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Scores backlog items with RICE/WSJF/Kano and files GitHub issues for top candidates.
Passed 13 of 18 test cases with the skill, and 6 of 18 without it.
and 13 more in the full report
10 fixed6 passed either way5 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
This benchmark measured an earlier version of the skill.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
What exact command flag is used with the feature review CLI tool to execute only Phase 1 discovery and generate the existing capabilities inventory table?
| Checked | Without skill | With skill |
|---|---|---|
| Specifies the --inventory flag for running feature discovery. | Missed | Passed |
The instructions your model reads when the skill loads.
Run make test-feature-review to verify scoring logic after changes.
Review implemented features and suggest new ones using evidence-based prioritization. Create GitHub issues for accepted suggestions.
Feature decisions rely on data. Every feature involves tradeoffs that require evaluation. This skill uses hybrid RICE+WSJF scoring with Kano classification to prioritize work and generates actionable GitHub issues for accepted suggestions.
scope-guard).Discover and categorize existing features:
/feature-review --inventory
Evaluate features against the prioritization framework:
/feature-review
test cases passed, vs 6 / 18 without
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