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Obsidian Librarian

Obsidian second-brain and knowledge-base skill. Save any URL, article, tweet, or X post to your Obsidian vault as clean, categorized, wikilinked markdown. Tw...
Obsidian 第二大脑与知识库技能。将任意 URL、文章、推文或 X 帖子保存为干净、分类、带维基链接的 Markdown 文件。
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未分类 clawhub v0.2.7 1 版本 100000 Key: 需要
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概述

Obsidian Librarian

A second brain for Obsidian, on autopilot. Drop any URL, article, tweet, X post, or pasted text into OpenClaw and it lands in your vault as a clean, categorized, wikilinked markdown note. Then ask your whole vault anything and get grounded answers with citations.

Use this skill when the user wants OpenClaw to store text or a URL in the Obsidian vault as a cleaned, categorized markdown note, or to search and query notes they have already saved.

Trigger shortcuts:

  • Treat save this, save it, save this url, and save this link as Obsidian-librarian requests when the same message contains a URL, pasted text, or quoted content to preserve.
  • Treat short follow-ups like save it as Obsidian-librarian requests when the immediately preceding user message provided the text or URL to store.
  • Treat phrases like search my notes, search my vault, search Obsidian, what do my notes say about ..., ask my vault, and query my saved notes as Obsidian-librarian requests that should run the RAG ask path.
  • If the message only says save this or save it with no actual content or URL available in context, do not guess; ask what should be saved.
  • If the intent is ambiguous between saving to the local filesystem versus saving to the knowledge vault, prefer the Obsidian vault when the content looks like a note, article, research snippet, or social post.

The vault is mounted in the container at /data/.openclaw/obsidian-vault. Raw inputs are staged in /data/.openclaw/obsidian-vault/_Inbox, then processed into category folders.

Environment

Required:

  • GEMINI_API_KEY: Gemini API key used for both ingest and RAG answer generation.
  • OBSIDIAN_VAULT_PATH: Absolute path to the mounted Obsidian vault.

Conditional:

  • APIFY_API_KEY: Required for URL ingestion.

Optional:

  • OBSIDIAN_INBOX_FOLDER: Override the inbox folder name. Default: _Inbox.
  • OBSIDIAN_GEMINI_MODEL: Primary model override for librarian operations.
  • GEMINI_MODEL: Fallback model name when OBSIDIAN_GEMINI_MODEL is unset.
  • OBSIDIAN_RAG_INDEX_PATH: Override the local JSON RAG index path.
  • SUPABASE_URL: Enable Supabase-backed vector storage.
  • SUPABASE_KEY: Supabase API key for vector storage.
  • EMBEDDING_MODEL: Embedding model override. Default: gemini-embedding-001.
  • EMBEDDING_DIMENSIONS: Embedding size. Default: 384.

URL handling policy:

  • Always use Apify to read the URL first.
  • For x.com / twitter.com post URLs, use the dedicated Apify tweet actor.
  • If an X post contains linked URLs, follow those linked URLs through the same Apify-first path before falling back.
  • If direct URL reading fails, run a web-search fallback and stage the search-result snapshot instead.
  • If both stages fail, surface the full error back to OpenClaw instead of silently swallowing it.

Supported Inputs

  • Pasted text
  • A local text/markdown file
  • A blog/article URL
  • An existing file already sitting in _Inbox
  • A natural-language question about the saved vault

Workflow

  1. Stage the raw source in _Inbox/.
  2. Run Gemini pass 1 to clean and structure it into markdown.
  3. Run Gemini pass 2 to choose category, tags, source attribution, and candidate wikilinks.
  4. Scan existing vault notes for titles and aliases to resolve [[wikilinks]].
  5. Write the final note with YAML frontmatter into the chosen category folder.
  6. Delete the _Inbox file only after the final note is written successfully.

Ingest From Text File

python3 {baseDir}/scripts/run_pipeline.py ingest --text-file /data/.openclaw/workspace/input.txt

Ingest From URL

python3 {baseDir}/scripts/run_pipeline.py ingest --url "https://example.com/article"

Ingest An Existing Inbox File

python3 {baseDir}/scripts/run_pipeline.py ingest --inbox-file /data/.openclaw/obsidian-vault/_Inbox/some-file.md

Ask The Vault (RAG)

python3 {baseDir}/scripts/run_pipeline.py --vault-path /data/.openclaw/obsidian-vault ask "What do my notes say about AI agents?" --print-json

Optional flags: --category , --threshold (default 0.65), --limit (default 5).

Reindex The Vault

python3 {baseDir}/scripts/run_pipeline.py --vault-path /data/.openclaw/obsidian-vault reindex

Add --file to re-embed a single note instead of the full vault.

Notes

  • For long pasted text, prefer writing it to a temp file under /data/.openclaw/workspace/ and using ingest --text-file.
  • Use --title "Custom Title" on ingest for an explicit note title override.
  • Use --keep-inbox only when debugging. Normal behavior is to clean up the staged source after success.
  • X status URLs preserve deterministic post metadata and captured post content instead of relying on a generic article-style rewrite.
  • The pipeline does forward-linking only in v1. Existing notes are not modified.
  • URL ingestion requires APIFY_API_KEY in the container environment.
  • RAG indexing runs after successful ingests. By default it uses a local JSON index; set SUPABASE_URL and SUPABASE_KEY to use Supabase pgvector instead (requires EMBEDDING_DIMENSIONS=384 to match sql/vault_chunks.sql).
  • SUPABASE_URL must point at a Supabase-compatible API surface. All requests are issued against /rest/v1/..., so self-hosted PostgREST needs a gateway or reverse proxy that serves that prefix.
  • Before enabling Supabase, apply sql/vault_chunks.sql to the target database. It provisions the vault_chunks table, the HNSW index, and the match_vault_chunks RPC that the ask command calls.

版本历史

共 1 个版本

  • v0.2.7 当前
    2026-05-03 11:24 安全 安全

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