菜单
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.
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。
基于 SOC 职业分类
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.
Structured competitor teardown skill. Use when scraping competitor sites, extracting pricing/features/positioning, or analyzing strategic gaps. For general research, see market-research.
Enforces Conventional Commits format for git commit messages. Use when formatting commits or validating message structures. For git commands, see git-control.
Creates an llms.txt file from scratch based on repository structure. Use when configuring LLM discovery files. For updating existing configurations, see update-llms.
Standardizes git operations, branch management, and disaster recovery. Use when committing, branching, or resolving conflicts. For commit formatting, see conventional-commits.
Structured validation framework that scores product ideas. Use when evaluating problem severity, willingness-to-pay, or founder-market fit. For market intelligence, see market-research.
| name | market-research |
| description | 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. |
| 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: