Close the gap between a correction and it happening again.

“I keep correcting the same thing in sessions. How do I make the correction stick?”

Scans a session for corrections, approvals, and validated patterns, then proposes exact edits to your skills and docs. Nothing applied until you approve.

RUN THE OPERATOR SYSTEMADVANCED✓ APPROVED 4/4
EXAMPLE PROMPTS
>Scan this session for corrections and approvals and propose edits to my skills
>What patterns showed up more than once that should become rules?
>Show me exact edits to the playbook, and apply nothing until I approve
ABOUT THIS SKILL

What this skill does

Reads back over a session and turns feedback into durable improvement. It finds where you corrected the work, where you approved it, and where a pattern proved itself more than once, then proposes exact edits to the skills, playbooks, or docs that produced the work. A correction you make twice is a rule you never wrote down. This writes it down, and shows it to you before anything changes.

Inputs

  • Works today with: the session, the corrections and approvals in it, or a transcript you paste. It proposes the updates from that.
  • More powerful connected to a repo: it finds the actual skill or doc file the update belongs in and drafts the diff.
  • Sharper with a notes or wiki tool: it can point proposed edits at the living playbook, not a copy.
  • Sharper with a decision log: it links each accepted change to the decision that justified it.

How it works

  1. 1
    Session scan

    Walk the session for three signals: corrections (you told it to do something differently), approvals (you confirmed something was right), and patterns (the same choice held up more than once). Everything downstream is anchored to a real moment in the session, quoted, not inferred.

  2. 2
    High-confidence corrections

    An explicit correction is high-confidence. You said "no, do it this way." That becomes a proposed edit stated plainly, with the before, the after, and the exact spot it changes. These are the sure things, and they are listed first.

  3. 3
    Medium-confidence patterns

    A pattern that repeated but was never confirmed is medium-confidence. It is proposed as a question, "you did X twice, should this be the default?", not asserted as a rule. Medium items never get promoted to high on their own.

  4. 4
    Proposed edits, file by file

    Each accepted signal maps to one target and one concrete change. It shows what the doc says now and what it would say. If a repo is connected, it drafts the diff. If not, it hands you the exact text to paste.

  5. 5
    The approval gate

    Nothing is written. Every proposed edit is presented for a yes or no, one at a time. You can accept the corrections and defer the patterns, or the reverse. The loop closes only on what you approve.

Output format

CLOSED LOOP · onboarding-automation session · 3 signals found

HIGH CONFIDENCE (explicit corrections)
  1. You corrected: "route by company size, not persona."
     Target: the routing playbook, step 2.
     Now:  "Assign owner by persona match."
     To:   "Assign owner by company size band."
     [ ] Apply   [ ] Skip

MEDIUM CONFIDENCE (patterns, unconfirmed)
  2. You batched the job nightly twice this week without being asked.
     Should "nightly, not real-time" become the default in the SOP?
     [ ] Make it a rule   [ ] Leave as a one-off   [ ] Ask me later

DO THIS FIRST
  Apply #1. It is an explicit correction and it changes live routing.

(nothing above is written until you choose)

Tips

  • Nothing is written, committed, or deleted without your explicit approval, per edit. AUTO_APPLY is off and stays off.
  • Every proposed update quotes the moment in the session that justifies it. No update without evidence.
  • High-confidence and medium-confidence are never blended. A guess is labelled a guess.
  • A pattern is never silently promoted to a rule. It stays a question until you answer it.
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