PPT Agent Skills: A Multi-Agent Workflow Framework for Generating Professional Presentations with a Single Sentence

Against the backdrop of AI permeating office scenarios, presentation creation remains time-consuming and labor-intensive. Existing AI tools have limitations, while the ppt-agent-skills project uses a state machine-driven multi-agent architecture to automate the generation of directly editable professional PPTX files from a single sentence prompt, addressing the pain points of traditional creation.

Presentation creation involves multiple dimensions such as content organization, visual design, and format standardization. Existing AI solutions can only complete partial steps: either generating an outline without formatting, designing single pages but lacking overall consistency, or having limited output formats. The project aims to integrate the entire process, allowing users to obtain directly usable professional PPTX documents through simple topic descriptions.

The project adopts a multi-agent architecture, decomposing tasks into specialized subtasks; using a state machine as the core control mechanism, it divides discrete states such as requirement analysis, content planning, outline generation, single-page design, format verification, and final assembly to ensure process rigor. Workflow: User inputs a prompt → Requirement analysis extracts key information → Content planning dynamically generates structure → Outline is converted into page key points → Single-page design handles typesetting and visuals → Format verification → Assembly into a complete file.

Three major challenges are addressed at the technical level: 1. PPTX format processing: Using specialized libraries to operate the Open XML standard to ensure file compatibility; 2. Multi-agent coordination: Sharing context through message passing mechanisms, with the state machine manager scheduling agents and state transitions; 3. Content consistency: Maintaining uniform fonts, color schemes, and layouts across pages through shared design configurations and style templates.

Applicable scenarios include business meeting presentations, project reports, product promotions, educational materials, academic reports, startup pitch decks, etc. The generated PPTX files are editable, enabling human-machine collaboration: AI improves efficiency, humans control the final quality, and preparation time is significantly reduced.

With the improvement of multimodal models and code generation capabilities, future functions such as more complex interactive elements, automatic generation of data visualization charts, and adjusting content depth based on speaker notes can be realized. This project demonstrates the great potential of AI agents in the field of office automation, promoting the realization of the vision of "AI working for you".