Guides ongoing brand monitoring—detecting impersonation, trademark infringement, counterfeit products, and brand abuse before they cause harm. Complements brand-protection (reactive: report, takedown); this skill covers proactive monitoring setup and tool selection.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionbrand-monitoringExecute the skills CLI command in your project's root directory to begin installation:
Fetches brand-monitoring from kostja94/marketing-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate brand-monitoring. Access via /brand-monitoring in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Guides ongoing brand monitoring—detecting impersonation, trademark infringement, counterfeit products, and brand abuse before they cause harm. Complements brand-protection (reactive: report, takedown); this skill covers proactive monitoring setup and tool selection.
When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.
Check for project context first: If .claude/project-context.md or .cursor/project-context.md exists, read for brand name, official domain, and key assets.
Identify:
| Channel | Threats |
|---|---|
| Domains | Typosquatting, brand+ai, brand+app, impersonation sites |
| Social media | Fake accounts, impersonation, unauthorized use |
| Marketplaces | Counterfeit products, unauthorized sellers (Amazon, eBay, Temu) |
| Paid search | Competitors bidding on brand terms; impersonator ads |
| App stores | Fake apps, trademark misuse |
| Web | Phishing sites, spoofed pages |
| Method | Frequency |
|---|---|
| Search | Brand name + variants (brand+ai, brand+app, brand+official) |
| Google Alerts | Brand name, product names |
| Social search | X, LinkedIn, Instagram for brand mentions |
| Marketplace search | Amazon, eBay for counterfeit listings |
Tip: Document findings; escalate to brand-protection for takedown when infringement is confirmed.
| Capability | Description |
|---|---|
| AI detection | Machine learning, image recognition, NLP to detect abuse across channels |
| Multi-channel | Domains, social, marketplaces, paid search, dark web |
| Enforcement | Case management, takedown workflows, platform integrations |
| Trademark watch | USPTO, trademark office monitoring; litigation insights |
Vendor types: BrandShield, Tracer Protect, CompuMark, CounterFind—evaluate by coverage, enforcement rate, and budget.
| Level | Cadence | Use |
|---|---|---|
| Basic | Weekly search; Google Alerts | Low-risk; preventive |
| Standard | Daily alerts; monthly marketplace check | Moderate risk |
| Enterprise | Real-time monitoring; dedicated vendor | High-value brand; prior incidents |
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
kostja94/marketing-skills
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
ailabs-393/ai-labs-claude-skills
Registry listing for brand-monitoring matched our evaluation — installs cleanly and behaves as described in the markdown.
Useful defaults in brand-monitoring — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
We added brand-monitoring from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
brand-monitoring reduced setup friction for our internal harness; good balance of opinion and flexibility.
We added brand-monitoring from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Useful defaults in brand-monitoring — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
brand-monitoring reduced setup friction for our internal harness; good balance of opinion and flexibility.
We added brand-monitoring from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
brand-monitoring reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for brand-monitoring matched our evaluation — installs cleanly and behaves as described in the markdown.
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