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Agsy Figures And Tables

Community
franklee16
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.

Overview

Publisherfranklee16
Repositoryacademic-research-skills
Skill nameagsy-figures-and-tables
Stars
225
Forks
34
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by franklee16 on GitHub. Read the source before you install it.

Installation

Install the Agsy Figures And Tables AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/Agricultural-Systems-Skills/skills/agsy-figures-and-tables
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/franklee16/academic-research-skills.git /tmp/academic-research-skills
mkdir -p .claude/skills
cp -r /tmp/academic-research-skills/Awesome-Journal-Skills-main/Agricultural-Systems-Skills/skills/agsy-figures-and-tables .claude/skills/agsy-figures-and-tables
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agsy Figures And Tables in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Agsy Figures And Tables on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Agsy Figures And Tables is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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 results figure or a key model-performance exhibit
  • Deciding what belongs in the article vs. supplementary material
  • A reviewer found an exhibit unclear, mislabeled, or not self-contained
  • Presenting scenario comparisons or trade-offs

Principles

  1. Self-contained. A reader should understand each exhibit from its caption, axis/column labels, and note alone. State units, system level (field/farm/landscape/region), scenario, N, and time horizon.
  2. Show the system, not one factor. Prefer exhibits that reveal interactions and trade-offs:
    • Trade-off / Pareto-front plots (e.g., profit vs. N leaching across options)
    • Observed-vs-simulated (1:1) plots with fit statistics (RMSE/NSE/bias) for model evaluation
    • Time series of state variables to show dynamics and feedbacks
    • Sankey / flow diagrams for resource, nutrient, or energy flows
    • Conceptual system diagrams (boxes/arrows) for boundaries and components
    • Multi-indicator / radar profiles for sustainability comparisons
  3. Show uncertainty. Intervals, ensemble ranges, or boxplots — not bare point estimates from a single model run.
  4. Accessible. Colorblind-safe palettes; legible in grayscale; no chartjunk or 3D; vector output (PDF/EPS) for print.
  5. Reproducible. Each exhibit is generated by the master workflow; numbers match the deposited data/code/model exactly (see agsy-reproducibility-and-data-policy).

Article vs. supplementary

  • Keep the few exhibits that carry the systems argument (trade-offs, key dynamics, model fit) in the article; move full calibration tables, parameter lists, and exhaustive scenario grids to supplementary material.

Anti-patterns

  • A single-treatment bar chart presented as the main result of a "systems" paper
  • Observed-vs-simulated shown without fit statistics, or fit statistics with no plot
  • Scenario tables that bury the trade-off instead of plotting the frontier
  • Point estimates from one model run with no uncertainty shown
  • Color-only encoding that fails in grayscale or for colorblind readers
  • Exhibit numbers/values that don't match the deposited model output

Output format

【Main exhibit】what system interaction / trade-off / fit it shows
【Type】trade-off frontier / 1:1 / time series / flow diagram / system diagram / radar
【Self-contained?】caption + labels + units + level + scenario + N? [Y/N]
【Uncertainty shown?】intervals / ensemble / boxplot? [Y/N]
【Article vs supplementary】split decided
【Reproducible?】generated by master workflow, matches package? [Y/N]
【Next】agsy-writing-style

Supplementary resources

Frequently asked questions

What does the Agsy Figures And Tables AI 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.

Why use Agsy Figures And Tables on TypingMind?

Because you install it once and use it with any model. Agsy Figures And Tables is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Agsy Figures And Tables in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/Agricultural-Systems-Skills/skills/agsy-figures-and-tables. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Agsy Figures And Tables?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Agsy Figures And Tables?

As many as you like. As long as a model supports skills, you can use Agsy Figures And Tables with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Agsy Figures And Tables AI skill free?

It is published on GitHub by franklee16. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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