[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-claude-design-system-prompt-distilled-skill-zh":3,"tags-claude-design-system-prompt-distilled-skill-zh":27,"related-lang-claude-design-system-prompt-distilled-skill-zh":28,"related-posts-claude-design-system-prompt-distilled-skill-zh":32,"series-tools-85c93332-ca6a-4350-8587-db930f69e53d":69},{"id":4,"title":5,"content":6,"summary":7,"source":8,"source_url":9,"author":9,"image_url":10,"keywords":11,"language":17,"translated_content":9,"views":18,"is_premium":19,"created_at":20,"updated_at":20,"cover_image":10,"published_at":20,"rewrite_status":21,"rewrite_error":9,"rewritten_from_id":9,"slug":22,"category":23,"related_article_id":24,"status":25,"google_indexed_at":26,"x_posted_at":9,"tweet_text":9,"title_rewritten_at":9,"title_original":9,"key_takeaways":9,"topic_cluster_id":9,"embedding":9,"is_canonical_seed":19},"85c93332-ca6a-4350-8587-db930f69e53d","420 行提示詞，24 小時外洩，4 天開源重寫","\u003Cp>2026 年 4 月 17 日，\u003Ca href=\"https:\u002F\u002Fwww.anthropic.com\u002Fnews\u002Fclaude-opus-4-7\" target=\"_blank\" rel=\"noopener\">Anthropic Labs\u003C\u002Fa> 推出 Claude Design，一款讓使用者與 Claude 協作製作設計、原型、簡報和單頁文檔的工具。上線當天，Figma 股價下跌 6.8% 至 $18.84，Adobe 也隨之受挫。更耐人尋味的是，在產品公開發表前三天（4 月 14 日），Anthropic 首席產品官 Mike Krieger 悄然從 Figma 董事會辭職——市場推測這是提前佈局。\u003C\u002Fp>\n\n\u003Cp>但護城河的壽命遠比預期短。在 Claude Design 發表 24 小時內，一份約 420 行的系統提示詞被網名「Pliny the Liberator」的使用者外洩。這份提示詞揭露了產品的核心架構選擇：Opus 4.7 模型、六步工作流程、反 AI 美感檢查清單，以及雙代理驗證迴圈——而所有這些都被精確編碼在純文字指令中。\u003C\u002Fp>\n\n\u003Ch2>護城河的 24 小時\u003C\u002Fh2>\n\n\u003Cp>外洩的提示詞透露的技術亮點包括：Claude 在設計任務中採用動態角色切換（設計師、動畫師、簡報製作者），根據需求決定「詢問」還是「直接行動」；使用 oklch 色彩系統而非 HSL，以保證感知均勻性；內建「一千個否定換一個肯定」的極簡美學（引自 Steve Jobs），確保每個介面元素都有存在的正當理由；以及最有趣的——兩個獨立代理的驗證迴圈，第二代理在獨立 iframe 中進行螢幕截圖、版面與 JavaScript 錯誤檢查，避免自我確認偏誤。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1777390036935-tll9.png\" alt=\"420 行提示詞，24 小時外洩，4 天開源重寫\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\n\n\u003Cp>這些設計選擇本身並無新奇之處。設計師與工程師早已知道 oklch 優於 HSL、極簡設計優於堆砌、多人審查優於自我驗證。Claude Design 的突破在於將這些原則運作化為一個統一的、由 Opus 4.7 執行的流程——而正是這個流程的完整藍圖，在 24 小時內成為公開資訊。\u003C\u002Fp>\n\n\u003Ch2>社群的 4 天反應\u003C\u002Fh2>\n\n\u003Cp>開源社群的回應速度更快。基於外洩提示詞，一位 GitHub 開發者 ConardLi 在 4 天內推出了 \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FConardLi\u002Fgarden-skills\" target=\"_blank\" rel=\"noopener\">garden-skills\u003C\u002Fa>——一套開源 MIT 授權的 Skill 集合，已獲得 1,700 顆星。與原始提示詞相比，這個開源版本進行了實質改進：引入 Markdown 設計系統聲明以加強結構化；採用「v0 半成品」示範策略，優先展示最小可行版面與假設前提而非直接輸出完整品；擴大反 AI 美感檢查清單（禁用假客戶標誌、虛構評論計數、數據堆砌）；強制執行佔位符策略（佔位符信號「需要真實素材」，而虛假圖片信號「我在敷衍」）；以及新增色彩與字型配對參考表——5 組驗證過的組合涵蓋編輯、奢侈、消費者、極簡和工藝風格。\u003C\u002Fp>\n\n\u003Cp>同時，garden-skills 也修正了原始系統提示詞的硬性限制：禁止內聯樣式物件（防止全域命名空間污染）、禁止跨 Babel 指令碼共享作用域、禁止 scrollIntoView（在 iframe 上下文中會破壞父容器滾動）。這不是複製貼上——這是經過 4 天工程實作的驗證與強化。\u003C\u002Fp>\n\n\u003Ch2>真正的護城河在哪裡\u003C\u002Fh2>\n\n\u003Cp>這個 24 小時洩露、4 天重寫的循環提出了一個尖銳的問題：當系統提示詞成為產品的唯一護城河時，護城河能持續多久？\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1777390037683-e21o.png\" alt=\"420 行提示詞，24 小時外洩，4 天開源重寫\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\n\n\u003Cp>Anthropic 從未聲稱 Claude Design 是 Opus 4.7 加上一份提示詞——它是一個整合產品：Canvas 與 iframe 沙箱、子代理驗證迴圈、Pro\u002FMax\u002FTeam 訂閱分級、與 Claude.ai 生態系統的無縫整合。真正的護城河不是 420 行的提示詞，而是模型本身（Opus 4.7）、使用者介面的整合體驗，以及內建於 Anthropic 訂閱生態的分發渠道。\u003C\u002Fp>\n\n\u003Cp>但開源社群已經證明：當核心智慧被編碼為提示詞時，它的保鮮期等於從公開到洩露的時間——通常是數小時，最多一天。之後的工作是工程化與最佳化，而這正是開源社群擅長的領域。\u003C\u002Fp>\n\n\u003Cp>這個模式在 2026 年 AI 產品世界已經成為常態。上週 OraCore 報導了 Karpathy 的 LLM Wiki Gist 在 3 週內被桌面 App 化，獲得 4,400 顆星；本週是 Claude Design 的 420 行提示詞在 4 天內成為開源 MIT Skill。週期在加速。對 Anthropic、Figma、Adobe 以及整個 AI 工具生態而言，問題已經不是「提示詞會不會外洩」，而是「我們如何從提示詞不外洩的世界過渡到提示詞一定會外洩的世界」。\u003C\u002Fp>","Claude Design 上線後 Figma 股價跌逾 7%，引發市場對 AI 設計工具的關注。一份 420 行的系統提示詞在 24 小時內被外洩，隨後在 4 天內被開源社群完整重寫成 MIT 授權的 Skill。這個壓縮的迴圈反映了 2026 年 AI 產品的新現實：當提示詞成為護城河時，護城河的保鮮期只有一天。","oracore-original",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1777390036935-tll9.png",[12,13,14,15,16],"Claude Design","Opus 4.7","AI Design Tool","System Prompt","Figma","zh",1,false,"2026-04-28T15:26:16.152906+00:00","done","claude-design-system-prompt-distilled-skill-zh","tools","d139b86c-b3ee-470f-aabb-fec9d6d46f87","published","2026-04-29T09:00:09.629+00:00",[],{"id":24,"slug":29,"title":30,"language":31},"claude-design-system-prompt-distilled-skill-en","420 Lines, 24 Hours, 4 Days: The Compression of AI Product Moats","en",[33,39,45,51,57,63],{"id":34,"slug":35,"title":36,"cover_image":37,"image_url":37,"created_at":38,"category":23},"d058a76f-6548-4135-8970-f3a97f255446","why-gemini-api-pricing-is-cheaper-than-it-looks-zh","為什麼 Gemini API 定價其實比看起來更便宜","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778869845081-j4m7.png","2026-05-15T18:30:25.797639+00:00",{"id":40,"slug":41,"title":42,"cover_image":43,"image_url":43,"created_at":44,"category":23},"68e4be16-dc38-4524-a6ea-5ebe22a6c4fb","why-vidhub-huiyuan-hutong-bushi-quan-shebei-tongyong-zh","為什麼 VidHub 會員互通不是「買一次全設備通用」","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778789450987-advz.png","2026-05-14T20:10:24.048988+00:00",{"id":46,"slug":47,"title":48,"cover_image":49,"image_url":49,"created_at":50,"category":23},"7a1e174f-746b-4e82-a0e3-b2475ab39747","why-buns-zig-to-rust-experiment-is-right-zh","為什麼 Bun 的 Zig-to-Rust 實驗是對的","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778767879127-5dna.png","2026-05-14T14:10:26.886397+00:00",{"id":52,"slug":53,"title":54,"cover_image":55,"image_url":55,"created_at":56,"category":23},"e742fc73-5a65-4db3-ad17-88c99262ceb7","why-openai-api-pricing-is-product-strategy-zh","為什麼 OpenAI API 定價是產品策略，不是註腳","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778749859485-chvz.png","2026-05-14T09:10:26.003818+00:00",{"id":58,"slug":59,"title":60,"cover_image":61,"image_url":61,"created_at":62,"category":23},"c757c5d8-eda9-45dc-9020-4b002f4d6237","why-claude-code-prompt-design-beats-ide-copilots-zh","為什麼 Claude Code 的提示設計贏過 IDE Copilot","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778742645084-dao9.png","2026-05-14T07:10:29.371901+00:00",{"id":64,"slug":65,"title":66,"cover_image":67,"image_url":67,"created_at":68,"category":23},"4adef3ab-9f07-4970-91cf-77b8b581b348","why-databricks-model-serving-is-right-default-zh","為什麼 Databricks Model Serving 是生產推論的正確預設","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778692245329-a2wt.png","2026-05-13T17:10:30.659153+00:00",[70,75,80,85,90,95,100,105,110,115],{"id":71,"slug":72,"title":73,"created_at":74},"de769291-4574-4c46-a76d-772bd99e6ec9","googles-biggest-gemini-launches-in-2026-zh","Google 2026 最大 Gemini 盤點","2026-03-26T07:26:39.21072+00:00",{"id":76,"slug":77,"title":78,"created_at":79},"855cd52f-6fab-46cc-a7c1-42195e8a0de4","surepath-real-time-mcp-policy-controls-zh","SurePath 推出即時 MCP 政策控管","2026-03-26T07:57:40.77233+00:00",{"id":81,"slug":82,"title":83,"created_at":84},"9b19ab54-edef-4dbd-9ce4-a51e4bae4ebb","mcp-in-2026-the-ai-tool-layer-teams-use-zh","2026 年 MCP：團隊真的在用的 AI 工具層","2026-03-26T08:01:46.589694+00:00",{"id":86,"slug":87,"title":88,"created_at":89},"af9c46c3-7a28-410b-9f04-32b3de30a68c","prompting-in-2026-what-actually-works-zh","2026 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