Install any skill in seconds. Free to start, no credit card required.
Get Started Free →borghei/opportunity-solution-tree
Opportunity Solution Tree (Teresa Torres) mapping outcomes → opportunities → solutions → assumption tests.
Passed 20 of 23 test cases with the skill, and 17 of 23 without it.
and 1 more in the full report
3 fixed17 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
This benchmark measured an earlier version of the skill.
One of 3 test cases the skill fixed. Same model, same prompt, with and without the skill.
We formatted our tree structure into `ost.json`. What command line tool and parameters should we run to validate missing outcomes, solution-disguised opportunities, or single-solution branches into markdown format?
| Checked | Without skill | With skill |
|---|---|---|
| Specifies running `python3 project-management/discovery/opportunity-solution-tree/scripts/ost_validator.py --input ost.json --format markdown`. | Missed | Passed |
The instructions your model reads when the skill loads.
Teresa Torres' framework from Continuous Discovery Habits. An OST visualizes the path from a desired outcome to the assumption tests that will validate or invalidate candidate solutions.
[Outcome]
|
+-------------+-------------+
| | |
Opportunity Opportunity Opportunity
| | |
+--+--+ +--+--+ +--+--+
| | | | | |
Solution Solution ...
|
+----+----+
| |
Assumption Assumption
Test Test
test cases passed, vs 17 / 23 without
Published skills whose descriptions closely match this one, with their headline benchmark lift.
More skills from the same source and nearby in the registry, with their headline benchmark lift.