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web-search
Search the web and ingest results as wiki pages
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Search the web and ingest results as wiki pages
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Extract text from PDF documents
Extract text from Microsoft Word documents
Extract text from images using a vision LLM
Ingest Markdown and plain text files
Extract text from Microsoft PowerPoint presentations
Fetch and extract text from web URLs
| name | web_search |
| version | 1.0 |
| description | Search the web and ingest results as wiki pages |
| entry | {"script":"scripts/main.py","class":"WebSearchSkill"} |
| triggers | {"extensions":[],"intents":["search for","find on the web","look up","web search","browse","youtube","查找","搜索","网络搜索","在网上查","查一下"]} |
| requires | ["tavily-python"] |
| author | axoviq.com |
| license | AGPL-3.0-or-later |
Accepts a natural language query, calls the Tavily AI search API, and returns the top matching URLs. Your agent receives those URLs and decides what to do with them — fetch each one, display them, pass them to another skill, etc.
1. Install the dependency:
pip install tavily-python
2. Set your Tavily API key (free tier: 1,000 searches/month — sign up at https://tavily.com, no credit card required):
# macOS / Linux
export TAVILY_API_KEY="tvly-your-key-here"
# Windows (Command Prompt)
set TAVILY_API_KEY=tvly-your-key-here
# Windows (PowerShell)
$env:TAVILY_API_KEY = "tvly-your-key-here"
3. Optional — cap the number of results (default: 20):
export SYNTHADOC_WEB_SEARCH_MAX_RESULTS=10
import asyncio
from synthadoc.skills.web_search.scripts.main import WebSearchSkill
skill = WebSearchSkill()
async def main():
result = await skill.extract("search for: transformer architecture papers")
urls = result.metadata["child_sources"] # list[str] — top matching URLs
query = result.metadata["query"] # "transformer architecture papers"
print(f"Found {len(urls)} URLs for '{query}':")
for url in urls:
print(" ", url)
asyncio.run(main())
result.text is always empty — the skill is a discovery step that returns
URLs, not page content. Pass the URLs to the url or youtube skill (or
your own HTTP client) to fetch content.
The skill strips a leading intent phrase before sending the query to Tavily:
| Input | Query sent to Tavily |
|---|---|
search for: RAG evaluation | RAG evaluation |
find on the web: LLM benchmarks | LLM benchmarks |
look up quantum computing | quantum computing |
youtube: Karpathy transformers | Karpathy transformers (YouTube only) |
搜索: 深度学习架构 | 深度学习架构 |
YouTube-specific prefixes (youtube:, search youtube:, youtube video:,
etc.) restrict the Tavily search to youtube.com and youtu.be.
CJK intent phrases supported: 查找, 搜索, 网络搜索, 在网上查, 查一下
A built-in blocklist skips sites that block automated HTTP clients:
reddit.com, medium.com, quora.com, twitter.com/x.com,
linkedin.com, wikipedia.org, IEEE Xplore, ACM DL, and common
subscription-only academic publishers.
If SYNTHADOC_WIKI_ROOT is set, the skill also loads
$SYNTHADOC_WIKI_ROOT/.synthadoc/blocked_domains.json (a JSON array of
domain strings) to extend the blocklist at runtime.
scripts/main.py — WebSearchSkill: intent parsing, domain filtering,
returns child_sources in metadatascripts/fetcher.py — thin async wrapper around AsyncTavilyClientassets/search-providers.json — search provider registry (currently Tavily)When running inside Synthadoc, the Orchestrator reads child_sources from
the result metadata and automatically enqueues each URL as a separate ingest
job, which are then processed by the url or youtube skill. No additional
setup is required beyond the env vars above.