wiki-ask
Skill116 starsChanged 4 days agoMITView on GitHub
Answer a question from the user's LLM Wiki knowledge base (.wiki/) by searching and reading wiki pages with the LLM Wiki MCP tools, and cite the pages used. Use when the user asks about people, ideas, sources or topics collected in their wiki, or asks to "ask the wiki".
1 other project uses a version of this.
Adopted by
Most recently taken up by
- suwonleee/llmwikitheir own version, first seen Oct 14, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 1
- suwonleee/llmwiki★ 17same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository4 other files it gives its agents.
- wiki-fixSkill
- wiki-ingestSkill
- wiki-researchSkill
- wiki-saveSkill
The file
We split this skill into the rules it gives an agent
5 rules. About 0 are common, 0 are distinctive, and 5 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
5
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 11
Search with wiki_query using the key terms of the question.
- Very specific: line 12
Read the most relevant pages (usually 3–8) with wiki_read_page.
- Very specific: line 14
If the wiki doesn't answer the question, say so plainly and suggest sources the user could add to .wiki/raw/.
- Very specific: line 15
If the answer is a useful synthesis, offer to save it to the wiki with the wiki-save skill.
- Very specific: line 17
If a tool reports that no wiki is open, call wiki_open with the absolute path of the current workspace folder, then retry.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Ask the wiki
Answer the user's question from their LLM Wiki, not from general knowledge.
- Search with
wiki_queryusing the key terms of the question. If nothing relevant comes back, try synonyms, or scan the catalog withwiki_read_index. - Read the most relevant pages (usually 3–8) with
wiki_read_page. Follow links to closely related pages when they add needed context. - Answer from what the pages say. Cite every page you rely on as a link to its file, for example
[Attention](.wiki/wiki/concepts/attention.md). Point out connections and contradictions between pages. - If the wiki doesn't answer the question, say so plainly and suggest sources the user could add to
.wiki/raw/. - If the answer is a useful synthesis, offer to save it to the wiki with the
wiki-saveskill.
If a tool reports that no wiki is open, call wiki_open with the absolute path of the current workspace folder, then retry.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.