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Amj Workflow

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franklee16
amj-workflow

Use when deciding which amj-* sub-skill to invoke next, or when sequencing manuscript work from topic selection through rebuttal for an Academy of Management Journal (AMJ) manuscript. Routes — it does not replace — the specialized skills.

Overview

Publisherfranklee16
Repositoryacademic-research-skills
Skill nameamj-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 Amj 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/Academy-of-Management-Journal-Skills/skills/amj-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/Academy-of-Management-Journal-Skills/skills/amj-workflow .claude/skills/amj-workflow
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Amj 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 Amj 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 Amj 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.

Academy of Management Journal Workflow (amj-workflow)

Overview

This is the router. It does not replace any specialized skill; it tells you which amj- skill to use right now* for your AMJ manuscript.

Default assumption: unless the user says otherwise, treat the target as AMJ — the premier empirical management journal published by the Academy of Management (AOM), founded in 1958 and published bimonthly (Feb/Apr/Jun/Aug/Oct/Dec). AMJ's stated mission is "to publish empirical research that tests, extends, or builds management theory and contributes to management practice." It explicitly welcomes all empirical methods — qualitative, quantitative, field, laboratory, meta-analytic, and mixed — and judges every manuscript on three criteria: a strong empirical contribution, a meaningful theoretical contribution, and practical relevance. The non-negotiable bar: a strong empirical study that also makes a clear theoretical contribution. Reviewers and the action editor will ask "what new theory do we learn?" as insistently as "is the method sound?" Both must pass.

Editorial team changes: Gary A. Ballinger (University of Virginia, McIntire) is the incoming Editor-in-Chief whose team began receiving submissions on 1 July 2025; verify the current masthead at journals.aom.org/journal/amj. Impact factor and acceptance rate fluctuate (2023 JCR IF ≈ 9.5) — treat any figure as approximate and confirm on the official page.

When to trigger

  • "What should I do next?" with a half-built AMJ manuscript
  • You have a dataset and a result but no clear theoretical story
  • A reviewer/editor pushes on "theoretical contribution" and you are unsure which stage is the real bottleneck
  • You received an AMJ decision letter (R&R or reject-and-resubmit) and need to switch into response mode
  • You keep bouncing between theory, method, and writing without a plan

Routing table

Current symptomNext skill
Idea is vague; not sure it is theory-driven or AMJ-fitamj-topic-selection
Hypotheses are descriptive; no clear theoretical mechanismamj-theory-development
Front end reads as gap-spotting; canonical theory not engagedamj-literature-positioning
Design may not match the question (level, source, timing, causality)amj-methods
Have data; unsure about measurement validity, CMB, endogeneity, modelsamj-data-analysis
Results exist but the "so what for theory" is thinamj-contribution-framing
Tables/figures cluttered, off house style, or not self-explanatoryamj-tables-figures
Prose is jargon-heavy, passive, or buries the argumentamj-writing-style
Ready to submit; need the ScholarOne preflightamj-submission
Want to understand how AMJ review/decisions work before/after submitamj-review-process
Received an R&R; need to plan and draft the responseamj-rebuttal

Default order

  1. amj-topic-selection — lock a theory-driven question with AMJ fit
  2. amj-theory-development — build the mechanism and derive hypotheses a priori
  3. amj-literature-positioning — engage canonical theory; state the conversation you join
  4. amj-methods — match design to the question (level, source, timing, causal logic)
  5. amj-data-analysis — measurement validity, CMB, endogeneity, the right estimator
  6. amj-contribution-framing — turn results into an explicit theoretical contribution
  7. amj-tables-figures — finalize main exhibits in AOM house style
  8. amj-writing-style — full-manuscript prose polish (Front-loaded argument, active voice)
  9. amj-submission — ScholarOne preflight (anonymization, format, files)
  10. amj-review-process — set expectations for the developmental, multi-round process
  11. amj-rebuttal — after an R&R, plan revisions then draft the response letter

amj-tables-figures and amj-writing-style are late-stage polish. Do not invoke them while the theoretical contribution or identification is still unsettled — you will polish an argument you may still have to rebuild.

Decision shortcuts

  • "I have a finding but no theory story" → amj-topic-selection then amj-theory-development
  • "My intro says 'no one has studied X'" (gap-spotting) → amj-literature-positioning
  • "Hypotheses are just 'A relates to B'" → amj-theory-development
  • "Single-source, single-wave, self-report" → amj-data-analysis (common-method bias)
  • "Archival design, treatment may be endogenous" → amj-methods then amj-data-analysis
  • "Reviewer says contribution is incremental" → amj-contribution-framing
  • "Submitting tomorrow" → amj-submission
  • "Got an R&R with 3 reviewers" → amj-review-process then amj-rebuttal

Difference vs. AMR / ASQ / SMJ stacks

  • AMJ: empirical contribution that also advances theory — data and theory weighted equally. AOM journal; 40-page main-body limit; ScholarOne at mc.manuscriptcentral.com/AMJ.
  • AMR (theory-only): a sister AOM journal with no data — the contribution is a novel, internally consistent theory, typically ~25-30 double-spaced pages excluding references. Use an AMR stack.
  • ASQ: Cornell/SAGE journal (not AOM); empirical or theoretical, prizes deep contextual/qualitative work and bold framing.
  • SMJ: Strategic Management Society / Wiley journal (not AOM); strategy-focused, performance and competitive-advantage questions, often archival.

If your paper has no original data and is purely conceptual, AMJ is the wrong venue — target AMR.

Anti-patterns

  • Do not skip amj-theory-development and jump to analysis — AMJ rejects atheoretical "gap-spotting."
  • Do not let amj-tables-figures beautify exhibits before the model and contribution are settled.
  • Do not let amj-rebuttal draft a response letter before you have actually revised the manuscript.
  • Do not treat amj-writing-style as a substitute for a real theoretical contribution — polish cannot rescue thin theory.

Frequently asked questions

What does the Amj Workflow AI skill do?

Use when deciding which amj-* sub-skill to invoke next, or when sequencing manuscript work from topic selection through rebuttal for an Academy of Management Journal (AMJ) manuscript. Routes — it does not replace — the specialized skills.

Why use Amj Workflow on TypingMind?

Because you install it once and use it with any model. Amj 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 Amj 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/Academy-of-Management-Journal-Skills/skills/amj-workflow. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Amj 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 Amj Workflow?

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

Is the Amj 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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