Check that an actual app, API, or command-line tool works by exercising its real entry point with realistic inputs. Collect observable evidence such as outputs, logs, exit codes, or screenshots, and report remaining uncertainty.
Exercise the real app/API/CLI and collect observable evidence; tests alone do not count as end-to-end verification.
Review the instructions the agent will receive before you install.
Use when the user wants proof the real surface works, not only unit tests.
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Split a large goal into clearly bounded tasks that can run in parallel. Coordinate existing agent and worktree tools, then combine and verify the results. The skill starts only when explicitly requested.
Generate independent options for design, implementation, explanations, or debugging, then compare them using one shared rubric. Code candidates use separate working copies and undergo independent verification before a winner is presented for review.
Check Codewhale release readiness through ordered tests, builds, version checks, and manual terminal checks. Record command results and observed behavior, including responsiveness, route isolation, and follow-up input handling, while explicitly identifying any skipped checks.
Operate desktop apps and isolated browsers on registered computers by inspecting interface controls, entering information, and checking results. The skill also covers screenshots and recording, with separate routing for the user's signed-in Chrome through Chromewhale.
Check a local Codewhale checkout before contributing: inspect branch and sync status, build the CLI, and run the repository’s CI checks. Present recent commits and changelog entries from local files, with clear status for each step.
Builds and installs Codewhale with a source revision identifier, then verifies the installed version in a fresh shell. It guides hands-on runtime checks for interface behavior, routing, approvals, and other changes that automated tests may miss.