Agent skill

ai-agent-skills

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Install this agent skill to your Project

npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/documents/ai-agent-skills

SKILL.md

Web Search Skill


🌐 Raia Web Search Skill Documentation

The Web Search Skill enables AI agents on the Raia platform to access real-time information from the internet, allowing them to provide up-to-date, relevant, and context-aware answers. This dynamic capability helps bridge gaps in static training data and ensures more responsive and informed conversations across a variety of use cases.


🧠 Purpose

Use the Web Search Skill when agents need to:

  • Retrieve live or recent data not found in internal sources
  • Fact-check statements or verify details
  • Answer time-sensitive questions (e.g. news, pricing, events)
  • Reference public information to supplement domain-specific knowledge

šŸ” Key Capabilities

Feature Description
Live Web Lookup Real-time querying via OpenAI’s Web Search integration
Contextual Inference Automatically determines if a search is necessary based on the prompt
Integrated Response Generation Blends search results with model knowledge for seamless, natural answers
Trusted Source Ranking Prioritizes reliable and high-authority sources

āš™ļø How It Works

The Web Search Skill uses OpenAI’s Web Search tool, which is intelligently invoked by the AI agent when needed—no manual trigger required.

  1. Autonomous Triggering
    When a user asks a question, the agent evaluates whether it can confidently answer using its internal training or previously provided documents. If not, it autonomously performs a web search.
  2. Query Execution
    The agent sends the query through OpenAI’s Web Search tool, retrieving real-time results from the public internet.
  3. Integrated Reasoning
    Instead of quoting web results directly, the AI blends them into its working context, alongside its trained knowledge and your custom system instructions. This creates a holistic understanding that powers a highly accurate and fluent answer.
  4. Final Output
    The agent returns a response that is informative, timely, and conversational, seamlessly enriched with insights from the web—without disrupting the tone or logic of the overall interaction.

āœ… Users don’t need to know when a search happens—it’s fully automated and invisible unless explicitly requested.


āœ… Best Practices

  • Use cases that benefit from Web Search:
    • Current events, financial updates, market trends
    • Business operating hours, availability, or weather
    • Product reviews, Reddit discussions, social buzz
    • Verifying claims or identifying breaking changes
  • When NOT to rely on it:
    • Secure/internal-only knowledge
    • Complex topics requiring proprietary documents
    • Questions where exact citations are mandatory (use scraping or static sources instead)

🧪 Example Use Cases

User Prompt What the Agent Does
ā€œWhat’s the latest on the AI copyright lawsuit?ā€ Searches news sites for updates and summarizes current events
ā€œAre there any delays at TPA airport today?ā€ Checks public travel alerts and news feeds for live status
ā€œWhat are people saying about Apple’s new headset?ā€ Aggregates sentiment and highlights key Reddit or blog discussions
ā€œIs Google Cloud still offering their AI free tier?ā€ Looks up the most recent product/pricing page from official sources

🧰 Integration Notes (for Developers)

  • Web Search is baked into the Raia agent runtime and does not require custom API setup.
  • It plays well with other skills like Scraping, Document Retrieval, and Memory.
  • Developers can encourage or suppress Web Search through agent instructions if finer control is needed.

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