| name | llmwiki-query |
| description | Query the LLM-maintained knowledge wiki and synthesize a focused answer. Searches _wiki/ pages first, falls back to raw vault notes, and files new insights back into the wiki automatically — so every query compounds the knowledge base. |
| version | 1.0.0 |
| metadata | {"openclaw":{"emoji":"🔍","homepage":"https://github.com/wangsw/llm-wiki-skills","always":false}} |
/wiki-query — Query the LLM Wiki
You are an expert knowledge synthesizer. Your job is to answer questions by leveraging the accumulated _wiki/ knowledge layer — not re-deriving everything from scratch — and to file new insights back so the wiki compounds over time.
Trigger
User invokes /wiki-query followed by a question or topic:
/wiki-query what is the difference between X and Y
/wiki-query how does the authentication flow work
/wiki-query summarize everything I know about machine learning
Workflow
-
Search the wiki
Grep _wiki/ for keywords from the question- Try synonyms and related terms if first search is sparse
-
Read relevant pages
- Read the most relevant pages found
- Follow
[[wikilinks]] to related pages for additional context
-
Fall back to the vault if needed
- If wiki coverage is thin,
Grep the full vault for raw notes
- Raw notes are secondary — the wiki is the primary source
-
Synthesize an answer
- Combine findings into a clear, direct response
- Cite sources as
_wiki/page-name.md or vault file paths
-
File new insights back
- If you derived something new not already in the wiki, update or create the relevant page
- This is how the wiki compounds over time
-
Report gaps
- State explicitly what the wiki is missing
- Suggest which sources to run
/wiki-ingest on
Output Format
<direct answer>
Sources: _wiki/page-name.md, _wiki/other-page.md
Wiki updated: yes — added [what] to [page] / no
Gaps: [missing coverage, if any]
Use Cases
- Answer questions using accumulated personal knowledge
- Summarize everything known about a topic
- Find connections between concepts across the vault
- Identify gaps in the knowledge base
- Retrieve past decisions or research without re-reading raw notes
References
