Install any skill in seconds. Free to start, no credit card required.
Get Started Free →stijnman/dspy-prompt-optimizer
Tunes prompts iteratively using reflection and success metrics.
Passed 15 of 22 test cases with the skill, and 10 of 22 without it.
and 4 more in the full report
7 fixed8 passed either way5 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.
I want to run prompt optimization on my translation prompt using 3 provided input/output pairs. After capturing the baseline prompt and examples, what step must be executed next?
| Checked | Without skill | With skill |
|---|---|---|
| Runs the baseline prompt against the examples and scores outputs against evaluation criteria. | Missed | Passed |
The instructions your model reads when the skill loads.
self-refine-loopauto-testerhyper-skill-tester| Failure | Response |
|---|---|
| No examples | Ask for 2 input/output pairs minimum. |
| Overfitting one example | Require 3+ diverse examples. |
Input: User request matching triggers above. Output: Structured result per workflow with integrations invoked as needed.
test cases passed, vs 10 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.