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Agsy Literature Positioning

Community
franklee16
agsy-literature-positioning

Use when positioning an Agricultural Systems (AgSy) manuscript against the literature so it reads as a systems contribution. AgSy readers span agronomy, modelling, livestock, economics, environment, and food-system science, so the paper must engage the systems and modelling literatures they expect — not only one subfield. Stakes the contribution; it does not write the lit review.

Overview

Publisherfranklee16
Repositoryacademic-research-skills
Skill nameagsy-literature-positioning
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 Literature Positioning 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-literature-positioning
  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-literature-positioning .claude/skills/agsy-literature-positioning
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agsy Literature Positioning 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 Literature Positioning 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 Literature Positioning 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.

Literature Positioning (agsy-literature-positioning)

AgSy is read by a systems-science audience that spans crop and livestock modelling, whole-farm and bio-economic analysis, sustainability assessment, and food-system science. Positioning is therefore not throat-clearing — the paper must show it advances the systems and modelling conversation, not just add another data point to one subfield.

When to trigger

  • Drafting or revising the introduction and the "contribution" paragraph
  • A reviewer said you "ignored the relevant modelling work" or "don't engage the systems debate"
  • Your agronomic or model results are solid but the framing reads as single-discipline
  • You need to distinguish your contribution from the closest prior systems studies / models

How AgSy wants the literature engaged

  1. Engage the systems debate, not a citation pile. Identify the open systems question — an unresolved trade-off, a contested mechanism, a model limitation, a scaling gap — that your paper addresses. Cite the works that define it.
  2. Two literatures at once. The domain literature (the crop/livestock/farm/food system you study) and the methods literature (the model family, calibration/evaluation, sensitivity, trade-off analysis). AgSy reviewers expect both.
  3. Locate your model among existing models. Why this model and not the standard alternatives (APSIM/DSSAT/STICS, whole-farm/bio-economic, ABM, integrated assessment)? What does yours add?
  4. Name the gap precisely. Not "little is known" — say what is mismodelled, untested across scales, or missing a trade-off, and why resolving it advances systems understanding.
  5. Pre-empt the obvious objection. Acknowledge the strongest rival explanation or competing model and say how your design/evaluation adjudicates it (hand off to agsy-data-and-model-evaluation).

Cross-system engagement (a distinctive AgSy demand)

If your paper is…also engage…
a crop-model applicationthe whole-farm / trade-off literature it feeds into
a whole-farm or bio-economic studythe process-model and the economic/decision literatures
a landscape/regional analysisthe aggregation/emergence and land-use-competition literature
a food-system studythe production, environment, and policy literatures it connects

Anti-patterns

  • A "literature dump" with no organizing systems question
  • Engaging only the agronomy literature and ignoring the modelling/evaluation literature (or vice versa)
  • Not situating your model among the standard model families
  • Strawmanning prior models, or hiding the closest competing study
  • Claiming "first to model" when the contribution is incremental

Output format

【Systems debate】the open trade-off / mechanism / scaling / model gap
【Key works】the 3-6 that define it (domain + methods)
【Model landscape】where your model sits among alternatives
【Gap】what is mismodelled / untested across scales / missing a trade-off
【Move】how this paper changes the systems conversation
【Strongest rival】and how evaluation will adjudicate it
【Next】agsy-systems-framing-and-modeling

Supplementary resources

Frequently asked questions

What does the Agsy Literature Positioning AI skill do?

Use when positioning an Agricultural Systems (AgSy) manuscript against the literature so it reads as a systems contribution. AgSy readers span agronomy, modelling, livestock, economics, environment, and food-system science, so the paper must engage the systems and modelling literatures they expect — not only one subfield. Stakes the contribution; it does not write the lit review.

Why use Agsy Literature Positioning on TypingMind?

Because you install it once and use it with any model. Agsy Literature Positioning 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 Literature Positioning 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-literature-positioning. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Agsy Literature Positioning?

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 Literature Positioning?

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

Is the Agsy Literature Positioning 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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