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Found 441 Skills
Run ScoutSuite for multi-cloud security auditing. Collects configuration data from AWS, Azure, GCP, Oracle, and Alibaba Cloud and generates an interactive security report.
Multi-cloud security assessment skill for AWS, Azure, and GCP. This skill should be used when performing cloud security audits, scanning for misconfigurations, testing IAM policies, auditing storage permissions, and identifying privilege escalation paths. Triggers on requests to audit cloud security, scan AWS/Azure/GCP, check cloud misconfigurations, or perform cloud penetration testing.
Route53 Record Manager - Auto-activating skill for AWS Skills. Triggers on: route53 record manager, route53 record manager Part of the AWS Skills skill category.
Authoritative reference for the neo4j-agent-memory Python package — a graph-native memory system for AI agents built on Neo4j — and for the hosted service (NAMS) at memory.neo4jlabs.com. Use this skill whenever the user mentions neo4j-agent-memory, agent memory with Neo4j, context graphs, the POLE+O model, MemoryClient/MemorySettings, the memory MCP server, or any of the framework integrations (LangChain, PydanticAI, CrewAI, AWS Strands, Google ADK, Microsoft Agent Framework, OpenAI Agents, LlamaIndex). Also use when the user mentions the hosted service at memory.neo4jlabs.com, NAMS, the Neo4j Agent Memory Service, the `nams_` API key prefix, or the hosted MCP endpoint. Also use when writing documentation, blog posts, tutorials, PRDs, or code samples for the project, when comparing agent memory approaches, or when positioning graph-native memory against vector-only approaches — even if the user doesn't explicitly name the package.
Build reusable Terraform modules for AWS, Azure, and GCP infrastructure following infrastructure-as-code best practices. Use when creating infrastructure modules, standardizing cloud provisioning, or implementing reusable IaC components.
Infrastructure and CI/CD specialist. Responsible for environment setup, pipeline construction, and security management to deploy applications safely and reliably. Platform-agnostic (supports AWS/GCP/Cloudflare, etc.).
Creates professional logical flow diagrams and logical system architecture diagrams using draw.io XML format (.drawio files). Use when creating: (1) logical flow diagrams showing data/process flow between system components, (2) logical architecture diagrams representing system structure without cloud provider specifics, (3) BPMN process diagrams, (4) UML diagrams (class, sequence, activity), (5) data flow diagrams (DFD), (6) decision flowcharts, or (7) system interaction diagrams. This skill focuses on generic/abstract representations, not AWS/Azure-specific architectures (use aws-drawio-architecture-diagrams for cloud diagrams).
Cloud infrastructure and DevOps workflow covering AWS, Azure, GCP, Kubernetes, Terraform, CI/CD, monitoring, and cloud-native development.
23 production-ready engineering skills covering architecture, frontend, backend, fullstack, QA, DevOps, security, AI/ML, data engineering, computer vision, and specialized tools like Playwright Pro, Stripe integration, AWS, and MS365. 30+ Python automation tools (all stdlib-only). Works with Claude Code, Codex CLI, and OpenClaw.
Detect abnormal access patterns in AWS S3, GCS, and Azure Blob Storage by analyzing CloudTrail Data Events, GCS audit logs, and Azure Storage Analytics. Identifies after-hours bulk downloads, access from new IP addresses, unusual API calls (GetObject spikes), and potential data exfiltration using statistical baselines and time-series anomaly detection.
Use this skill whenever a user wants to deploy, host, run, or set up any project on a Linux VPS (Virtual Private Server). Triggers include: setting up a Node.js/Python/other app on a server, checking server compatibility with a project, making an app accessible online, fixing port issues, keeping an app running with PM2 or systemd, setting up tunnels (ngrok, localtunnel, pinggy), cloning private GitHub repos to a server, configuring environment variables, managing logs, enabling auto-restart on reboot, dealing with AWS/GCP firewalls, or any combination of these. Always use this skill when the user is working on a remote Linux server and wants to deploy or run any kind of application — even if they don't use the word "VPS" explicitly.
Guides FinOps analysis on AWS, GCP, and Azure—cost visibility and allocation, tagging and showback/chargeback models, rightsizing and waste removal, RI/Savings Plan/CUD recommendations, budgets and forecasts, anomaly detection, unit economics (cost per service/customer), and FinOps cadence with engineering accountability. Use when optimizing cloud spend, analyzing CUR/billing exports, building cost dashboards, explaining bill spikes, or improving allocation—not for GL mapping, capex, depreciation, or month-end ledger close (compute-accounting-manager), enterprise EA negotiation (enterprise-cloud-architect), hands-on resource provisioning (cloud-engineer), or hardware supply efficiency (data-center-compute-supply-efficiency).