菜单
Add real references and standardize citations for research papers and theses. Supports CrossRef integration, multiple citation formats (APA/MLA/Chicago/GB-T), batch import, and auto-detection of citation needs.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Orchestrates the full pipeline of finding, analyzing, and extracting reusable modules from open-source GitHub repositories. 6 phases: demand → search → analyze → depgraph → extract → market. Each phase backed by a dedicated skill with its own methodology. Triggers: 开源复用, 模块提取, repo分析, 代码移植, 找开源库, github筛选, 依赖图
Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of "Word doc", "word document", ".docx", or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx files, inserting or replacing images in documents, performing find-and-replace in Word files, working with tracked changes or comments, or converting content into a polished Word document. If the user asks for a "report", "memo", "letter", "template", or similar deliverable as a Word or .docx file, use this skill. Do NOT use for PDFs, spreadsheets, Google Docs, or general coding tasks unrelated to document generation.
Use this skill any time a .pptx file is involved in any way — as input, output, or both. This includes: creating slide decks, pitch decks, or presentations; reading, parsing, or extracting text from any .pptx file (even if the extracted content will be used elsewhere, like in an email or summary); editing, modifying, or updating existing presentations; combining or splitting slide files; working with templates, layouts, speaker notes, or comments. Trigger whenever the user mentions "deck," "slides," "presentation," or references a .pptx filename, regardless of what they plan to do with the content afterward. If a .pptx file needs to be opened, created, or touched, use this skill.
Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like "the xlsx in my downloads") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.
金融数据智能检索。根据用户的自然语言描述，自动识别需要的数据接口， 查阅 API 文档，构造请求并返回数据。覆盖股票、指数、期货、债券、 基金、宏观经济等 15 大类 209 个接口。 触发词：查行情、看股票、财务数据、基金净值、期货行情、宏观数据、 涨停股、龙虎榜、资金流向、利率、CPI、GDP、可转债、ETF、港股、美股。
Tools for building modern React webapps with TypeScript, Tailwind CSS and shadcn/ui. Best suited for applications with complex UI components and state management.
| name | citation-manager |
| description | Add real references and standardize citations for research papers and theses. Supports CrossRef integration, multiple citation formats (APA/MLA/Chicago/GB-T), batch import, and auto-detection of citation needs. |
| description_zh | 学术引用管理，为论文添加真实参考文献并规范引用标注 |
| description_en | Academic citation manager for papers and theses with CrossRef integration |
| version | 1.0.0 |
| homepage | https://github.com/YouStudyeveryday/academic-citation-manager |
【中文】 学术引用管理器是一个专业的科研论文引用管理工具，旨在为科研论文和毕业论文添加真实参考文献并规范引用标注。该工具支持多种国际通用的引用格式，包括APA、MLA、Chicago、GB/T 7714、IEEE、Harvard等，并与Crossref API集成以获取真实的文献元数据。
核心功能包括：
【English】 Academic Citation Manager is a professional research paper citation management tool designed to add real references and standardize citations for research papers and theses. The tool supports multiple internationally used citation formats, including APA, MLA, Chicago, GB/T 7714, IEEE, Harvard, etc., and integrates with Crossref API to retrieve authentic bibliographic metadata.
Core features include:
【中文】
本工具支持以下主要引用格式：
【English】
This tool supports the following major citation formats:
【中文】
from academic_citation_skill import AcademicCitationManager
# 创建管理器实例
manager = AcademicCitationManager()
# 方法1：通过DOI获取文献信息
doi = "10.1000/xyz123"
reference = manager.fetch_reference_by_doi(doi)
print(f"标题: {reference['title']}")
print(f"作者: {reference['authors']}")
# 方法2：通过ISBN获取图书信息
isbn = "9780262033848"
reference = manager.fetch_reference_by_isbn(isbn)
# 方法3：通过标题和作者搜索
results = manager.search_references(
title="Artificial Intelligence",
author="Russell",
year=2020
)
# 添加到本地文献库
manager.add_to_library(reference)
# 生成文中引用
citation = manager.generate_citation(
reference_id=reference['id'],
style='apa',
citation_type='author-date'
)
print(f"文中引用: {citation}")
# 生成参考文献列表
bibliography = manager.generate_bibliography(
style='apa',
sort_by='alphabetical'
)
# 检查引用完整性
issues = manager.check_citation_integrity(document_text="your document content")
for issue in issues:
print(f"问题: {issue}")
# 格式转换
converted = manager.convert_citation_style(
references=[reference],
from_style='apa',
to_style='ieee'
)
# 通过DOI获取文献信息
python academic_citation_skill.py --fetch-doi 10.1000/xyz123
# 通过ISBN获取图书信息
python academic_citation_skill.py --fetch-isbn 9780262033848
# 批量导入参考文献
python batch_import.py --input references.bib --format bibtex
# 格式转换
python format_converter.py --input apa_refs.txt --from-style apa --to-style ieee
# 检查引用完整性
python citation_checker.py --document paper.docx --bibliography refs.txt
# 生成参考文献列表
python academic_citation_skill.py --generate-bib --style apa --input citations.txt
# 在LaTeX中使用
from academic_citation_skill import AcademicCitationManager
manager = AcademicCitationManager()
# 生成BibTeX格式
bibtex = manager.export_bibtex()
with open('references.bib', 'w') as f:
f.write(bibtex)
# 在Word中使用
from academic_citation_skill import WordCitationPlugin
plugin = WordCitationPlugin()
plugin.insert_citation(reference_id="ref1", style="apa")
plugin.generate_bibliography(style="apa")
# 在Markdown中使用
from academic_citation_skill import MarkdownCitationFormatter
formatter = MarkdownCitationFormatter()
formatted_text = formatter.format_markdown(
text="Your document with @[ref1] citations",
style="apa"
)
【English】
from academic_citation_skill import AcademicCitationManager
# Create manager instance
manager = AcademicCitationManager()
# Method 1: Fetch reference by DOI
doi = "10.1000/xyz123"
reference = manager.fetch_reference_by_doi(doi)
print(f"Title: {reference['title']}")
print(f"Authors: {reference['authors']}")
# Method 2: Fetch book information by ISBN
isbn = "9780262033848"
reference = manager.fetch_reference_by_isbn(isbn)
# Method 3: Search by title and author
results = manager.search_references(
title="Artificial Intelligence",
author="Russell",
year=2020
)
# Add to local library
manager.add_to_library(reference)
# Generate in-text citation
citation = manager.generate_citation(
reference_id=reference['id'],
style='apa',
citation_type='author-date'
)
print(f"In-text citation: {citation}")
# Generate bibliography list
bibliography = manager.generate_bibliography(
style='apa',
sort_by='alphabetical'
)
# Check citation integrity
issues = manager.check_citation_integrity(document_text="your document content")
for issue in issues:
print(f"Issue: {issue}")
# Convert citation style
converted = manager.convert_citation_style(
references=[reference],
from_style='apa',
to_style='ieee'
)
# Fetch reference by DOI
python academic_citation_skill.py --fetch-doi 10.1000/xyz123
# Fetch book information by ISBN
python academic_citation_skill.py --fetch-isbn 9780262033848
# Batch import references
python batch_import.py --input references.bib --format bibtex
# Format conversion
python format_converter.py --input apa_refs.txt --from-style apa --to-style ieee
# Check citation integrity
python citation_checker.py --document paper.docx --bibliography refs.txt
# Generate bibliography
python academic_citation_skill.py --generate-bib --style apa --input citations.txt
# Using with LaTeX
from academic_citation_skill import AcademicCitationManager
manager = AcademicCitationManager()
# Generate BibTeX format
bibtex = manager.export_bibtex()
with open('references.bib', 'w') as f:
f.write(bibtex)
# Using with Word
from academic_citation_skill import WordCitationPlugin
plugin = WordCitationPlugin()
plugin.insert_citation(reference_id="ref1", style="apa")
plugin.generate_bibliography(style="apa")
# Using with Markdown
from academic_citation_skill import MarkdownCitationFormatter
formatter = MarkdownCitationFormatter()
formatted_text = formatter.format_markdown(
text="Your document with @[ref1] citations",
style="apa"
)
【中文】
主要配置项：
{
"apa": {
"name": "APA 7th Edition",
"in_text": {
"format": "parenthetical",
"separator": ", ",
"year_position": "after_author",
"page_number_format": "p. {page}"
},
"bibliography": {
"sort_by": "alphabetical",
"author_format": "last_first",
"title_format": "sentence_case",
"doi_required": true,
"url_format": "available_at"
},
"document_type_codes": {
"book": "",
"journal": "",
"conference": "",
"thesis": "",
"report": ""
}
},
"gbt7714": {
"name": "GB/T 7714-2015",
"in_text": {
"format": "numeric_bracket",
"separator": ", ",
"prefix": "[",
"suffix": "]"
},
"bibliography": {
"sort_by": "citation_order",
"author_format": "chinese_name_order",
"document_type_codes": {
"book": "[M]",
"journal": "[J]",
"conference": "[C]",
"thesis": "[D]",
"report": "[R]",
"newspaper": "[N]"
}
},
"chinese_authors": {
"name_order": "last_first",
"separator": ", "
}
}
}
{
"api_base": "https://api.crossref.org",
"endpoints": {
"works": "/works",
"journals": "/journals",
"types": "/types",
"fields": "/fields"
},
"rate_limiting": {
"requests_per_second": 10,
"backoff_strategy": "exponential",
"max_retries": 3
},
"filters": {
"default": {
"has_full_text": true,
"state": "active"
},
"journals": {
"type": "journal-article"
},
"books": {
"type": "monograph"
}
},
"cache": {
"enabled": true,
"ttl_seconds": 86400,
"max_size": 1000
}
}
{
"metadata": {
"version": "1.0.0",
"created_date": "2026-03-01",
"last_updated": "2026-03-01"
},
"references": {
"ref_001": {
"id": "ref_001",
"type": "journal_article",
"title": "Deep Learning",
"authors": [
{
"given": "Yann",
"family": "LeCun",
"sequence": "first"
},
{
"given": "Yoshua",
"family": "Bengio",
"sequence": "additional"
}
],
"container_title": "Nature",
"volume": "521",
"issue": "7553",
"page": "436-444",
"published_date": "2015-05-27",
"year": 2015,
"doi": "10.1038/nature14539",
"issn": ["0028-0836", "1476-4687"],
"language": "en",
"tags": ["machine learning", "neural networks"]
}
},
"citation_mappings": {
"ref_001": [
{"document_id": "doc1", "positions": [45, 89, 234]},
{"document_id": "doc2", "positions": [12, 156]}
]
}
}
【English】
Main configuration items:
{
"apa": {
"name": "APA 7th Edition",
"in_text": {
"format": "parenthetical",
"separator": ", ",
"year_position": "after_author",
"page_number_format": "p. {page}"
},
"bibliography": {
"sort_by": "alphabetical",
"author_format": "last_first",
"title_format": "sentence_case",
"doi_required": true,
"url_format": "available_at"
},
"document_type_codes": {
"book": "",
"journal": "",
"conference": "",
"thesis": "",
"report": ""
}
},
"gbt7714": {
"name": "GB/T 7714-2015",
"in_text": {
"format": "numeric_bracket",
"separator": ", ",
"prefix": "[",
"suffix": "]"
},
"bibliography": {
"sort_by": "citation_order",
"author_format": "chinese_name_order",
"document_type_codes": {
"book": "[M]",
"journal": "[J]",
"conference": "[C]",
"thesis": "[D]",
"report": "[R]",
"newspaper": "[N]"
}
},
"chinese_authors": {
"name_order": "last_first",
"separator": ", "
}
}
}
{
"api_base": "https://api.crossref.org",
"endpoints": {
"works": "/works",
"journals": "/journals",
"types": "/types",
"fields": "/fields"
},
"rate_limiting": {
"requests_per_second": 10,
"backoff_strategy": "exponential",
"max_retries": 3
},
"filters": {
"default": {
"has_full_text": true,
"state": "active"
},
"journals": {
"type": "journal-article"
},
"books": {
"type": "monograph"
}
},
"cache": {
"enabled": true,
"ttl_seconds": 86400,
"max_size": 1000
}
}
{
"metadata": {
"version": "1.0.0",
"created_date": "2026-03-01",
"last_updated": "2026-03-01"
},
"references": {
"ref_001": {
"id": "ref_001",
"type": "journal_article",
"title": "Deep Learning",
"authors": [
{
"given": "Yann",
"family": "LeCun",
"sequence": "first"
},
{
"given": "Yoshua",
"family": "Bengio",
"sequence": "additional"
}
],
"container_title": "Nature",
"volume": "521",
"issue": "7553",
"page": "436-444",
"published_date": "2015-05-27",
"year": 2015,
"doi": "10.1038/nature14539",
"issn": ["0028-0836", "1476-4687"],
"language": "en",
"tags": ["machine learning", "neural networks"]
}
},
"citation_mappings": {
"ref_001": [
{"document_id": "doc1", "positions": [45, 89, 234]},
{"document_id": "doc2", "positions": [12, 156]}
]
}
}
【中文】
from academic_citation_skill import AcademicCitationManager
manager = AcademicCitationManager()
# 获取文献信息
ref = manager.fetch_reference_by_doi("10.1038/nature14539")
# 生成文中引用
in_text = manager.generate_citation(
reference_id=ref['id'],
style='apa',
citation_type='author-date'
)
print(f"文中引用: {in_text}")
# 输出: (LeCun, Bengio, & Hinton, 2015)
# 生成参考文献条目
bib_entry = manager.format_bibliography_entry(ref, style='apa')
print(f"参考文献条目: {bib_entry}")
# 输出: LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521(7553), 436–444. https://doi.org/10.1038/nature14539
# 从BibTeX文件导入
from batch_import import BatchImporter
importer = BatchImporter()
references = importer.import_from_file('references.bib', format='bibtex')
# 添加到文献库
for ref in references:
manager.add_to_library(ref)
# 转换为IEEE格式
from format_converter import FormatConverter
converter = FormatConverter()
ieee_refs = converter.convert_references(
references=references,
from_style='bibtex',
to_style='ieee'
)
# 保存到文件
converter.save_to_file(ieee_refs, 'references_ieee.txt')
from citation_checker import CitationChecker
checker = CitationChecker()
# 加载论文和参考文献
with open('paper.txt', 'r') as f:
paper_text = f.read()
# 检查引用完整性
report = checker.check_paper(
document_text=paper_text,
bibliography_file='references.txt'
)
# 打印报告
print(f"总引用数: {report['total_citations']}")
print(f"参考文献数: {report['total_references']}")
print(f"不一致项: {report['inconsistencies']}")
if report['missing_in_bibliography']:
print("\n文中引用但参考文献列表缺失:")
for item in report['missing_in_bibliography']:
print(f" - {item}")
if report['unused_references']:
print("\n参考文献列表中未使用的条目:")
for item in report['unused_references']:
print(f" - {item}")
# 添加中文文献
chinese_ref = {
'type': 'journal_article',
'title': '深度学习在自然语言处理中的应用',
'authors': [
{'family': '张', 'given': '三'},
{'family': '李', 'given': '四'}
],
'container_title': '计算机学报',
'year': 2023,
'volume': 46,
'issue': 3,
'page': '1-15',
'language': 'zh'
}
manager.add_to_library(chinese_ref)
# 生成GB/T 7714格式引用
bib_entry = manager.format_bibliography_entry(
chinese_ref,
style='gbt7714'
)
print(f"GB/T 7714格式: {bib_entry}")
# 输出: 张三, 李四. 深度学习在自然语言处理中的应用[J]. 计算机学报, 2023, 46(3): 1-15.
【English】
from academic_citation_skill import AcademicCitationManager
manager = AcademicCitationManager()
# Fetch reference information
ref = manager.fetch_reference_by_doi("10.1038/nature14539")
# Generate in-text citation
in_text = manager.generate_citation(
reference_id=ref['id'],
style='apa',
citation_type='author-date'
)
print(f"In-text citation: {in_text}")
# Output: (LeCun, Bengio, & Hinton, 2015)
# Generate bibliography entry
bib_entry = manager.format_bibliography_entry(ref, style='apa')
print(f"Bibliography entry: {bib_entry}")
# Output: LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521(7553), 436–444. https://doi.org/10.1038/nature14539
# Import from BibTeX file
from batch_import import BatchImporter
importer = BatchImporter()
references = importer.import_from_file('references.bib', format='bibtex')
# Add to library
for ref in references:
manager.add_to_library(ref)
# Convert to IEEE format
from format_converter import FormatConverter
converter = FormatConverter()
ieee_refs = converter.convert_references(
references=references,
from_style='bibtex',
to_style='ieee'
)
# Save to file
converter.save_to_file(ieee_refs, 'references_ieee.txt')
from citation_checker import CitationChecker
checker = CitationChecker()
# Load paper and references
with open('paper.txt', 'r') as f:
paper_text = f.read()
# Check citation integrity
report = checker.check_paper(
document_text=paper_text,
bibliography_file='references.txt'
)
# Print report
print(f"Total citations: {report['total_citations']}")
print(f"Total references: {report['total_references']}")
print(f"Inconsistencies: {report['inconsistencies']}")
if report['missing_in_bibliography']:
print("\nCited in text but missing from bibliography:")
for item in report['missing_in_bibliography']:
print(f" - {item}")
if report['unused_references']:
print("\nUnused entries in bibliography:")
for item in report['unused_references']:
print(f" - {item}")
# Add Chinese reference
chinese_ref = {
'type': 'journal_article',
'title': '深度学习在自然语言处理中的应用',
'authors': [
{'family': '张', 'given': '三'},
{'family': '李', 'given': '四'}
],
'container_title': '计算机学报',
'year': 2023,
'volume': 46,
'issue': 3,
'page': '1-15',
'language': 'zh'
}
manager.add_to_library(chinese_ref)
# Generate GB/T 7714 format citation
bib_entry = manager.format_bibliography_entry(
chinese_ref,
style='gbt7714'
)
print(f"GB/T 7714 format: {bib_entry}")
# Output: 张三, 李四. 深度学习在自然语言处理中的应用[J]. 计算机学报, 2023, 46(3): 1-15.
【中文】
DOI使用
文献类型选择
中文文献处理
引用完整性
格式转换注意事项
API限制
元数据准确性
格式兼容性
性能考虑
Q: 如何获取文献的DOI？ A: DOI通常可以在以下位置找到：
Q: 支持哪些文献导入格式？ A: 当前支持：
Q: 如何处理没有DOI的文献？ A: 可以使用以下方法：
Q: 转换格式后需要人工检查吗？ A: 是的，强烈建议：
【English】
DOI Usage
Document Type Selection
Chinese Literature Processing
Citation Integrity
Format Conversion Considerations
API Limitations
Metadata Accuracy
Format Compatibility
Performance Considerations
Q: How to get the DOI of a reference? A: DOIs can usually be found in the following locations:
Q: Which bibliography import formats are supported? A: Currently supported:
Q: How to handle references without DOI? A: You can use the following methods:
Q: Is manual review needed after format conversion? A: Yes, strongly recommended:
【中文】
【English】
【中文】 本项目采用 MIT 许可证。详见 LICENSE 文件。
【English】 This project is licensed under MIT License. See LICENSE file for details.
【中文】
【English】
【中文】 感谢Crossref提供免费的DOI元数据查询服务，以及所有为学术引用管理工具做出贡献的开发者。特别感谢开源社区在citation-style-language等项目上的贡献。
【English】 Thanks to Crossref for providing free DOI metadata query services, and all developers who have contributed to academic citation management tools. Special thanks to the open source community for their contributions to projects like citation-style-language.