Academic Citation

Community

joshua-zyy

academic-citation

Search, verify, and map citations for CS/AI/ML papers. Produces VERIFIED/UNVERIFIED reference lists with Citation-to-Claim maps and Exemplar Sets. Use when: finding references for a paper section, verifying citation accuracy, building exemplar sets for introduction/related work learning, checking if existing citations are real and accurate, supplementing local literature library. Triggers on: 找引用, 文献检索, citation pass, find references, reference check, 补文献, citation verification, Exemplar Set, search papers, verify citation, 核验文献, 查引用, literature search, reference verification, citation verification with reading, 引用确认, 全文阅读验证.

Overview

Publisher	joshua-zyy
Repository	`academic-paper-writer`
Skill name	`academic-citation`
Stars	115
Forks	1
Bundled files	14
License	MIT
Links	Skill source Repository

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.
14 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 Citation AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/joshua-zyy/academic-paper-writer/tree/main/skills/academic-citation
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.

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-citation .claude/skills/academic-citation

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Academic Citation 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 Citation 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 Citation 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 Citation

将此 skill 视为"文献取证代理"，而不是搜索结果搬运器。

Router Protocol

Read manifest.yaml. It declares always_load files, axes, and references.on_demand.
Read every file listed under always_load. These are the skill's binding rules — not reference material.
Apply the loaded material as constraints:
- stance.md defines non-negotiable rules, source/inference boundary, and scope.
- red-lines.md defines absolute prohibitions. Do not negotiate these.
- output-contract.md defines deliverables per mode.
- anti-patterns.md defines known failure modes and their correct alternatives.
If the user wants to use a local literature library, first distinguish:
- local_ref_md_dir: an existing Markdown library containing _index_ref.json.
- local_ref_pdf_dir: a PDF directory, or any local library directory that lacks _index_ref.json.
For local_ref_pdf_dir, stop before citation search. Tell the user to register a MinerU API token, set MINERU_API_TOKEN, run scripts/convert-pdfs-to-md.py, and return only after they confirm PDF→MD completion. Do not proceed to local reading until the generated MD directory has _index_ref.json.
Detect the workflow using the manifest's workflow axis. Literature reading output must separate source quotes from agent inference; only source: 原文 or source: 图片 content may be used as citation evidence.
Echo the selected mode to the user before executing.
Reach for references/ only when the manifest's references.on_demand condition is satisfied.

Modes

Mode	Use when
`full-citation-pass`	Complete coverage for a full paper or core section
`targeted-citation-search`	Specific claim, section, or topic
`exemplar-set-only`	Build Exemplar Set only, not full citation list
`citation-verification`	Verify metadata of existing candidate list
`local-citation-pass`	Local MD library first, then web supplement
`citation-verification-with-reading`	Full-text reading after paper draft completion

Agent Dispatch

Agent	Purpose
`agents/citation_agent.md`	Literature search strategy (4-class query templates, output schema)
`agents/literature-reader-agent.md`	Literature reading & extraction (MD full-text → LiteratureReadingReport)

Dispatched by academic-paper-writer orchestrator at Step 3. Subagents search and verify only; they must not modify project files or write paper prose independently. literature-reader-agent is dispatched in parallel by citation_agent or the orchestrator at Step 3a/3b.

Independent Use

Input	Mode	Priority	Behavior
Section + keywords	full-citation-pass	1 (explicit)	Full 6-step workflow
Citation list / seed papers	citation-verification	1 (explicit)	Metadata only, no extra search
`local_ref_md_dir` provided and `_index_ref.json` exists	local-citation-pass	2 (path trigger)	Local MD + batch parallel reader agent dispatch
Local PDF library path provided, or local path lacks `_index_ref.json`	pdf2md-preflight	1 (blocking preflight)	Instruct MinerU setup and script command; wait for user confirmation
Section only	targeted-citation-search	3 (single feature)	Auto-keyword, 4-class query
Explicit Exemplar Set request	exemplar-set-only	1 (explicit)	Exemplar Set only

Multi-condition: lower priority number wins.

Scenario	Recommended
Just searching/verifying citations	This skill (standalone)
Integrating into paper drafting	academic-paper-writer orchestrator
Existing draft needs citation review	This skill → academic-reviser

Bundled files

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

agents/citation_agent.md9 KB
agents/literature-reader-agent.md11 KB
manifest.yaml2 KB
references/citation-mapping.md2 KB
references/search-strategy.md3 KB
references/verification-protocol.md3 KB
references/workflow-citation-pass.md6 KB
scripts/citation_audit.py3 KB
scripts/convert_pdfs_to_md_mineru_api.py23 KB
scripts/convert-pdfs-to-md.py2 KB
static/core/anti-patterns.md1 KB
static/core/output-contract.md1 KB
static/core/red-lines.md1 KB
static/core/stance.md3 KB

Frequently asked questions

What does the Academic Citation AI skill do?

Why use Academic Citation on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/joshua-zyy/academic-paper-writer/tree/main/skills/academic-citation. 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 Citation?

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 Citation?

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

Is the Academic Citation 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Academic Citation

Router Protocol

Modes

Agent Dispatch

Independent Use

Bundled files

Frequently asked questions

Related AI Skills

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