| name | co-scientist-advanced-visualization |
| description | Advanced scientific visualization skill. Multi-panel figures, 3D plots, interactive dashboards, heatmaps, volcano plots, Manhattan plots, and publication-quality figure generation.
Use when working with multi-panel figures, 3d plots, interactive dashboards.
|
Advanced scientific visualization
Advanced scientific visualization skill. Multi-panel figures, 3D plots, interactive dashboards, heatmaps, volcano plots, Manhattan plots, and publication-quality figure generation.
Use This Skill When
- Multi-panel figures.
- 3D plots.
- Interactive dashboards.
- Heatmaps.
- Volcano plots.
Required Inputs
- Research objective, decision target, or hypothesis.
- Available data, source constraints, and domain assumptions.
- Required outputs, success metrics, and deadline or reproducibility constraints.
Workflow
- Confirm scope, assumptions, and the exact artifact set to save.
- Apply the narrowest domain method that answers the request with defensible evidence.
- Save code, tables, figures, and intermediate outputs to files instead of chat-only output.
- State limitations, uncertainty, and any validation or sensitivity checks performed.
- Append skill selection, handoff I/O, and file writes to
logs/process-log.jsonl.
Deliverables
report.md: concise method, results, interpretation, and file inventory in the user's language.
results/: structured outputs, metrics, model artifacts, or extracted findings.
figures/: English-only charts, diagrams, or panels when visual output is needed.
data/: processed or derived datasets when transformation occurs.
Quality Gates
If any gate fails: identify the specific failing check, fix the issue, and re-validate before proceeding.
Gotchas
- All figure text (axis labels, legends, annotations) must be in English for journal compatibility
- Use colorblind-friendly palettes (viridis, cividis). Avoid red-green distinctions as sole differentiator
- Saved figures must use vector formats (SVG, PDF) for publication. Raster (PNG) at 300+ DPI minimum
Validation Loop
- Execute analysis and generate outputs
- Check:
- Method selection matches the research question and stated assumptions
- All outputs are saved to files (no chat-only results)
- Limitations and uncertainty are explicitly stated
logs/process-log.jsonl is updated with execution trace
- If any check fails:
- Identify the failing gate
- Fix the specific issue
- Re-run validation
- Proceed only after all gates pass