tavily-best-practices skillA
tavily-best-practices is agent-read markdown (skill) from ethanyoq/skill-hub: Build production-ready Tavily integrations with best practices baked in. Reference documentation for developers using coding assistants (Claude Code, Cursor, etc.) to implement web search, content extraction, crawling, and research in agentic workflows, RAG systems, or autonomous agents..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Tavily
Tavily is a search API designed for LLMs, enabling AI applications to access real-time web data.
## Installation
**Python:**
```bash
pip install tavily-python
```
**JavaScript:**
```bash
npm install @tavily/core
```
See **[references/sdk.md](references/sdk.md)** for complete SDK reference.
## Client Initialization
```python
from tavily import TavilyClient
# Uses TAVILY_API_KEY env var (recommended)
client = TavilyClient()
#With project tracking (for usage organization)
client = TavilyClient(project_id="your-project-id")
# Async client for parallel queries
from tavily import AsyncTavilyClient
async_client = AsyncTavilyClient()
```
## Choosing the Right Method
**For custom agents/workflows:**
| Need | Method |
|------|--------|
| Web search results | `search()` |
| Content from specific URLs | `extract()` |
| Content from entire site | `crawl()` |
| URL discovery from site | `map()` |
**For out-of-the-box research:**
| Need | Method |
|------|--------|
| End-to-end research with AI synthesis | `research()` |
## Quick Reference
### search() - Web Search
```python
response = client.search(
query="quantum computing breakthroughs", # Keep under 400 chars
…Read the whole file at its exact version.
How to install
mdr add ethanyoq/skill-hub/tavily-best-practices@git:20260919.e8b19bfmdr add ethanyoq/skill-hub/tavily-best-practices@sha256:8972384d52e22c76Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_dmi4v2ecutx7loda)
1 badge views in 30 days
Versions
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (4377 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
ethanyoq/skill-hub · 10 stars · license MIT · pushed 2026-09-19 · branch mine
API
GET https://markdownregistry.com/api/v1/artifacts/art_dmi4v2ecutx7loda GET https://markdownregistry.com/api/v1/resolve?ref=ethanyoq/skill-hub/tavily-best-practices GET https://markdownregistry.com/api/v1/blob/8972384d52e22c76b82928c309f8faff3bfa2f68c4e4d7ad3ce1fd882d99048e
Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.