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workflow-from-chats

workflow-from-chats

github.com/potetoAgent workflows12951 installsUpdated 21w ago
Repository

About workflow-from-chats

workflow-from-chats is a skill for extracting reusable work preferences from recent conversation transcripts. It assesses evidence and confidence, then recommends whether to encode guidance as a skill, rule, workflow document, or no artifact.

Key features

  1. 01Inspect recent conversation transcripts
  2. 02Extract reusable preference guidance
  3. 03Rate evidence confidence
  4. 04Group preferences by workflow
  5. 05Recommend a suitable artifact

Use cases

  1. 01Turn repeated feedback into guidance
  2. 02Decide whether a preference merits a skill
  3. 03Separate durable preferences from anecdotes

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/poteto/plugins --skill workflow-from-chats

After installing, type/workflow-from-chatsin Claude Code to confirm it loaded.

Details

From the project README

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.

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