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Amr Writing Style

Community
franklee16
amr-writing-style

Use when polishing the prose and structure of an Academy of Management Review (AMR) manuscript to AOM house style and an argument-driven voice. Late-stage polish; it does NOT build theory or check logic — do those first with amr-theory-development and amr-data-analysis.

Overview

Publisherfranklee16
Repositoryacademic-research-skills
Skill nameamr-writing-style
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 Amr Writing Style 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/Academy-of-Management-Review-Skills/skills/amr-writing-style
  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/Academy-of-Management-Review-Skills/skills/amr-writing-style .claude/skills/amr-writing-style
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Amr Writing Style 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 Amr Writing Style 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 Amr Writing Style 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.

Writing Style: AOM House Style, Argument-Driven Prose (amr-writing-style)

When to trigger

  • The theory and contribution are settled; now the prose needs polish
  • The draft reads like a literature review or an essay, not a built argument
  • Sections are present but the manuscript does not "flow" toward the contribution
  • You are unsure of AMR's structural conventions

AMR's structure (durable form)

AMR conceptual articles follow a recognizable arc. Verify exact requirements on the current AOM author page, but the durable shape is:

  1. Introduction — the theoretical puzzle. Open with the tension, not a definition or a dictionary opening. State the puzzle, the conversation, and your move within the first two pages. Tell the reader what theory cannot currently do and that this paper fixes it.
  2. Theoretical development. Constructs defined → assumptions → relationships + mechanisms → propositions (each earned by argument). This is the body and the bulk.
  3. The conceptual model / figure integrated where it clarifies the argument.
  4. Discussion. Contribution (what's new, differentiated), boundary conditions, and implications for theory, future research, and practice.

There is no methods, results, or data section — AMR is theory-only. The reasoning is the contribution, so make the Why vivid (Whetten, AMR 1989, DOI 10.5465/amr.1989.4308371); define constructs precisely and consistently (Suddaby, AMR 2010, DOI 10.5465/amr.2010.0419). Exemplar to study for narrative: Oliver's "Strategic Responses to Institutional Processes" (AMR 1991, DOI 10.5465/amr.1991.4279002) — puzzle → typology → propositions → implications, no methods, no results.

Voice and prose discipline

  • Argument, not survey. Every paragraph should advance the theory. If a paragraph only reports what others found, it is review filler — cut or repurpose it to set up your move.
  • Define before you use. A construct's first appearance carries its definition; use the exact same label every time afterward. Terminological drift reads as conceptual fuzziness.
  • Signpost the logic. "Because... it follows that..."; "This implies..."; "We therefore propose..." Make the inferential moves visible — at AMR the prose is the proof.
  • Propositions in the text are set off and numbered, each immediately following the argument that earns it.
  • Precision over flourish. AMR prizes conceptual precision. Avoid vague intensifiers ("very important," "highly significant") and metaphors that do no theoretical work.
  • No hypothesis vocabulary. Never write "we hypothesize," "H1," "results show," "we find," or "supported / not supported." AMR uses propositions because nothing is tested; that vocabulary is AMJ's and reads immediately as wrong-journal to AMR editors.
  • AOM/APA style mechanics. APA-style author–date in-text citations; full reference list per the Academy of Management (APA-derived) style guide; double-spaced manuscript. (APA edition UNVERIFIED — confirm in the style guide; see resources/official-source-map.md.) Verify current length and abstract limits before submitting (also UNVERIFIED here). Submission-stage facts such as AMR's current editor, no-fee policy, and ScholarOne link belong in amr-submission and resources/official-source-map.md, not in prose edits.

Self-edit passes

  • Puzzle pass: is the tension on page 1–2, or buried?
  • Survey pass: highlight every sentence that only reports prior work; if it does not set up your move, cut it.
  • Definition pass: is every construct defined once and labeled consistently?
  • Inference pass: can a skeptical reader follow each step from premise to proposition?
  • So-what pass: does the discussion differentiate the contribution, not restate it?

Checklist

  • Introduction states the puzzle and the move within ~2 pages
  • No methods/results/data section exists
  • Every paragraph advances the argument; no review-essay filler
  • Constructs defined on first use; labels consistent throughout
  • Inferential connectives make the logic explicit
  • Propositions are numbered and follow their arguments
  • Discussion differentiates the contribution and states implications
  • AOM author-date citations and reference style applied (verify current guide)

Anti-patterns

  • A literature review masquerading as theory: paragraphs of "X found... Y found..."
  • A dictionary or epigraph opening that delays the puzzle
  • Construct labels that drift (same idea, three names)
  • Buried propositions the reader must hunt for
  • Empty intensifiers and decorative metaphor substituting for precise claims
  • A discussion that summarizes the paper instead of stating what is newly thinkable

Output format

【Puzzle on page 1–2?】yes / fix
【Review-essay filler】[paragraphs to cut/repurpose]
【Construct-label consistency】ok / drift at: ...
【Logic signposting】explicit / add at: ...
【AOM style】citations + references conform (verify)
【Next step】amr-submission

Frequently asked questions

What does the Amr Writing Style AI skill do?

Use when polishing the prose and structure of an Academy of Management Review (AMR) manuscript to AOM house style and an argument-driven voice. Late-stage polish; it does NOT build theory or check logic — do those first with amr-theory-development and amr-data-analysis.

Why use Amr Writing Style on TypingMind?

Because you install it once and use it with any model. Amr Writing Style 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 Amr Writing Style 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/Academy-of-Management-Review-Skills/skills/amr-writing-style. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Amr Writing Style?

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 Amr Writing Style?

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

Is the Amr Writing Style 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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