Agent skill

Wiki Ingest

by IssacW228 in IssacW228/student-llm-wiki

Digest a course source file into the wiki. An agent skill from IssacW228/student-llm-wiki.

MITAuto-check passedKnowledge Management

Install Wiki Ingest

skills CLI
$ npx skills add IssacW228/student-llm-wiki --skill wiki-ingest -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install IssacW228/student-llm-wiki wiki-ingest --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/IssacW228/student-llm-wiki.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/wiki-ingest .claude/skills/wiki-ingest && rm -rf skills-src

Use ~/.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/

Facts

Skill name
wiki-ingest
GitHub stars
177
Token cost
~852 tokens
SKILL.md length
141 words
Files
1
Skills in repo
6
Repo updated
First seen
Licence
MIT

At a glance

Digest a course source file into the wiki. An agent skill from IssacW228/student-llm-wiki.

  • Works in 6 steps: 去重检查: 计算文件 md5sum {file} | cut -d' '… → 读上下文: 读 wiki/hot.md(不是完整SCHEMA) → 定位已有页: 读 wiki/index.md 找相关概念页 → …
  • Process this PDF/slide
  • SKILL.md covers 步骤 Steps, Manifest 格式, 批量 Batch ingest and 完成报告 Report, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Wiki Ingest is an agent skill from IssacW228/student-llm-wiki. Digest a course source file into the wiki. This skill should be used when the user says "ingest", "消化", "process this PDF/slide", or drops a course file into raw/ and wants it turned into wiki pages. Reads the source, deduplicates via manifest, creates source + concept pages, and finds cross-course connections.

Its SKILL.md is about 850 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Knowledge Management, covering LLM wikis and Slides and decks. The repository describes itself as: 📚 Student LLM Wiki — AI-compiled knowledge base for university students. Drop course slides, get a persistent interlinked wiki. Feynman review, exam prep, confidence decay… The licence is MIT.

When your agent uses it

  • Process this PDF/slide
  • Drops a course file into raw/ and wants it turned into wiki pages

Example prompts

  • “ingest”
  • “process this PDF/slide”
  • “/wiki-ingest”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. 去重检查: 计算文件 md5sum {file} | cut -d' ' -f1。查 raw/.manifest.json,hash相同则跳过,报告"已处理,用force重新消化"
  2. 读上下文: 读 wiki/hot.md(不是完整SCHEMA)
  3. 定位已有页: 读 wiki/index.md 找相关概念页
  4. 读源文件,提炼3-5个关键要点
  5. 与用户讨论确认(不跳过这步)
  6. 创建来源页 wiki/sources/{name}.md

What it can do on your machine

Read from SKILL.md and the folder at commit 3e2abe0. 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 (its code samples are markdown and json).

    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

Wiki Ingest loads about 852 tokens when it runs. Until then it costs about 81 tokens; SKILL.md has 141 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~81
When it runs · the whole SKILL.md, loaded when a task matches
~852

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 IssacW228/student-llm-wiki at commit 3e2abe0, republished under its MIT licence (© IssacW228). 141 words, ~852 tokens.

Download SKILL.mdSave it as .claude/skills/wiki-ingest/SKILL.md (or your agent's skills folder).
name
wiki-ingest
description
Digest a course source file into the wiki. This skill should be used when the user says "ingest", "消化", "process this PDF/slide", or drops a course file into raw/ and wants it turned into wiki pages. Reads the source, deduplicates via manifest, creates source + concept pages, and finds cross-course connections.

Wiki Ingest

将 raw/ 中的课件转化为 wiki 页面。 Turn a source file in raw/ into wiki pages.

步骤 Steps

  1. 去重检查: 计算文件 md5sum {file} | cut -d' ' -f1。查 raw/.manifest.json,hash相同则跳过,报告"已处理,用force重新消化"
  2. 读上下文: 读 wiki/hot.md(不是完整SCHEMA)
  3. 定位已有页: 读 wiki/index.md 找相关概念页
  4. 读源文件,提炼3-5个关键要点
  5. 与用户讨论确认(不跳过这步)
  6. 创建来源页 wiki/sources/{name}.md 6.5. 创建/更新课程总览页 wiki/courses/{COURSE}-overview.md:
    • 不存在则新建(用下方"课程总览页格式")
    • 已有则在"概念图谱"章节追加本次新概念的 [[链接]]
  7. 创建/更新概念页(最多3-5页,不贪多):
    • 新概念 → 新建 wiki/concepts/{Name}.md,confidence默认 low,设置 created_at 为今天日期
    • 已有概念 → 局部编辑,补充内容,更新 last_reviewed 日期(不改 created_at)
  8. 图表处理: 若源含重要图表,文字描述其内容;若该概念涉及流程/架构/时序/分类等适合可视化的内容,按 wiki-diagram skill 判断标准用 Mermaid 配图
  9. 跨课程连接: 检查新概念是否在其他课程出现过。若是:
    • 在两个概念页都加 [[链接]]
    • 在 wiki/connections-log.md 追加一条记录(用下方"连接日志格式")
  10. 矛盾检测: 若新内容与已有页面冲突:
    • 在概念页用 > [!contradiction] callout 标注
    • 在 wiki/contradictions.md 追加一条记录(用下方"矛盾记录格式")
  11. 最后一次性更新: index.md + hot.md + log.md + overview.md + .manifest.json(不要每步都更新)
    • overview.md 更新内容:有新课程则加入课程列表,有新连接则更新"跨课程连接"摘要,有新矛盾则更新"矛盾与张力"摘要
    • wiki/glossary.md 将本次新建概念追加到术语表(英文、中文、领域、[[页面链接]])
    • log.md 追加一条结构化日志记录(用下方"日志格式")

Manifest 格式

json
{
  "sources": {
    "raw/COMP6713/L3.pdf": {
      "hash": "abc123",
      "course": "COMP6713",
      "ingested_at": "2026-06-01",
      "pages_created": ["wiki/sources/L3.md"],
      "concepts_created": ["Attention-Mechanism"],
      "concepts_updated": ["Transformer"],
      "connections_found": 2,
      "contradictions_found": 0
    }
  }
}

批量 Batch ingest

多个文件时:逐个处理,但 index/hot/log/manifest 只在全部完成后更新一次。每10个文件后向用户汇报一次进度。

完成报告 Report

"处理了 N 个来源。创建 X 页,更新 Y 页。发现的跨课程连接: ..."

课程总览页格式 Course Overview Format

文件: wiki/courses/{COURSE}-overview.md

markdown
---
tags: [course-overview, {course-code}]
course: {COURSE-CODE}
updated: YYYY-MM-DD
---
# {COURSE-CODE} — {课程名 Course Name}

## 综述 Summary
{一句话描述课程主题}

## 概念图谱 Concept Map
[[Concept-A]] · [[Concept-B]] · ...

## 薄弱环节 Weak Areas
\`\`\`dataview
TABLE confidence, last_reviewed FROM "wiki/concepts"
WHERE contains(courses, "{COURSE-CODE}") AND confidence = "low"
SORT last_reviewed ASC
\`\`\`

## 来源 Sources
\`\`\`dataview
LIST FROM "wiki/sources" WHERE contains(tags, "{course-code}") SORT file.ctime DESC
\`\`\`

连接日志格式 Connection Log Format

追加到 wiki/connections-log.md:

markdown
## {YYYY-MM-DD} — {概念名}
**课程A**: {COURSE-A} → [[Concept-Page-A]]
**课程B**: {COURSE-B} → [[Concept-Page-B]]
**连接本质**: 用一句话描述为什么这两个概念有关
**深度**: 表面相似 / 共享数学基础 / 同一思想的不同应用

日志格式 Log Entry Format

追加到 wiki/log.md:

markdown
## {YYYY-MM-DD} — ingest: {source-file}
- 创建概念: [[Concept-A]], [[Concept-B]]
- 更新概念: [[Concept-C]]
- 跨课连接: N条(见 connections-log.md)
- 矛盾: N条(见 contradictions.md)

矛盾记录格式 Contradiction Format

追加到 wiki/contradictions.md:

markdown
## {YYYY-MM-DD} — {矛盾标题}
**页面A**: [[page-a]] 说 "..."
**页面B**: [[page-b]] 说 "..."
**张力**: 描述矛盾的本质
**状态**: 未解决
**解决方案**: (待填)

© IssacW228, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/wiki-ingest of IssacW228/student-llm-wiki.

Open the folder on GitHubat commit 3e2abe0

Compare with similar skills

Wiki Ingest 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.

Wiki Ingest compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Wiki Ingest this skillIssacW228/student-llm-wiki177—~852Automated safety check: PassMIT
Swarmvaultswarmclawai/swarmvault710—~6.1kAutomated safety check: PassMIT
Karpathy LLM WikiAstro-Han/karpathy-llm-wiki2.5k—~3.6kAutomated safety check: PassMIT
LLM Wikilewislulu/llm-wiki-skill655—~3.7kAutomated safety check: PassNone
Wiki Builderrohitg00/pro-workflow2.9k—~1kAutomated safety check: PassNone
Codex History IngestAr9av/obsidian-wiki3.5k—~2.2kAutomated safety check: NotesMIT

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  • Wiki Core

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  • Wiki Diagram

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  • Wiki Review

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  • Wiki Lint

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Questions about Wiki Ingest

What does Wiki Ingest do?

Digest a course source file into the wiki. An agent skill from IssacW228/student-llm-wiki. Wiki Ingest is an agent skill from IssacW228/student-llm-wiki. Digest a course source file into the wiki.

When should I use Wiki Ingest?

Wiki Ingest fits situations like: process this PDF/slide; drops a course file into raw/ and wants it turned into wiki pages.

How do I install Wiki Ingest in Claude Code?

Run `npx skills add IssacW228/student-llm-wiki --skill wiki-ingest -a claude-code`. Or copy the skill folder (skills/wiki-ingest in IssacW228/student-llm-wiki) into .claude/skills/wiki-ingest in your project. Claude Code loads it when a task matches its description.

How do I install Wiki Ingest in Codex?

Run `npx skills add IssacW228/student-llm-wiki --skill wiki-ingest -a codex`. Or copy the skill folder (skills/wiki-ingest in IssacW228/student-llm-wiki) into .agents/skills/wiki-ingest in your project. Codex loads it when a task matches its description.

Can I use Wiki Ingest 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 IssacW228/student-llm-wiki --skill wiki-ingest -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/wiki-ingest, .gemini/skills/wiki-ingest, .github/skills/wiki-ingest and .opencode/skills/wiki-ingest in your project.

What does Wiki Ingest need to run?

SKILL.md names no scripts, command-line tools or credentials: Wiki Ingest is instructions for the agent only.

Does Wiki Ingest 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 Wiki Ingest 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 Wiki Ingest use?

Wiki Ingest 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 Wiki Ingest use?

About 852 tokens (SKILL.md is roughly 3.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Wiki Ingest?

Skills that share tags, products or a category with Wiki Ingest: Swarmvault (swarmclawai/swarmvault, 710 stars), Karpathy LLM Wiki (Astro-Han/karpathy-llm-wiki, 2.5k stars), LLM Wiki (lewislulu/llm-wiki-skill, 655 stars) and Wiki Builder (rohitg00/pro-workflow, 2.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Wiki Ingest?

IssacW228 (a GitHub user) maintains it in IssacW228/student-llm-wiki, which has 177 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on June 16, 2026.

Source: IssacW228/student-llm-wiki on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.