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Found 845 Skills
Educational map of behavioral risk screening—volume, velocity, and transit-style heuristics at address and transaction level. Use when the user asks about suspicious pattern detection, structuring-like activity, rapid fund movement, or AML-style behavior rules—not for tuning systems to evade monitoring or for legal conclusions.
Online reputation management strategy — monitoring reviews across Google, Yelp, Facebook, and industry sites, responding to negative reviews, generating more reviews, managing business listings, Google Business Profile optimization, reputation recovery after a crisis. Covers multi-location reputation at scale. Use when Google reviews disappeared or got removed, negative review is hurting your business, not getting enough reviews, business listings show wrong information, unsure which reputation management tool to pick, or your star rating is dropping. Do NOT use for ecommerce product review apps (use /sales-customer-reviews), B2B software reviews on G2 (use /sales-g2), or social listening for brand mentions (use /sales-social-listening).
Official GitHub MCP Server for AI-powered repository management, issue/PR automation, CI/CD monitoring, and code analysis through natural language
Agent-driven scheduling and publishing of social media posts across 13 platforms via SocialClaw. Use when the user wants to publish to X, LinkedIn, Instagram, Facebook Pages, TikTok, Discord, Telegram, YouTube, Reddit, WordPress, or Pinterest — or when managing campaigns, uploading media, or monitoring post delivery status.
Production-ready patterns for building LLM applications. Covers RAG pipelines, agent architectures, prompt IDEs, and LLMOps monitoring. Use when designing AI applications, implementing RAG, building agents, or setting up LLM observability.
ML engineering skill for productionizing models, building MLOps pipelines, and integrating LLMs. Covers model deployment, feature stores, drift monitoring, RAG systems, and cost optimization.
Implement comprehensive security audit logging for compliance, forensics, and SIEM integration. Use when building audit trails, compliance logging, or security monitoring systems.
Set up monitoring, logging, and alerting for infrastructure and applications. Use when implementing observability, creating dashboards, or configuring alerts.
Comprehensive infrastructure engineering covering DevOps, cloud platforms, FinOps, and DevSecOps. Platforms: AWS (EC2, Lambda, S3, ECS, EKS, RDS, CloudFormation), Azure basics, Cloudflare (Workers, R2, D1, Pages), GCP (GKE, Cloud Run, Cloud Storage), Docker, Kubernetes. Capabilities: CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins), GitOps, infrastructure as code (Terraform, CloudFormation), container orchestration, cost optimization, security scanning, vulnerability management, secrets management, compliance (SOC2, HIPAA). Actions: deploy, configure, manage, scale, monitor, secure, optimize cloud infrastructure. Keywords: AWS, EC2, Lambda, S3, ECS, EKS, RDS, CloudFormation, Azure, Kubernetes, k8s, Docker, Terraform, CI/CD, GitHub Actions, GitLab CI, Jenkins, ArgoCD, Flux, cost optimization, FinOps, reserved instances, spot instances, security scanning, SAST, DAST, vulnerability management, secrets management, Vault, compliance, monitoring, observability. Use when: deploying to AWS/Azure/GCP/Cloudflare, setting up CI/CD pipelines, implementing GitOps workflows, managing Kubernetes clusters, optimizing cloud costs, implementing security best practices, managing infrastructure as code, container orchestration, compliance requirements, cost analysis and optimization.
Expert in Machine Learning Operations bridging data science and DevOps. Use when building ML pipelines, model versioning, feature stores, or production ML serving. Triggers include "MLOps", "ML pipeline", "model deployment", "feature store", "model versioning", "ML monitoring", "Kubeflow", "MLflow".
Search Twitter/X in real-time using Grok API. Use when searching X posts, tracking trends, monitoring accounts, or analyzing social discussions.
Competitive analysis for startups: identify and segment competitors (direct/indirect/substitutes/status quo), map markets, build sales battlecards, run win/loss + churn analyses, and refine positioning/differentiation. Use when asked to compare products vs competitors, define competitive alternatives, explain category structure, or set up competitive intelligence monitoring and update cadences.