Workflow From Chats

作者 cursorccb5507cec15無授權條款10K 個星標收錄於 2026年10月8日更新於 2026年10月8日儲存庫今天更新

Extract durable working preferences from recent Cursor chats and convert them into skills, rules, or workflow docs. Use when asked to learn preferences, mine feedback, personalize workflows, or generate team/person-specific agent guidance.

AI 產生的概覽

從近期 Cursor 聊天紀錄中萃取出長期適用的工作偏好,並轉換成技能、規則或工作流程文件。

功能
此技能會分析近期聊天紀錄(預設為最近 7 天),推斷可重複使用的工作偏好,而不是摘要對話內容。它會建立紀錄清單,掃描明確偏好與修正,擷取附帶信心評級的偏好要素,並依工作流程形態分群。接著建議產出類型——新技能、技能修改、規則、工作流程文件或不產出——並只草擬可重複使用的指引。輸出為精簡綜述,涵蓋目標工作流程、證據語料、偏好輪廓、採納/考慮/捨棄項目以及建議產出。
適用情境
當被要求了解使用者偏好、從過往聊天中挖掘回饋、個人化工作流程,或產生針對個人或團隊的代理指引時使用。適用於過往對話中含有可重複使用行為訊號的重複性多步驟工作流程。
執行需求
僅為指示文件,未附帶指令碼。需要存取近期 Cursor 聊天紀錄,包括父對話與子代理對話,並應避免洩露本機紀錄路徑、機密、客戶資料、私密聊天內容或憑證。

Workflow From Chats

Infer durable working preferences from recent chats. Do not summarize chats; extract reusable workflow guidance.

Scope

  • Default to the last 7 days unless the user asks for a different window.
  • Read parent transcripts and relevant subagent transcripts. Use subagent content as evidence, but cite only parent conversations.
  • Do not expose local transcript paths, secrets, customer data, private chat content, or credentials.

Workflow

  1. State the target workflow or preference surface in one paragraph.
  2. Build an internal transcript inventory: title/topic, parent conversation ID, approximate date, completion state, relevant subagents, and why it may contain preference evidence.
  3. Scan for explicit preferences, corrections, and workflow markers such as "I prefer", "always", "never", "not what I asked", "stop", "review", "PR", "CI", "logs", and "skill".
  4. Extract preference atoms: trigger, workflow step, decision rule, quality bar, stop condition, evidence, and confidence.
  5. Rate confidence as strong, medium, weak, or contradicted.
  6. Cluster by workflow shape rather than transcript: shipping, review, simplification, debugging, capture, communication, delegation, or validation.
  7. Choose the artifact: new skill, skill edit, rule, workflow doc, or no artifact.
  8. Draft only the reusable guidance. Filter anecdotes that will not help future tasks.

Confidence

  • Strong: explicit user preference, workflow-changing correction, repeated parent-chat pattern, or direct request to encode behavior.
  • Medium: accepted workflow, repeated tool/model/validation preference, or subagent consensus that the parent used successfully.
  • Weak: agent-chosen behavior with no user feedback, one ambiguous transcript, or a likely task-specific correction.
  • Contradicted: evidence points in incompatible directions; ask the user before writing files.

Artifact Choice

  • Skill: recurring multi-step workflow with clear triggers.
  • Rule: general behavior that should apply broadly.
  • Workflow doc: useful context that is not reliably triggerable.
  • No artifact: situational, stale, or low-confidence observation.

Output

Return a concise synthesis first:

  • Target workflow.
  • Evidence corpus with parent conversation citations only.
  • Preference profile.
  • Adopt, consider, dismissed.
  • Proposed artifacts.
  • Open questions only if they block writing.

來源與署名

來源:cursor/plugins位於cursor-team-kit/skills/workflow-from-chats提交ccb5507

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