2.3K skills ・ Works with: AWS · sorted by popularity
Plan and configure connections between on-premises data centers and AWS, Azure, GCP, or OCI using VPNs or dedicated links. Cover routing, redundant connections, security controls, monitoring, troubleshooting, and connection costs.
Build reusable Terraform modules for AWS, Azure, GCP, and OCI. Organize cloud infrastructure as code with documented inputs, validation, usage examples, provider version constraints, and Terratest tests for consistent provisioning.
Create or update Claude skills that capture specialized knowledge and repeatable workflows. Guides the organization of instructions, scripts, references, and templates, then covers initialization, validation, and packaging into a distributable skill file.
Turn recurring procedures and specialized knowledge into reusable agent skills. It guides the design of SKILL.md, scripts, reference documents, and output assets, then validates the structure and packages the files for distribution.
Plan and explain Lakehouse solutions in Microsoft Fabric, a place to manage tables and files together. Understand data organization, links to data without copying, access controls, and table maintenance options for designing and improving a solution.
Turn written descriptions of processes, systems, and ideas into editable Excalidraw diagrams. Create flowcharts, mind maps, relationship diagrams, and architecture diagrams, then receive an .excalidraw file to open and refine.
Learn GitHub Copilot CLI through interactive lessons for developers and non-developers. Practice prompts, permissions, file references, and task planning, with progress tracking and answers to specific questions as you work through the material.
Investigate AWS production incidents using reusable CloudWatch log queries and metric calculations. Narrow affected resources, compare alarms with deployment events, and reconstruct a timeline to identify changes that may explain the symptoms.
Assess an AWS resource using CloudWatch logs and metrics, the measurements that describe its behavior. Investigate failures and performance issues, classify their severity, and produce a remediation report with staged actions, CLI commands, and monitoring recommendations.
Manage the credentials Arize uses to call LLM providers such as OpenAI and Anthropic. Create, inspect, update, or delete connections, configure allowed models and authentication methods, and retrieve connection IDs for use in evaluations.
Set up a Python project with AWS CDK, a toolkit for defining cloud infrastructure in code. Follow guidance on prerequisites, AWS credentials, virtual environments, dependencies, template generation, deployment preparation, and reviewing changes before deployment.
Review AWS infrastructure code and deployed resources against the six Well-Architected pillars. Produce risk-ranked findings, remediation examples, and an architecture diagram, then create GitHub issues for tracking improvements after user confirmation.
Analyze AWS infrastructure definitions, deployed resources, usage metrics, and actual costs to identify savings opportunities. Rank recommendations by savings, risk, and effort, then create individual GitHub issues and a coordinating issue after approval.
Ask plain-language questions about AWS resources, settings, and costs, and receive readable tables using read-only AWS CLI commands. Inspect services and filter results by region, state, or tags without creating, changing, or deleting resources.
Implement and customize managed CopilotKit Channels so agents can reply in Slack or Microsoft Teams. It covers channel handlers, persistent runtime connections, Teams setup, and checks for silent failures such as missing permissions or incompatible package versions.
Analyze bid–ask spreads, order books, and buying and selling imbalances to assess liquidity, or how easily an asset trades. Estimate large-order price impact and transaction costs, with additional guidance on Chinese A-share auction and block trades.
Design and review infrastructure managed with Terraform or OpenTofu. Get guidance on reusable modules, testing choices, automated deployment workflows, and security checks, with approaches suited to different software versions and the cost of running tests.
Use Stratus Red Team to simulate attack techniques across AWS, Azure, GCP, and Kubernetes. Prepare test resources, run and repeat simulations, check logs and alerts, and remove resources to assess whether security detections work.
Assess serverless functions, primarily AWS Lambda, for unsafe execution of external input and unauthorized changes to code or added libraries. Combine source inspection, activity logs, and permission reviews to identify injection risks and recommend detection and prevention measures.
Investigate suspected data theft from AWS S3 by comparing access logs, GuardDuty findings, and Macie classifications. Identify unusual bulk downloads and transfers across accounts, assess sensitive data exposure, and build automated detection rules.
Analyze ModSecurity, AWS WAF, and Cloudflare logs for SQL injection, attempts to manipulate database queries through web requests. Groups related requests, tracks source IPs, classifies attack methods, and produces incident reports.
Use CloudFox to inspect AWS and Azure resources through read-only queries. Identify exposed endpoints, secrets, permissions, and role trust relationships, then organize findings into files for reviewing configuration weaknesses and potential paths to broader access.
Find undocumented API endpoints, the addresses applications send requests to, by comparing traffic with OpenAPI specifications and examining cloud settings and source code. Build an inventory with activity and risk details to review forgotten or outdated APIs.
Build automated responses to AWS GuardDuty security findings using EventBridge and Lambda. Configure severity filters, isolate EC2 instances, disable compromised access keys, preserve disk snapshots for investigation, and send notifications to security teams.