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closedloop-technologies AI Skills

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浏览 closedloop-technologies 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。

作者统计

已收录技能

10

收录技能的仓库 Stars 合计

60

仓库 Forks

0

平均每个技能的仓库 Stars

6

同一仓库中的多个技能可能共享 Stars,合计包含重复仓库数据。

10 个技能

全部技能

GitHub

perplexity-sonar

closedloop-technologies

Use Perplexity Sonar API for real-time, citation-backed answers. Ideal for up-to-date information and quick synthesis. Requires PERPLEXITY_API_KEY

GitHub

exa-research

closedloop-technologies

Use Exa AI for neural search, content retrieval, and automated deep research. Requires EXA_API_KEY.

GitHub

openai-deep-research

closedloop-technologies

Use OpenAI's Deep Research API (o3 / o4 models) to automate multi-step, citation-backed research workflows.

GitHub

stanford-storm

closedloop-technologies

Run Stanford STORM (knowledge-storm) to generate comprehensive, Wikipedia-style articles with citations. Requires LLM and Search API keys (Bing or You.com).

GitHub

jina-ai

closedloop-technologies

Use Jina AI APIs for converting URLs to LLM-friendly Markdown (Reader) and searching the web (Search).

GitHub

tavily-search

closedloop-technologies

Use Tavily Search API for optimized, real-time web search results for RAG. Requires TAVILY_API_KEY.

GitHub

gpt-researcher

closedloop-technologies

Run the GPT Researcher autonomous agent to generate comprehensive deep research reports. Requires LLM and Search API keys (e.g., OPENAI_API_KEY, TAVILY_API_KEY).

GitHub

xai-grok

closedloop-technologies

Use xAI Grok API with Agent Tools for real-time web and X (Twitter) search and synthesis. Requires XAI_API_KEY.

GitHub

smolagents

closedloop-technologies

Use Hugging Face Smolagents framework for code-based agentic research with tool support. Supports multiple LLM providers and web search.

GitHub

langchain-deep-research

closedloop-technologies

Run LangChain Open Deep Research agent for iterative web research and comprehensive reports. Requires LLM API keys and search API (e.g., OPENAI_API_KEY, TAVILY_API_KEY).

默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。