competitor-intel
Competitor intelligence system. Research competitors across web, Reddit, Twitter/X, LinkedIn, and blogs. Build deep competitor profiles, monitor content and positioning changes, track what gets traction, and identify competitive gaps. Covers data collection, content tracking, and strategy analysis. Pure research skill — uses web search, web fetch, and optionally Apify for social scraping. No scripts required.
npx skills add gooseworks-ai/goose-skills --skill competitor-intel --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Competitor Intelligence Research and monitor competitors across multiple channels. Build profiles, track changes, and translate competitor moves into strategic recommendations. **Three layers:** 1. **Data collection** — Research competitor activity across web, Reddit, Twitter/X, LinkedIn, and blogs 2. **Content tracking** — What competitors publish, which topics get engagement, where you have content gaps 3. **Strategy analysis** — What competitor moves mean for your positioning, pricing, and messaging ## When to Use - "Research [competitor] for me" - "What are our competitors doing?" - "Build a competitor profile for [company]" - "Monitor competitor content and positioning" - "Competitive landscape analysis" ## Phase 0: Intake 1. **Which competitors?** — Ask the user for 2-5 competitor names + websites 2. **Your company context** — What do you sell? Who's your ICP? What's your positioning? 3. **Focus areas** — Everything, or specific focus? (pricing, content, product, messaging, hiring) 4. **Depth** — Quick scan (30 min) or deep dive (comprehensive)? ## Phase 1: Competitor Profile Research For each competitor, research across these dimensions using web search and web fetch: ###
- When to Use
- Phase 0: Intake
- Phase 1: Competitor Profile Research
- Company Overview
- Product & Positioning
- Content & Marketing
- Customer Evidence
- Competitive Signals
- Optional: Social Monitoring (requires APIFYAPITOKEN)
- Phase 2: Competitor Profile Output
- Phase 3: Competitive Landscape Summary
- Phase 4: Ongoing Monitoring (Optional)
- Cost
- Dependencies
What does the competitor-intel skill do?
Competitor intelligence system. Research competitors across web, Reddit, Twitter/X, LinkedIn, and blogs. Build deep competitor profiles, monitor content and positioning changes, track what gets traction, and identify competitive gaps. Covers data collection, content tracking, and strategy analysis. Pure research skill — uses web search, web fetch, and optionally Apify for social scraping. No scripts required.
How do I install it?
Run `npx skills add gooseworks-ai/goose-skills --skill competitor-intel --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From gooseworks-ai/goose-skills, a repository with 1,091 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.