| name | workflow-from-chats |
| description | 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. |
| metadata | {"category":"user-invoked","version":"1.0.0","tags":"cursor-import, cursor-team-kit"} |
| disable-model-invocation | true |
Default output: return only the result, blockers, and required evidence. Omit preambles, process narration, repeated context, confidence scores, and follow-up offers. Use at most five bullets unless a required artifact or schema needs more.
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
- State the target workflow or preference surface in one paragraph.
- Build an internal transcript inventory: title/topic, parent conversation ID, approximate date, completion state, relevant subagents, and why it may contain preference evidence.
- 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".
- Extract preference atoms: trigger, workflow step, decision rule, quality bar, stop condition, evidence, and confidence.
- Rate confidence as strong, medium, weak, or contradicted.
- Cluster by workflow shape rather than transcript: shipping, review, simplification, debugging, capture, communication, delegation, or validation.
- Choose the artifact: new skill, skill edit, rule, workflow doc, or no artifact.
- 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.
