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2233admin2233admin/obsidian-vault-bridge/skills/vault-bridge/SKILL.md

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

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.
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    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.

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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
  1. Very specific:

    Read kb.yaml from the vault root before doing anything.

    line 9
  2. Distinctive:

    All vault operations go through MCP.

    line 13
  3. Distinctive:

    Never use an LLM for these.

    line 42
  4. Very specific:

    Config: Read {topic}/schema/compile-config.yaml.

    line 62
  5. Very specific:

    Existing state: Read wiki/_index.md to get existing concept names (prevents duplicate creation).

    line 64
  6. Very specific:

    Read wiki/_index.md, pick 3-8 relevant articles

    line 108
  7. Very specific:

    Read articles. kb_meta.py log-access for each

    line 109
  8. Distinctive:

    If external data was needed: suggest filing to raw/ for compilation

    line 111
  9. Distinctive:

    Read _index.md + high-vitality articles

    line 133

“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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

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.

MethodDoes what
vault.initScaffold topic: raw/, wiki/, schema/, Log.md, kb.yaml
vault.read / vault.create / vault.modify / vault.append / vault.deleteCRUD (writes are dry-run gated)
vault.search / vault.searchByTag / vault.searchByFrontmatterFind notes
vault.graph / vault.backlinksLink graph
vault.batchMultiple ops in one round-trip
vault.lintStructural health check
vault.list / vault.stat / vault.existsNavigation

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...]
CommandWhat
initCreate _meta.json
diffHash-diff raw/ against compiled state
update-hash <file>Mark a raw file as compiled
update-indexRebuild _index.md from wiki/
check-linksValidate [[wikilinks]] resolve
vitalityAccess-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.

  1. kb_meta.py init (no-op if exists)
  2. Source type: URL -> WebFetch. PDF -> extract text. File -> copy.
  3. Save to raw/{type}/ with frontmatter: source, ingested, source_type, authority
  4. kb_meta.py diff -- report count
  5. 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.

  1. Read wiki/_index.md, pick 3-8 relevant articles
  2. Read articles. kb_meta.py log-access for each
  3. Synthesize with [[wikilink]] citations. State coverage confidence.
  4. If external data was needed: suggest filing to raw/ for compilation

Lint

Trigger: "lint", "health check".

Deterministic (free):

  • check-links -- broken wikilinks
  • diff -- uncompiled sources
  • vitality -- 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".

  1. Read _index.md + high-vitality articles
  2. vault.graph -- find orphans, weak clusters
  3. Identify: missing articles, shallow hubs, research questions
  4. 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

  1. Recompiling unchanged sources -- kb_meta.py diff first, always
  2. Skipping update-index + check-links after compile -- index goes stale
  3. Using [text](path) instead of [[wikilinks]] -- Obsidian won't resolve
  4. Running LLM for diffing or link checking -- kb_meta.py does it in milliseconds
  5. Editing wiki articles by hand -- edit raw/, recompile. Wiki is LLM-maintained.
  6. Forgetting log-access on query reads -- vitality scoring goes blind

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