rewrite.
4. Regenerate wiki/index.md so every page is listed exactly once.
5. Log: ## [HH:MM] compile | &lt;what you did — files touched, splits, merges&gt;

2. ingest

Add a new source. One source typically touches 5–15 wiki pages.

Steps:
1. Save source to the right subfolder:
- web article → raw/articles/&lt;slug&gt;.md
- paper → raw/papers/&lt;slug&gt;.md (extracted text for big PDFs)
- note → raw/notes/&lt;slug&gt;.md
- large binary → raw/refs/&lt;slug&gt;.md pointer file (see raw file policy)
2. Read the source in full.
3. Create wiki/summaries/&lt;slug&gt;.md (200–400 words — key takeaways, not a rewrite; see references/article-guide.md).
4. Create or update relevant concept pages in wiki/concepts/. Respect divide-and-conquer: if a concept page would exceed 1200 words, split instead of cramming.
5. Create or update entity pages in wiki/entities/ for any new people / tools / papers / organizations referenced.
6. Update wiki/index.md so the new pages appear under the right category.
7. Log: ## [HH:MM] ingest | &lt;slug&gt; — &lt;one-line description&gt; (touched N pages)

3. query

Answer a question grounded in the wiki, not general knowledge.

Steps:
1. Read wiki/index.md. Scan for relevant pages by category.
2. Read the identified pages in full; follow one level of wikilinks.
3. If the wiki doesn't have enough material, say so and suggest what to ingest next instead of making something up.
4. Synthesize the answer, citing pages inline with [[Page Name]].
5. Save to outputs/queries/&lt;YYYY-MM-DD&gt;-&lt;question-slug&gt;.md.
6. If the answer is durable (a comparison, analysis, or new synthesis) → promote a cleaned-up version to wiki/concepts/, add to index.md.
7. Log: ## [HH:MM] query | &lt;question-slug&gt; (and a separate ## [HH:MM] promote | ... line if promoted).

4. lint

Health check. Run:

python3 scripts/lint_wiki.py &lt;wiki-root&gt;

The script reports:
- Dead wikilinks — [[Target]] where Target.md doesn't exist
- Orphan pages — pages with no inbound wikilinks
- Missing index entries — pages not listed in wiki/index.md
- Frequently-linked missing pages — [[X]] referenced 3+ times but no page
- log/ shape — stray files or wrong filenames in log/
- audit/ shape — malformed YAML frontmatter in audit/*.md
- Audit target resolution — every open audit's target file must exist

For each issue, propose a fix, confirm with the user, then apply. Log: ## [HH:MM] lint | &lt;N&gt; issues found, &lt;M&gt; fixed.

5. audit

Process human feedback from audit/.

Steps:
1. Run python3 scripts/audit_review.py &lt;wiki-root&gt; --open to get a grouped list.
2. For each open audit, read the file. Use the anchor_before / anchor_text / anchor_after window to locate the exact range in the target file (line numbers may have drifted).
3. Decide the action:
- Accept: apply the correction to the target file.
- Partially accept: apply what makes sense, note the rest in the resolution.
- Reject: explain why in the resolution — the feedback may be based on a misreading of scope or a contradictory source.
- Defer: add to CLAUDE.md "Open research questions" and leave the audit in place with a comment.
4. For applied audits, append a # Resolution section to the audit file:
```markdown
# Resolution

2026-04-10 · accepted.
Fixed the file count (was "~1,900", corrected to "~1,800" per commit abc123).
Updated: tech/Claude_Code.md lines 47–48.
5. Move the file from `audit/` to `audit/resolved/`. Filename unchanged. 6. Log per resolved audit:
## [HH:MM] audit | resolved 20260409-143022-a1b2 — <one-line what>
`` 7. Never delete audit files. Rejected ones still go toresolved/` with the rejection rationale in their resolution section — that's valuable history.

See references/audit-guide.md for the full audit file format.


Tooling

Tool Purpose
Obsidian IDE for browsing the wiki; graph view shows connections
plugins/obsidian-audit/ Obsidian plugin — select text → add feedback → writes to audit/
web/ Local Node.js server — preview the wiki with mermaid/math rendered; select → feedback → audit/
scripts/scaffold.py Bootstrap a new wiki directory tree
scripts/lint_wiki.py Seven-pass health check
scripts/audit_review.py Group open/resolved audits by target file
qmd Optional local semantic search (useful at >100 pages)

The Obsidian plugin and the web viewer both write audit files in the same format with the same anchor algorithm, so feedback filed from either place can be resolved by either place.

Starting a new wiki

python3 scripts/scaffold.py &lt;wiki-root&gt; &quot;&lt;Topic Title&gt;&quot;

Creates the full tree (including log/&lt;today&gt;.md, audit/, audit/resolved/), a blank CLAUDE.md based on the new template, and a blank wiki/index.md with the recommended category layout.

After scaffolding:
1. Fill in CLAUDE.md — define scope, naming conventions, initial research questions.
2. Start ingesting sources.
3. Ask questions to build up outputs/queries/; promote durable answers.
4. Run lint periodically.
5. Run audit whenever new feedback accumulates.

wiki/index.md format

The LLM rebuilds index.md on every compile and touches it on every ingest. Format:

# Index — &lt;Topic&gt;

&gt; One-sentence scope of the wiki.

## 🔖 Navigation
- [[#Concepts]] · [[#Entities]] · [[#Summaries]] · [[#Open Questions]]

## Concepts
### &lt;Category A&gt;
- [[concepts/Foo]] — one-line summary
- [[concepts/Bar/index|Bar]] — (folder-split) one-line summary
    - [[concepts/Bar/aspect-1]] — ...
    - [[concepts/Bar/aspect-2]] — ...

### &lt;Category B&gt;
- ...

## Entities
- [[entities/Andrej Karpathy]] — AI researcher, author of the llm-wiki pattern

## Summaries (chronological)
- 2026-04-09 — [[summaries/llm-wiki-gist]] — Karpathy&#x27;s original Gist

## Open Questions
- Q1: ...

Rules:
- Every wiki page must appear exactly once in index.md. lint enforces this.
- Folder-split concepts show hierarchy via indented bullets.
- index.md + CLAUDE.md together are what the AI reads at session start.

log/ format

See references/log-guide.md for full details. Minimum:

  • One file per day: log/YYYYMMDD.md
  • H1 = the date; H2 per entry with ## [HH:MM] &lt;op&gt; | &lt;one-line description&gt;
  • Ops: compile, ingest, query, lint, audit, promote, split, scaffold

Quick grep across history: grep -rh &quot;^## \[&quot; log/ | tail -20.

Use cases

  • Research deep-dive — reading papers/articles on a topic over weeks; the wiki evolves with your understanding, and the audit trail keeps AI mistakes from silently accumulating
  • Personal wiki — journal entries, notes, ideas compiled into a personal encyclopedia; comment on anything you disagree with later, the AI corrects it
  • Team knowledge base — fed by Slack threads, meeting notes, docs; team members file corrections through the web viewer
  • Reading companion — filing each book chapter as you go; builds a rich companion wiki by the end

References

  • references/schema-guide.md — What to put in CLAUDE.md
  • references/article-guide.md — How to write good wiki articles (length, wikilinks, mermaid, math, divide-and-conquer)
  • references/log-guide.md — The log/ folder convention
  • references/audit-guide.md — Audit file format, anchor strategy, processing workflow
  • references/tooling-tips.md — Obsidian setup, Web Clipper, qmd, plugin + web installation

常见问题

5 问
答案由本站依据条目字段整理
llm-wiki-q怎么安装?

在支持 Skills 的客户端里执行:skillhub install user_15292d5a/yjkj-llm-wiki-q。安装方式为未标注。装完刷新技能列表或重开客户端。

llm-wiki-q支持哪些客户端?

资料没有标注宿主客户端,但只要客户端支持 Skills(Claude、Codex、Cursor 等),一般都能加载。

llm-wiki-q权限高吗,安全吗?

权限级别为未标注权限。安装前先看它会读取或写入哪些内容。

llm-wiki-q收费吗?

本站不代收费用,也没有标注具体价格。是否收费取决于技能本身和所用的模型或客户端,正式使用前按作者说明确认。

llm-wiki-q用什么许可证?

许可证标注为 未说明(许可证不明确)。商用或二次分发前请到仓库确认条款原文。

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技能内容以作者仓库为准;分类、权限级别与许可证状态的中文说明为中文整理,最近核验 未标注。