Skywork Search

Organization

SkyworkAI

Skywork Search

Search the web for real-time information using the Skywork web search API. Use this skill whenever the user needs up-to-date information from the internet — for example, researching a topic, looking up recent events, finding facts or statistics, gathering material for a document or presentation, or answering questions that require current data. Also trigger when the user says things like "search for" / "搜索" / "検索" / "검색", "look up" / "查询" / "調べる" / "조회하다", "find information about" / "查找关于……的信息" / "……に関する情報を探す" / "…에 대한 정보를 찾다", "what's the latest on" / "……最新进展" / "……の最新情報" / "…의 최신 소식", or any request that implies needing information beyond your training data.

Overview

Publisher	SkyworkAI
Repository	`Skywork-Skills`
Skill name	`Skywork Search`
Stars	205
Forks	30
Bundled files	4
License	MIT
Links	Skill source Repository Homepage

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.
4 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by SkyworkAI on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/SkyworkAI/Skywork-Skills/tree/main/skywork-search
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.

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/SkyworkAI/Skywork-Skills.git /tmp/Skywork-Skills
mkdir -p .claude/skills
cp -r /tmp/Skywork-Skills/skywork-search .claude/skills/skyworkai-skywork-search

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Skywork 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 Skywork 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 Skywork 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

Search the web for real-time information via the Skywork search API. This skill lets you run up to 3 queries in a single invocation and returns structured results with source URLs and content snippets.

When to use

The user asks you to research a topic or find current information
You need up-to-date facts, statistics, or news to answer a question
Another task (writing a report, creating a PPT, drafting a document) needs web research as a preliminary step
The user explicitly asks to search or look something up

Prerequisites

API Key Configuration (Required First)

This skill requires a SKYWORK_API_KEY to be configured in OpenClaw.

If you don't have an API key yet, please visit: https://skywork.ai

For detailed setup instructions, see: references/apikey-fetch.md

How to use

Run the bundled script from this skill's scripts/ directory:

bash
python3 <skill-path>/scripts/web_search.py "query1" ["query2"] ["query3"]

Pass 1–3 search queries as positional arguments
Results are saved to individual text files in a temporary directory
The script prints the file paths to stdout so you can read them

Crafting good queries

Search quality depends heavily on query phrasing. A few tips:

Be specific: "Tesla Q4 2025 revenue" works better than "Tesla financials"
Use natural language: The API handles full questions well — "What is the current population of Tokyo?" is fine
Split broad topics: If the user wants a comprehensive overview, break it into 2–3 focused queries rather than one vague one
Include time context when relevant: "best Python web frameworks 2026" rather than just "best Python web frameworks"

Reading results

After running the script, read the output files. Each file contains:


query: <the original query>

[result-1] <source URL>
<content snippet>

[result-2] <source URL>
<content snippet>
...

Synthesize the results into a clear answer for the user. Always cite sources when presenting factual information — include the URLs from the results so the user can verify.

Example workflow

User asks: "What are the latest developments in quantum computing?"

Run the search with focused queries:

bash
python3 <skill-path>/scripts/web_search.py \
  "quantum computing breakthroughs 2026" \
  "quantum computing industry news latest"

Read the result files
Synthesize findings into a clear, sourced summary for the user

Limitations

Maximum 3 queries per invocation (the script caps it)
Each query has a 30-second timeout
Results depend on the Skywork search API availability

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 Skywork Search AI skill do?

Why use Skywork Search on TypingMind?

Because you install it once and use it with any model. Skywork 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 Skywork Search in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/SkyworkAI/Skywork-Skills/tree/main/skywork-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 Skywork 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 Skywork Search?

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

Is the Skywork Search AI skill free?

Yes. It is published on GitHub by SkyworkAI under the MIT 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Web Search Skill

When to use

Prerequisites

API Key Configuration (Required First)

How to use

Crafting good queries

Reading results

Example workflow

Limitations

Bundled files

Frequently asked questions

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