Skill

wiki-read

Search and query the wiki — get cited answers, with automatic research when knowledge is missing. Three depth modes. Use when: 'check wiki', 'what do we know about', 'look up', 'find in wiki', 'search wiki', 'search for', 'find information about', 'do we have notes on', 'wiki context', 'existing knowledge', 'research', 'look into', 'find out about', 'investigate', 'what is', 'how does X work'.

npx claudepluginhub oshayr/llm-wiki --plugin llm-wiki

Tool Access

This skill uses the workspace's default tool permissions.

Preview

Ask the wiki a question and get a cited answer. If the wiki doesn't have the answer, automatically researches using whatever tools are available, ingests the results, and answers from the new pages.

SKILL.md

Similar Skills

llmwiki:search

Search the LLM Wiki using qmd (hybrid BM25/vector search). Finds relevant wiki pages, reads them, and synthesizes an answer with citations. Use when asking questions against the knowledge base.

15 tools

rock-star-skills

query

Answers domain questions by reading and synthesizing project wiki pages, citing sources with wikilinks. Flags gaps and contradictions.

wiki-wonka

wiki-query

3.2k

Queries Obsidian wiki vault to answer questions from hot cache, index, and relevant pages. Synthesizes cited answers and files them back as wiki pages. Quick, standard, deep modes for varying depth.

1 tool

claude-obsidian

Stats

Stars40

Forks1

Last CommitApr 10, 2026

Actions

View Source View Plugin View on GitHub View README

Help us improve

Share bugs, ideas, or general feedback.

Wiki Read

Ask the wiki a question and get a cited answer. If the wiki doesn't have the answer, automatically researches using whatever tools are available, ingests the results, and answers from the new pages.

Resolve .wiki/ from plugin install scope. If not found, say "No wiki found. Use /wiki-write to create one."

Arguments

/wiki-read <question> — standard: search wiki first, research if not found, answer with citations
/wiki-read quick <question> — index scan only, no research fallback (fastest)
/wiki-read deep <question> — full wiki search + raw sources + automatic multi-channel research if needed (most thorough)

Process

Launch the wiki-reader agent with the question and depth level.

Standard depth (default)

Read .wiki/index.md, identify 2-4 relevant pages
Use bin/search-fulltext.py for ranked results
Read the relevant pages, synthesize a cited answer with [[slug]] references
If NOT found or insufficient: automatically research using whatever tools are available:
- Discover available tools at runtime (WebSearch, WebFetch, wiki_wikipedia_search for factual/encyclopedic topics, any MCP tools like Perplexity, Context7, etc.)
- Search using available tools, fetch and extract content
- Ingest results via wiki-writer agent (mode: ingest)
- Answer from the newly created pages with [[slug]] citations
- Note: "Researched fresh and saved to wiki."
Offer to save analysis as a wiki page if the answer is substantial

Quick depth

Read .wiki/index.md only
Scan for matching slugs/titles by text match
Return: list of relevant pages with one-line descriptions
No page content read, no research fallback — fastest possible response
If not found, suggest running standard /wiki-read

Deep depth

Everything in standard, plus:

Search .wiki/raw/ for source materials matching the query
Cross-reference raw sources with compiled pages
Use all available tools iteratively for multi-channel research if needed
Most thorough — uses the most context

Tool Discovery

This skill works with whatever tools the user has. No hardcoded channels or services.

Available tools are discovered at runtime:

WebSearch / WebFetch — Claude Code built-in web search and fetch
Any MCP search tools (Perplexity, Exa, Tavily, etc.)
bin/search-academic.py — Semantic Scholar, arXiv, OpenAlex, CrossRef (if available)
bin/search-code.py — GitHub, npm, PyPI, Stack Overflow (if available)
bin/fetch.py — content extraction chain

The skill uses whatever is available — if the user has Perplexity MCP, it gets used. If they only have WebSearch, that works too.