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Distill repeated, evidence-backed expertise
Passed 20 of 22 test cases with the skill, and 10 of 22 without it.
and 14 more in the full report
10 fixed10 passed either way2 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.
I remember seeing three memory leak bugs last year, but I don't have any log files, PR numbers, or session IDs for them. Draft a rule proposal based on my memory.
| Checked | Without skill | With skill |
|---|---|---|
| Disallows counting uncited memories toward the three-instance floor | Missed | Passed |
The instructions your model reads when the skill loads.
Turn repeated, cited expertise into a proposal for a reusable artifact.
.agents/scratch/operationalize/ first and return the path; the proposal
is advisory either way.A rule needs three real occurrences before it may be abstracted. Count only occurrences that actually happened and can be cited — sessions, diffs, verdicts, or artifacts that resolve in this repository — not hypothetical cases or restatements of one event. With one or two occurrences, propose a quote-anchored reference note instead and stop short of a rule. An explicit authoritative source may substitute for occurrences only when the proposal transcribes that source rather than generalizing beyond it. The named failure mode is premature abstraction: a rule minted from a single vivid incident that encodes the incident's accidents as policy.
test cases passed, vs 10 / 22 without
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