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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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29 de maio de 2026 às 11:00
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web-search
description
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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