By proyecto26
Generate Google NotebookLM artifacts (slides, audio, video, mind maps, quizzes, flashcards, infographics, reports, data tables) from the command line, and manage sources, notes, and notebooks within NotebookLM.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
npx claudepluginhub proyecto26/notebooklm-ai-plugin --plugin notebooklm-ai-pluginResearch & Implementation Supercharged with a curated list of AI skills for academic paper analysis, code generation, comic creation, visual schemas, and deep research.
A divide-and-conquer wiki of system-design skills. Reason about a design problem one part at a time -- requirements, capacity, APIs, storage, caching, load balancing, messaging, consistency, resilience, delivery, and scaling -- each with generic recipes, cloud-provider variants (AWS/Azure/GCP/Temporal), explicit trade-offs, and failure-mode analysis. Optimizes for reasoning over memorized architectures.
Professional presentation generator for HTML (with GSAP animations) and PPTX formats. Creates conference talks, pitch decks and tech presentations with curated style presets and validation.
Autonomous experiment loop that edits code, runs benchmarks, measures metrics, and keeps improvements or reverts — repeating forever. Works for any optimization target: LLM training loss, test speed, bundle size, build time, Lighthouse scores, and more.
Automate Google NotebookLM at scale. Citation-backed Q&A, full Studio generation (audio, video, infographic, report, presentation, data table), multi-account rotation with auto-reauth, and batch_to_vault for offline RTFM-ingestable answer caching.
AI thinking partner for your Obsidian vault — process, recall, synthesize, research with evidence-backed learning science
Convert any content or file format into NotebookLM-compatible formats. Enables seamless integration of diverse data sources with Google's AI learning tool.
Self-evolving knowledge agent for Obsidian — from a quick capture to a full course build, for any subject. Matches structure to the material, fits your vault, and learns your conventions from each run.
Research skills for an Obsidian vault — build, query, lint, distill, and render a persistent LLM-maintained research wiki over your vault, Readwise, NotebookLM, GitHub repos, and the web. Bundles the source CLIs' usage skills.
LLM-maintained knowledge base skill — structured wiki with Obsidian, milestone-based source clustering, proactive write-back, and autonomous lint