Open Skills Logo
Open Skills

exa-search

由 Exa 驱动的网页工具包，针对科学与技术内容进行了优化。需要用户进行网页搜索或抓取/提取 URL 内容时使用此技能。包含：网页搜索（语义检索、研究、获取最新信息——支持可选的研究论文类别与学术领域过滤）以及 URL 提取（批量获取网页、文章、学术 PDF）。当用户希望通过 category=research paper 进行高质量搜索或学术筛选时，可在与网页相关的任务中使用此技能。触发条件：当用户请求搜索、查找、抓取页面或提取文章时。

作者

@K-Dense-AI

分类

开发工具

安装

热度:0

下载并解压到你的 skills 目录

复制命令，发送给智能体自动安装：

下载并安装这个技能 https://openskills.cc/api/download?slug=k-dense-ai-skills-exa-search&locale=zh&source=copy
name:exa-searchdescription:Web toolkit powered by Exa, tuned for scientific and technical content. Use this skill when the user needs to search the web or fetch/extract URL content. Covers: web search (semantic lookups, research, current info — with optional research-paper category and academic domain filtering) and URL extraction (fetching pages, articles, academic PDFs in batch). Use this skill for web-related tasks when the user wants high-quality search or scholarly filtering via category=research paper. Triggers on requests to search, look up, fetch a page, or extract an article.compatibility:Requires exa-py Python SDK, an EXA_API_KEY, and internet access.license:MITrequired_environment_variables:[object Object]metadata:[object Object]

Exa Web Toolkit

A skill for web-powered research tasks backed by Exa: web search and URL extraction. Exa's index combines high-quality keyword and semantic retrieval, which makes it well-suited to scientific, technical, and conceptual queries.

Routing — pick the right capability

Read the user's request and match it to one of the capabilities below. Read the corresponding reference file for detailed instructions before running commands.

User wants to...CapabilityWhere
Look something up, research a topic, find current infoWeb Searchreferences/web-search.md
Fetch content from a specific URL (webpage, article, PDF)Web Extractreferences/web-extract.md
Install or authenticateSetupBelow

Decision guide

  • Default to Web Search for topic lookups, research questions, or "what is X?" queries. When the topic is scientific or technical, pass --category "research paper" to bias toward scholarly sources, and/or an academic --include-domains allowlist. See references/web-search.md for the two-pass academic strategy.

  • Use Web Extract when the user provides a URL or asks you to read/fetch a specific page. Prefer this over the built-in WebFetch for batch extraction (multiple URLs in one call) and for academic PDFs.

    • Academic source priority

    For technical or scientific queries, prefer academic and scientific sources:

  • Peer-reviewed journal articles and conference proceedings over blog posts or news

  • Preprints (arXiv, bioRxiv, medRxiv) when peer-reviewed versions aren't available

  • Institutional and government sources (NIH, WHO, NASA, NIST) over commercial sites

  • Primary research over secondary summaries

    • Two levers to steer Exa toward scholarly content:

  • --category "research paper" biases retrieval toward scholarly sources.

  • --include-domains with a scholarly allowlist (arxiv.org, nature.com, pubmed.ncbi.nlm.nih.gov, etc.) restricts the domain pool.

    • Combine both for strictly academic results. See references/web-search.md for the full pattern.

    When citing academic sources, include author names and publication year where available (e.g., Smith et al., 2025) in addition to the standard citation format. If a DOI is present, prefer the DOI link.

    Setup

    This skill uses the exa-py Python SDK. The scripts in scripts/ declare their dependencies via PEP 723 inline metadata, so you can run them directly with uv run without a separate install step:

    uv run --with exa-py python "$SKILL_PATH/scripts/exa_search.py" --help

    If you prefer a persistent install:

    uv pip install "exa-py>=1.14.0"

    Authentication

    All commands read the API key from the EXA_API_KEY environment variable. Get your Exa API key at dashboard.exa.ai/api-keys.

    First, check if a .env file exists in the project root and contains EXA_API_KEY. If so, load it:

    dotenv -f .env run -- uv run --with exa-py python "$SKILL_PATH/scripts/exa_search.py" "your query"

    If dotenv isn't available, install it: pip install python-dotenv[cli] or uv pip install python-dotenv[cli].

    If there's no .env, export the key for the session:

    export EXA_API_KEY="your-key"

    Verify by running any script with --help — it will exit cleanly if the key is set and auth-check runs only when a real query is made.

    Tracking header

    Every script in this skill sets the x-exa-integration request header to k-dense-ai--scientific-agent-skills so Exa can attribute usage from the K-Dense AI scientific-agent-skills repo to this integration. Do not remove or rename this header when adapting the scripts.

    Files in this skill

  • SKILL.md — this file (routing and setup)

  • references/web-search.md — detailed web search reference with academic strategy

  • references/web-extract.md — URL content extraction reference

  • scripts/exa_search.py — CLI wrapper around client.search_and_contents

  • scripts/exa_extract.py — CLI wrapper around client.get_contents