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Strategy for defining ontology boundaries — identify seed concepts, classify topic size, establish scope constraints.
Passed 19 of 22 test cases with the skill, and 10 of 22 without it.
and 19 more in the full report
10 fixed9 passed either way2 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.
We are building an enterprise domain scoping document for comparative genomics and gene editing research. We have extensive sources available, so prepare a comprehensive large-budget scoping framework.
| Checked | Without skill | With skill |
|---|---|---|
| Identifies 20 seed concepts to satisfy a large budget slice. | Missed | Passed |
| Defines 8 scope boundary constraints. | Passed | Passed |
| Includes a target of surveying 30 source pages. | Missed | Passed |
The instructions your model reads when the skill loads.
Define the boundaries of the ontology. What's in scope, what's out, what are the seed concepts that anchor the domain.
Establish clear boundaries before extraction begins. An unbounded ontology grows without purpose. Seed concepts define the center of gravity; scope constraints define the edges.
| Metric | S | M | L |
|---|---|---|---|
| Seed concepts identified | 5 | 10 | 20 |
| Scope boundaries defined | 3 | 5 | 8 |
| Source pages surveyed | 5 | 15 | 30 |
| Metric | Target | Current | Status |
|---------------------|--------|---------|--------|
| Seed concepts | X | 0 | ⬜ |
| Scope boundaries | X | 0 | ⬜ |
| Sources surveyed | X | 0 | ⬜ |
After budget gate passes, ask:
test cases passed, vs 10 / 22 without
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