Comparison
awesome-notebookLM-prompts vs Skill_Seekers
Verdict
Pick awesome-notebookLM-prompts if a curated collection of effective prompts for NotebookLM AI presentations, aimed at users focused on creative prompt engineering; pick Skill_Seekers if skill_Seekers is a Python-based tool that automates conversion of various documentation sources into Claude AI skills with built-in conflict detection.
Markdown twin · awesome-notebookLM-prompts alternatives · Skill_Seekers alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | awesome-notebookLM-prompts | Skill_Seekers |
|---|---|---|
| Maintenance | Steady (38d since push) As of 3w · github_public_v1 | Very active (5d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 3w · github_public_v1 | Not a fork · Personal account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- awesome-notebookLM-prompts
- Curated collection of NotebookLM slide prompts for AI presentations
- Skill_Seekers
- Automation tool for converting documentation and code into Claude AI skills
Stars
- awesome-notebookLM-prompts
- 4.3k
- Skill_Seekers
- 15k
Forks
- awesome-notebookLM-prompts
- 622
- Skill_Seekers
- 1.5k
Open issues
- awesome-notebookLM-prompts
- 1
- Skill_Seekers
- 48
Language
- awesome-notebookLM-prompts
- -
- Skill_Seekers
- Python
Adopt for
- awesome-notebookLM-prompts
- A curated collection of effective prompts for NotebookLM AI presentations, aimed at users focused on creative prompt engineering.
- Skill_Seekers
- Skill_Seekers is a Python-based tool that automates conversion of various documentation sources into Claude AI skills with built-in conflict detection.
Persona
- awesome-notebookLM-prompts
- -
- Skill_Seekers
- -
Runtime
- awesome-notebookLM-prompts
- -
- Skill_Seekers
- -
License
- awesome-notebookLM-prompts
- Freely redistributable under the MIT License, allowing use in various projects as long as copyright and license notices are preserved.
- Skill_Seekers
- MIT
Last pushed
- awesome-notebookLM-prompts
- Jun 19, 2026
- Skill_Seekers
- Jul 20, 2026
Categories
- awesome-notebookLM-prompts
- AI Agents, Developer Tools
- Skill_Seekers
- AI Agents, Developer Tools, Model Training
Trust and health
Maintenance
- awesome-notebookLM-prompts
- Steady (60%)
- Skill_Seekers
- Very active (96%)
Days since push
- awesome-notebookLM-prompts
- 38d
- Skill_Seekers
- 5d
Open issues (now)
- awesome-notebookLM-prompts
- 1
- Skill_Seekers
- 48
Full report
- awesome-notebookLM-prompts
- Trust report
- Skill_Seekers
- Trust report
Choose awesome-notebookLM-prompts if…
- Tags unique to awesome-notebookLM-prompts: ai, ai-agents, notebooklm, prompt-engineering.
- When you need a variety of pre-curated slide prompts to speed up the creation of innovative AI-driven PowerPoint presentations
- Leaner open-issue backlog (1).
When NOT to use awesome-notebookLM-prompts
- For users looking for generalized prompt tools not specific to NotebookLM or its creative underground style
- If you seek a solution that provides comprehensive support and documentation over curated prompt collections alone
Choose Skill_Seekers if…
- Tags unique to Skill_Seekers: ai-tools, automation, claude-ai, code-analysis.
- Also covers Model Training.
- Skill_Seekers ships Docker support for self-hosted deployment.
- When you need to integrate extensive online and offline technical documents into Claude AI for quick skill development
When NOT to use Skill_Seekers
- If your primary documentation is in formats not supported by Skill_Seekers, such as.docx or image-based documents lacking OCR support
- When you specifically require manual oversight of every step in skill creation to ensure precision and customization for your specific needs
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (serenakeyitan/awesome-notebookLM-prompts) · observed Jul 28, 2026
- GitHub forks (serenakeyitan/awesome-notebookLM-prompts) · observed Jul 28, 2026
- Last push (serenakeyitan/awesome-notebookLM-prompts) · observed Jun 19, 2026
- License file (MIT) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (yusufkaraaslan/Skill_Seekers) · observed Jul 26, 2026
- GitHub forks (yusufkaraaslan/Skill_Seekers) · observed Jul 26, 2026
- Last push (yusufkaraaslan/Skill_Seekers) · observed Jul 20, 2026
- License file (MIT) · observed Jul 26, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome-notebookLM-prompts 4.3k · Skill_Seekers 15k (synced Jul 28, 2026).
Common questions
- What is the difference between awesome-notebookLM-prompts and Skill_Seekers?
- awesome-notebookLM-prompts: Curated collection of NotebookLM slide prompts for AI presentations. Skill_Seekers: Automation tool for converting documentation and code into Claude AI skills. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-notebookLM-prompts over Skill_Seekers?
- Choose awesome-notebookLM-prompts over Skill_Seekers when Tags unique to awesome-notebookLM-prompts: ai, ai-agents, notebooklm, prompt-engineering; When you need a variety of pre-curated slide prompts to speed up the creation of innovative AI-driven PowerPoint presentations; Leaner open-issue backlog (1).
- When should I choose Skill_Seekers over awesome-notebookLM-prompts?
- Choose Skill_Seekers over awesome-notebookLM-prompts when Tags unique to Skill_Seekers: ai-tools, automation, claude-ai, code-analysis; Also covers Model Training; Skill_Seekers ships Docker support for self-hosted deployment; When you need to integrate extensive online and offline technical documents into Claude AI for quick skill development.
- When should I avoid awesome-notebookLM-prompts?
- For users looking for generalized prompt tools not specific to NotebookLM or its creative underground style If you seek a solution that provides comprehensive support and documentation over curated prompt collections alone
- When should I avoid Skill_Seekers?
- If your primary documentation is in formats not supported by Skill_Seekers, such as.docx or image-based documents lacking OCR support When you specifically require manual oversight of every step in skill creation to ensure precision and customization for your specific needs
- Is awesome-notebookLM-prompts or Skill_Seekers more popular on GitHub?
- Skill_Seekers has more GitHub stars (14,565 vs 4,336). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-notebookLM-prompts and Skill_Seekers open source?
- Yes - both are open-source projects on GitHub (awesome-notebookLM-prompts: MIT, Skill_Seekers: MIT).
- Where can I find alternatives to awesome-notebookLM-prompts or Skill_Seekers?
- GraphCanon lists graph-backed alternatives at awesome-notebookLM-prompts alternatives and Skill_Seekers alternatives (awesome-notebookLM-prompts markdown twin, Skill_Seekers markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, awesome-notebookLM-prompts or Skill_Seekers?
- awesome-notebookLM-prompts: Steady. Skill_Seekers: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for awesome-notebookLM-prompts and Skill_Seekers?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-notebookLM-prompts trust report; Skill_Seekers trust report.