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aws/aws-core

v1.1.0Apache-2.0

Build, deploy, and operate applications on AWS. Skills to author infrastructure-as-code (CDK, CloudFormation), use core services (Lambda, API Gateway, Step Functions, ECS/Fargate, ECR, IAM, Amazon Bedrock with Knowledge Bases and Guardrails, AWS Blocks), select and operate databases across relational, key-value, document, wide-column, graph, time-series, and in-memory engines, and complete common tasks across observability, messaging and streaming, AWS SDKs, cost optimization, and Well-Architected Framework reviews across all six pillars.

commands

  • uvx mcp-proxy-for-aws-clilatest

allowed-tools

  • Read1 skill

scripts

  • amazon-bedrock
  • scripts/fetch_bedrock_agent.py
  • aws-ai-ml
  • references/dataset-evaluation/scripts/format_detector.py
  • references/dataset-transformation/code_templates/transformation.py
  • references/dataset-transformation/scripts/transformation_tools.py
  • references/endpoint-diagnostics/scripts/collect_diagnostics.py
  • references/finetuning-technique/scripts/get_recipes.py
  • references/finetuning/code_templates/dpo.py
  • references/finetuning/code_templates/rlaif_builtin.py
  • 56 more
    • references/finetuning/code_templates/rlaif_custom_prompt.py
    • references/finetuning/code_templates/rlvr.py
    • references/finetuning/code_templates/sft.py
    • references/finetuning/scripts/mlflow_reference.py
    • references/finetuning/templates/nova_rlvr_reward_function_source_template.py
    • references/finetuning/templates/rlvr_reward_function_source_template.py
    • references/model-deployment/code_templates/deploy-jumpstart-sagemaker.py
    • references/model-deployment/code_templates/deploy-nova-bedrock.py
    • references/model-deployment/code_templates/deploy-nova-sagemaker.py
    • references/model-deployment/code_templates/deploy-oss-bedrock.py
    • references/model-deployment/code_templates/deploy-oss-sagemaker.py
    • references/model-deployment/code_templates/optimize-benchmark.py
    • references/model-deployment/code_templates/optimize-huggingface-to-s3.py
    • references/model-deployment/code_templates/optimize-recommendation.py
    • references/model-evaluation/code_templates/custom_scorer_evaluator.py
    • references/model-evaluation/code_templates/llmaaj_evaluator.py
    • references/model-evaluation/scripts/nova_reward_function_source_template.py
    • references/model-evaluation/scripts/reward_function_source_template.py
    • references/model-evaluation/scripts/validate_custom_metrics.py
    • references/model-selection/scripts/filter_deployable_models.py
    • references/model-selection/scripts/get_deployable_models.py
    • references/model-selection/scripts/get_model_names.py
    • aws-observability
    • assets/alarm-template.ts
    • scripts/di_app_signals_client.py
    • scripts/di_capture.py
    • scripts/di_constants.py
    • scripts/di_crud_rendering.py
    • scripts/di_crud_tools.py
    • scripts/di_error_translation.py
    • scripts/di_formatting.py
    • scripts/di_gateway.py
    • scripts/di_instrumentation.py
    • scripts/di_location.py
    • scripts/di_logs_client.py
    • scripts/di_region.py
    • scripts/di_result.py
    • scripts/di_session.py
    • scripts/di_snapshot_parsing.py
    • scripts/di_snapshot_queries.py
    • scripts/di_snapshot_rendering.py
    • scripts/di_snapshot_tools.py
    • scripts/di_snapshots.py
    • scripts/di_status_assessment.py
    • scripts/di_status_rendering.py
    • scripts/di_status_tools.py
    • scripts/di_validation.py
    • aws-serverless
    • assets/powertools-handler.py
    • launch-with-aws
    • scripts/archive.py
    • scripts/auth.py
    • scripts/auth_callback_server.py
    • scripts/launch_api_client.py
    • scripts/launch_config.py
    • scripts/launch_with_aws.py
plugin.json
name
aws-core
version
1.1.0
description
Build, deploy, and operate applications on AWS. Skills to author infrastructure-as-code (CDK, CloudFormation), use core services (Lambda, API Gateway, Step Functions, ECS/Fargate, ECR, IAM, Amazon Bedrock with Knowledge Bases and Guardrails, AWS Blocks), select and operate databases across relational, key-value, document, wide-column, graph, time-series, and in-memory engines, and complete common tasks across observability, messaging and streaming, AWS SDKs, cost optimization, and Well-Architected Framework reviews across all six pillars.
author
Amazon Web Services
license
Apache-2.0
extensions
com.anthropic.claude-code
mcp.json
  • aws-mcpstdiouvx mcp-proxy-for-aws-cli@latest https://aws-mcp.us-east-1.api.aws/mcp --skip-auth --metadata INSTALL_SOURCE=agent-toolkit-core

What else this package ships

These files come with the package and this site does not publish them. They are listed so you know what is there before you install it.

  • 61Python files
  • alarm-template.ts
  • 2JSON files
  • otel-config.yaml
  • 4other files
View on GitHub

Client extensions

Data this package carries for particular clients. The directory lists the clients named and never reads what is addressed to them.

  • com.anthropic.claude-codeships a directory of files