Workflow From Chats

作者 cursorccb5507cec15无许可证10K 个星标收录于 2026年10月8日更新于 2026年10月8日仓库今天更新

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 生成的概览

从近期 Cursor 聊天记录中提炼持久的工作偏好,并转化为技能、规则或工作流文档。

功能
该技能分析近期聊天记录(默认最近 7 天),推断可复用的工作偏好,而不是总结对话内容。它会梳理记录清单,扫描明确偏好与纠正,提取带置信度评级的偏好要素,并按工作流形态聚类。随后推荐产物类型——新技能、技能修改、规则、工作流文档或不产出——并只起草可复用的指导内容。输出为简明综述,涵盖目标工作流、证据语料、偏好画像、采纳/考虑/舍弃项以及建议产物。
适用场景
当被要求了解用户偏好、从过往聊天中挖掘反馈、个性化工作流,或生成针对个人或团队的智能体指导时使用。适用于过往对话中包含可复用行为信号的重复性多步骤工作流。
运行要求
仅为说明文档,不附带脚本。需要访问近期 Cursor 聊天记录,包括父对话与子代理对话,并应避免泄露本地记录路径、密钥、客户数据、私密聊天内容或凭据。

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.

来源与署名

来源:cursor/plugins位于cursor-team-kit/skills/workflow-from-chats提交ccb5507

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