菜单
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.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, passive voice, negative parallelisms, and filler phrases.
Manage Todoist tasks, projects, labels, filters, sections, comments, reminders, and workspaces via the `td` CLI. Use when the user wants to view, create, update, complete, or organize Todoist items, or mentions tasks, inbox, today, upcoming, projects, labels, or filters.
Extract clean markdown from any URL, including JavaScript-rendered SPAs. Use this skill whenever the user provides a URL and wants its content, says "scrape", "grab", "fetch", "pull", "get the page", "extract from this URL", or "read this webpage". Handles JS-rendered pages, multiple concurrent URLs, and returns LLM-optimized markdown. Use this instead of WebFetch for any webpage content extraction.
Automated content creation pipeline for business growth. Creates blog posts, landing pages, email sequences, social media content, and video scripts with 5-dimensional quality diagnosis, 12-signal authenticity audit, headline impact matrix, and content substance scoring. Use when the user needs content marketing, blog posts, email sequences, copywriting, video scripts, or says 'write content', 'blog post', 'email sequence', 'content calendar', 'marketing copy', 'video script', or 'hook'.
Build the actual product — from landing page to deployed MVP with payment integration, QA testing, and post-deploy canary monitoring. Handles code generation, deployment, database setup, authentication, Stripe/payment integration, systematic QA protocol, and production health scoring. Use when the user needs to build something, deploy a product, set up payments, create a landing page, or says 'build this', 'deploy', 'create MVP', 'set up payments', or 'ship it'.
Main entry point for the Show Me The Money business automation suite. Routes to specialized skills for building and running a 24/7 automated business from scratch. Use when the user wants to start a business, automate operations, generate revenue, find product ideas, set up marketing, or run any business function autonomously. Also use when the user says 'show me the money', 'make money', 'start a business', 'automate my business', or 'build a company'.
基于 SOC 职业分类
| 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}] |
Use this when the user wants a sourced research report, not raw search results.
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.
Use Firecrawl search and scrape through the CLI or equivalent tool surface.
Avoid re-scraping URLs already returned with full content from a search-with-scrape result.
If appropriate, use sub-agents or equivalent parallel task runners by research angle:
Each researcher should return claims, source URLs, source quality notes, and uncertainty.
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]