--- name: ai-slides-9ab8bfc9ee66 description: Generate complete presentations with AI - from outline to polished slides author: claude-office-skills version: "1.0" tags: [presentation, ai, automation, slides, content] models: [claude-sonnet-4, claude-opus-4] tools: [computer, code_execution, file_operations] --- # AI Slides Skill ## Overview This skill enables AI-powered presentation generation. Provide a topic or outline, and get a complete, polished presentation with proper structure, content, and formatting. ## How to Use 1. Provide a topic, outline, or rough notes 2. Specify audience and presentation length 3. I'll generate a complete presentation **Example prompts:** - "Create a 10-slide presentation about machine learning" - "Generate a pitch deck for a SaaS startup" - "Build training slides on cybersecurity basics" - "Make a quarterly review presentation from this data" ## Domain Knowledge ### Presentation Structure ```yaml # Effective presentation structure structure: - title_slide: title: "Clear, compelling title" subtitle: "Context or tagline" author: "Presenter name" - agenda: items: 3-5 main topics - introduction: hook: "Attention-grabbing opening" context: "Why this matters" - main_content: sections: 3-5 key points each_section: - heading - 3-5 bullets or visual - supporting data - conclusion: summary: "Key takeaways" call_to_action: "What to do next" - closing: thank_you: true contact_info: true qa_prompt: true ``` ### Content Generation Pattern ```python def generate_presentation(topic, audience, slide_count=10): """AI-powered presentation generation.""" # 1. Generate outline outline = generate_outline(topic, slide_count) # 2. Expand each section slides = [] for section in outline: slide_content = expand_section(section, audience) slides.append(slide_content) # 3. Add visuals suggestions for slide in slides: slide['visuals'] = suggest_visuals(slide['content']) # 4. Format as Marp markdown presentation = format_as_marp(slides) return presentation def generate_outline(topic, count): """Generate presentation outline.""" # Typical structure outline = [ {'type': 'title', 'title': topic}, {'type': 'agenda'}, # Main content (60% of slides) # ... content slides {'type': 'summary'}, {'type': 'closing'} ] return outline ``` ### Marp Output ```python def format_as_marp(slides): """Convert slides to Marp markdown.""" marp = """--- marp: true theme: gaia paginate: true --- """ for slide in slides: if slide['type'] == 'title': marp += f""" # {slide['title']} {slide.get('subtitle', '')} --- """ elif slide['type'] == 'content': marp += f"""# {slide['heading']} """ for point in slide['points']: marp += f"- {point}\n" marp += "\n---\n\n" return marp ``` ## Example: Generate Tech Talk ```python topic = "Introduction to Docker" audience = "Developers new to containers" slides = 10 # Generated presentation presentation = """--- marp: true theme: gaia paginate: true --- # Introduction to Docker Containerization Made Simple --- # Agenda 1. What is Docker? 2. Core Concepts 3. Getting Started 4. Best Practices 5. Demo --- # What is Docker? - Container platform for packaging applications - Lightweight alternative to VMs - "Build once, run anywhere" - 15M+ developers, 7M+ applications --- # Why Containers? | VMs | Containers | |-----|------------| | GB size | MB size | | Minutes to start | Seconds to start | | Full OS | Shared kernel | --- # Core Concepts - **Image**: Blueprint/template - **Container**: Running instance - **Dockerfile**: Build instructions - **Registry**: Image storage (Docker Hub) --- # Getting Started ```bash # Pull an image docker pull nginx # Run a container docker run -p 8080:80 nginx # List containers docker ps ``` --- # Your First Dockerfile ```dockerfile FROM node:18 WORKDIR /app COPY package*.json ./ RUN npm install COPY . . EXPOSE 3000 CMD ["npm", "start"] ``` --- # Best Practices - Use official base images - Minimize layers - Don't run as root - Use .dockerignore - Multi-stage builds --- # Summary ✅ Docker simplifies deployment ✅ Containers are lightweight & fast ✅ Easy to get started ✅ Industry standard --- # Questions? Resources: docs.docker.com """ ``` ## Best Practices 1. **Know Your Audience**: Tailor complexity and examples 2. **One Idea Per Slide**: Keep focused 3. **6x6 Rule**: Max 6 bullets, 6 words each 4. **Visual First**: Suggest images/diagrams 5. **Strong Opening/Closing**: Hook and call-to-action ## Resources - [Marp](https://marp.app/) - Markdown presentations - [Slidev](https://sli.dev/) - Vue-powered slides - [reveal.js](https://revealjs.com/) - HTML presentations --- Source attribution: kbarbel640-del Original project: https://github.com/kbarbel640-del/skills/blob/e7e336ac628c3e3bd771aff1aaa469c93778f94a/skills/lijie420461340/ai-slides/SKILL.md License: MIT License information: https://opensource.org/license/mit Original upstream instructions; downloaded from Mega AI Hub. ## Upstream license notice MIT License Copyright (c) 2026 clawdbot Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # Mega AI Hub resource metadata Creator / publisher: kbarbel640-del Original project: https://github.com/kbarbel640-del/skills/blob/e7e336ac628c3e3bd771aff1aaa469c93778f94a/skills/lijie420461340/ai-slides/SKILL.md Attribution basis: Source repository record Fields of work: Marketing Roles: Content Marketer, Growth Marketer Specialties: Specialty not specified Tools: Marp Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: 3c101bcdd4cf2ce14e8fb8dcb5422522c031282ca038e5306037134978d169c0