ObsidianDataWeave: NotebookLM, Atomization, and LLM Wiki SKILL.md skillA
ObsidianDataWeave: NotebookLM, Atomization, and LLM Wiki from howdeploy/deploychan_mcp is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add howdeploy/deploychan_mcp/ObsidianDataWeave: NotebookLM, Atomization, and LLM Wiki@git:20260728.08cfcc8Pins git:20260728.08cfcc8 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- howdeploy/deploychan_mcp
- Path
content/skills/obsidian-dataweave/SKILL.md- Versions recorded
- 3
- Latest version
- git:20260728.08cfcc8, committed Jul 28, 2026
- First version recorded
- Jul 4, 2026
- Size
- 6,964 bytes
- Repository stars
- 21
- License
- MIT
Use when the user wants to control NotebookLM programmatically, import .docx into an Obsidian vault as atomic Zettelkasten notes, build a compiled LLM Wiki layer, or full-text-search the whole vault. Claude Code and Codex both supported.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# ObsidianDataWeave Turns Claude Code and Codex into a full control panel for NotebookLM and your Obsidian vault. You run deep research, manage sources, and pull notes out of notebooks — all with a single natural-language command. In parallel, it imports `.docx` from Google Drive and atomizes them into Zettelkasten notes with a MOC, tags, and wikilinks. On top — an isolated **LLM Wiki** layer (a compiled base in the Karpathy style), and **FTS5 memory** — a full-text index of the entire vault without a single external dependency. Public: `howdeploy/ObsidianDataWeave`, MIT. Both clients are supported natively: Claude Code (a global skill) and Codex Desktop / CLI / IDE (a native global skill of its own). ## Four Layers 1. **NotebookLM → Obsidian.** Programmatic control of NotebookLM through `notebooklm-py` as a library (not the CLI — strictly one-shot, no retry duplication). Deep/fast research, source management, dedup, note extraction, and atomization into the vault. 2. **.docx → Obsidian.** Import from Google Drive (rclone) → parse → atomize → write. 3. **LLM Wiki.** A compiled wiki on top of the atomic notes: it accumulates through an explicit …
Read the whole file at its exact version.
How to install
mdr add howdeploy/deploychan_mcp/ObsidianDataWeave: NotebookLM, Atomization, and LLM Wiki@sha256:566c8d6c5cfa7209The line at the top of this page pins the label git:20260728.08cfcc8, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_yuyxjt4rhq7me6dt)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Jul 4, 2026 and Jul 28, 2026, about one every 12 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260728.08cfcc8 latest | 2026-07-28 | 08cfcc8 | 6,964 B | A | view · diff |
| git:20260704.135f674 | 2026-07-04 | 135f674 | 5,814 B | A | view · diff |
| git:20260704.627066e | 2026-07-04 | 627066e | 7,902 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (6964 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
howdeploy/deploychan_mcp · 21 stars · license MIT · pushed 2026-10-28 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_yuyxjt4rhq7me6dt GET https://markdownregistry.com/api/v1/resolve?ref=howdeploy/deploychan_mcp/ObsidianDataWeave: NotebookLM, Atomization, and LLM Wiki GET https://markdownregistry.com/api/v1/blob/566c8d6c5cfa7209a56e706e0818bdf60f24987eb714d87f067c7ecca3053fd5
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.