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Academic Venue Research

Community
joshua-zyy
academic-venue-research

Research target venue requirements and writing style for CS/AI/ML papers. Produces venue-brief.md with submission requirements and detailed writing style analysis. Use when: researching target journal/conference requirements, analyzing writing style of target venue, generating venue brief for paper writing, checking submission guidelines. Triggers on: venue research, 期刊调研, 目标期刊, writing style analysis, 写作风格分析, venue requirements, submission guidelines, 投稿要求, journal style, conference format.

Overview

Publisherjoshua-zyy
Repositoryacademic-paper-writer
Skill nameacademic-venue-research
Stars
115
Forks
1
Bundled files
9
LicenseMIT
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.

  • 9 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by joshua-zyy on GitHub. Read the source before you install it.

Installation

Install the Academic Venue Research 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/joshua-zyy/academic-paper-writer/tree/main/skills/academic-venue-research
  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/joshua-zyy/academic-paper-writer.git /tmp/academic-paper-writer
mkdir -p .claude/skills
cp -r /tmp/academic-paper-writer/skills/academic-venue-research .claude/skills/academic-venue-research
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Academic Venue Research 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 Academic Venue Research 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 Academic Venue Research 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.

Academic Venue Research

将此 skill 视为"期刊调研代理",负责调研目标期刊/会议的投稿要求和写作风格。

Router Protocol

  1. Read manifest.yaml. It declares always_load files, axes, and references.on_demand.
  2. Read every file listed under always_load. These are the skill's binding rules — not reference material.
  3. Apply the loaded material as constraints:
    • stance.md defines core rules, source hierarchy, and scope.
    • red-lines.md defines absolute prohibitions. Do not negotiate these.
    • output-contract.md defines deliverables per mode.
  4. Detect the mode using the manifest's mode axis: full-venue-research, requirements-only, or style-only. Source hierarchy rule: official guidelines > template docs > accepted paper observations > agent knowledge. If ambiguous, ask one concise question.
  5. Echo the selected mode to the user before executing.
  6. Reach for references/ only when the manifest's references.on_demand condition is satisfied.

Modes

ModeUse when
full-venue-researchVenue + local style papers or full brief request
requirements-onlyVenue name only, no style analysis needed
style-onlyLocal style reference library, no requirements research

Agent Dispatch

agents/venue-research-agent.md is dispatched by the orchestrator at Step 4. The agent returns Venue Brief Markdown content; it must not write files directly during orchestrated use. File writes are owned by the orchestrator.

Independent Use

InputModePriorityBehavior
Venue + local style corpusfull-venue-research1 (explicit)Full 4-step workflow
Venue onlyrequirements-only2 (single feature)Requirements only
Local style corpus onlystyle-only3 (path trigger)Style analysis only
ScenarioRecommended
Just researching venueThis skill (standalone)
Using results for paper writingacademic-paper-writer orchestrator

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Academic Venue Research AI skill do?

Research target venue requirements and writing style for CS/AI/ML papers. Produces venue-brief.md with submission requirements and detailed writing style analysis. Use when: researching target journal/conference requirements, analyzing writing style of target venue, generating venue brief for paper writing, checking submission guidelines. Triggers on: venue research, 期刊调研, 目标期刊, writing style analysis, 写作风格分析, venue requirements, submission guidelines, 投稿要求, journal style, conference format.

Why use Academic Venue Research on TypingMind?

Because you install it once and use it with any model. Academic Venue Research 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 Academic Venue Research in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/joshua-zyy/academic-paper-writer/tree/main/skills/academic-venue-research. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Academic Venue Research?

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 Academic Venue Research?

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

Is the Academic Venue Research AI skill free?

Yes. It is published on GitHub by joshua-zyy under the MIT license. 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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