web-research

name	web_research
description	Search and synthesize information from multiple web sources into structured reports
version	1.0.0
author	Hive Team
icon	🔍
category	web
permissions	["internet_access"]
dependencies	[]
tools	["web_search","web_fetch"]
triggers	["investigá sobre","research","buscá información de","find information about","qué es","what is","explicame","explain","últimos avances","latest advances","tendencias de","trends in","información actualizada","current information"]
preferred_agents	[]
steps	[{"step":1,"action":"web_search","instruction":"Search for main topic using clear and concise query (max 6 words). Include year if relevant.","params":{"query":"main topic keywords","numResults":8},"output":"raw_results"},{"step":2,"action":"web_fetch","instruction":"Fetch the 2-3 most relevant URLs from step 1 to get full content","params":{"urls":"top 2-3 URLs from search"},"output":"detailed_content"},{"step":3,"action":"web_search","instruction":"If gaps exist, do second targeted search with refined query","params":{"query":"refined query for gaps"},"output":"complementary_results"},{"step":4,"action":"synthesize","instruction":"Combine all gathered information into structured response: summary, key points, sources","output":"final_report"}]
rules	["Always do at least 2 searches before concluding","Never invent data — only use information actually found","If no results found, notify user and suggest 2-3 alternative queries","Cite all sources at end with full URLs","Prioritize recent content (<1 year) unless historical context requested","Cross-reference claims across multiple independent sources"]
output_format	{"structure":"markdown","sections":["summary","key_points","sources"],"max_length":"500 words unless user requests more"}
examples	[{"user_input":"investigá sobre los últimos avances en IA","expected_behavior":"Search 'latest AI advances 2025' → fetch top 2-3 results → synthesize into structured report"},{"user_input":"qué es un transformer en machine learning","expected_behavior":"Search 'transformer machine learning explained' → fetch educational content → return clear summary"},{"user_input":"buscá tendencias de quantum computing","expected_behavior":"Search 'quantum computing trends 2025' → fetch authoritative sources → compile 5-7 key trends"}]

Web Research Skill

Cuándo se Activa

Esta skill se activa cuando el usuario necesita información actualizada de internet, verificar datos, o investigar temas específicos.

Herramientas Disponibles

Tool	Qué hace	Cuándo usarla
web_search	Busca en internet, devuelve títulos, URLs, snippets	Búsqueda inicial, encontrar fuentes
web_fetch	Descarga contenido completo de URL (HTML→Markdown)	Profundizar en resultados específicos

Workflow

1. Búsqueda inicial → web_search({ query, numResults: 8 })
2. Fetch contenido → web_fetch({ urls: top 2-3 })
3. Búsqueda complementaria → Segundo search si hay gaps
4. Síntesis → summary + key points + sources

Mejores Prácticas

• Queries específicos (máx 6 palabras)
• Mínimo 2-3 fuentes independientes
• Priorizar contenido reciente (<1 año)
• Citas con URLs completas

Errores a Evitar

• ❌ Inventar datos no encontrados
• ❌ Concluir con una sola búsqueda
• ❌ No verificar fecha de fuentes
• ❌ Copiar contenido literal (usar paráfrasis)