firecrawl-lead-research は何をしますか？
Firecrawlを使用して、会議前にリードインテリジェンスの概要を作成します。ユーザーが営業電話、パートナーシップ会議、投資家との会話、顧客インタビューの前に、企業調査、人物調査、最新ニュース、トーキングポイント、ペインポイント、またはアウトリーチ準備を必要とする場合に使用します。
Firecrawlを使用して、会議前にリードインテリジェンスの概要を作成します。ユーザーが営業電話、パートナーシップ会議、投資家との会話、顧客インタビューの前に、企業調査、人物調査、最新ニュース、トーキングポイント、ペインポイント、またはアウトリーチ準備を必要とする場合に使用します。
このスキルは、FirecrawlのWebスクレイピングおよびデータ抽出機能を活用して、会議や商談前に包括的なリサーチブリーフを自動生成します。企業や人物の調査、最新ニュースの収集、効果的なトーキングポイントや顧客のペインポイントの特定を支援し、営業、パートナーシップ、投資家ミーティング、顧客インタビューなど、あらゆるアウトリーチ活動の準備を効率化します。Firecrawlは高度なクローリング技術を用いて関連情報を収集・整理し、時間のかかる手動リサーチを大幅に削減します。このスキルは、Claude CodeやClineなどのFirecrawl統合をサポートするAIエージェントプラットフォームで利用可能であり、ユーザーは自然言語でリサーチ対象を指定するだけで、構造化された洞察を得ることができます。
npx skills add https://github.com/firecrawl/firecrawl-workflows/tree/main/skills/firecrawl-lead-researchInstalled? Explore more 研究＆データ分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
Firecrawlを使用して、会議前にリードインテリジェンスの概要を作成します。ユーザーが営業電話、パートナーシップ会議、投資家との会話、顧客インタビューの前に、企業調査、人物調査、最新ニュース、トーキングポイント、ペインポイント、またはアウトリーチ準備を必要とする場合に使用します。
This repo contains 15 individual skills — each has its own dedicated page.
Extract structured company lists from directories with Firecrawl. Use for scraping YC, Crunchbase, Product Hunt, G2, startup directories, category directories, or custom company databases into JSON, CSV, CRM-ready lists, or research tables.
Monitor competitor pricing, features, changelogs, dashboards, and product changes with Firecrawl. Use for recurring competitive intelligence, pricing tier extraction, feature change tracking, or structured competitor alerts.
Pull metrics from analytics dashboards and internal web tools with Firecrawl browser. Use when the user needs dashboard reporting, cross-platform metric summaries, authenticated analytics extraction, date-range reports, or structured metrics from web dashboards.
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.
Walk through a product's key flows with Firecrawl browser and produce a structured UX/product walkthrough. Use for signup, onboarding, pricing, docs, dashboard, product demo prep, UX teardown, and first-run experience analysis.
Build a knowledge base from web content with Firecrawl. Use for local reference docs, RAG-ready chunks, fine-tuning datasets, documentation mirrors, topic corpora, or LLM-ready markdown organized from web sources.
Ingest public or authenticated knowledge bases and docs portals with Firecrawl browser. Use for JS-heavy docs, login-gated portals, paginated help centers, support knowledge bases, or structured JSON/markdown extraction from documentation sites.
Generate structured lead lists from prospect databases and web directories with Firecrawl browser. Use for finding prospects by role, company type, industry, stage, location, technologies, or other criteria and exporting CRM-ready JSON or CSV.
Extract market, financial, earnings, industry, and company metrics with Firecrawl. Use when the user asks for market research, industry trends, public company data, financial comparisons, earnings research, or structured market reports.
QA test a live website with Firecrawl browser and scrape evidence. Use when the user wants exploratory QA, form testing, navigation/link checks, responsive checks, performance observations, bug reports, or a pre-launch quality review.
Find and synthesize research papers, whitepapers, PDFs, technical reports, and academic sources with Firecrawl. Use when the user wants a literature review, paper summary, research landscape, or sourced synthesis from PDFs and scholarly/industry publications.
Audit a website's SEO with Firecrawl. Use when the user asks for an SEO audit, metadata and heading review, sitemap/site-structure analysis, keyword opportunities, competitor SERP comparison, or prioritized search optimization recommendations.
Research products across the web with Firecrawl and produce a shopping recommendation or cart-ready summary. Use when the user wants to compare products, find the best option, evaluate reviews, respect budget/preferences, or shop with a saved browser session.
Extract any website's design system into an agent-ready DESIGN.md using Firecrawl scrape evidence. Use when the user wants colors, fonts, spacing, components, layout patterns, or brand/UI guidance from a website so AI agents can create new websites, clone a look, or build pages inspired by that design.
Run outcome-focused Firecrawl workflows that produce deliverables such as research reports, SEO audits, QA reports, lead lists, knowledge bases, website design systems, and other structured web-data artifacts. Use when the user wants Firecrawl to complete a business, marketing, product, or creative workflow rather than merely scrape a page or integrate API calls into code.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.