search
このスキルはウェブ検索に使用され、大規模言語モデル(LLM)の消費に最適化された関連結果を取得します。手動設定は不要で、初回実行時にOAuthを介して認証されます。
npx skills add tavily-ai/skills --skill searchBefore / After 効果比較
1 组大規模言語モデル(LLM)に関連するウェブ検索結果を提供するには、通常、開発者が複雑な検索APIを手動で設定し、認証プロセスを処理し、結果をフィルタリングしてフォーマットする必要があります。このプロセスは煩雑で時間がかかり、LLMアプリケーションへの迅速な統合が困難です。
searchスキルは、LLMのウェブ検索統合を簡素化します。手動設定は不要で、初回実行時にOAuth認証を通じて、LLMの利用に最適化された関連結果を自動的に取得できます。これにより、LLMアプリケーションの開発が大幅に加速され、情報取得の効率が向上します。
description SKILL.md
search
Search Skill
Search the web and get relevant results optimized for LLM consumption.
Authentication
The script uses OAuth via the Tavily MCP server. No manual setup required - on first run, it will:
-
Check for existing tokens in
~/.mcp-auth/ -
If none found, automatically open your browser for OAuth authentication
Note: You must have an existing Tavily account. The OAuth flow only supports login — account creation is not available through this flow. Sign up at tavily.com first if you don't have an account.
Alternative: API Key
If you prefer using an API key, get one at https://tavily.com and add to ~/.claude/settings.json:
{
"env": {
"TAVILY_API_KEY": "tvly-your-api-key-here"
}
}
Quick Start
Using the Script
./scripts/search.sh '<json>'
Examples:
# Basic search
./scripts/search.sh '{"query": "python async patterns"}'
# With options
./scripts/search.sh '{"query": "React hooks tutorial", "max_results": 10}'
# Advanced search with filters
./scripts/search.sh '{"query": "AI news", "time_range": "week", "max_results": 10}'
# Domain-filtered search
./scripts/search.sh '{"query": "machine learning", "include_domains": ["arxiv.org", "github.com"], "search_depth": "advanced"}'
Basic Search
curl --request POST \
--url https://api.tavily.com/search \
--header "Authorization: Bearer $TAVILY_API_KEY" \
--header 'Content-Type: application/json' \
--data '{
"query": "latest developments in quantum computing",
"max_results": 5
}'
Advanced Search
curl --request POST \
--url https://api.tavily.com/search \
--header "Authorization: Bearer $TAVILY_API_KEY" \
--header 'Content-Type: application/json' \
--data '{
"query": "machine learning best practices",
"max_results": 10,
"search_depth": "advanced",
"include_domains": ["arxiv.org", "github.com"]
}'
API Reference
Endpoint
POST https://api.tavily.com/search
Headers
Header Value
Authorization
Bearer <TAVILY_API_KEY>
Content-Type
application/json
Request Body
Field Type Default Description
query
string
Required
Search query (keep under 400 chars)
max_results
integer
10
Maximum results (0-20)
search_depth
string
"basic"
ultra-fast, fast, basic, advanced
topic
string
"general"
Search topic (general only)
time_range
string
null
day, week, month, year
start_date
string
null
Return results after this date (YYYY-MM-DD)
end_date
string
null
Return results before this date (YYYY-MM-DD)
include_domains
array
[]
Domains to include (max 300)
exclude_domains
array
[]
Domains to exclude (max 150)
country
string
null
Boost results from a specific country (general topic only)
include_raw_content
boolean
false
Include full page content
include_images
boolean
false
Include image results
include_image_descriptions
boolean
false
Include descriptions for images
include_favicon
boolean
false
Include favicon URL for each result
Response Format
{
"query": "latest developments in quantum computing",
"results": [
{
"title": "Page Title",
"url": "https://example.com/page",
"content": "Extracted text snippet...",
"score": 0.85
}
],
"response_time": 1.2
}
Search Depth
Depth Latency Relevance Content Type
ultra-fast
Lowest
Lower
NLP summary
fast
Low
Good
Chunks
basic
Medium
High
NLP summary
advanced
Higher
Highest
Chunks
When to use each:
-
ultra-fast: Real-time chat, autocomplete -
fast: Need chunks but latency matters -
basic: General-purpose, balanced -
advanced: Precision matters (default recommendation)
Examples
Domain-Filtered Search
curl --request POST \
--url https://api.tavily.com/search \
--header "Authorization: Bearer $TAVILY_API_KEY" \
--header 'Content-Type: application/json' \
--data '{
"query": "Python async best practices",
"include_domains": ["docs.python.org", "realpython.com", "github.com"],
"search_depth": "advanced"
}'
Search with Full Content
curl --request POST \
--url https://api.tavily.com/search \
--header "Authorization: Bearer $TAVILY_API_KEY" \
--header 'Content-Type: application/json' \
--data '{
"query": "React hooks tutorial",
"max_results": 3,
"include_raw_content": true
}'
Tips
-
Keep queries under 400 characters - Think search query, not prompt
-
Break complex queries into sub-queries - Better results than one massive query
-
Use
include_domainsto focus on trusted sources -
Use
time_rangefor recent information -
Filter by
score(0-1) to get highest relevance results
Weekly Installs11.8KRepositorytavily-ai/skillsGitHub Stars95First SeenJan 25, 2026Security AuditsGen Agent Trust HubWarnSocketPassSnykWarnInstalled onopencode11.1Kgemini-cli10.9Kcodex10.9Kgithub-copilot10.8Kkimi-cli10.6Kamp10.6K
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