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Choose and produce an appropriate chart/dashboard/visual explanation from data, with legible encodings and source/assumption notes.
Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.
Read-only correctness review with actionable findings first, tight file/line evidence, severity, and a concise residual-risk summary.
Create or improve codewhale skills. Use when the user wants a new skill, wants to update an existing skill, or needs guidance on when a skill should be a skill versus MCP, hooks, tools, or a plugin scaffold.
Exercise the real app/API/CLI and collect observable evidence; tests alone do not count as end-to-end verification.
Generate a small set of independent candidate solutions in worktrees, judge them against one explicit rubric, and apply the winner only after PASS verification.
Break a large, parallelizable goal into bounded work units, coordinate existing agent/worktree machinery, integrate, and verify. Explicit-only.
Reproduce, minimize, localize, identify root cause, and distinguish diagnosis from an authorized fix. Prefer root-cause over symptom patches.
Basé sur la classification professionnelle SOC
| name | dataviz |
| description | Choose and produce an appropriate chart/dashboard/visual explanation from data, with legible encodings and source/assumption notes. |
| invocation | model+user |
Use when the user needs a chart, dashboard, or visual explanation of data.
