wiki-query
Skill189 starsChanged 4 months agoMITView on GitHub
Use when asking a question against a personal wiki built with wiki-init and wiki-ingest. Do not answer from general knowledge — always read the wiki pages first.
41 other projects use a version of this, 2 of them edited.
Adopted by
Most recently taken up by
- Ar9av/obsidian-wikitheir own version, first seen Nov 8, 2026
- barakgut/llm-wikitheir own version, first seen Nov 1, 2026
- chobizzy/llm-wikitheir own version, first seen Nov 1, 2026
- wareagledusty/wiki-federation-starter-kittheir own version, first seen Nov 1, 2026
- ProduktEntdecker/enterprise-memory-startertheir own version, first seen Nov 1, 2026
- hmjBill/skillstheir own version, first seen Oct 29, 2026
Used with
Projects with it also use wiki-capture, wiki-setup and 8 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
jehrhardtSkillwiki-capture
Quickly capture raw thoughts, links, images, or notes to today's Obsidian daily note from anywhere in Pi. Use when the user wants to jot something down for later wiki processing.
Also in 6 projects that use this
Ivy-Chen1999Skillwiki-setup
Initialize a new Obsidian wiki vault with the correct structure, special files, and configuration. Use this skill when the user wants to set up a new wiki from scratch, initialize the vault structure, create the .env file, or says things like "set up my wiki", "initialize obsidian", "create a new vault", "get started with the wiki". Also use when the user needs to reconfigure their existing vault or fix a broken setup.
Also in 5 projects that use this
Ivy-Chen1999Skillwiki-research
Autonomously research a topic via multi-round web search, synthesize findings, and file structured results into the Obsidian wiki. Use this skill when the user says "/wiki-research [topic]", "research X", "find everything about Y", "do a deep dive on Z", "autonomous research on X", or wants comprehensive, web-sourced knowledge on a topic filed directly into their wiki.
Also in 4 projects that use this
justvinhhereSkillwiki-review
Use when the user runs /review, says "show pending changes", "what's uncommitted", or wants an audit of uncommitted wiki edits before they land in history. Narrates uncommitted changes, flags structural issues scoped to those changes, and commits them with a conventional subject. Fully automatic.
Also in 8 projects that use this
nathanadaySkillalmagest
Orient in the Almagest vault, say what waits for the user, do the work a request asks in a linked repository, and route any other request to the skill that owns it. Use for /almagest, what is going on, status, what waits for me, where do I work on X, work on X, fix this, implement, build, note this, remember to, publish my journal, what is in my journals, and any request when the right skill is not clear. Keeping part of this conversation is wiki-save; files to learn from are wiki-ingest.
Also in 3 projects that use this
- +5 more from Ivy-Chen1999
Other versions41 projects use a version of this.
Word for word · 0
None found.
Edited · 2
- bozhouDev/bozhou-skills★ 7885% same
- crabin/llm-wiki★ 855% same
Wrote their own version · 39
- AgriciDaniel/claude-obsidian★ 16ksame name
- Ar9av/obsidian-wiki★ 3.7ksame name
- rohitg00/pro-workflow★ 2.9ksame name
- vanillaflava/llm-wiki-skills★ 65same name
- cookyman74/llmwiki-harness★ 34same name
- Ivy-Chen1999/llm-wiki-kit★ 21same name
- CarbeneAI/Forge★ 9same name
- CodePhobiia/claude-roblox-game-studio★ 9same name
- Xipher-Labs/walter-os★ 8same name
- po4yka/llm-wiki-skills★ 5same name
29 more not listed
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 repository6 other files it gives its agents.
- wiki-auditSkill
- wiki-ingestSkill
- wiki-initSkill
- wiki-lintSkill
- wiki-mergeSkill
- wiki-updateSkill
The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 2 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 33 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 8
Ask a question. Read the wiki.
- Very specific: line 27
Read the identified pages in full.
- Distinctive: line 31
Write a response that:
- Very specific: line 51
Write the page with full frontmatter: title, category: Analyses (or the wiki's equivalent), summary (one-line), tags: [query, analysis], …
“Common” is measured: kept by at least 6 in 10 of the 33 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Wiki Query
Ask a question. Read the wiki. Synthesize with citations. Offer to file the answer back.
Pre-condition
Find SCHEMA.md (search from cwd upward, or ~/wikis/). If not found, tell the user to run wiki-init first. Read it to get wiki root path and cross-reference convention.
Link style. Read link_style: from SCHEMA.md. If the field is missing or <wiki-root>/config/link-style.md does not exist, default to obsidian ([[slug]]). Otherwise, read <wiki-root>/config/link-style.md for the emit and parse rules. Follow cross-references in pages using the ## Parse rule. When you write the answer back as a wiki page (step 4), emit citations and cross-references using the ## Emit rule.
Process
1. Read wiki/index.md first
Regenerate the index so it reflects the current pages — python bin/generate-index.py —
then scan the full index to identify which pages are likely relevant. Do NOT answer from
general knowledge — the wiki is the source of truth here, even if you think you know the
answer.
2. Read relevant pages
Read the identified pages in full. Follow one level of cross-reference links (matched via the ## Parse rule from config/link-style.md) if they point to pages that seem relevant to the question.
3. Synthesize the answer
Write a response that:
- Is grounded in the wiki pages you read
- Cites inline using a cross-reference (in the wiki's
link_style) for every claim sourced from a specific page - Notes agreements and disagreements between pages
- Flags gaps: "The wiki has no page on X" or "
<page slug>doesn't cover Y yet" - Suggests follow-up sources to ingest or questions to investigate
Format for the question type:
- Factual → prose with citations
- Comparison → table
- How-it-works → numbered steps
- What-do-we-know-about-X → structured summary with open questions
4. Always offer to save
After answering, say:
"Worth saving as
wiki/pages/<suggested-slug>.md?"
If yes:
- Write the page with full frontmatter:
title,category: Analyses(or the wiki's equivalent),summary(one-line),tags: [query, analysis],sources: [all cited slugs],created: <today>,updated: <today> - Regenerate the index —
python bin/generate-index.py— do not hand-editindex.md - Record the operation (per SCHEMA's Operation Log & Commit Convention):
- Git wiki: suggest a commit (default
docs:for a saved query, plus the trailer); commit on confirmation.docs: add analysis — <question summary> Wiki-Op: query - Non-git wiki: append to
wiki/log.md:## [<today>] query | <question summary> Filed as: <slug reference to the new slug, in the wiki's link_style>
- Git wiki: suggest a commit (default
If no:
- Git wiki: nothing changed, so there is nothing to commit — the query is not logged.
- Non-git wiki: append to
wiki/log.md:## [<today>] query | <question summary> Not filed.
Common Mistakes
- Answering from memory — Always read the wiki pages. The wiki may contradict what you think you know, and that contradiction is valuable signal.
- Skipping the save offer — Good query answers compound the wiki's value. Always offer.
- No citations — Every factual claim should trace back to a slug reference (in the wiki's
link_style).
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.

