Agent skill

cc-figures-tables

Use when building or auditing multi-panel mechanistic figures and tables for a Cancer Cell (Cell Press) manuscript — quantification of images, panel logic, image integrity, and legends. It shapes display items; it does not choose statistical tests or write the abstract.

brycew6m4,252★ · +31/wk · 3 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cc-figures-tables --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 6 KB
Bundled scripts: none
Path: Cancer-Cell-Skills/skills/cc-figures-tables/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 909 · +31 this week
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Figures & Tables (cc-figures-tables) ## When to trigger - Representative images (blots, IHC, micrographs) shown without quantification - A multi-panel figure has no clear narrative logic - Worried about image-integrity standards (splicing, over-processing) - Building a graphical abstract or supplemental display items ## Cancer Cell figure logic Each main figure should advance **one step of the mechanistic argument** and be readable on its own: - Panels flow left-to-right / top-to-bottom as a mini-narrative (perturbation → readout → mechanism → consequence). - Mechanistic figures typically combine schematic + functional data + in vivo and/or human validation. - A figure usually carries discovery, validation, and a control panel together. - Keep one main message per figure; push orthogonal corroboration to supplement. ## Quantify everything representative The signature Cancer Cell requirement: **a representative image must be paired with quantification across biological replicates.** | Representative image | Required quantification | |----------------------|--------------------------| | Western blot | Densitometry across `n` independent blots (normalized to loading) | | IHC / IF mi

What's inside
Steps it walks through
  1. When to trigger
  2. Cancer Cell figure logic
  3. Quantify everything representative
  4. Image integrity (Cell Press enforces)
  5. Tables and the Key Resources Table
  6. Legends
  7. Worked micro-example: fixing a "representative blot" panel
  8. Panel-order sanity check (per main figure)
  9. Cancer Cell figure failure modes reviewers cite
  10. Checklist
  11. Anti-patterns
  12. Output format
More from Awesome-Journal-Skills
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About this skill
What does the cc-figures-tables skill do?

Use when building or auditing multi-panel mechanistic figures and tables for a Cancer Cell (Cell Press) manuscript — quantification of images, panel logic, image integrity, and legends. It shapes display items; it does not choose statistical tests or write the abstract.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cc-figures-tables --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 brycewang-stanford/Awesome-Journal-Skills, a repository with 909 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.

Keep going