notebooklm-research
Skill4 starsChanged 8 months agoMITView on GitHub
Run YouTube-driven research in ArgentOS by searching videos and sending links into NotebookLM for synthesis and infographic outputs via youtube_notebooklm.
- Installs packages
5 other projects use a version of this.
Adopted by
Most recently taken up by
- mamefarah/claude-skillstheir own version, first seen Jul 19, 2026
- mahiunfiltered/claude-code-skillstheir own version, first seen Jul 8, 2026
- claude-world/notebooklm-skilltheir own version, first seen Mar 24, 2026
- jakubs2623/notebooklm-skilltheir own version, first seen Mar 21, 2026
- huskerjeff/claude-skilltheir own version, first seen Mar 20, 2026
Other versions5 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 5
- claude-world/notebooklm-skill★ 482same name
- jakubs2623/notebooklm-skill★ 7same name
- mahiunfiltered/claude-code-skills★ 1same name
- huskerjeff/claude-skill★ 0same name
- mamefarah/claude-skills★ 0same name
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 repository50 other files it gives its agents.
- model-usage/CLAUDE.mdCLAUDE.md
- peekaboo/CLAUDE.mdCLAUDE.md
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- model-usageSkill
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- openhueSkill
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- songseeSkill
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- vercelSkill
- video-framesSkill
- vip-emailSkill
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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 5 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 16
Use youtube_notebooklm when the user wants market research, trend mapping, competitor scans, or synthesis from YouTube sources through …
- Very specific: line 20
Use youtube_to_notebook_workflow for end-to-end execution:
- Distinctive: line 24
Add videos as sources
- Distinctive: line 25
Ask NotebookLM for analysis
- Very specific: line 30
Call setup_status first. If setupRequired: true, run the returned next_steps commands before continuing.
- Distinctive: line 58
Use granular actions if the user wants custom sequencing or to reuse an existing notebook.
- Distinctive: line 71
If commands fail, report missing prerequisites and suggest the exact install/login command.
- Very specific: line 75
Default recency filter is last 6 months (months: 6).
- Very specific: line 77
Keep wait_for_sources: true for reliable downstream analysis.
“Common” is measured: kept by at least 6 in 10 of the 5 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
NotebookLM Research
Use youtube_notebooklm when the user wants market research, trend mapping, competitor scans, or synthesis from YouTube sources through NotebookLM.
Primary Action
Use youtube_to_notebook_workflow for end-to-end execution:
- Search YouTube
- Create NotebookLM notebook
- Add videos as sources
- Ask NotebookLM for analysis
- Optionally generate/download infographic
First-run check:
- Call
setup_statusfirst. IfsetupRequired: true, run the returnednext_stepscommands before continuing.
Fast Start
{
"action": "youtube_to_notebook_workflow",
"query": "Claude Code skills marketing",
"count": 10,
"months": 6,
"question": "What are the strongest recurring GTM patterns and differentiators across these videos?",
"generate_infographic": true,
"infographic_prompt": "Create a handwritten blueprint style infographic with GTM patterns, risks, and opportunities.",
"infographic_orientation": "portrait",
"infographic_detail": "detailed"
}Granular Actions
youtube_searchsetup_statusnotebook_createnotebook_add_sourcesnotebook_asknotebook_generate_infographic
Use granular actions if the user wants custom sequencing or to reuse an existing notebook.
Prerequisites
Install dependencies once:
pip install yt-dlp
pip install "notebooklm-py[browser]"
playwright install chromium
notebooklm loginIf commands fail, report missing prerequisites and suggest the exact install/login command.
Operating Notes
- Default recency filter is last 6 months (
months: 6). - Set
no_date_filter: trueto include all upload dates. - Keep
wait_for_sources: truefor reliable downstream analysis. - For stakeholder-ready output, enable
generate_infographicand keep the prompt specific.
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.

