wiki-ingest
Wiki Ingest transforms course materials from your raw folder into interconnected wiki pages, automatically extracting key concepts and linking related ideas across courses. It deduplicates files, creates source and concept pages, flags contradictions, and maintains a manifest to track what's been processed.
Wiki Ingest converts course source files into structured wiki pages with automatic concept extraction and cross-course linking.
AI-generated summary based on this skill's SKILL.md
Decision gist · record as of 2026-06-16
Wiki Ingest converts course source files into structured wiki pages with automatic concept extraction and cross-course linking. Wiki Ingest transforms course materials from your raw folder into interconnected wiki pages, automatically extracting key concepts and linking related ideas across courses. It deduplicates files, creates source and concept pages, flags contradictions, and maintains a manifest to track what's been processed.
Use it when
- Wiki Ingest transforms your slide decks into interconnected wiki pages by extracting key concepts and creating organized concept pages.
- Yes.
Verify before relying
Read SKILL.md below before installing (1 file). Open directory: indexed for reading, not audited.
Install
IssacW228/student-llm-wiki/wiki-ingest
Open directory. Skills are indexed for reading, not audited. Review a skill's body before installing it.
Frequently asked questions
AI-generated answers based on this skill's SKILL.md and metadata
How do I ingest a PDF into the wiki?
Wiki Ingest reads PDF files from your raw folder and automatically converts them into structured wiki pages. The skill extracts key concepts, creates organized concept pages, and links related ideas across your courses. Each ingested file is tracked in a manifest so you won't process the same material twice.
What happens when wiki-ingest processes course slides?
Wiki Ingest transforms your slide decks into interconnected wiki pages by extracting key concepts and creating organized concept pages. It deduplicates content across files, detects cross-course connections, and flags any contradictions between materials so you maintain a consistent knowledge base.
Can wiki-ingest detect duplicate content across courses?
Yes. Wiki Ingest deduplicates course content and detects cross-course connections automatically. When processing multiple files, it identifies overlapping material and links related concepts together, helping you avoid redundancy and discover how your courses relate to each other.
Does wiki-ingest flag conflicting information?
Wiki Ingest identifies and flags contradictions between course materials during processing. This helps you spot inconsistencies across your knowledge base so you can review and resolve conflicts before they propagate through your wiki.
How does wiki-ingest handle batch processing?
Wiki Ingest processes multiple course files with progress tracking, maintaining a manifest to record what's been ingested. This batch capability lets you upload entire folders of raw course materials at once while monitoring conversion status and avoiding reprocessing of already-ingested content.
SKILL.md
Rendered from the published skill. Quoted content, verbatim.
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
- 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" - 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 - 读源文件，提炼3-5个关键要点
- 与用户讨论确认（不跳过这步）
- 创建来源页
wiki/sources/{name}.md6.5. 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]] - 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） - 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
- 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
(truncated - see the full file via the links below)
File tree — 1 file
skills/wiki-ingest/SKILL.md
Let your AI agent find skills like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 56,283 agent skills by what they can do, searchable in plain language.
wish › “Ingest and convert course source files into structured wiki pages”
Give your agent the search over MCP, or paste the wish link into any chat. No install? Search from any chat →
Related skills
Wiki Lint performs comprehensive health checks on your knowledge base, identifying orphaned pages, broken internal links, contradictory information, and stale content that needs updating. It applies a 30-day confidence decay rule to flag concepts that haven't been reviewed, detects missing cross-course connections, and ensures course overviews and glossary entries are complete. After scanning, it prompts you to choose which issues to fix, then automatically updates all related documentation.
LLM Wiki Bootstrap helps you build and operate a personal knowledge base structured around immutable raw sources, a curated wiki layer, and a SCHEMA.md operating contract. Set up preferences, ingest sources, query your wiki, or configure full-text search—the skill handles scaffolding, content compilation, and consistency checks.
This skill guides you through establishing a wiki knowledge base on NanoClaw following Karpathy's LLM Wiki architecture. It walks you through choosing a group, designing your wiki's structure and conventions, creating the necessary directories and schema layer, and configuring how the agent ingests and maintains sources. Each step is idempotent—safe to re-run without clobbering existing work.
Wiki Ingest automates the process of reading source documents and weaving their content into your wiki. It identifies key entities, claims, and relationships, then creates or updates wiki pages while maintaining bidirectional cross-references and a source index. Each ingest operation is logged for full traceability.
wiki-ingest reads external sources—files, URLs, or images—and populates your Obsidian vault by extracting entities and concepts, then creating or updating interconnected wiki pages. It handles delta tracking to skip unchanged sources, supports multiple vault organization modes, and uses file locking to safely coordinate concurrent writes across your knowledge base.
Research Lint performs health checks on your research directory, identifying orphaned sources, missing entity hubs, broken wikilinks, stale claims, and contradictions. The skill runs seven checks—four fast mechanical scans plus optional LLM-powered analysis—and auto-applies safe edits like appending new contradictions and open questions while flagging issues that need your judgment.
More skills wiki (MIT) · wiki-lint (MIT) · llmwiki-ingest (MIT)