oncokb-database-review
Review changed database access for N+1 queries, SQL injection risks, deterministic pagination ordering, and related data integrity/performance concerns.
Your agent can do more. Find the skill that makes it happen.
Find your next superpower If you are an agent, refer to our llms.txt for full access.Review changed database access for N+1 queries, SQL injection risks, deterministic pagination ordering, and related data integrity/performance concerns.
Build and review Datastar-based HTML interactions using correct data- attributes, modifiers, and expression patterns.
Review Datastar code for Tao-aligned architecture, correct attributes/actions usage, and maintainable server-driven UI patterns.
Manage OncoKB GitHub issues end-to-end.
Guide an interactive human PR review by summarizing changes and linked issues, checking reviewer understanding with a quiz, and posting reviewer-approved PR comments.
Review application logging for correct TRACE/DEBUG/INFO/WARN/ERROR/FATAL usage, mandatory level labels, and complete error-event coverage.
Create or update a GitHub pull request with clear context, correct metadata, and a shareable URL.
Decide when to add tests and how to design them; require user-provided test cases before implementing tests.
Verify whether pull request review comments are addressed, then guide the PR author through code fixes or prefixed replies for unresolved comments.
Guides marketing strategy across the full customer journey, from initial awareness to advocacy. Covers target markets, unique selling propositions, the PVP Index, acquisition channels, lead nurturing, and customer lifetime value.
Provides a Microsoft OneDrive integration for account management and interaction with OneDrive data.
Attaches judges to config variations for automatic LLM-as-a-judge evaluation. Covers custom judges, sampling rates, and quality score monitoring.
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