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Web Search

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axoviq-ai
web_search

Search the web and ingest results as wiki pages

Overview

Publisheraxoviq-ai
Repositorysynthadoc
Skill nameweb_search
Stars
1.2K
Forks
124
Bundled files
5
LicenseAGPL-3.0-or-later
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by axoviq-ai on GitHub. Read the source before you install it.

Installation

Install the Web Search AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/axoviq-ai/synthadoc.git /tmp/synthadoc
mkdir -p .claude/skills
cp -r /tmp/synthadoc/synthadoc/skills/web_search .claude/skills/web_search
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Web Search in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Web Search on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Web Search is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Web Search Skill

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.

Setup

1. Install the dependency:

bash
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):

bash
# 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):

bash
export SYNTHADOC_WEB_SEARCH_MAX_RESULTS=10

Standalone usage

python
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.

Intent prefixes

The skill strips a leading intent phrase before sending the query to Tavily:

InputQuery sent to Tavily
search for: RAG evaluationRAG evaluation
find on the web: LLM benchmarksLLM benchmarks
look up quantum computingquantum computing
youtube: Karpathy transformersKarpathy 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

Domain filtering

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

  • scripts/main.pyWebSearchSkill: intent parsing, domain filtering, returns child_sources in metadata
  • scripts/fetcher.py — thin async wrapper around AsyncTavilyClient

Assets

  • assets/search-providers.json — search provider registry (currently Tavily)

Using with full Synthadoc

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.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Web Search AI skill do?

Search the web and ingest results as wiki pages

Why use Web Search on TypingMind?

Because you install it once and use it with any model. Web Search is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Web Search in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/axoviq-ai/synthadoc/tree/main/synthadoc/skills/web_search. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Web Search?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Web Search?

As many as you like. As long as a model supports skills, you can use Web Search with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Web Search AI skill free?

Yes. It is published on GitHub by axoviq-ai under the AGPL-3.0-or-later license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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