Deep web research skill using Firecrawl MCP. Use when estimating market size (TAM/SAM/SOM), analyzing trends, or scraping competitors. For competitor teardowns, see competitor-analysis.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
| Tool | Purpose |
|---|---|
firecrawl_search | Web search for market data, trends, competitors |
firecrawl_scrape | Extract structured data from specific pages |
firecrawl_extract | Pull pricing, features, positioning from competitor sites |
firecrawl_map | Discover all pages on a competitor's site |
Before starting any research, clarify with the user:
Execute these searches in parallel:
firecrawl_search: "{industry} market size 2024 2025 report"
firecrawl_search: "{industry} SaaS revenue growth forecast"
firecrawl_search: "{niche} total addressable market"
Structure the output as:
| Metric | Value | Source | Confidence |
|---|---|---|---|
| TAM | $X B | {source} | High/Med/Low |
| SAM | $X M | {source} | High/Med/Low |
| SOM | $X M | {source} | High/Med/Low |
For each competitor identified:
firecrawl_extract:
urls: ["{competitor_url}"]
prompt: "Extract: company name, tagline, pricing tiers, key features, target audience, tech stack indicators"
schema: {
name: string,
tagline: string,
pricing: [{ tier: string, price: string, features: [string] }],
target_audience: string,
key_features: [string]
}
Compile into a comparison matrix:
| Feature | Competitor A | Competitor B | Competitor C | Our Opportunity |
|---|
Search for:
firecrawl_search: "{industry} trends 2025 2026"
firecrawl_search: "{niche} emerging technology"
firecrawl_search: "{industry} pain points users complain"
Categorize trends as:
Save all research to the relevant PLAYBOOK.md directory as RESEARCH.md with:
아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.
아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.
Generates and maintains changelogs following Keep a Changelog format. Use when updating release notes, finishing tasks, or tagging versions. For version bumps, see semantic-versioning.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Structured competitor teardown skill. Use when scraping competitor sites, extracting pricing/features/positioning, or analyzing strategic gaps. For general research, see market-research.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Enforces Conventional Commits format for git commit messages. Use when formatting commits or validating message structures. For git commands, see git-control.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Creates an llms.txt file from scratch based on repository structure. Use when configuring LLM discovery files. For updating existing configurations, see update-llms.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Intelligent README.md generation prompt that analyzes project documentation structure and creates comprehensive repository documentation. Scans ./ directory files and creates a README.md file for the project. Only used when creating a new repository. or when the README.md file is missing.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Standardizes git operations, branch management, and disaster recovery. Use when committing, branching, or resolving conflicts. For commit formatting, see conventional-commits.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.