[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-3-routes-for-ai-ppt-creation-en":3,"article-related-3-routes-for-ai-ppt-creation-en":32,"series-industry-45d86060-6dfc-44fb-b97e-a23917e724da":84},{"id":4,"slug":5,"title":6,"content":7,"summary":8,"source":9,"source_url":10,"author":11,"image_url":12,"cover_image":12,"category":13,"language":14,"translated_content":11,"related_article_id":15,"keywords":16,"key_takeaways":24,"views":28,"created_at":29,"published_at":30,"topic_cluster_id":31},"45d86060-6dfc-44fb-b97e-a23917e724da","3-routes-for-ai-ppt-creation-en","3 routes for AI PPT creation","\u003Cp data-speakable=\"summary\">This guide compares three ways to make AI-generated presentations.\u003C\u002Fp>\u003Cp>不是那种“输入标题，输出一堆丑哭的模板”的传统 AI PPT 工具。你会看到 3 条做法，外加 6 个开源 Skill 的实际用法，适合想把演示文稿交给 AI 直接生成的人。\u003C\u002Fp>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>Item\u003C\u002Fth>\u003Cth>Workflow\u003C\u002Fth>\u003Cth>Best for\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>传统 AI PPT 工具\u003C\u002Ftd>\u003Ctd>输入标题后选模板\u003C\u002Ftd>\u003Ctd>快速出草稿\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Claude Code \u002F Codex\u003C\u002Ftd>\u003Ctd>自然语言驱动本地生成\u003C\u002Ftd>\u003Ctd>定制化成稿\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>开源 Skill\u003C\u002Ftd>\u003Ctd>按任务调用专用能力\u003C\u002Ftd>\u003Ctd>可复用流程\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>1. 传统 AI PPT 工具\u003C\u002Fh2>\u003Cp>这一类工具的思路最直接：你给标题、主题和少量信息，它返回一份可编辑的幻灯片。优点是上手快，适合临时汇报、内部周会、课程作业这类“先有内容，再补形式”的场景。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1779318226238-aek1.png\" alt=\"3 routes for AI PPT creation\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>问题也很明显。很多产品会把重点放在模板堆砌上，结果是结构像样，内容空泛，视觉也容易同质化。如果你要的是“能交差”，它够用；如果你要的是“像人写的方案”，就会显得吃力。\u003C\u002Fp>\u003Cul>\u003Cli>输入：标题、受众、页数\u003C\u002Fli>\u003Cli>输出：自动排版的幻灯片初稿\u003C\u002Fli>\u003Cli>适合：快速成形，不追求深度定制\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>2. Claude Code 驱动的本地生成\u003C\u002Fh2>\u003Cp>\u003Ca href=\"https:\u002F\u002Fclaude.ai\u002Fcode\">Claude Code\u003C\u002Fa> 这条路线更像把 AI 变成你电脑里的执行助手。你直接用自然语言说明需求，比如结构、语气、页数、图表类型，它可以在本地工作流里生成完整演示文稿，而不是只给你一堆模板建议。\u003C\u002Fp>\u003Cp>这类方式的价值在于“可控”。你可以让 AI 先列大纲，再补案例，最后统一风格，整个过程更接近真实的制作流程。对需要反复修改、强调内容逻辑的人来说，比传统 PPT 生成器更顺手。\u003C\u002Fp>\u003Ccode>示例指令：请生成一份 8 页产品发布会 PPT，包含问题、方案、竞品、时间线和结尾页。\u003C\u002Fcode>\u003Ch2>3. Codex 参与的代码式工作流\u003C\u002Fh2>\u003Cp>\u003Ca href=\"https:\u002F\u002Fopenai.com\u002Fcodex\">Codex\u003C\u002Fa> 更适合把 PPT 当成一个“可编排任务”。你不只是让 AI 写文案，而是让它按步骤生成结构、素材、页面内容，甚至配合脚本把文件落到你的工作目录里。这个路线尤其适合熟悉命令行、脚本或自动化的人。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1779318221747-5cio.png\" alt=\"3 routes for AI PPT creation\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>它的好处是标准化程度高。你可以把一套提示词和文件组织方式固定下来，下次只换主题即可复用。对于咨询、销售、技术分享这类高频输出场景，这种方法能明显减少重复劳动。\u003C\u002Fp>\u003Cul>\u003Cli>先生成提纲，再生成逐页文案\u003C\u002Fli>\u003Cli>把图片、数据、备注分文件管理\u003C\u002Fli>\u003Cli>适合批量产出相似结构的演示稿\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>4. 开源 Skill 的模块化玩法\u003C\u002Fh2>\u003Cp>所谓 Skill，可以理解为一组专门任务的能力包。它不是单一工具，而是把“做封面、写摘要、整理图表、生成讲稿”拆成可调用模块。这样一来，AI 不必每次从零开始，而是按任务调用对应能力。\u003C\u002Fp>\u003Cp>这条路线最适合想搭建长期工作流的人。你可以把常用 Skill 组合起来，形成自己的 PPT 生产线。比如先用一个 Skill 做内容提炼，再用另一个 Skill 处理版式，最后交给第三个 Skill 校对语言，效率会更稳定。\u003C\u002Fp>\u003Cul>\u003Cli>内容提炼 Skill：压缩长文为要点\u003C\u002Fli>\u003Cli>版式 Skill：统一页面层级\u003C\u002Fli>\u003Cli>校对 Skill：检查语气、术语、重复表达\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>5. 6 个顶级开源 Skill 的组合思路\u003C\u002Fh2>\u003Cp>原文强调的不是“一个万能工具”，而是“多个专用 Skill 组合”。这也是开源路线真正有意思的地方：你可以按任务拆分，按需调用，最后拼出一份完整 PPT。对比单点工具，这种方式更适合复杂项目。\u003C\u002Fp>\u003Cp>如果你要从 6 个 Skill 里挑组合，建议按制作阶段来分，而不是按名气来分。前期负责找资料，中期负责组织结构，后期负责润色和导出，六个模块各司其职，整个流程会更像一个小型编辑团队。\u003C\u002Fp>\u003Cul>\u003Cli>资料收集\u003C\u002Fli>\u003Cli>结构编排\u003C\u002Fli>\u003Cli>页面生成\u003C\u002Fli>\u003Cli>视觉统一\u003C\u002Fli>\u003Cli>文案润色\u003C\u002Fli>\u003Cli>导出与检查\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>How to decide\u003C\u002Fh2>\u003Cp>如果你只想快速出一版，传统 AI PPT 工具最省事；如果你要更强的内容控制，\u003Ca href=\"\u002Ftag\u002Fclaude-code\">Claude Code\u003C\u002Fa> 这类自然语言工作流更合适；如果你经常做同类汇报，\u003Ca href=\"\u002Ftag\u002Fcodex\">Codex\u003C\u002Fa> 和开源 Skill 的组合会更耐用。\u003C\u002Fp>\u003Cp>一句话总结：临时交付选模板型工具，重内容选本地生成，重效率和复用选 Skill 化流程。\u003C\u002Fp>","3 ways to make AI slides, from prompt-first tools to open-source skills and local workflows.","zhuanlan.zhihu.com","https:\u002F\u002Fzhuanlan.zhihu.com\u002Fp\u002F2038375992914355084",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1779318226238-aek1.png","industry","en","8607e4f1-abe4-459b-bcd3-d0d9887c41e8",[17,18,19,20,21,22,23],"AI PPT","Claude Code","Codex","开源 Skill","演示文稿","自动生成PPT","工作流",[25,26,27],"传统 AI PPT 工具适合快速出草稿，但内容和视觉常偏模板化。","Claude Code 和 Codex 更适合自然语言驱动的本地生成与可复用流程。","开源 Skill 适合把 PPT 制作拆成模块，便于长期复用和批量产出。",9,"2026-05-20T23:03:22.717867+00:00","2026-05-20T23:03:22.699+00:00","d19fc184-5852-4c4d-9ec0-db0c4841ac17",{"tags":33,"relatedLang":43,"relatedPosts":47},[34,35,37,39,41],{"name":21,"slug":21},{"name":17,"slug":36},"ai-ppt",{"name":20,"slug":38},"开源-skill",{"name":18,"slug":40},"claude-code",{"name":19,"slug":42},"codex",{"id":15,"slug":44,"title":45,"language":46},"5-routes-for-ai-ppt-creation-zh","5 種 AI PPT 生成路線","zh",[48,54,60,66,72,78],{"id":49,"slug":50,"title":51,"cover_image":52,"image_url":52,"created_at":53,"category":13},"369eb75f-577c-4f91-999c-9db6db8c459e","anthropic-35b-buildout-finance-chips-en","Anthropic’s $35 billion buildout proves AI now runs on finance and ch…","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781510576502-kd33.png","2026-06-15T08:02:22.869273+00:00",{"id":55,"slug":56,"title":57,"cover_image":58,"image_url":58,"created_at":59,"category":13},"6ddaeb17-2f20-4730-922e-a35f5a3491af","openai-partner-network-enterprise-ai-access-en","OpenAI Partner Network widens enterprise AI access","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781506984641-zf53.png","2026-06-15T07:02:32.49443+00:00",{"id":61,"slug":62,"title":63,"cover_image":64,"image_url":64,"created_at":65,"category":13},"56930ca4-3142-46e2-8c5d-a837b6de8651","ai-weekly-2026-w25-en","AI Weekly: 2026-06-08 ~ 2026-06-15","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781497224790-crhb.png","2026-06-15T04:00:28.880249+00:00",{"id":67,"slug":68,"title":69,"cover_image":70,"image_url":70,"created_at":71,"category":13},"5c126c35-d2da-4116-8032-38de993c328b","anthropics-offline-move-turns-policy-into-code-en","Anthropic’s offline move turns policy into code","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781488987206-b0qc.png","2026-06-15T02:02:39.910445+00:00",{"id":73,"slug":74,"title":75,"cover_image":76,"image_url":76,"created_at":77,"category":13},"937a147a-d613-41e5-be5b-5882579e0118","mcp-server-directory-for-tool-builders-en","89.2k-star MCP server directory for tool builders","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781482674304-issi.png","2026-06-15T00:17:21.463052+00:00",{"id":79,"slug":80,"title":81,"cover_image":82,"image_url":82,"created_at":83,"category":13},"445f3464-9c90-43aa-9456-24dcbd75cf41","openai-multistate-probe-before-ipo-en","OpenAI should face the multistate probe before it goes public","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781481761227-k00l.png","2026-06-15T00:02:17.827244+00:00",[85,90,95,100,105,110,115,120,125,130],{"id":86,"slug":87,"title":88,"created_at":89},"d35a1bd9-e709-412e-a2df-392df1dc572a","ai-impact-2026-developments-market-en","AI's Impact in 2026: Key Developments and Market Shifts","2026-03-25T16:20:33.205823+00:00",{"id":91,"slug":92,"title":93,"created_at":94},"5ed27921-5fd6-492e-8c59-78393bf37710","trumps-ai-legislative-framework-en","Trump's AI Legislative Framework: What's Inside?","2026-03-25T16:22:20.005325+00:00",{"id":96,"slug":97,"title":98,"created_at":99},"e454a642-f03c-4794-b185-5f651aebbaca","nvidia-gtc-2026-key-highlights-innovations-en","NVIDIA GTC 2026: Key Highlights and Innovations","2026-03-25T16:22:47.882615+00:00",{"id":101,"slug":102,"title":103,"created_at":104},"0ebb5b16-774a-4922-945d-5f2ce1df5a6d","claude-usage-diversifies-learning-curves-en","Claude Usage Diversifies, Learning Curves Emerge","2026-03-25T16:25:50.770376+00:00",{"id":106,"slug":107,"title":108,"created_at":109},"69934e86-2fc5-4280-8223-7b917a48ace8","openclaw-ai-commoditization-concerns-en","OpenClaw's Rise Raises Concerns of AI Model Commoditization","2026-03-25T16:26:30.582047+00:00",{"id":111,"slug":112,"title":113,"created_at":114},"b4b2575b-2ac8-46b2-b90e-ab1d7c060797","google-gemini-ai-rollout-2026-en","Google's Gemini AI Rollout Extended to 2026","2026-03-25T16:28:14.808842+00:00",{"id":116,"slug":117,"title":118,"created_at":119},"6e18bc65-42ae-4ad0-b564-67d7f66b979e","meta-llama4-fabricated-results-scandal-en","Meta's Llama 4 Scandal: Fabricated AI Test Results Unveiled","2026-03-25T16:29:15.482836+00:00",{"id":121,"slug":122,"title":123,"created_at":124},"bf888e9d-08be-4f47-996c-7b24b5ab3500","accenture-mistral-ai-deployment-en","Accenture and Mistral AI Team Up for AI Deployment","2026-03-25T16:31:01.894655+00:00",{"id":126,"slug":127,"title":128,"created_at":129},"5382b536-fad2-49c6-ac85-9eb2bae49f35","mistral-ai-high-stakes-2026-en","Mistral AI: Facing High Stakes in 2026","2026-03-25T16:31:39.941974+00:00",{"id":131,"slug":132,"title":133,"created_at":134},"9da3d2d6-b669-4971-ba1d-17fdb3548ed5","cursors-meteoric-rise-pressures-en","Cursor's Meteoric Rise Faces Industry Pressures","2026-03-25T16:32:21.899217+00:00"]