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Executes Tavily AI web operations via unified Python CLI. Use when searching the web, extracting content from URLs, crawling websites, or mapping site structure.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Creates and configures Claude Code hooks for lifecycle automation. Use when implementing PreToolUse validation, PostToolUse formatting, PermissionRequest auto-approve, custom notifications, session management, or deterministic agent control.
Creates and configures Claude Code agent files (.claude/agents/*.md) with YAML frontmatter, tool permissions, model selection, and system prompt structure. Use when building new agents, configuring agent frontmatter, designing discovery triggers, setting tool permissions, writing system prompts, or selecting agent models.
Creates and configures Claude Code slash commands with YAML frontmatter, argument handling, and tool permissions. Use when building new commands, adding $ARGUMENTS or $1-$N parameters, configuring allowed-tools, organizing command namespaces, or fixing command failures.
Queries Context7 library documentation via unified Python CLI. Use when resolving library IDs, fetching API references, code examples, or conceptual guides for any programming library or framework.
Orchestrates two-round parallel agent research for comprehensive topic exploration. Use when conducting research, exploring complex topics, gathering multi-faceted information, or synthesizing findings from parallel investigation streams.
Synthesizes research findings into design decisions via codebase investigation. Use when (1) translating research into implementation approaches, (2) selecting between design alternatives, (3) executing after /research or deep-research, or (4) preparing input for /plan phase.
| name | tavily-tools |
| type | complex |
| depth | base |
| description | Executes Tavily AI web operations via unified Python CLI. Use when searching the web, extracting content from URLs, crawling websites, or mapping site structure. |
Dictum: Command-specific arguments enforce correct invocation.
Execute Tavily AI web operations through unified Python CLI.
[IMPORTANT] search requires --query; extract requires --urls; crawl/map require --url. 1Password injects API key automatically.
# Search
uv run .claude/skills/tavily-tools/scripts/tavily.py search --query "Vite 7 new features"
uv run .claude/skills/tavily-tools/scripts/tavily.py search --query "React 19" --topic news
uv run .claude/skills/tavily-tools/scripts/tavily.py search --query "Effect-TS" --search-depth advanced --max-results 20
# Extract content from URLs
uv run .claude/skills/tavily-tools/scripts/tavily.py extract --urls "https://example.com"
uv run .claude/skills/tavily-tools/scripts/tavily.py extract --urls "https://a.com,https://b.com" --format text
# Crawl website
uv run .claude/skills/tavily-tools/scripts/tavily.py crawl --url "https://docs.effect.website"
uv run .claude/skills/tavily-tools/scripts/tavily.py crawl --url "https://nx.dev" --max-depth 3 --max-breadth 50
# Map site structure
uv run .claude/skills/tavily-tools/scripts/tavily.py map --url "https://nx.dev"
uv run .claude/skills/tavily-tools/scripts/tavily.py map --url "https://effect.website" --max-depth 2 --limit 200
Commands return: {"status": "success|error", ...}.
| [INDEX] | [CMD] | [RESPONSE] |
|---|---|---|
| [1] | search | {query, results[], images[], answer} |
| [2] | extract | {urls[], results[], failed[]} |
| [3] | crawl | {base_url, results[], urls_crawled} |
| [4] | map | {base_url, urls[], total_mapped} |