cancer-research-figure-guide
Cancer Research (AACR) figures: resolution (300-1200 DPI), formats (EPS/TIFF/AI), hierarchical panel labels (Ai, Aii, Bi), figure/table limits, legend requirements with replicate counts.
npx skills add BioTender-max/awesome-bio-agent-skills --skill cancer-research-figure-guide --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Cancer Research (AACR) Figure Preparation Guide ## Overview This guide provides the complete specifications for preparing figures for submission to **Cancer Research** and other AACR (American Association for Cancer Research) journals. Cancer Research has a distinctive **hierarchical panel labeling system** (Ai, Aii, Bi, Bii) and strict limits on the total number of display items. **Official reference**: https://aacrjournals.org/pages/article-style-and-format --- ## Resolution Requirements | Image Type | Minimum Resolution | |---|---| | Line art | **1,200 DPI** | | Halftone / color images | **300 DPI** | | Combination artwork | **600-900 DPI** | ```python from PIL import Image def check_cancer_res_resolution(image_path, image_type='halftone'): """Check if image meets Cancer Research resolution requirements. Args: image_type: 'lineart' (1200), 'halftone' (300), or 'combination' (600) """ min_dpi = {'lineart': 1200, 'halftone': 300, 'combination': 600} required = min_dpi.get(image_type, 300) img = Image.open(image_path) dpi = img.info.get('dpi', (72, 72)) print(f"Type: {image_type} | Required: {required} DPI | Actual: {dpi[0]} DPI") passed = dpi[0] >= required print("PASS" if passe
- Overview
- Resolution Requirements
- File Format
- Figure Size and Dimensions
- Display Item Limits
- Color Mode
- Font Requirements
- Labeling Conventions
- Hierarchical Panel Label System (AACR-Specific)
- Labeling Rules
- Legend Requirements
- Example Usage
- Image Integrity and Manipulation Policy
- Python Quick Start: Full Validation
What does the cancer-research-figure-guide skill do?
Cancer Research (AACR) figures: resolution (300-1200 DPI), formats (EPS/TIFF/AI), hierarchical panel labels (Ai, Aii, Bi), figure/table limits, legend requirements with replicate counts.
How do I install it?
Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill cancer-research-figure-guide --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From BioTender-max/awesome-bio-agent-skills, a repository with 135 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.