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academic-research

Search academic papers and conduct literature reviews using OpenAlex API (free, no key needed). Use when the user needs to find scholarly papers by topic/author/DOI, explore citation chains, get structured paper metadata (title, authors, abstract, citations, DOI, open access URL), fetch full text of open access papers, or conduct automated literature reviews with theme identification and synthesis. Triggers on requests involving academic search, paper lookup, citation analysis, literature review

作者: admin | 来源: ClawHub
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V 1.0.0
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academic-research

# Academic Research Search 250M+ academic works via OpenAlex. No API key required. Built by [Topanga](https://topanga.ludwitt.com) — AI Research Consultant ## Quick Start ### Search papers by topic ```bash python3 scripts/scholar-search.py search "transformer architectures" --limit 10 ``` ### Search by author ```bash python3 scripts/scholar-search.py author "Yann LeCun" --limit 5 ``` ### Look up by DOI ```bash python3 scripts/scholar-search.py doi "10.1038/s41586-021-03819-2" ``` ### Get citation chain (papers that cite a work) ```bash python3 scripts/scholar-search.py citations "10.1038/s41586-021-03819-2" --direction both ``` ### Deep read (fetch abstract + full text when available) ```bash python3 scripts/scholar-search.py deep "10.1038/s41586-021-03819-2" ``` ### JSON output for programmatic use ```bash python3 scripts/scholar-search.py search "CRISPR" --json ``` ## Literature Review Workflow Automated multi-step literature review: ```bash python3 scripts/literature-review.py "algorithmic literacy in education" --papers 30 --output review.md ``` This will: 1. Search for papers across multiple query variations 2. Deduplicate and rank by relevance + citations 3. Identify thematic clusters 4. Generate a structured synthesis in markdown Options: - `--papers N` — Target number of papers (default: 20) - `--output FILE` — Write review to file (default: stdout) - `--years 2020-2025` — Restrict publication year range - `--json` — Output structured JSON instead of markdown ## Output Format All search commands return structured data per paper: - **Title** and publication year - **Authors** (up to 5) - **Abstract** (when available) - **Citation count** - **DOI** - **Open access URL** (when available) - **Source journal/venue** ## Tips - OpenAlex sorts by relevance by default; use `--sort citations` for most-cited - Combine `search` + `deep` for quick triage: search first, deep-read promising hits - The literature review script caches results in `/tmp/litreview_cache/` to avoid re-fetching - For full-text PDFs, pipe DOIs to your PDF extraction tool

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skill ai

通过对话安装

该技能支持在以下平台通过对话安装:

OpenClaw WorkBuddy QClaw Kimi Claude

方式一:安装 SkillHub 和技能

帮我安装 SkillHub 和 academic-research-1776419933 技能

方式二:设置 SkillHub 为优先技能安装源

设置 SkillHub 为我的优先技能安装源,然后帮我安装 academic-research-1776419933 技能

通过命令行安装

skillhub install academic-research-1776419933

下载 Zip 包

⬇ 下载 academic-research v1.0.0

文件大小: 8.89 KB | 发布时间: 2026-4-17 19:43

v1.0.0 最新 2026-4-17 19:43
- Initial release of the academic-research skill, enabling academic search and literature review via the OpenAlex API.
- Search and retrieve scholarly papers by topic, author, or DOI without requiring an API key.
- Access citation chains, paper metadata (title, authors, abstract, citations, DOI, open access URL), and full text for open access articles.
- Automated literature review workflow with theme identification, synthesis, and markdown or JSON output.
- Structured and programmable search output, supporting advanced filtering and export options for research analysis.

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