Ejecuta cualquier Skill en Manus
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Ejecuta cualquier Skill en Manus con un clic

firecrawl-deep-research

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Actualizado29 de mayo de 2026 a las 09:07

Run multi-source deep research with Firecrawl. Use when the user asks to research a topic, compare perspectives, produce a sourced briefing, investigate a technical or market question, or synthesize web evidence across many sources.

Instalación

Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.

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Fuente

AmmarCodes

AmmarCodes/dotfiles

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Ocupaciones relacionadasSOC

Basado en la clasificación ocupacional SOC

Analistas de investigación de mercados y especialistas en marketingOperaciones empresariales y financieras·SOC 13-1161

SKILL.md

readonly

name	firecrawl-deep-research
description	Run multi-source deep research with Firecrawl. Use when the user asks to research a topic, compare perspectives, produce a sourced briefing, investigate a technical or market question, or synthesize web evidence across many sources.
license	ISC
metadata	{"author":"firecrawl","version":"0.1.0","homepage":"https://www.firecrawl.dev","source":"https://github.com/firecrawl/firecrawl-workflows"}
inputs	[{"name":"FIRECRAWL_API_KEY","description":"Firecrawl API key for hosted Firecrawl requests.","required":true}]

Firecrawl Deep Research

Use this when the user wants a sourced research report, not raw search results.

Onboarding Interview

Infer the topic, depth, and output format from context. If the topic is clear, proceed immediately.

Ask at most 1-3 concise questions only if blocked, such as the research topic, required depth, or a critical angle/source constraint.

Firecrawl Collection Plan

Use Firecrawl search and scrape through the CLI or equivalent tool surface.

Quick: search 3-5 queries and scrape 5-10 high-quality sources.
Thorough: search 5-10 queries from different angles and scrape 15-25 sources.
Exhaustive: search 10+ queries and scrape 25+ sources, including primary sources, research papers, expert views, and contrarian sources.

Avoid re-scraping URLs already returned with full content from a search-with-scrape result.

Parallel Work

If appropriate, use sub-agents or equivalent parallel task runners by research angle:

overview and definitions
technical or implementation details
market and industry context
contrarian views, risks, and limitations
primary sources and official docs

Each researcher should return claims, source URLs, source quality notes, and uncertainty.

Final Deliverable

Default structure:

# Deep Research: [Topic]

## Executive Summary
[2-3 paragraphs]

## Key Findings
[Numbered findings with source links]

## Detailed Analysis
[Themes, evidence, and synthesis]

## Contrarian Views And Risks
[Counterarguments, limitations, failure modes]

## Open Questions
[What remains uncertain]

## Sources
[Every URL used with a one-line note]

## Rerun Inputs
workflow: firecrawl-deep-research
topic: [topic]
depth: [quick/thorough/exhaustive]
output: [markdown/json/brief]

Quality Bar

Cite sources for factual claims.
Prefer primary sources when available.
Flag uncertainty and conflicting evidence.
Synthesize instead of listing scrape summaries.

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Firecrawl Deep Research

Use this when the user wants a sourced research report, not raw search results.

Onboarding Interview

Infer the topic, depth, and output format from context. If the topic is clear, proceed immediately.

Ask at most 1-3 concise questions only if blocked, such as the research topic, required depth, or a critical angle/source constraint.

Firecrawl Collection Plan

Use Firecrawl search and scrape through the CLI or equivalent tool surface.

Quick: search 3-5 queries and scrape 5-10 high-quality sources.

Thorough: search 5-10 queries from different angles and scrape 15-25 sources.

Exhaustive: search 10+ queries and scrape 25+ sources, including primary sources, research papers, expert views, and contrarian sources.

Avoid re-scraping URLs already returned with full content from a search-with-scrape result.

Parallel Work

If appropriate, use sub-agents or equivalent parallel task runners by research angle:

overview and definitions

technical or implementation details

market and industry context

contrarian views, risks, and limitations

primary sources and official docs

Each researcher should return claims, source URLs, source quality notes, and uncertainty.

Final Deliverable

Default structure:

# Deep Research: [Topic] ## Executive Summary [2-3 paragraphs] ## Key Findings [Numbered findings with source links] ## Detailed Analysis [Themes, evidence, and synthesis] ## Contrarian Views And Risks [Counterarguments, limitations, failure modes] ## Open Questions [What remains uncertain] ## Sources [Every URL used with a one-line note] ## Rerun Inputs workflow: firecrawl-deep-research topic: [topic] depth: [quick/thorough/exhaustive] output: [markdown/json/brief]

Quality Bar

Cite sources for factual claims.

Prefer primary sources when available.

Flag uncertainty and conflicting evidence.

Synthesize instead of listing scrape summaries.