Define and implement an evaluation framework for measuring AI skill output quality across all ai-helpers plugins. The spike (child story) determines the framework and criteria; follow-up stories implement evals per plugin.
Scope:
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Research and select an eval framework
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Coordinate with UXD on their evals research to date
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Define "good output" criteria per skill
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Implement eval test cases for all skills across all plugins (react, migration, design-to-code, code-review, pf-workshop)
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Evals should be runnable locally and in CI
Jira Issue: PF-4230
Define and implement an evaluation framework for measuring AI skill output quality across all ai-helpers plugins. The spike (child story) determines the framework and criteria; follow-up stories implement evals per plugin.
Scope:
Research and select an eval framework
Coordinate with UXD on their evals research to date
Define "good output" criteria per skill
Implement eval test cases for all skills across all plugins (react, migration, design-to-code, code-review, pf-workshop)
Evals should be runnable locally and in CI
Jira Issue: PF-4230