llm-wiki
Skill0 starsChanged 7 months agoMITView on GitHub
Obsidian vault as compiled knowledge base. Use when user says ingest, compile, query, lint, evolve, or asks questions that should come from a knowledge base. Also triggers on 'init kb', 'new topic', 'health check', 'what's missing'.
94 other projects use a version of this.
Adopted by
Most recently taken up by
- Damon-GSY/skillstheir own version, first seen Nov 8, 2026
- DracoUnion/skillstheir own version, first seen Nov 8, 2026
- Ar9av/obsidian-wikitheir own version, first seen Nov 8, 2026
- fralapo/awesome-agent-skillstheir own version, first seen Nov 7, 2026
- delorenj/skillstheir own version, first seen Nov 7, 2026
- ianchanning/skillstheir own version, first seen Nov 6, 2026
Used with
Projects with it also use touchdesigner-mcp, teams-meeting-pipeline and 10 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.
john-data-chenSkilltouchdesigner-mcp
Control a running TouchDesigner instance via twozero MCP — create operators, set parameters, wire connections, execute Python, build real-time visuals. 36 native tools.
Also in 7 projects that use this
john-data-chenSkillteams-meeting-pipeline
Operate the Teams meeting summary pipeline via Hermes CLI — summarize meetings, inspect pipeline status, replay jobs, manage Microsoft Graph subscriptions.
Also in 9 projects that use this
mae616Skillp5js
p5.js(クリエイティブコーディング)のProcessing由来「コードでスケッチ」思想を軸に、setup/drawループ・座標系・インタラクション・パフォーマンス最適化を整理する。p5.js、Processing、クリエイティブコーディング、ジェネラティブアート、インタラクティブ表現、ビジュアルプログラミング、Canvas描画、パーティクル、フラクタル、ノイズ表現に関する相談で必ず使うこと。ユーザーが「コードでアート」「動くビジュアル」「インタラクティブな描画」と言った場合にも適用する。
Also in 12 projects that use this
aivrarSkillcompetitor-news-monitor
Watch named companies for material news; cited digests.
Also in 6 projects that use this
math-incSkillheartmula
Set up and run HeartMuLa, the open-source music generation model family (Suno-like). Generates full songs from lyrics + tags with multilingual support.
Also in 7 projects that use this
Ivy-Chen1999Skillclaude-history-ingest
Ingest Claude Code conversation history into the Obsidian wiki. Use this skill when the user wants to mine their past Claude conversations for knowledge, import their ~/.claude folder, extract insights from previous coding sessions, or says things like "process my Claude history", "add my conversations to the wiki", "what have I discussed with Claude before". Also triggers when the user mentions their .claude folder, Claude projects, session data, past conversation logs, local-agent-mode sessions, or audit logs.
Also in 3 projects that use this
Other versions94 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 94
- Ar9av/obsidian-wiki★ 3.7ksame name
- sdyckjq-lab/llm-wiki-skill★ 2.5ksame name
- staruhub/ClaudeSkills★ 705same name
- lewislulu/llm-wiki-skill★ 654same name
- zosmaai/pi-llm-wiki★ 622same name
- Tommy-yw/RunbookHermes★ 546same name
- aivrar/portable-hermes-agent★ 239same name
- luotwo/llm-wiki★ 218same name
- sammcj/agentic-coding★ 169same name
- MehmetGoekce/llm-wiki★ 163same name
84 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 repository9 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- vault-challengeSkill
- vault-connectSkill
- vault-emergeSkill
- vault-graduateSkill
- vault-ingestSkill
- vault-saveSkill
- vault-worldSkill
The file
We split this skill into the rules it gives an agent
9 rules. 0 are common, 4 are distinctive, and 5 are very specific to this project.
0
Common
Most of the 76 edited versions we read keep these.
4
Distinctive
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 9
Read kb.yaml from the vault root before doing anything.
- Distinctive: line 13
All vault operations go through MCP.
- Distinctive: line 42
Never use an LLM for these.
- Very specific: line 62
Config: Read {topic}/schema/compile-config.yaml.
- Very specific: line 64
Existing state: Read wiki/_index.md to get existing concept names (prevents duplicate creation).
- Very specific: line 108
Read wiki/_index.md, pick 3-8 relevant articles
- Very specific: line 109
Read articles. kb_meta.py log-access for each
- Distinctive: line 111
If external data was needed: suggest filing to raw/ for compilation
- Distinctive: line 133
Read _index.md + high-vitality articles
“Common” is measured: kept by at least 6 in 10 of the 76 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
Read kb.yaml from the vault root before doing anything. Missing? Call MCP vault.init with the topic name, then proceed.
MCP Tools
All vault operations go through MCP. Filesystem fallback when Obsidian is closed -- same interface, direct file I/O.
| Method | Does what |
vault.init | Scaffold topic: raw/, wiki/, schema/, Log.md, kb.yaml |
vault.read / vault.create / vault.modify / vault.append / vault.delete | CRUD (writes are dry-run gated) |
vault.search / vault.searchByTag / vault.searchByFrontmatter | Find notes |
vault.graph / vault.backlinks | Link graph |
vault.batch | Multiple ops in one round-trip |
vault.lint | Structural health check |
vault.list / vault.stat / vault.exists | Navigation |
kb_meta.py (deterministic, zero LLM cost)
KB_META = python /path/to/obsidian-llm-wiki/kb_meta.py
$KB_META <command> <vault_root> <topic> [args...]| Command | What |
init | Create _meta.json |
diff | Hash-diff raw/ against compiled state |
update-hash <file> | Mark a raw file as compiled |
update-index | Rebuild _index.md from wiki/ |
check-links | Validate [[wikilinks]] resolve |
vitality | Access-weighted article scores |
log-access <article> | Record a read event |
Never use an LLM for these. They are exact.
Workflows
Ingest
Trigger: "ingest", "add source", user provides URL/file/path.
kb_meta.py init(no-op if exists)- Source type: URL -> WebFetch. PDF -> extract text. File -> copy.
- Save to
raw/{type}/with frontmatter:source,ingested,source_type,authority kb_meta.py diff-- report count- Ask: "Compile now?"
Compile
Trigger: "compile", "update wiki".
Gate: kb_meta.py diff -- if new and changed are both empty, stop.
Config: Read {topic}/schema/compile-config.yaml. Missing? Use templates/base/compile-config.yaml. Config has the extraction prompt, coverage thresholds, and parallelism settings.
Existing state: Read wiki/_index.md to get existing concept names (prevents duplicate creation).
Extract: Per changed source, dispatch a subagent (model per config model_tier):
- Send config's
extraction.prompt+ raw file content + existing concept names - Subagent returns JSON:
{ summary, concepts[], relationships[] } - Invalid JSON? Skip source, warn, continue.
Write summaries: One per source at wiki/summaries/{source-slug}.md. Overwrite if exists.
---
source: "[[raw/{source_file}]]"
compiled: {date}
---
# {title}
{one_liner}
## Key Points
- {point1}
- {point2}
## Related Concepts
- [[concepts/{concept-slug}]] -- {one_liner}Write concepts: At wiki/concepts/{name-slug}.md.
- New concept: write full article (overview + properties + sources).
- Existing concept: append new properties and source. Do NOT rewrite overview.
Coverage tags: Count sources referencing each concept. Per config thresholds (default: 1=low, 2=medium, 4+=high).
Metadata: For each compiled source:
$KB_META update-hash "$VAULT" "$TOPIC" "raw/{file}"
$KB_META update-index "$VAULT" "$TOPIC"
$KB_META check-links "$VAULT" "$TOPIC"Report: sources compiled, summaries written, new/updated concepts, broken links, coverage distribution.
See templates/examples/ for real output from the brillm topic.
Query
Trigger: question about knowledge base content.
- Read
wiki/_index.md, pick 3-8 relevant articles - Read articles.
kb_meta.py log-accessfor each - Synthesize with [[wikilink]] citations. State coverage confidence.
- If external data was needed: suggest filing to raw/ for compilation
Lint
Trigger: "lint", "health check".
Deterministic (free):
check-links-- broken wikilinksdiff-- uncompiled sourcesvitality-- stale/dead articles
LLM (sonnet scan, opus judgment):
- Redundant concepts to merge
- Contradicting claims across articles
- Referenced concepts with no article
Output: wiki/_lint-{date}.md
Evolve
Trigger: "evolve", "what's missing".
- Read _index.md + high-vitality articles
vault.graph-- find orphans, weak clusters- Identify: missing articles, shallow hubs, research questions
- Present ranked suggestions. User picks, agent executes.
Formatting
[[wikilinks]]for all vault refs. Never markdown links for internal.- YAML frontmatter: sources, coverage, compiled date.
[[link|display text]]when display differs from target.
Mistakes That Will Waste Your Time
- Recompiling unchanged sources --
kb_meta.py difffirst, always - Skipping
update-index+check-linksafter compile -- index goes stale - Using
[text](path)instead of[[wikilinks]]-- Obsidian won't resolve - Running LLM for diffing or link checking -- kb_meta.py does it in milliseconds
- Editing wiki articles by hand -- edit raw/, recompile. Wiki is LLM-maintained.
- Forgetting
log-accesson query reads -- vitality scoring goes blind
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.

