Loading skill
Install any skill in seconds. Free to start, no credit card required.
Get Started Free →yogsoth-ai/diversity-maximization
Maximize portfolio diversity and coverage using MAP-Elites, Niche coverage, Maximum dispersion, and Anti-clustering methods.
Passed 20 of 21 test cases with the skill, and 8 of 21 without it.
and 21 more in the full report
14 fixed7 passed either way0 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 13 test cases the skill fixed. Same model, same prompt, with and without the skill.
In the strategy YAML output standard for a server portfolio assessment, what are the allowed enum values for the method_used field?
| Checked | Without skill | With skill |
|---|---|---|
| The response lists MAP-Elites as an allowed method_used option. | Missed | Passed |
| The response lists niche-coverage as an allowed method_used option. | Missed | Passed |
| The response lists max-dispersion as an allowed method_used option. | Missed | Passed |
The instructions your model reads when the skill loads.
Select a portfolio that maximizes coverage across the solution space, avoiding redundancy and ensuring representation of distinct approaches, domains, or capabilities.
| Dimension | Target |
|---|---|
| Candidates evaluated | 8-20 |
| Niches defined | 4-10 |
| Diversity dimensions | 2-5 |
| Coverage threshold | >=80% of defined niches |
| Field | Type | Description |
|---|---|---|
| candidates | list | All candidates with feature vectors |
| niches | list | Defined niches or capability areas |
| coverage_map | matrix | Which candidates cover which niches |
| diversity_score | number | Aggregate diversity metric |
| gaps | list | Uncovered or under-covered niches |
| Tactic | When |
|---|---|
| niche-coverage-analysis | Need to map and score coverage systematically |
| pareto-frontier-construction | Trading off diversity against cost or value |
test cases passed, vs 8 / 21 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.