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Capture a reusable learning from completed work so future similar work is easier.
Passed 9 of 17 test cases with the skill, and 6 of 17 without it.
and 1 more in the full report
4 fixed7 passed either way10 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 4 test cases the skill fixed. Same model, same prompt, with and without the skill.
Format a learning note entry header for a lesson titled 'CSS Grid Alignment' learned on 2025-03-15.
| Checked | Without skill | With skill |
|---|---|---|
| Formats header as ## CSS Grid Alignment — 2025-03-15 | Missed | Passed |
The instructions your model reads when the skill loads.
Capture what you learned from completing work. This is the "compound" step—making future similar work easier.
$WORK_COMPLETED: What did you just complete? (project milestone, tricky problem, meeting, workflow improvement, etc.)
Ask the user (or extract from recent work context):
What was the situation?
What approach worked?
What would you do differently?
What's reusable?
Store in: 06-Resources/Learnings/[Category]_Learnings.md
Categories:
Working_Preferences - How you like to work, communication style, tool preferencesMistake_Patterns - Common errors to avoid, with triggers and correctionsCreate new category files as needed for domain-specific learnings.
test cases passed, vs 6 / 17 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.