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tavily-cli

Web search, content extraction, crawling, and deep research via the Tavily CLI. Use this skill whenever the user wants to search the web, find articles, research a topic, look something up online, extract content from a URL, grab text from a webpage, crawl documentation, download a site's pages, discover URLs on a domain, or conduct in-depth research with citations. Also use when they say "fetch this page", "pull the content from", "get the page at https://", "find me articles about", or reference extracting data from external websites. This provides LLM-optimized web search, content extraction, site crawling, URL discovery, and AI-powered deep research — capabilities beyond what agents can do natively. Do NOT trigger for local file operations, git commands, deployments, or code editing tasks.

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EthanYoQ/Skill-hub
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Tavily CLI

Web search, content extraction, site crawling, URL discovery, and deep research. Returns JSON optimized for LLM consumption.

Run tvly --help or tvly <command> --help for full option details.

Prerequisites

Must be installed and authenticated. Check with tvly --status.

tavily v0.1.0

> Authenticated via OAuth (tvly login)

If not ready:

curl -fsSL https://cli.tavily.com/install.sh | bash

Or manually: uv tool install tavily-cli / pip install tavily-cli

Then authenticate:

tvly login --api-key tvly-YOUR_KEY
# or: export TAVILY_API_KEY=tvly-YOUR_KEY
# or: tvly login  (opens browser for OAuth)

Workflow

Follow this escalation pattern — start simple, escalate when needed:

  1. Search — No specific URL. Find pages, answer questions, discover sources.
  2. Extract — Have a URL. Pull its content directly.
  3. Map — Large site, need to find the right page. Discover URLs first.
  4. Crawl — Need bulk content from an entire site section.
  5. Research — Need comprehensive, multi-source analysis with citations.
NeedCommandWhen
Find pages on a topictvly searchNo specific URL yet
Get a page's contenttvly extractHave a URL
Find URLs within a sitetvly mapNeed to locate a specific subpage
Bulk extract a site sectiontvly crawlNeed many pages (e.g., all /docs/)
Deep research with citationstvly researchNeed multi-source synthesis

For detailed command reference, use the individual skill for each command (e.g., tavily-search, tavily-crawl) or run tvly <command> --help.

Output

All commands support --json for structured, machine-readable output and -o to save to a file.

tvly search "react hooks" --json -o results.json
tvly extract "https://example.com/docs" -o docs.md
tvly crawl "https://docs.example.com" --output-dir ./docs/

Tips

  • Always quote URLs — shell interprets ? and & as special characters.
  • Use --json for agentic workflows — every command supports it.
  • Read from stdin with - — echo "query" | tvly search -
  • Exit codes: 0 = success, 2 = bad input, 3 = auth error, 4 = API error.

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한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

EthanYoQ/Skill-hub112026년 10월 19일 업데이트

aact-bulk-trials

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使用 AACT (Aggregate Analysis of ClinicalTrials.gov) PostgreSQL 数据库进行大批量临床试验历史分析与数据挖掘。触发场景包括：AACT 查询、临床试验批量分析、PostgreSQL 试验数据、全量 NCT 检索、试验数据挖掘、clinical trials data warehouse、疾病领域全景分析、设计相似试验匹配、跨年度试验趋势聚合。本 skill 通过 SQL 接口处理百万级试验记录，支持云端公共 PostgreSQL 服务（aact-db.ctti-clinicaltrials.org）和每日 dump 本地还原两种连接方式，自动检测并优先使用本地高性能模式。

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

EthanYoQ/Skill-hub112026년 10월 19일 업데이트

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Use when work produces a deliverable, factual claim, dataset, code change, decision, publication, deployment, automation, or irreversible action whose failure would matter; when the user asks for a quality gate, acceptance criteria, QA, completeness, validation, audit, evidence, preflight, release readiness, or a definition of done; or before claiming completion on medium- or high-risk work. Automatically decide whether a formal gate is warranted, derive task-specific pass/fail criteria, gather evidence, and block unsupported completion. Make sure to use this skill even when the user does not say "quality gate" if consequential work needs acceptance criteria or completion evidence. Skip formal gating for trivial, reversible, low-impact requests.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

EthanYoQ/Skill-hub112026년 10월 19일 업데이트

add-changeset

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한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

EthanYoQ/Skill-hub112026년 10월 19일 업데이트

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Add a new competitor to the AI Visibility Tool Directory — researches the tool, generates data, takes a screenshot, and inserts into the codebase

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

EthanYoQ/Skill-hub112026년 10월 19일 업데이트

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한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

EthanYoQ/Skill-hub112026년 10월 19일 업데이트

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