经 AI Skill Hub 精选评估,学术技能大全 获评「强烈推荐」。这款Agent工作流在功能完整性、社区活跃度和易用性方面表现出色,AI 评分 8.0 分,适合有一定技术背景的用户使用。
学术技能大全 是一套完整的 AI Agent 自动化工作流方案。通过可视化的节点编排,将复杂的多步骤任务拆解为清晰的自动化流程,实现全程无人值守的智能处理。支持与数百种外部服务和 API 无缝集成,适合构建数据处理管线、业务自动化和 AI 辅助决策系统。
学术技能大全 是一套完整的 AI Agent 自动化工作流方案。通过可视化的节点编排,将复杂的多步骤任务拆解为清晰的自动化流程,实现全程无人值守的智能处理。支持与数百种外部服务和 API 无缝集成,适合构建数据处理管线、业务自动化和 AI 辅助决策系统。
# 方式一:pip 安装(推荐)
pip install awesome-academic-skills
# 方式二:虚拟环境安装(推荐生产环境)
python -m venv .venv
source .venv/bin/activate # Windows: .venv\Scripts\activate
pip install awesome-academic-skills
# 方式三:从源码安装(获取最新功能)
git clone https://github.com/O0000-code/awesome-academic-skills
cd awesome-academic-skills
pip install -e .
# 验证安装
python -c "import awesome_academic_skills; print('安装成功')"
# 命令行使用
awesome-academic-skills --help
# 基本用法
awesome-academic-skills input_file -o output_file
# Python 代码中调用
import awesome_academic_skills
# 示例
result = awesome_academic_skills.process("input")
print(result)
# awesome-academic-skills 配置文件示例(config.yml) app: name: "awesome-academic-skills" debug: false log_level: "INFO" # 运行时指定配置文件 awesome-academic-skills --config config.yml # 或通过环境变量配置 export AWESOME_ACADEMIC_SKILLS_API_KEY="your-key" export AWESOME_ACADEMIC_SKILLS_OUTPUT_DIR="./output"
English · 中文
</div>
Manage, format, and verify references — library integrations, citation styles, and the DOI/metadata checks that keep a bibliography honest.
No License · net.<br>The most complete APA-7th formatter: 28 source types, down to tweets and datasets. Ships no open-source license.MIT.<br>Formats Chinese academic references to GB/T 7714 and completes BibTeX from Chinese/English titles. Fills a real gap for CN scholars that Western citation tools ignore. Narrow by design; bundles helper scripts and an agent.No License · net.<br>Automated academic-citation skill over the Semantic Scholar API: resolve, verify, and format citations into a manuscript. Useful, focused citation helper; single-skill and tied to S2 coverage, and its license needs confirming.No License · net.<br>Human-in-the-loop BibTeX fetcher pulling every field from the authoritative publisher (ACL/PMLR/arXiv/NeurIPS, DBLP fallback) not the LLM, with provenance per entry and a stop-to-ask on ambiguous venues. Great for de-hallucinating .bib; no license.LGPL-3.0 · net.<br>Generates BibTeX from a DOI, PMID, arXiv ID, or paper title by querying CrossRef, PubMed, arXiv, Semantic Scholar and ChemRxiv. Mature, tested, PyPI-published; the agent skill is a thin wrapper over a solid CLI. LGPL-3.0.Read deeply and ask questions of papers — summarization, multi-document synthesis, and grounded question-answering over a corpus.
Suite dailypaper-skills - by huangkiki · Apache-2.0 · net.<br>A daily paper-reading pipeline built from Agent Skills: arXiv search, PDF parsing, key-point extraction, Zotero sync, and structured notes plus a daily digest. Cohesive and popular; Chinese-first docs, so non-CJK users lean on the code.Suite scholar-skill - by eesjgong · MIT · net.<br>Obsidian-centric academic-reading suite: deep-reads papers and links them into an evolving personal knowledge base with reflection prompts. A strong pick for Obsidian users; it reads and organizes rather than discovering papers.MIT · net.<br>Extracts benchmarks, datasets, metrics and baselines from a paper, or surveys what benchmarks fit a research direction; arXiv-source-first with Obsidian notes. Uses an unscoped Bash(*) allowlist — broad shell access.Plugin claude-paper - by alaliqing · MIT · net hooks.<br>Paper-study plugin that turns a PDF or arXiv link into a learning environment: parsed text, adaptive summaries/Q&A, runnable code demos and a KaTeX web viewer. Rich but heavy (Node/Nuxt/poppler deps); uses an unscoped Bash allowlist.MIT · net.<br>Deep-reads a single paper and produces high-quality, structured Obsidian-style research notes (claims, methods, takeaways) usable across Claude Code/Codex/Cursor. Great for building a notes vault; one-paper-at-a-time, not corpus-scale.MIT.<br>Analyzes a paper in five depth modes (quick to presentation-with-figures) with anti-hallucination source tagging and method extraction tuned to paper type. Good for structured reading/summaries; single-skill, no external data sources of its own.MIT.<br>Reads STEM papers through Heilmeier's Catechism, surfacing the core problem, approach, cost and impact for a fast big-picture take. A focused, opinionated comprehension aid; great for triaging papers, less so for deep line-by-line reading.MIT.<br>Deep paper-reading skill with two modes: paragraph-level close reading with agentic Q&A, and a 20+-dimension analysis run by parallel agents, emitting Obsidian-ready notes. Strong for deconstructing single papers; not a search or citation tool.No License · net.<br>The most engineering-heavy deep-research skill — verifies each claim against its source via CrossRef and persists citations across compaction. No license file.MIT · net.<br>Two-phase deep research that gates on your approval of the outline before any search runs — the human-in-the-loop answer to fire-and-forget agents.Plugin llm-wiki - by nvk · MIT · net.<br>LLM-compiled knowledge bases for agents: parallel multi-agent research, thesis-driven investigation, source ingestion, then a queryable wiki. Good for building a durable, cited knowledge base from many sources.MIT · net.<br>Drives Google NotebookLM from Claude for cited answers and free artifacts (podcast, mind map, study guide) — an unofficial cookie-based client that can break.MIT.<br>Bridges Claude Code to Google NotebookLM so you get source-grounded, citation-backed answers drawn only from your uploaded documents. Excellent for grounded Q&A over a personal corpus; depends on a Google NotebookLM account and the notebooklm-mcp.MIT · net.<br>Translates arXiv LaTeX papers into Chinese while preserving formatting (formulas, figures, citations), from an arXiv ID or local source. The format-preserving approach beats plain-text translation; scope is narrow (arXiv LaTeX, EN to zh).MIT · net.<br>Turns course slides and PDFs into dense, exam-ready LaTeX cheatsheets. Narrow and student-focused (study/teaching rather than original research), but well-targeted and popular; good for condensing course material, not for literature work.NOASSERTION.<br>Turns YouTube/Bilibili lecture videos into structured LaTeX/PDF notes via transcript extraction, key-frame detection, and smart-cropped screenshots. Novel and useful for students; quality depends on transcript availability, and the license is murky.MIT · net.<br>arXiv ID in, citation-anchored Python implementation out — each module tagged to the paper section it implements, ambiguities flagged rather than guessed. Great for paper reproduction; not a general code generator.AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
✅ CC0 1.0 — 公共领域贡献,完全放弃版权,无任何使用限制。
AI Skill Hub 点评:学术技能大全 的核心功能完整,质量优秀。对于自动化工程师和运维人员来说,这是一个值得纳入个人工具库的选择。建议先在非生产环境试用,再逐步推广。
| 原始名称 | awesome-academic-skills |
| 原始描述 | 开源AI工作流:An index of Claude and agent skills for academic work, from literature search to。⭐6 · Python |
| Topics | academicworkflowpythonawesome-list |
| GitHub | https://github.com/O0000-code/awesome-academic-skills |
| License | CC0-1.0 |
| 语言 | Python |
收录时间:2026-06-13 · 更新时间:2026-06-16 · License:CC0-1.0 · AI Skill Hub 不对第三方内容的准确性作法律背书。
选择 Agent 类型,复制安装指令后粘贴到对应客户端