Figures4papers Playbook

Use this skill to find the closest figures4papers example and convert it into a user-specific plotting script quickly.

Workflow

1. Parse user intent into chart type and domain (for example: grouped bar + benchmark comparison).
2. Run scripts/example_locator.py to shortlist candidate scripts.
3. Read references/example_index.md for folder-level context and naming patterns.
4. Choose one base script and adapt data, labels, and file outputs.
5. If style consistency is required, co-use scientific-figure-pro for final polishing.

Locator Script

Use keyword and chart filters:

python skills/figures4papers-playbook/scripts/example_locator.py --keyword bar --chart-type grouped_bar

Output includes:

• Folder and domain.
• Matching script paths.
• Recommended run commands.
• Notes about the intended figure purpose.

Selection Rules

• Prefer exact chart-type match first.
• Then prefer domain match (biomed, LLM eval, vision survey, etc.).
• If no exact match exists, choose the simplest script with nearest visual grammar.
• Keep output paths under a dedicated figures/ directory in the target project.

References

• references/example_index.md: curated index of available figure folders and scripts.

Handoff Pattern

After locating a base script, provide:

1. Selected template path.
2. What to replace (data arrays, labels, colors, limits).
3. Command to run.
4. Expected output files (.png and .pdf).