--- title: "awesome-notebookLM-prompts vs Skill_Seekers" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/serenakeyitan-awesome-notebooklm-prompts-vs-yusufkaraaslan-skill-seekers" tools: ["serenakeyitan-awesome-notebooklm-prompts", "yusufkaraaslan-skill-seekers"] --- # awesome-notebookLM-prompts vs Skill_Seekers *GraphCanon updated Aug 26, 2026* ## 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. [awesome-notebookLM-prompts](https://github.com/serenakeyitan/awesome-notebookLM-prompts) reports 4.3k GitHub stars, 622 forks, and 1 open issues, last pushed Jun 19, 2026. [Skill_Seekers](https://skillseekersweb.com/) has 15k stars, 1.5k forks, and 54 open issues, last pushed Aug 25, 2026. Figures are from public GitHub metadata via [awesome-notebookLM-prompts's repository](https://github.com/serenakeyitan/awesome-notebookLM-prompts) and [Skill_Seekers's repository](https://github.com/yusufkaraaslan/Skill_Seekers). | | [awesome-notebookLM-prompts](/tools/serenakeyitan-awesome-notebooklm-prompts.md) | [Skill_Seekers](/tools/yusufkaraaslan-skill-seekers.md) | | --- | --- | --- | | Tagline | Curated collection of NotebookLM slide prompts for AI presentations | Automation tool for converting documentation and code into Claude AI skills | | Stars | 4,336 | 14,827 | | Forks | 622 | 1,513 | | Open issues | 1 | 54 | | Language | - | Python | | Adopt for | A curated collection of effective prompts for NotebookLM AI presentations, aimed at users focused on creative prompt engineering. | Skill_Seekers is a Python-based tool that automates conversion of various documentation sources into Claude AI skills with built-in conflict detection. | | Persona | - | - | | Runtime | - | - | | License | Freely redistributable under the MIT License, allowing use in various projects as long as copyright and license notices are preserved. | MIT | | Categories | AI Agents, Developer Tools | AI Agents, Developer Tools, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-notebookLM-prompts](/tools/serenakeyitan-awesome-notebooklm-prompts.md) | [Skill_Seekers](/tools/yusufkaraaslan-skill-seekers.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 38d | 0d | | Open issues (now) | 1 | 54 | | Stars delta | Unknown | +262 (30d) | | Open issues delta | Unknown | +6 (30d) | | Full report | [trust report](/tools/serenakeyitan-awesome-notebooklm-prompts/trust.md) | [trust report](/tools/yusufkaraaslan-skill-seekers/trust.md) | ## Decision facts: awesome-notebookLM-prompts - **Adopt for:** A curated collection of effective prompts for NotebookLM AI presentations, aimed at users focused on creative prompt engineering. - **License detail:** Freely redistributable under the MIT License, allowing use in various projects as long as copyright and license notices are preserved. ## Decision facts: Skill_Seekers - **Adopt for:** Skill_Seekers is a Python-based tool that automates conversion of various documentation sources into Claude AI skills with built-in conflict detection. ## Choose when ### 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). ### 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 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 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 ## 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 (14,827 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](/tools/serenakeyitan-awesome-notebooklm-prompts/alternatives) and [Skill_Seekers alternatives](/tools/yusufkaraaslan-skill-seekers/alternatives) ([awesome-notebookLM-prompts markdown twin](/tools/serenakeyitan-awesome-notebooklm-prompts/alternatives.md), [Skill_Seekers markdown twin](/tools/yusufkaraaslan-skill-seekers/alternatives.md)), 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](/compare/serenakeyitan-awesome-notebooklm-prompts-vs-yusufkaraaslan-skill-seekers.md) 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](/tools/serenakeyitan-awesome-notebooklm-prompts/trust); [Skill_Seekers trust report](/tools/yusufkaraaslan-skill-seekers/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=serenakeyitan-awesome-notebooklm-prompts`](/api/graphcanon/graph?tool=serenakeyitan-awesome-notebooklm-prompts) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_