Agent skill

fcr-figures-and-tables

Use when building tables and figures for a Field Crops Research (FCR) manuscript so exhibits are self-contained, quantitatively complete, and agronomically informative — yield and response curves, AMMI/GGE biplots, observed-vs-simulated plots, and weather-vs-phenology series. FCR exhibits must show units, error (SED/LSD), and sample structure. Designs exhibits; it does not run the analysis.

brycew6m4,252★ · +31/wk · 3 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill fcr-figures-and-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: Field-Crops-Research-Skills/skills/fcr-figures-and-tables/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 984 · +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 (fcr-figures-and-tables) Exhibits are where an agronomy reviewer checks whether the result is real and general. At FCR every exhibit must be **self-contained** and **quantitatively complete**: units, sample/replication, and a measure of **error or variability** (SE, **SED, or LSD**) belong on the exhibit itself. ## When to trigger - Designing the main results table/figure or a key descriptive exhibit - Deciding what belongs in the article vs. supplementary material - A reviewer found an exhibit unclear, mislabeled, or missing error/units - Presenting G×E, response curves, or model evaluation ## Principles 1. **Self-contained.** A reader should understand each exhibit from its caption, axis/column labels, and footnote alone. State the **crop, cultivar(s), environments (sites×seasons), N/replication, units (SI)**, and what the value is (mean? adjusted mean?). 2. **Show the error.** Yield and treatment means need **SED or LSD** (with α and df) or error bars defined in the caption — never bare means. For curves, show fitted line + CI and the data. 3. **Right exhibit for the question.** Use a **response curve** for quantitative factors (N, water, density); an **AMMI/G

What's inside
Steps it walks through
  1. When to trigger
  2. Principles
  3. Agronomy-specific exhibits
  4. Exhibit-selection table (question → exhibit → annotation)
  5. Worked exhibit vignette (illustrative)
  6. Anti-patterns
  7. Operating pass for Field Crops Research
  8. Output format
  9. Supplementary resources
More from Awesome-Journal-Skills
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About this skill
What does the fcr-figures-and-tables skill do?

Use when building tables and figures for a Field Crops Research (FCR) manuscript so exhibits are self-contained, quantitatively complete, and agronomically informative — yield and response curves, AMMI/GGE biplots, observed-vs-simulated plots, and weather-vs-phenology series. FCR exhibits must show units, error (SED/LSD), and sample structure. Designs exhibits; it does not run the analysis.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill fcr-figures-and-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 984 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