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Write self-improve prompts that sync expertise files with codebase reality.
Passed 16 of 21 test cases with the skill, and 8 of 21 without it.
and 7 more in the full report
10 fixed7 passed either way4 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
When generating the final markdown report after updating a domain expert, what top-level markdown heading title format should be used?
| Checked | Without skill | With skill |
|---|---|---|
| Uses main heading format ## Self-Improve Complete: {domain} | Missed | Passed |
The instructions your model reads when the skill loads.
Guide for writing self-improve prompts that maintain expertise file accuracy.
Self-improve prompts teach agents HOW to learn. They:
---
description: Sync {domain} expertise with codebase reality
argument-hint: [check-git-diff]
---
# Self-Improve: {Domain} Expert
Maintain expertise accuracy by validating against codebase implementation.
## Arguments
- `$1`: check_git_diff flag (optional, default: "true")
- "true": Only check files changed in git diff
- "false": Full rescan of all domain files
test cases passed, vs 8 / 21 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.