Skywork Search
Skywork Search (skywork) - Search the web for real-time information using the Skywork Search API. Use this skill whenever the user needs up-to-date informati...
Skywork AI
@gxcun17
What This Skill Does
Executes up to three web search queries per invocation via the Skywork Search API, returning structured results with source URLs and content snippets saved to text files.
Replaces manual web browsing for research by automating real-time search queries and delivering structured, citable results directly to your workflow.
When to Use It
- Research a specific topic like 'Tesla Q4 2025 revenue' for a report
- Look up recent news or events for a presentation or document
- Find current facts, statistics, or data to answer a user question
- Gather material for drafting a document or creating a slide deck
- Verify or supplement information that may be outdated in training data
Install
$ openclaw skills install @gxcun17/skywork-searchWeb 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 before use.
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:
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:
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
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