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web-search

Searches the web for information, facts, news, and comparisons. Use when the user says "search for", "look up", "Google this", "what's the latest on", "find me info about", "fact-check this", "compare X vs Y", "how much does X cost", "what's the weather", "is it true that", or when a question requires up-to-date data like prices, weather, events, or news.

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autonomous-ai/autonomous-intern
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2026년 5월 29일 11:00
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web-search
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Searches the web for information, facts, news, and comparisons. Use when the user says "search for", "look up", "Google this", "what's the latest on", "find me info about", "fact-check this", "compare X vs Y", "how much does X cost", "what's the weather", "is it true that", or when a question requires up-to-date data like prices, weather, events, or news.
# Web Search ## Quick Start Formulate focused search queries based on the user's information need. Cross-reference multiple sources for accuracy. Always cite sources with URLs. ## Workflow 1. Classify the request: factual lookup, real-time data, comparison, fact-check, or deep research 2. Formulate up to 3 distinct search queries tailored to the category 3. Execute searches, aggregate results, and cross-reference for consistency 4. Synthesize findings into a concise answer with source attribution 5. If results conflict, present all perspectives transparently ## Examples **Example 1: Factual Lookup** Input: "What is the current US GDP?" Output: The US GDP is approximately $28.8 trillion as of 2024, making it the largest economy in the world. Sources: - Bureau of Economic Analysis: https://www.bea.gov/data/gdp/gross-domestic-product - World Bank: https://data.worldbank.org/country/united-states **Example 2: Comparison** Input: "Compare PostgreSQL vs MySQL for a new web app" Output: | Feature | PostgreSQL | MySQL | |---|---|---| | ACID compliance | Full | Full (InnoDB) | | JSON support | Native JSONB | Basic JSON | | Replication | Streaming + logical | Built-in | | Best for | Complex queries, analytics | Simple reads, high throughput | Sources: - DB-Engines: https://db-engines.com/en/system/MySQL%3BPostgreSQL - PostgreSQL Docs: https://www.postgresql.org/docs/ ## Tools - Use `WebSearch` to execute queries and retrieve results - Use `WebFetch` to load full page content when snippets are insufficient - Use `Read` to access local files the user references as research context ## Error Handling - If no results found → inform the user honestly, suggest alternative search terms - If results conflict → present all perspectives with source attribution - If query is too vague → ask a clarifying question before searching - If a URL is unreachable → note it as unavailable, rely on other sources ## Connectors (Optional) This skill works standalone. When connected to external tools, it unlocks additional capabilities: | Connector | What it enables | |-----------|----------------| | ~~search engine | Access Google, Bing, or DuckDuckGo for real-time web results | | ~~notes | Save research findings directly to your note-taking app | | ~~email | Email search results and summaries to yourself or teammates | ## Rules - Prioritize reliable sources: official sites, peer-reviewed publications, reputable news - Never fabricate information when no results are found - Always cite sources with URLs - Respond in the language the user is using - Keep answers concise; provide depth only when explicitly requested - Maximum 3 search queries per request ## Output Template ``` [Answer Summary] Details: - [Key point 1 with context] - [Key point 2 with context] - [Key point 3 if applicable] Sources: - [Source title 1]: [url1] - [Source title 2]: [url2] ``` ## Related Skills - `exa-web-search` -- For deep semantic search using Exa.ai neural search engine - `document-summarizer` -- For summarizing lengthy articles found during research - `translator` -- For translating foreign-language search results
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