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name: Skywork Search description: 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 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. metadata: openclaw: requires: bins: - python3 env: - SKYWORK_API_KEY primaryEnv: SKYWORK_API_KEY

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 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?"

1. Run the search with focused queries:

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

2. Read the result files
3. 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