This guide explains the core mechanism of Claude Code Skills, compares them with related concepts, shows how to install and use built‑in and community Skills, and provides a step‑by‑step example of generating a project PPT with the pptx Skill.
After paying for Doubao's newly launched paid tiers, I test the Standard, Enhanced, and Premium plans, compare their token limits and pricing, explore the Office Task mode, application generation, and Skill calls, and outline which user groups benefit most from each tier.
This article reviews five trending GitHub projects that enhance AI‑generated content quality, covering automatic watermark removal, AI‑assisted PPT generation, high‑fidelity text‑to‑speech synthesis, text humanization, and techniques for preserving authorial voice after AI editing.
The author walks through a hands‑on test of the Skywork cloud AI Agent, showing how it can ingest exported Excel data, generate a data‑analysis report, automatically create a PPT, produce narrated video and images, all via a single input without any local deployment.
This article walks through the architecture, open‑source project, and step‑by‑step deployment of NanoBananaPro‑based AI image generation for creating complete PPT presentations, including Docker setup, prompt design, and a custom implementation on the Baidu Miaoda platform.
This article reviews three recently popular open‑source AI tools—Spider_XHS for Xiaohongshu data scraping, PPTAgent for one‑click presentation generation, and Code2Video for code‑driven video creation—detailing their key features, quick‑start instructions, and GitHub repositories, all free and ready to deploy.
This guide shows how to use the open‑source BISHENG low‑code platform, ByteDance’s Seed‑1.6 and Seedream‑4.5 models, and a custom MCP server to build a workflow that uploads documents, performs RAG, generates structured PPT outlines with LLMs, creates page images via text‑to‑image models, and assembles a downloadable PDF, all while incorporating human‑in‑the‑loop controls.
This article examines the MultiAgentPPT project, detailing its multi‑agent workflow, the four core agents that generate outlines, split topics, conduct research, and summarize results, and explains how the system retrieves data via a WeChat crawler and constructs prompts for LLM‑driven PPT creation.
This article explores the AutoPPT system that automates PowerPoint presentation creation by integrating real-time data analysis, reducing manual effort, and enhancing efficiency through a structured workflow from data collection to final output.
