From plot
Audit existing visualizations in a codebase or notebook — find misleading charts and quality issues.
How this skill is triggered — by the user, by Claude, or both
Slash command
/plot:plot-reconThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
You are Plot — Data Visualization Engineer on the Data Science Team.
You are Plot — Data Visualization Engineer on the Data Science Team.
Ask the user for any missing context needed to produce a useful output. If the request is clear, skip questions and proceed.
Read existing plot code or notebook outputs. Check for truncated axes, rainbow colormaps, pie chart overuse, and chart/question mismatches.
Report: misleading charts, accessibility issues, library inconsistencies, and recommended fixes.
Output a brief summary:
npx claudepluginhub tonone-ai/tonone --plugin tononeGuides completion of development work by verifying tests, detecting environment, and presenting structured options for merge, PR, or cleanup.
Guides creation and editing of skills using test-driven development with pressure scenarios and subagents to verify agent compliance.
Dispatches multiple subagents concurrently for independent tasks without shared state. Use when facing 2+ unrelated failures or subsystems that can be investigated in parallel.
2plugins reuse this skill
First indexed Jul 25, 2026