它會執行查詢、整理答案結構,並產出帶有樣式的 HTML 頁面,引用直接內嵌為連結,隨時可上架或寄送。一次就能把研究問題變成可分享、好閱讀的頁面,不必再手動重新排版。
運作方式
Used at step 01 to kick off the pipeline.
Write
Used at step 01 to kick off the pipeline.
WebFetch
Used at step 01 to kick off the pipeline.
WebSearch
Used at step 01 to kick off the pipeline.
將內容結構化為標題、章節與參考資料列表。
pending
渲染成排版整潔的 HTML 頁面,並將引用來源以內嵌連結呈現。
pending
將頁面發布或儲存至主機/儲存桶,並回傳 URL。
pending
輸出範例
json
// Sample output
// (generated when the pipeline finishes)
Convert the research answer into a self-contained HTML page with semantic headings, inline citation links, and a reference list; return valid standalone HTML.
Unlock the rest
The full agent definition, install snippet, and starter task are gated for community members.
Members get the full `.md` agent file, the npm / pnpm install one-liners, a starter prompt that we've tuned against real runs, and the open-source repo when this automation ships there. One email, magic link, done.