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From rival-search
Competitive intelligence for companies, products, markets, or websites. Maps sites, analyzes products and pricing, tracks news and sentiment, profiles the competitive landscape, and produces SWOT analysis. Use when analyzing competitors, evaluating markets, or auditing web presence.
npx claudepluginhub damionrashford/rivalsearch-pluginHow this skill is triggered — by the user, by Claude, or both
Slash command
/rival-search:competitive-intelThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
Conduct competitive intelligence on: **$ARGUMENTS**
Gathers competitive intelligence via web scraping, LinkedIn, social media, GitHub, and Glassdoor. Analyzes leadership, market positioning, and strategic threats.
Conducts competitive intelligence on a target product, identifying rivals, feature gaps, pricing changes, and customer sentiment from Reddit and review sites. Outputs a Competitive Intel Brief.
Analyzes competitors in real-time using Bright Data web scraping to uncover pricing, features, reviews, hiring, and strategy. Useful for market research and competitive analysis.
Share bugs, ideas, or general feedback.
Conduct competitive intelligence on: $ARGUMENTS
The argument may be a company name, product name, market segment, or URL. Follow these steps precisely using RivalSearchMCP tools. Report progress after each step.
Use web_search:
Establish the target's identity, website, and determine if this is a single entity or a market segment.
Use map_website to explore the target's web presence:
If they have documentation: 3. url: <target_website>, mode: "docs", max_pages: 10
Record page hierarchy, navigation patterns, technology signals, and content volume.
Use content_operations to retrieve and analyze critical pages:
Extract ecosystem links:
Use web_search three times:
Identify the broader market context, key players, and competitive positioning.
Use news_aggregation twice:
Use web_search:
Use social_search twice:
What do users praise? Complain about? What alternatives do they mention?
Use github_search twice:
Use web_search:
Use scientific_research:
Use tables for player comparisons. Format as clean markdown with inline citations Source Name.