AI Skills for QA / Test Engineer
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Browse AI Skills for QA / Test Engineer
openclaw / control-ui-e2e
Facilitates end-to-end testing of the OpenClaw Control UI using Vitest and Playwright for reliable UI validation and visual proof.
openclaw / openclaw-testing
Facilitates efficient testing and debugging of OpenClaw tests, CI checks, and Docker E2E lanes to ensure reliable software releases.
openclaw / openclaw-pr-maintainer
Facilitates OpenClaw GitHub issue and PR management, enabling efficient review, triage, and assignment for maintainers.
openclaw / openclaw-test-heap-leaks
Facilitates memory growth investigations in OpenClaw tests, helping identify and fix heap leaks effectively.
openclaw / autoreview
Facilitates automated code reviews using Codex, ensuring quality and security in software development processes.
openclaw / openclaw-test-performance
Optimizes OpenClaw test performance by benchmarking and diagnosing runtime issues, ensuring efficient plugin execution and coverage.
openclaw / openclaw-docker-e2e-authoring
Facilitates the authoring of Docker E2E tests and live provider lanes in OpenClaw, ensuring robust testing and verification processes.
openclaw / openclaw-landable-bug-sweep
Automates the process of identifying and fixing small OpenClaw bugs, ensuring high-quality PRs are ready for landing.
openclaw / openclaw-parallels-smoke
Facilitates the execution and debugging of OpenClaw Parallels installations and smoke tests for efficient workflow management.
openclaw / openclaw-qa-testing
Facilitates QA testing for OpenClaw scenarios, enabling users to run, debug, and extend testing workflows effectively.
openclaw / openclaw-small-bugfix-sweep
Automates the process of fixing small, high-certainty bugs in OpenClaw after thorough code reviews, ensuring quality control before commits.
openclaw / github
Facilitates GitHub operations using the gh CLI for managing issues, pull requests, and CI workflows efficiently.
openclaw / node-inspect-debugger
Facilitates debugging of Node.js applications using inspector tools, breakpoints, and performance profiling for efficient development.
openclaw / python-debugpy
Facilitates interactive debugging of Python code using pdb and debugpy for efficient error resolution and code inspection.
obra / systematic-debugging
Provides a systematic approach to debugging technical issues by emphasizing root cause investigation before proposing fixes.
obra / receiving-code-review
Guides developers on effectively receiving and verifying code review feedback to ensure technical correctness and clarity.
obra / verification-before-completion
Ensures work claims are backed by verification evidence, promoting honesty and accuracy before committing code or creating PRs.
obra / finishing-a-development-branch
Guides developers through the process of completing a development branch with structured options for merging, PR creation, or cleanup.
obra / test-driven-development
Facilitates test-driven development by ensuring tests are written before code, promoting better software quality and reliability.
obra / requesting-code-review
Facilitates code reviews to ensure quality and compliance before merging, enhancing development efficiency and collaboration.