When the user faces brand impersonation, fake websites, phishing sites, or trademark infringement. Also use when the user mentions "fake site," "impersonation," "phishing site," "trademark infringement," "domain squatting," or "brand abuse." For monitoring, use brand-monitoring.
npx skills add https://github.com/kostja94/marketing-skills --skill brand-protection
Guides discovery, reporting, and prevention of brand impersonation—fake websites, phishing sites, trademark infringement, and domain squatting. See domain-selection for defensive domain registration; trust-badges for official site verification signals; about-page for identity declaration.
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 it for brand name, official domain, and key assets.
Identify:
| Item | Action |
|------|--------|
| Full URLs | Document all key pages of the fake site |
| Screenshots | Homepage, product pages, logo, layout; include date/time |
| Comparison | Side-by-side: official vs fake (layout, logo, copy similarity) |
| WHOIS | Use ICANN Lookup for registrar, creation date, registrant |
| Hosting | IP lookup to identify hosting provider |
| Channel | Entry | Use Case |
|---------|-------|----------|
| Domain registrar | Abuse / Report Misuse on registrar site | Brand impersonation, trademark, fraud |
| Hosting provider | Same; submit abuse form | Hosting infringing content |
| Google Safe Browsing | Report Phishing | Phishing / impersonation risk |
| Google Trademark | Trademark Complaint or [email protected] | Trademark infringement in search; requires registered trademark |
| Bing Content Removal | Content Moderation Platform | Copyright/trademark; content removal from Bing |
| Payment processors | PayPal Resolution Center, Stripe support | If fake site accepts payments; report fraud |
| Social platforms | X, Facebook, Instagram abuse forms | If fake site is promoted or linked there |
| Google Ads / Microsoft Ads | Platform trademark complaint forms | If impersonator runs brand ads |
| DMCA | To hosting provider | Copyright infringement; images, copy, design copied |
| ICANN | DNS Abuse complaint | If registrar does not respond within reasonable time |
Report content: Include full URL, clear description of fraudulent activity, and all evidence (screenshots, logs).
Registrar vs hosting: Use ICANN Lookup for registrar. For hosting, use IP lookup (HostingCheckerOnline, HostingDetector, ipinfo.io) to find origin server—registrar may be Cloudflare while origin host is elsewhere; report to both.
Cloudflare as registrar: Use abuse.cloudflare.com or abuse form; select "Phishing & Malware" for impersonation. Email complaints are generally not processed; use the online form. Provide specific URLs of infringing pages.
Hosting detection: Sites behind Cloudflare CDN hide origin IP. Use reverse IP lookup or hosting detection tools to identify underlying host; submit abuse to that provider as well.
Parallel reporting: Submit to registrar, host, and Google Safe Browsing simultaneously; do not wait for one before others. Google trademark review takes 1–8 weeks.
| Option | When | Notes |
|--------|------|-------|
| Cease and desist | Trademark infringement | Lawyer-drafted; often first step |
| DMCA takedown | Copyrighted material copied | Images, copy, design; hosting providers typically comply |
| Consumer protection | Scam / fraud | FTC ReportFraud.ftc.gov (US) |
| Law enforcement | Financial loss, identity theft | IC3 (FBI) for cybercrime |
Place "Official website: [domain]" prominently:
Use trust-badges for verification signals. See about-page for identity declaration.
When users report "can't use after payment" but no record exists—likely paid on fake site:
| Tactic | Purpose |
|--------|---------|
| Brand search ads | Run Google Ads and Microsoft Ads on brand terms; ensure official site appears first for brand queries |
| SEO | Strengthen official site for branded queries; Organization schema, clear H1, meta tags. See schema-markup, title-tag |
| Social | Pinned post: "Only use [official-domain]. Beware of impersonation." |
| Phase | Focus |
|-------|-------|
| Immediate (Days 1–3) | Support template; site declaration; evidence collection |
| Short-term (Week 1–2) | Abuse reports; Google Safe Browsing; DMCA if applicable |
| Traffic (Week 2+) | Brand ads; SEO; social announcement |
| Ongoing | Monitoring; defensive registration if feasible |
Short-term (1–2 weeks): Evidence collection; abuse reports to registrar and host; Google Safe Browsing report; DMCA if applicable; add "Official website" on site.
Medium-term: Add impersonation guidance to domain-selection; official verification to trust-badges, about-page.
Long-term: Periodic search (brand + variants); brand monitoring (BrandShield, Doppel); defensive registration of variants.
Assess Kubernetes workloads and cluster configuration for AKS Automatic compatibility. Identifies incompatibilities, generates fixes, and guides migration from AKS Standard to AKS Automatic. WHEN: migrate to AKS Automatic, check AKS Automatic readiness, validate manifests for Automatic, assess cluster for Automatic compatibility, fix deployment for Automatic compatibility, identify AKS Automatic migration blockers, is my cluster ready for AKS Automatic.
Discovers available Azure OpenAI model capacity across regions and projects. Analyzes quota limits, compares availability, and recommends optimal deployment locations based on capacity requirements. USE FOR: find capacity, check quota, where can I deploy, capacity discovery, best region for capacity, multi-project capacity search, quota analysis, model availability, region comparison, check TPM availability. DO NOT USE FOR: actual deployment (hand off to preset or customize after discovery), quota increase requests (direct user to Azure Portal), listing existing deployments.
Interactive guided deployment flow for Azure OpenAI models with full customization control. Step-by-step selection of model version, SKU (GlobalStandard/Standard/ProvisionedManaged), capacity, RAI policy (content filter), and advanced options (dynamic quota, priority processing, spillover). USE FOR: custom deployment, customize model deployment, choose version, select SKU, set capacity, configure content filter, RAI policy, deployment options, detailed deployment, advanced deployment, PTU deployment, provisioned throughput. DO NOT USE FOR: quick deployment to optimal region (use preset).
Unified Azure OpenAI model deployment skill with intelligent intent-based routing. Handles quick preset deployments, fully customized deployments (version/SKU/capacity/RAI policy), and capacity discovery across regions and projects. USE FOR: deploy model, deploy gpt, create deployment, model deployment, deploy openai model, set up model, provision model, find capacity, check model availability, where can I deploy, best region for model, capacity analysis. DO NOT USE FOR: listing existing deployments (use foundry_models_deployments_list MCP tool), deleting deployments, agent creation (use agent/create), project creation (use project/create).
Intelligently deploys Azure OpenAI models to optimal regions by analyzing capacity across all available regions. Automatically checks current region first and shows alternatives if needed. USE FOR: quick deployment, optimal region, best region, automatic region selection, fast setup, multi-region capacity check, high availability deployment, deploy to best location. DO NOT USE FOR: custom SKU selection (use customize), specific version selection (use customize), custom capacity configuration (use customize), PTU deployments (use customize).
This skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility in biological research. Covers data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integrations with workflow managers (Nextflow, Snakemake) and MLOps platforms (W&B, MLflow), and deployment strategies.
Latch platform for bioinformatics workflows. Build pipelines with Latch SDK, @workflow/@task decorators, deploy serverless workflows, LatchFile/LatchDir, Nextflow/Snakemake integration.
Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.
Take kostja94/brand-protection from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.