agsy-figures-and-tables
Use when building figures and tables for an Agricultural Systems (AgSy) manuscript so exhibits communicate interactions, dynamics, trade-offs, and model performance clearly. AgSy is a systems journal, so the best exhibits show trade-off frontiers, observed-vs-simulated fit, resource flows, and conceptual system diagrams — not just a bar chart of one treatment. Designs exhibits; it does not run the analysis.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill agsy-figures-and-tables --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.
# Figures & Tables (agsy-figures-and-tables) Exhibits are where a systems reviewer checks whether the model and the trade-offs are real. At AgSy the strongest exhibits make **interactions, dynamics, and trade-offs** visible, and let a reader judge **model performance** at a glance. A wall of single-treatment bar charts does not belong in a systems paper. ## When to trigger - Designing the main res
What does the agsy-figures-and-tables skill do?
Use when building figures and tables for an Agricultural Systems (AgSy) manuscript so exhibits communicate interactions, dynamics, trade-offs, and model performance clearly. AgSy is a systems journal, so the best exhibits show trade-off frontiers, observed-vs-simulated fit, resource flows, and conceptual system diagrams — not just a bar chart of one treatment. Designs exhibits; it does not run the analysis.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill agsy-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 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.