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skyworkai avatar

Skywork Search

skyworkai/skywork-skills
196 stars
Summary

This is a straightforward web search integration that hooks Claude up to the Skywork search API for pulling in real-time information. You can run up to three queries at once, and it dumps structured results with URLs and snippets into text files you read back. The documentation is solid on query crafting tips, like being specific and splitting broad topics into focused searches. You'll need to grab a Skywork API key first, which is the usual friction point. Honestly, the value here depends entirely on how current Skywork's index is and whether the API stays responsive. Good fit if you're building research workflows or need to supplement Claude's training data with fresh facts.

Install to Claude Code

npx -y skills add skyworkai/skywork-skills --skill "Skywork Search" --agent claude-code

Installs into .claude/skills of the current project.

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Files
SKILL.mdView on GitHub

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:

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
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Categories
Backend & APIsData Science & MLOffice & Documents
First SeenJun 3, 2026
View on GitHub

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