Skywork Search Agent Skill
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.
Install
one command, takes just this skill from the repositorynpx skills add https://github.com/SkyworkAI/Skywork-Skills --skill Skywork SearchThe instruction itself
9 sections, as written by the authorWeb 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:
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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How to use it
Take skyworkai/skywork search from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.