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Find your next superpower If you are an agent, refer to our llms.txt for full access."..." for exact phrases · Try typography, debugging or spreadsheetCovers model selection, dataset preparation, fine-tuning, evaluation, and deployment to SageMaker endpoints or Bedrock. Supports inference benchmarking, endpoint diagnostics, training infrastructure setup, and SageMaker Managed MLflow management.
Guides creation of custom EC2 machine images with Packer. Uses the amazon-ebs builder to produce Amazon Machine Images.
Configures authentication, data, storage, functions, APIs, and AI features using Amplify Gen2. Supports major web and mobile frameworks, with patterns for Cognito, AppSync, DynamoDB, S3, and the Amplify AI Kit with Bedrock.
Implements sign-up and sign-in with Amazon Cognito and Amplify client libraries. Covers hosted login, MFA, OAuth/OIDC, social and SAML federation, token lifecycle, identity pools, Lambda triggers, API authorizers, and authentication troubleshooting.
Analyzes AWS costs, detects anomalies, manages budgets, and monitors Free Tier usage. Covers Savings Plans, Reserved Instances, Compute Optimizer recommendations, pricing lookup, billing views, and Cost and Usage Report queries with Athena.
Guides API creation, local development, and deployment with AWS Blocks. Covers selecting building blocks for data storage, authentication, realtime features, asynchronous jobs, and files using version-specific patterns.
Covers CDK constructs, stack architecture, environment bootstrapping, and deployment commands. Supports diagnosing CDK or CloudFormation errors, importing existing resources, resolving drift, and refactoring stacks without resource replacement.
Provides AWS CDK TypeScript patterns for infrastructure as code, including serverless and VPC architectures. Covers reusable constructs, IAM and encryption defaults, testing, and review of synth, diff, and deploy changes.
Guides initialization of AWS CDK applications in Python. Covers environment prerequisites, project creation, dependency management, and deployment to AWS.
Diagnoses collaboration issues involving IAM roles, S3 policies, KMS keys, and Lake Formation permissions. Covers CloudWatch log publishing problems for custom ML training and inference jobs.
Penetration test AWS cloud environments for misconfigurations, privilege escalation, data exposure, and lateral movement. Use this skill when assessing AWS accounts for security weaknesses including S3 bucket misconfigurations, IAM policy flaws, EC2 metadata exploitation, Lambda function abuse, and cross-account attack paths. Covers both external and authenticated AWS pentesting.
Covers template authoring, local validation, security and compliance checks, and account-aware pre-deployment validation. Supports Express mode deployments, Language Server tooling, and failed-stack diagnosis using CloudFormation events and CloudTrail correlation.
A growing collection of real, public skills. Descriptions and instructions indexed 24 Sept 2026.
Skills give your agent reusable instructions for a specific job. Pick one, read what it does, and bring it into your workflow.
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Copy the install command from a skill page and run it in your project.
npx skillycli add owner/repo --skill name