#提示詞工程
Live, measured metrics for the hashtag #提示詞工程 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #提示詞工程
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-08-25 04:44 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-08-25 04:44 UTCNo related tags with measured usage found for #提示詞工程.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-25 04:44 UTCEverything below is measured over the latest 5 public posts (spanning ~9878 hours).
Posting hours (UTC)
Languages: Chinese (Taiwan) (5)
Avg boosts / post: 0
Top of the latest posts
🌖 系統提示詞 - Claude 平臺文件 ➤ 深入理解 Claude 用戶端系統提示詞的管理與版本演進機制 ✤ https://platform.claude.com/docs/en/release-notes/system-prompts 本文介紹了 Claude 網頁版（claude.ai）與行動應用程式如何利用系統提示詞來優化使用者體驗。Anthropic 透過在每次對話開始時動態注入包含當前日期等最新資訊的系統提示詞，並引導模型輸出特定格式（如 Markdown
🌗 與 AI 協作更像在展現領導力，而非單純編寫程式 ➤ 從「向機器下指令」到「與夥伴對話」：AI 時代的協作新思維 ✤ https://allen.bargi.org/notes/working-with-ai-feels-like-leadership/ 本文探討與人工智慧協作模式的思維轉變。作者指出，與 AI 互動不像傳統編譯器那樣具有絕對的確定性，其結果往往具有波動性，這與領導團隊的經驗高度相似。高效與 AI 協作的關鍵在於清晰表達意圖、提供豐富的背景脈絡、設定明確
🌖 GitHub - AminBlg/SimpleEnglish：讓大語言模型撰寫航空級「簡化技術英文」文檔，徹底杜絕 AI 廢話 ➤ 終結 AI 的無病呻吟：用航空級標準重塑技術文檔 ✤ https://github.com/AminBlg/SimpleEnglish 本專案推出名為「SimpleEnglish」的智慧代理技能，旨在強制大語言模型採用航太領域自 1983 年起使用的 ASD-STE100 簡化技術英文（STE）標準來撰寫文檔。此工具能有效消除冗長且語意模糊
#提示詞工程 across platforms
every network with a public tag surfaceFollow #提示詞工程 straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/提示詞工程