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Agsy Workflow

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franklee16
agsy-workflow

Use as the entry point for any Agricultural Systems (AgSy) manuscript. Routes to the right AgSy sub-skill based on where you are in the lifecycle and which article type (research paper, short communication, perspective, comment, review) fits. AgSy is a systems-science journal, so the router's first job is to confirm there is a real systems question — interactions, hierarchical levels, trade-offs — not a single-factor field trial. It dispatches; it does not draft content.

Overview

Publisherfranklee16
Repositoryacademic-research-skills
Skill nameagsy-workflow
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 Workflow 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-workflow
  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-workflow .claude/skills/agsy-workflow
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agsy Workflow 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 Workflow 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 Workflow 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.

Agricultural Systems Workflow Router (agsy-workflow)

The orchestrator for an Agricultural Systems submission. Figure out the stage and the article type, then send the user to the matching skill. AgSy is defined by interactions across components and hierarchical levels (field → farm → landscape → region → food system) — the router's first job is to make sure the paper poses a genuine systems question, analyzed with modelling and trade-offs, not a single-factor agronomic trial.

When to trigger

  • Starting a new AgSy paper and unsure where to begin
  • Mid-project and unsure which skill applies next
  • Deciding which article type fits the work
  • Returning with a decision letter (route to agsy-revision-and-rebuttal)

First question: is this a systems paper, and which type?

SituationArticle typeRoute to
Full systems study (interactions, modelling, trade-offs)Research paper (~8,000 words)normal pipeline below
One focused systems resultShort communication (~4,000 words)normal pipeline, tighter scope
Forward-looking opinion on agricultural-systems sciencePerspective (~2,000 words, rapid review)agsy-writing-style + agsy-impact-and-implications
Short response to a published AgSy paperComment (~1,000 words)agsy-literature-positioning + agsy-writing-style
Integrative synthesis of a systems literatureReview (verify scope)agsy-literature-positioning + agsy-systems-framing-and-modeling

If the work is really a single-treatment field trial with no interactions, trade-offs, or model, it is off-fit — reframe it as a systems question or send it to a field-crops/agronomy journal.

Routing map (stage → skill)

text
Is it a real systems question?     → agsy-topic-selection
Where does it sit in the field?    → agsy-literature-positioning
System boundaries + the model?     → agsy-systems-framing-and-modeling
Is the model evaluated soundly?    → agsy-data-and-model-evaluation
Do exhibits show interactions?     → agsy-figures-and-tables
Does it read clearly?              → agsy-writing-style
Why does the result matter?        → agsy-impact-and-implications
Data + code + models shareable?    → agsy-reproducibility-and-data-policy
How will it be judged?             → agsy-review-process
Ready to submit?                   → agsy-submission
Got reviews / a decision?          → agsy-revision-and-rebuttal

Default order

topic-selection → literature-positioning → systems-framing-and-modeling → data-and-model-evaluation → figures-and-tables → writing-style → impact-and-implications → reproducibility-and-data-policy → review-process → submission → revision-and-rebuttal

Iterate: most systems papers loop framing ↔ modelling ↔ evaluation several times before writing-style.

Anti-patterns

  • Treating AgSy like a field-trial agronomy journal — the contribution must be a systems analysis
  • A model run with no description, calibration, or evaluation (a black box)
  • Skipping the decision/impact step — AgSy wants relevance, not a methods demo
  • Leaving data, code, and the model undocumented until acceptance

Output format

【Stage】idea / positioning / framing / evaluation / exhibits / writing / impact / repro / review / submit / revise
【Article type】Research paper / Short communication / Perspective / Comment / Review
【Systems question?】real interactions/trade-offs? [Y/N]
【Route to】agsy-<skill>
【Why】one line
【Then】the next skill after that

Supplementary resources

Frequently asked questions

What does the Agsy Workflow AI skill do?

Use as the entry point for any Agricultural Systems (AgSy) manuscript. Routes to the right AgSy sub-skill based on where you are in the lifecycle and which article type (research paper, short communication, perspective, comment, review) fits. AgSy is a systems-science journal, so the router's first job is to confirm there is a real systems question — interactions, hierarchical levels, trade-offs — not a single-factor field trial. It dispatches; it does not draft content.

Why use Agsy Workflow on TypingMind?

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

Which AI models can use Agsy Workflow?

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 Workflow?

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

Is the Agsy Workflow 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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