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Asq Literature Positioning

Community
franklee16
asq-literature-positioning

Use when situating an Administrative Science Quarterly (ASQ) manuscript within organization-theory conversations and sharpening the gap/tension it addresses. Positions the argument; it does not develop the core theory or write the methods.

Overview

Publisherfranklee16
Repositoryacademic-research-skills
Skill nameasq-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 Asq 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/Administrative-Science-Quarterly-Skills/skills/asq-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/Administrative-Science-Quarterly-Skills/skills/asq-literature-positioning .claude/skills/asq-literature-positioning
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Asq 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 Asq 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 Asq 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 (asq-literature-positioning)

When to trigger

  • Your literature section reads as an annotated list rather than an argument
  • You cite many works but are in dialogue with none of them
  • You cannot name the specific scholarly conversation you are joining
  • Reviewers say you "missed the relevant literature" or "misframed the contribution"

Join a conversation, don't survey a field

ASQ readers are organization theorists. They expect you to enter a specific, identifiable conversation and advance it. The literature section is an argument that creates the space for your contribution — not a comprehensive survey.

Steps:

  1. Name the conversation. Identify the 2–4 streams your paper speaks to (e.g., categories and audiences; status and Matthew effects; institutional logics; organizational identity; routines and capabilities; network brokerage; sensemaking; ecology and selection).
  2. Characterize what that conversation currently assumes. State the prevailing view fairly and precisely — strong steelman, not strawman.
  3. Locate the tension. Show where the conversation is incomplete, internally contradictory, or contradicted by your puzzle.
  4. Stake the opening. Make explicit the theoretical space your paper will occupy.

Engage the traditions

ASQ has a long lineage in organization theory and the sociology of organizations, running back to its 1956 founding by James D. Thompson. Failing to engage the relevant tradition is a common rejection trigger. Many of these traditions were defined or sharpened in ASQ's own pages — so the relevant prior is often an ASQ paper, not an AMJ/SMJ one. Map your puzzle to the canonical lineages where appropriate (verify exact citations yourself):

  • Carnegie-school decision-making and bounded rationality (e.g., the garbage-can model, Cohen, March & Olsen 1972, ASQ)
  • Institutional theory and institutional logics (a core ASQ conversation; note DiMaggio & Powell's 1983 "Iron Cage Revisited" appeared in American Sociological Review, not ASQ — cite it as lineage, not as an ASQ paper)
  • Organizational ecology and selection
  • Resource dependence and power
  • Network and status/structural-position theories
  • Categories, valuation, and audiences
  • Identity, image, and sensemaking (e.g., Weick 1993, Mann Gulch, ASQ)
  • Routines, capabilities, and practice

You need not cite all of these — but you must show command of the relevant lineage and recent ASQ-adjacent work in it.

Recency and venue

  • Engage recent work (the conversation as it stands now), not only foundational citations
  • Anchor in recent ASQ articles first, then closely related Organization Science / AMJ / SMJ pieces — ASQ reviewers expect to see you in dialogue with the journal's own ongoing conversations, not only adjacent venues
  • If a recent paper appears to scoop you, address it head-on and sharpen your distinct contribution

Avoid the "everything" review

Cut anything that does not (a) establish the conversation, (b) build the tension, or (c) differentiate your contribution. A tight, argumentative review signals command; a sprawling one signals uncertainty.

Checklist

  • The specific conversation(s) you join are named, not implied
  • The prevailing view is steelmanned, then shown to be incomplete/contradicted
  • The theoretical opening for your paper is explicit
  • The relevant organization-theory tradition is engaged, not bypassed
  • Recent work (incl. recent ASQ) is engaged, not just classics
  • Any near-scoop paper is addressed and differentiated
  • Every cited stream earns its place (no filler citations)

Anti-patterns

  • "List-and-cite" reviews with no argument or tension
  • Strawmanning prior work to manufacture a gap
  • Citing only 1990s–2000s classics while ignoring the current debate
  • Ignoring the obvious adjacent ASQ paper a reviewer will know
  • Claiming "no one has studied X" instead of building a theoretical tension

Output format

【Conversation(s)】the 2–4 streams you join
【Prevailing view】steelmanned summary
【Tension/opening】where it breaks and where your paper enters
【Tradition engaged】which org-theory lineage(s)
【Near-scoops handled】yes/no + how differentiated
【Next step】asq-methods

Frequently asked questions

What does the Asq Literature Positioning AI skill do?

Use when situating an Administrative Science Quarterly (ASQ) manuscript within organization-theory conversations and sharpening the gap/tension it addresses. Positions the argument; it does not develop the core theory or write the methods.

Why use Asq Literature Positioning on TypingMind?

Because you install it once and use it with any model. Asq 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 Asq 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/Administrative-Science-Quarterly-Skills/skills/asq-literature-positioning. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Asq 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 Asq Literature Positioning?

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

Is the Asq 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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