deep-research-notebooklm
deep-research-notebooklm is a Research reports & synthesis skill for AI agents, published by davila7 in the claude-code-templates repository on GitHub. Skillspace rates deep-research-notebooklm D (63/100) and it passed the safety scan; a judge model has also reviewed it.
Deep research skill powered by NotebookLM MCP. Conducts structured multi-source research (market analysis, competitive intel, trend analysis, prospect research) using Google NotebookLM as the research engine, then delivers formatted briefs and optional studio artifacts (slides, audio podcasts, videos, infographics, reports, mind maps).
- Grade
- D
- Quality
- 63 / 100
- Safety
- Passed
- GitHub stars
- 30,694
Placed #4 of 6 in the judged category final for Research reports & synthesis.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 91 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Judge review
Placed #4 of 6 in the judged category final for Research reports & synthesis.
- Trigger
75 75 - Instructions
85 85 - Specificity
85 85 - Safety
85 85 - Disclosure
65 65 - Maintenance
55 55
Nine concrete, ordered steps with real API calls and sensible fast/deep mode guidance, but it stays a fairly long single file with only one reference offloaded.
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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