agent-plugins

In the author's own words, from each skill's SKILL.md — showing the first 30 of 34 files.

• amazon-location-service

  Integrates Amazon Location Service APIs for AWS applications. Use this skill when users want to add maps (interactive MapLibre or static images); geocode addresses to coordinates or reverse geocode coordinates to addresses; calculate routes, travel times, or service areas; find places and businesses through text search, nearby search, or autocomplete suggestions; retrieve detailed place informati…

  plugins/amazon-location-service/skills/amazon-location-service/SKILL.md on GitHub (opens in a new tab)

• amplify-workflow

  Build and deploy full-stack web and mobile apps with AWS Amplify Gen2 (TypeScript code-first). Covers auth (Cognito), data (AppSync/DynamoDB including schema modeling, enum types, relationships, authorization rules), storage (S3), functions, APIs, and AI (Amplify AI Kit with Bedrock). Supports React, Next.js, Vue, Angular, React Native, Flutter, Swift, and Android. Always use this skill for Ampli…

  plugins/aws-amplify/skills/amplify-workflow/SKILL.md on GitHub (opens in a new tab)

• api-gateway

  Build, manage, and operate APIs with Amazon API Gateway (REST, HTTP, and WebSocket). Triggers on phrases like: API Gateway, REST API, HTTP API, WebSocket API, custom domain, Lambda authorizer, usage plan, throttling, CORS, VPC link, private API. Also covers troubleshooting API Gateway errors (4xx, 5xx, timeout, CORS failures) and IaC templates containing API Gateway resources. For general REST AP…

  plugins/aws-serverless/skills/api-gateway/SKILL.md on GitHub (opens in a new tab)

• aws-lambda-durable-functions

  Build resilient, long-running, multi-step applications with AWS Lambda durable functions with automatic state persistence, retry logic, and orchestration for long-running executions. Covers the critical replay model, step operations, wait/callback patterns, error handling with saga pattern, testing with LocalDurableTestRunner. Triggers on phrases like: lambda durable functions, workflow orchestra…

  plugins/aws-serverless/skills/aws-lambda-durable-functions/SKILL.md on GitHub (opens in a new tab)

• aws-lambda-managed-instances

  Evaluate, configure, and migrate workloads to AWS Lambda Managed Instances (LMI). Triggers on: Lambda Managed Instances, LMI, capacity provider, multi-concurrency Lambda, dedicated instance Lambda, EC2-backed Lambda, cold start elimination, Graviton Lambda, instance type for Lambda, scheduled scaling for LMI, Lambda cost optimization with Reserved Instances or Savings Plans. Also trigger when use…

  plugins/aws-serverless/skills/aws-lambda-managed-instances/SKILL.md on GitHub (opens in a new tab)

• aws-lambda-microvms

  Build, run, debug, and operate applications on AWS Lambda MicroVMs — Firecracker-isolated, snapshot-resumable serverless compute environments that run inside a container with up to 8-hour lifetimes. Triggers on: Lambda MicroVMs, Firecracker isolation, snapshot-resumable compute, suspend/resume, sandboxed or untrusted code execution, AI/agent code-execution sandboxes, interactive code playgrounds…

  plugins/aws-serverless/skills/aws-lambda-microvms/SKILL.md on GitHub (opens in a new tab)

• aws-lambda

  Design, build, deploy, test, and debug serverless applications with AWS Lambda. Triggers on phrases like: Lambda function, event source, serverless application, API Gateway, EventBridge, Step Functions, serverless API, event-driven architecture, Lambda trigger. For deploying non-serverless apps to AWS, use deploy-on-aws plugin instead.

  plugins/aws-serverless/skills/aws-lambda/SKILL.md on GitHub (opens in a new tab)

• aws-serverless-deployment

  AWS SAM and AWS CDK deployment for serverless applications. Triggers on phrases like: use SAM, SAM template, SAM init, SAM deploy, CDK serverless, CDK Lambda construct, NodejsFunction, PythonFunction, SAM and CDK together, serverless CI/CD pipeline. For general app deployment with service selection, use deploy-on-aws plugin instead.

  plugins/aws-serverless/skills/aws-serverless-deployment/SKILL.md on GitHub (opens in a new tab)

• aws-step-functions

  Build workflows with AWS Step Functions state machines using the JSONata query language. Covers Amazon States Language (ASL) structure, state types, variables, data transformation, error handling, AWS service integration, and migrating from the JSONPath to the JSONata query language.

  plugins/aws-serverless/skills/aws-step-functions/SKILL.md on GitHub (opens in a new tab)

• aws-transform

  Migrate, modernize, and upgrade codebases to AWS. Run analysis on repos for tech debt, security vulnerabilities, and modernization opportunities. Transforms .NET Framework to .NET 8/10, mainframe COBOL to Java, VMware VMs to EC2, SQL Server to Aurora, and upgrades Java/Python/Node.js versions and AWS SDKs. Use when the user says "migrate .NET to AWS", "upgrade Java to 17/21", "modernize COBOL", "…

  plugins/aws-transform/skills/aws-transform/SKILL.md on GitHub (opens in a new tab)

• document-service

  This skill should be used when the user asks to "analyze this codebase", "document this service", "generate technical docs", "I inherited this code", "help me understand this system", "create docs for this project", "what does this system look like", "onboard me to this codebase", "this codebase has no docs", "visualize the architecture from code", or any explicit request to produce structured do…

  plugins/codebase-documentor-for-aws/skills/document-service/SKILL.md on GitHub (opens in a new tab)

• dsql

  Build with Aurora DSQL — manage schemas, execute queries, handle migrations, diagnose query plans, diagnose cluster performance, load data, and develop applications with a serverless, distributed SQL database. Covers IAM auth, multi-tenant patterns, MySQL-to-DSQL and PostgreSQL-to-DSQL schema conversion, foreign key constraints, OCC retry patterns, ORM migration (Django/EF Core/Hibernate/Rails/SQ…

  plugins/databases-on-aws/skills/dsql/SKILL.md on GitHub (opens in a new tab)

• aws-architecture-diagram

  Generate validated AWS architecture diagrams as draw.io XML using official AWS4 icon libraries. Use this skill whenever the user wants to create, generate, or design AWS architecture diagrams, cloud infrastructure diagrams, or system design visuals. Also triggers for requests to visualize existing infrastructure from CloudFormation, CDK, or Terraform code. Supports two modes: analyze an existing…

  plugins/deploy-on-aws/skills/aws-architecture-diagram/SKILL.md on GitHub (opens in a new tab)

• deploy

  Deploy applications to AWS. Triggers on phrases like: deploy to AWS, host on AWS, run this on AWS, AWS architecture, estimate AWS cost, generate infrastructure. Analyzes any codebase and deploys to optimal AWS services.

  plugins/deploy-on-aws/skills/deploy/SKILL.md on GitHub (opens in a new tab)

• elastic-beanstalk

  Deploy to AWS Elastic Beanstalk. Triggers on: elastic beanstalk, EB, managed EC2 platform, web app with managed patching, worker on EC2, Heroku alternative, don't want to manage servers or container orchestration, migrate from Heroku, managed operational lifecycle. Covers Elastic Beanstalk on EC2 for web and worker applications.

  plugins/deploy-on-aws/skills/elastic-beanstalk/SKILL.md on GitHub (opens in a new tab)

• dataset-evaluation

  Validates dataset formatting and quality for SageMaker model fine-tuning (SFT, DPO, or RLVR). Use when the user says "is my dataset okay", "evaluate my data", "check my training data", "I have my own data", or before starting any fine-tuning job. Detects file format, checks schema compliance against the selected model and technique, and reports whether the data is ready for training or evaluation.

  plugins/sagemaker-ai/skills/dataset-evaluation/SKILL.md on GitHub (opens in a new tab)

• dataset-transformation

  Generates code that transforms datasets between ML schemas for model training or evaluation. Use when the user says "transform", "convert", "reformat", "change the format", or when a dataset's schema needs to change to match the target format — always use this skill for format changes rather than writing inline transformation code. Supports OpenAI chat, SageMaker SFT/DPO/RLVR/RLAIF, HuggingFace p…

  plugins/sagemaker-ai/skills/dataset-transformation/SKILL.md on GitHub (opens in a new tab)

• directory-management

  Manages project directory setup and artifact organization. Use when starting a new project, resuming an existing one, or when a PLAN.md needs to be associated with a project directory. Creates the project folder structure (specs/, scripts/, notebooks/, manifests/, agent_memory/) and resolves project naming.

  plugins/sagemaker-ai/skills/directory-management/SKILL.md on GitHub (opens in a new tab)

• finetuning-technique

  Selects a fine-tuning technique (SFT, DPO, RLVR, or RLAIF) for the user's use case and validates it against the selected model's available recipes. Use when the user has decided to finetune and needs to choose a technique, or when the technique needs to be validated against a model. Requires a base model to already be selected (via model-selection skill).

  plugins/sagemaker-ai/skills/finetuning-technique/SKILL.md on GitHub (opens in a new tab)

• finetuning

  Generates code that fine-tunes a base model using SageMaker serverless training jobs. Use when the user says "start training", "fine-tune my model", "I'm ready to train", or when the plan reaches the finetuning step. Supports SFT, DPO, RLVR, and RLAIF trainers, including RLVR Lambda reward function and RLAIF custom prompt creation.

  plugins/sagemaker-ai/skills/finetuning/SKILL.md on GitHub (opens in a new tab)

• hyperpod-cluster-debugger

  Diagnose and remediate cluster-wide HyperPod (EKS or Slurm) problems — creation / deployment failures (CloudFormation, EFA health check, lifecycle scripts, capacity), EKS access, node replacement, CloudFormation nested-stack errors, post-maintenance rollback state, dangling nodes, autoscaler conflicts. Includes `--validate` pre-flight. Read-only.

  plugins/sagemaker-ai/skills/hyperpod-cluster-debugger/SKILL.md on GitHub (opens in a new tab)

• hyperpod-issue-report

  Generate comprehensive issue reports from HyperPod clusters (EKS and Slurm) by collecting diagnostic logs and configurations for troubleshooting and AWS Support cases. Use when users need to collect diagnostics from HyperPod cluster nodes, generate issue reports for AWS Support, investigate node failures or performance problems, document cluster state, or create diagnostic snapshots. Triggers on…

  plugins/sagemaker-ai/skills/hyperpod-issue-report/SKILL.md on GitHub (opens in a new tab)

• hyperpod-nccl

  Diagnose NCCL failures and adjacent training-pod failures on HyperPod GPU clusters (EKS or Slurm) — training hangs, AllReduce / collective-op timeouts, EFA or libfabric errors, rendezvous failures, EFA TCP fallback, /dev/shm or memlock issues, NCCL version mismatch across pods, container OOM / exit-137 / OOMKilled, GPU OOM (CUDA out of memory), CrashLoopBackOff / Pending pods, MASTER_ADDR DNS, Ne…

  plugins/sagemaker-ai/skills/hyperpod-nccl/SKILL.md on GitHub (opens in a new tab)

• hyperpod-node-debugger

  Diagnose and remediate per-node issues on a HyperPod cluster (EKS or Slurm) — a specific node is unhealthy, unresponsive, stuck, or needs replacing. Covers on-node EFA, GPU / accelerator hardware (XID, ECC, NVLink, row-remap, DCGM), Slurm node down/drained, disk and memory pressure, per-node lifecycle-script failures, SSM agent, container runtime, kernel panics, pod networking. Read-only. Not for…

  plugins/sagemaker-ai/skills/hyperpod-node-debugger/SKILL.md on GitHub (opens in a new tab)

• hyperpod-performance-debugger

  Diagnose performance issues on Amazon SageMaker HyperPod clusters — uneven NCCL bandwidth across nodes and poor filesystem throughput. Read-only. Surfaces host-side signals (Xid, ECC, NVLink, EFA reachability, FSx saturation) and routes to the appropriate sibling skill (hyperpod-node-debugger, hyperpod-nccl, hyperpod-version-checker, hyperpod-issue-report) for any remediation. Triggers on uneven…

  plugins/sagemaker-ai/skills/hyperpod-performance-debugger/SKILL.md on GitHub (opens in a new tab)

• hyperpod-slurm-debugger

  Diagnostic-only skill for Slurm scheduler and node-daemon issues on Amazon SageMaker HyperPod Slurm clusters. Scope mirrors the HyperPod troubleshooting guide. Invoke when the user reports a Slurm node stuck in down/drain, "Node unexpectedly rebooted" after auto-repair, slurmd not running, jobs stuck PENDING with REASON=Resources while sinfo shows idle nodes, jobs stuck COMPLETING after node repl…

  plugins/sagemaker-ai/skills/hyperpod-slurm-debugger/SKILL.md on GitHub (opens in a new tab)

• hyperpod-ssm

  Remote command execution and file transfer on SageMaker HyperPod cluster nodes via AWS Systems Manager (SSM). This is the primary interface for accessing HyperPod nodes — direct SSH is not available. Use when any skill, workflow, or user request needs to execute commands on cluster nodes, upload files to nodes, read/download files from nodes, run diagnostics, install packages, or perform any oper…

  plugins/sagemaker-ai/skills/hyperpod-ssm/SKILL.md on GitHub (opens in a new tab)

• hyperpod-version-checker

  Check and compare software component versions on SageMaker HyperPod cluster nodes - NVIDIA drivers, CUDA toolkit, cuDNN, NCCL, EFA, AWS OFI NCCL, GDRCopy, MPI, Neuron SDK (Trainium/Inferentia), Python, and PyTorch. Use when checking component versions, verifying CUDA/driver compatibility, detecting version mismatches across nodes, planning upgrades, documenting cluster configuration, or troublesh…

  plugins/sagemaker-ai/skills/hyperpod-version-checker/SKILL.md on GitHub (opens in a new tab)

• model-deployment

  Generates code that deploys fine-tuned models from SageMaker Serverless Model Customization to SageMaker endpoints or Bedrock. Use when the user says "deploy my model", "create an endpoint", "make it available", or asks about deployment options. Identifies the correct deployment pathway (Nova vs OSS), generates deployment code, and handles endpoint configuration.

  plugins/sagemaker-ai/skills/model-deployment/SKILL.md on GitHub (opens in a new tab)

• model-evaluation

  Generates python code that evaluates SageMaker models. Supports two evaluation types: LLM-as-Judge and Custom Scorer. Use when the user says "evaluate my model", "run a benchmark", "test model performance", "how did my model perform", "compare models", or other similar requests.

  plugins/sagemaker-ai/skills/model-evaluation/SKILL.md on GitHub (opens in a new tab)

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