agent-device-evidence
Records iOS/Android native MP4 evidence for test/repro flows extracted from an Expensify GitHub PR or issue. Use when the user asks to "record the flow for PR
Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Records iOS/Android native MP4 evidence for test/repro flows extracted from an Expensify GitHub PR or issue. Use when the user asks to "record the flow for PR
Use when measuring a Sentry performance span locally with an agent-device replay flow on iOS simulator or Android emulator.
Test the Expensify App using Playwright browser automation. Use when user requests browser testing, after making frontend changes, or when debugging UI issues
Reproduce, investigate, plan fixes for, and fix sbt GitHub issues. Use when the user asks to reproduce an issue such as "reproduce issue ISSUE_URL", fix an issue, investigate an sbt issue, or come up with a plan for an sbt issue fix.
Triage test failures in an Azure DevOps pipeline run for Fluid Framework. Use when the user shares an ADO build/pipeline URL or build ID and wants failures analyzed, when they ask "why did this pipeline fail", "summarize the test failures", "is this test flaky or a real bug", "compare these runs", or wants bugs filed for genuine failures. Covers the Real Service End to End Tests pipeline as the worked example but applies to any FF test pipeline.
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes - four-phase framework (root cause investigation, pattern analysis, hypothesis testing, implementation) that ensures understanding before attempting solutions
Add stable `data-testid` attributes by default for new or refactored UI components. Use when implementing React/TSX views, shadcn/antd-style components, dropdown/menu configs, or interactive UI flows that need reliable selectors for unit/E2E tests.
Deep adversarial specification review using the 8-lens review constitution. Evaluates design documents, plans, and specs for ambiguity, completeness, feasibility, security, and MockServer-specific concerns. Loaded by review-cheap and review-final agents.