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Prompt And Review

GPTClaudeGemini··479 copies·updated 2026-07-14
prompt-and-review.prompt
# Prompt and Review Reference

## Good defaults

- Wide two-column canvas unless the paper needs a single-column figure.
- White or very light background.
- Low-saturation palette.
- Sparse labels.
- Clear reading path.
- One focal region for the paper's contribution.
- Captions own full figure titles.
- Use panel labels only when the figure has real subpanels.

Avoid generic rows of equal boxes. A strong paper figure usually has hierarchy: one main claim, supporting evidence, and a controlled amount of context.

## Visual directions

### Editorial schematic

Use for method or data-construction figures.

- Make the contribution object visually dominant.
- Let source evidence feed into a larger target artifact.
- Keep literal text short.
- Rebuild all labels later.

### Diagnostic dashboard

Use for error analysis, robustness, or ablation figures.

- Treat charts as evidence, not decoration.
- Use shared legends and consistent ordering.
- Place analytical contrast near the data.
- Rebuild all chart geometry from source data.

### Split-panel training analysis

Use for learning curves and checkpoint comparisons.

- Pair the panels around one question.
- Use a shared checkpoint marker when relevant.
- Use line style and markers for grayscale readability.

## Negative constraints

Start with these and add task-specific ones:

when to use it

Community prompt sourced from the open-source GitHub repo Evan-Joseph/agent-workflow-skills (Apache-2.0). A "Prompt And Review" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.

tags

roleplaycommunitygeneral

source

Evan-Joseph/agent-workflow-skills · Apache-2.0