Loading skill
Install any skill in seconds. Free to start, no credit card required.
Get Started Free →yogsoth-ai/gap-driven-generation
Generate solutions targeting specific coverage gaps — detect gaps, generate failure-driven solutions, and design factor-level experiments.
Passed 19 of 22 test cases with the skill, and 4 of 22 without it.
and 19 more in the full report
17 fixed2 passed either way1 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 17 test cases the skill fixed. Same model, same prompt, with and without the skill.
Our transaction monitoring pipeline misses novel micro-transaction laundering techniques. Identify missing detection coverage, create specific detection rule mitigations for each gap, and build a factorial test grid across transaction volume, speed, and location factors.
| Checked | Without skill | With skill |
|---|---|---|
| Ranks all identified fraud coverage gaps based on impact and feasibility | Missed | Passed |
| Generates at least one targeted detection rule mitigation for every identified gap | Missed | Passed |
| Outputs a factorial design matrix mapping out combination levels of the identified factors | Passed | Passed |
The instructions your model reads when the skill loads.
Detect coverage gaps in the solution space, then generate targeted solutions using failure analysis and factorial design.
Run coverage-gap-detection SOP to identify uncovered regions in the solution space. Output: gap list with priority ranking based on impact and feasibility.
Run failure-driven-generation SOP to generate solutions that specifically target identified failure modes or gaps. Output: one or more targeted solutions per gap.
Run factor-level-design SOP to identify key factors in the gap space, define levels, and design an experiment matrix for systematic exploration. Output: factorial design ready for implementation.
| Metric | Floor |
|---|---|
| Coverage gaps identified | ≥3 |
| Gaps with priority ranking | 100% |
| Solutions generated per gap | ≥1 |
| Total targeted solutions | ≥3 |
| Factor-level matrix produced | yes |
| SOP | Role |
|---|---|
| coverage-gap-detection | Stage 1 — detect uncovered regions |
| failure-driven-generation | Stage 2 — generate targeted solutions |
| factor-level-design | Stage 3 — factorial experiment design |
test cases passed, vs 4 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.