NotebookLM Presentation Prompts for Openclaw

A comprehensive library of curated prompt templates for generating high-quality presentation slides using AI tools like NotebookLM and Kael.im.

yenava
v1.0.0
Mar 8, 2026
1
1.2k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install notebooklm-prompts

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install notebooklm-prompts using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is NotebookLM Presentation Prompts?

The NotebookLM Presentation Prompts skill is a specialized toolkit designed for users who need to bridge the gap between raw data and visually compelling slide decks. By utilizing the structured templates provided through Openclaw Skills, users can quickly generate prompts that dictate specific aesthetic styles such as modern editorial, neo-retro tech, or architectural minimalism. This skill significantly reduces the time spent on design conceptualization and prompt engineering for AI-driven presentation tools.

Whether you are preparing a business seminar, a developer keynote, or a creative agency pitch, this skill provides the necessary framework to ensure your output is consistent, professional, and tailored to your audience's expectations.

NotebookLM Presentation Prompts Use Cases

  • Creating professional business decks with a Swiss Bauhaus or minimalist aesthetic.
  • Generating engaging storytelling presentations using manga or magazine-style layouts.
  • Building developer-centric technical decks with 90s-inspired neo-retro pixel art.
  • Crafting high-impact sports or athletic-themed presentations with dynamic energy.
  • Designing premium product showcases using Apple-style studio and mockup templates.

How NotebookLM Presentation Prompts Works

  1. The user initiates the workflow by providing a presentation topic and describing the target audience.
  2. The Openclaw Skills agent presents a selection of available styles categorized by editorial, pop, artistic, or professional themes.
  3. Once a style is selected, the agent retrieves the corresponding template and populates it with the user's source information.
  4. The agent provides the finalized, optimized prompt for the user to input directly into NotebookLM or Kael.im.

NotebookLM Presentation Prompts Setup

To integrate these templates into your workflow, ensure your agent has access to the Openclaw Skills directory. You can manually copy the desired templates from the prompts library or call them via your AI agent interface.

# Example of how an agent might reference this skill
openclaw install notebooklm-prompts

No complex environment configuration is required; simply define your content and choose your preferred visual style.

NotebookLM Presentation Prompts Data Schema & Taxonomy

The skill organizes its prompt library into logical stylistic categories to ensure easy retrieval. Below is the metadata taxonomy used:

Style Category Key Aesthetics Primary Use Case
Editorial & Business Grid-based, Bauhaus, Minimalism Corporate, Seminars
Pop & Youth Manga, Street-style, Neo-Retro Marketing, Storytelling
Artistic Watercolor, Handwritten Mix Creative, Avant-Garde
Professional Studio Mockups, UI Focus Product Launches
Sports Dynamic, High-impact Athletic, High-energy

NotebookLM Presentation Prompts Advanced Features

  • Support for multilingual generation by appending language-specific instructions to the prompt templates.
  • Context-aware customization that replaces [Source Information] placeholders with real-time data analysis.
  • Cross-platform compatibility for both NotebookLM and Kael.im slide generation engines.
  • Dynamic style matching that suggests themes based on the sentiment and tone of the input content through Openclaw Skills logic.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Github Stars: 0
forks: 0

Featured*