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Literature Review Skills

Community
xingtaxueshu
literature-review-skills

Guide literature reviews from question refinement to evidence-grounded drafting, including journalism and communication, library and information science, and other disciplines. Use for 文献综述、新闻传播、情报学、综述写作、研究空白, or grill me / 追问 / 模拟答辩 about a review.

Overview

Publisherxingtaxueshu
Repositoryliterature-review-skills
Skill nameliterature-review-skills
Stars
78
Forks
6
Bundled files
67
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.

  • 67 bundled files

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

  • Open source

    Published by xingtaxueshu on GitHub. Read the source before you install it.

Installation

Install the Literature Review Skills 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/xingtaxueshu/literature-review-skills/tree/main
  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/xingtaxueshu/literature-review-skills.git \
  .claude/skills/literature-review-skills
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Literature Review Skills 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 Literature Review Skills 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 Literature Review Skills 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 Review Skills

This is the entry point for the five literature-review skills in this repository.

Use it when a user wants help with a literature review but has not yet chosen a specific skill. Route the user to the smallest skill that matches the current stage of work.

Start Here

Read discipline routing, then only the matching discipline profile. Read review workflow for search, extraction, and drafting. Read research interview when the user requests grill me, pressure-testing, or has unresolved scope decisions.

Use the user's language. Reuse information already supplied. Establish review type, question, discipline, scope, and available evidence. A scoped conceptual or historical question is valid; do not force causal hypotheses onto every review.

For a complete review, follow the five stages below and then the drafting workflow. With no sources, provide a search plan and outline, not literature findings. With sources, draft thematic synthesis with claim-to-source links and explicit limitations.

Loading Stage Instructions

Resolve paths relative to this SKILL.md, not the working directory. Open the selected file before executing its workflow; naming a skill is not enough:

If an installer omitted these files, report which are missing and request the complete repository or installation of the named stage skills. Do not claim to have loaded absent instructions. Individual stage skills carry their own references and remain usable independently.

Skill Map

  1. refine-literature-question
    • Use when the user has a broad topic and needs a sharp one-sentence review question.
  2. decompose-review-modules
    • Use when the user already has a core question and needs 3-5 review modules.
  3. compare-research-methods
    • Use when the user needs to justify method choices or compare method routes.
  4. map-literature-contradictions
    • Use when the user has conflicting findings, notes, claims, or abstracts and needs a structured synthesis.
  5. locate-review-research-gap
    • Use when the user needs to turn the review ending into a concrete research gap or future study direction.

Source Integrity

Before starting, check whether real references (full records, abstracts, or notes) are already available. Ask only if this is unresolved and the user has not requested no questions; otherwise record the evidence limit and proceed with a plan. Follow references/source-integrity.md: use only sources the user provided or that are verified, tag each with a status (用户提供 / 已核验 / 未核验), and write "未查到" instead of completing authors, year, journal, or pages. If the user has no references yet, say so in the output and give a method framework without literature claims. If that file is not available, still apply these rules.

Read references/output-contract.md. Final deliverables end with ## 待核实清单 and ## 给作者的问题; draft sections use ## 段落草稿(需作者改写并核对来源) in the position specified by the stage or review workflow. Intermediate interview turns are exempt. In no-question mode, retain the author-question heading with "无(按要求不追加提问)".

Recommended Sequence

If the user is starting from scratch, use the skills in this order:

text
refine-literature-question -> decompose-review-modules -> compare-research-methods -> map-literature-contradictions -> locate-review-research-gap

Do not treat this workflow as ghostwriting. The skills should help the researcher clarify questions, organize evidence, and test logic. They should not fabricate sources, invent findings, or replace the researcher's academic judgment. Generated paragraphs are drafts for the author to rewrite and check against sources.

Bundled files

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

and 7 more files.

Frequently asked questions

What does the Literature Review Skills AI skill do?

Guide literature reviews from question refinement to evidence-grounded drafting, including journalism and communication, library and information science, and other disciplines. Use for 文献综述、新闻传播、情报学、综述写作、研究空白, or grill me / 追问 / 模拟答辩 about a review.

Why use Literature Review Skills on TypingMind?

Because you install it once and use it with any model. Literature Review Skills 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 Literature Review Skills in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/xingtaxueshu/literature-review-skills/tree/main. 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 Literature Review Skills?

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 Literature Review Skills?

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

Is the Literature Review Skills AI skill free?

Yes. It is published on GitHub by xingtaxueshu 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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