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AI-optimized web search via Tavily API when no URL is provided. Returns clean AI-ready snippets for current info and news. Triggers on: "search the web", "look up online", "find recent information", "web search". NOT for known URLs, use web-fetch.

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armory
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Claude Code

$ npx -y skills add Mathews-Tom/armory --skill tavily --agent claude-code

SKILL.md

tavily.SKILL.md
name: tavily
description: 'AI-optimized web search via Tavily API when no URL is provided. Returns clean AI-ready snippets for current info and news. Triggers on: "search the web", "look up online", "find recent information", "web search". NOT for known URLs, use web-fetch.'
metadata:
  version: 1.1.1
  category: research
  tags: [web-search, research, real-time, ai-optimized]
  difficulty: beginner

Tavily Search

Web search and URL content extraction powered by Tavily API. Returns clean, structured results optimized for AI consumption — no HTML noise, no cookie banners, no pagination.

When to Use Tavily vs Other Tools

| Situation | Tool | Reason | | ------------------------------------ | ---------------------------------- | ---------------------------------------- | | Need current information on a topic | `search.mjs` | Tavily aggregates and ranks live results | | Need news from the last N days | `search.mjs --topic news --days N` | News mode filters recency | | Have a specific URL, need full text | `extract.mjs` | Extracts clean article content from URL | | Need documentation for a library | `search.mjs --deep` | Deep mode covers docs sites thoroughly | | Need a static resource already known | direct fetch or read | Skip Tavily if no live lookup needed | | Need multiple competing perspectives | `search.mjs -n 10` | Increase result count for breadth |

Scripts

Both scripts exist at `scripts/` and require `TAVILY_API_KEY` in the environment.

  • `scripts/search.mjs` — query-based web search
  • `scripts/extract.mjs` — full content extraction from a URL

Search

node {baseDir}/scripts/search.mjs "query"
node {baseDir}/scripts/search.mjs "query" -n 10
node {baseDir}/scripts/search.mjs "query" --deep
node {baseDir}/scripts/search.mjs "query" --topic news
node {baseDir}/scripts/search.mjs "query" --topic news --days 3

Search Options

| Option | Default | Description | | ----------------- | --------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------- | | `-n <count>` | 5 | Number of results to return (max: 20). Increase for broader coverage. | | `--deep` | off | Advanced search mode — slower but more comprehensive. Use for complex research questions, technical deep-dives, or when standard results are insufficient. | | `--topic <topic>` | `general` | `general` for standard search; `news` for current events filtered by recency. | | `--days <n>` | — | Only valid with `--topic news`. Limits results to articles published in the last n days. |

Extract Content from URL

node {baseDir}/scripts/extract.mjs "https://example.com/article"

Use when you already have a URL and need the full page content — Tavily strips navigation, ads, and boilerplate, returning structured article text.

Output Format

Search results return a JSON array. Each result contains:

[
  {
    "title": "Article or page title",
    "url": "https://source.com/path",
    "content": "Clean text snippet (AI-optimized excerpt)",
    "score": 0.92
  }
]

`score` is Tavily's relevance ranking (0–1). Higher is more relevant. When parsing results, use `content` for summarization and `url` for attribution. Do not treat `content` as the full article — use `extract.mjs` on the URL if complete text is needed.

Extract output returns a single object:

{
  "url": "https://source.com/path",
  "raw_content": "Full extracted page text..."
}

Error Handling

| Error | Cause | Resolution | | ----------------------------- | ---------------------------- | -------------------------------------------------------------------- | | `TAVILY_API_KEY not set` | Environment variable missing | Set `TAVILY_API_KEY` before running. Get a key at https://tavily.com | | `401 Unauthorized` | Invalid API key | Verify the key value; regenerate at Tavily dashboard if needed | | `429 Too Many Requests` | Rate limit hit | Reduce request frequency; free tier allows 1000 API credits/month | | Empty results array `[]` | No matches found | Broaden or rephrase the query; try `--deep` for niche topics | | `ETIMEDOUT` / timeout | Network or API latency | Retry once; `--deep` searches take longer (up to 30s) | | Extract returns empty content | Page blocks scrapers | Use a different source or fall back to a manual fetch approach |

Limitations

  • **Rate limits**: Free tier is 1000 API credits/month. Each search costs 1 credit; `--deep` costs more.
  • **Content freshness**: Results reflect Tavily's index; very recent content (last few hours) may not appear in `general` mode. Use `--topic news` for recency-sensitive queries.
  • **Result quality**: Tavily optimizes for AI-readable content but cannot guarantee factual accuracy. Verify critical claims from primary sources.
  • **Paywalled content**: Articles behind paywalls return only the publicly accessible excerpt.
  • **Non-text content**: PDFs, images, and media pages extract poorly or not at all.
  • **Language**: Best results for English queries. Other languages are supported but result qua
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Questions about tavily.

Which coding agents can use tavily?
tavily installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.