Claude Code Skills & Kiro Powers

Giving AI coding agents domain expertise

Skills and Powers are knowledge packages that give AI coding agents (Claude Code, Kiro) deep domain expertise. These packages provide battle-tested guidance derived from real deployment experience — no more guessing or hallucinated APIs.

Repositories

claude-code-skill-for-sagemaker-ai

Mar 2026
Claude Code Skill

Comprehensive Claude Code skill for Amazon SageMaker AI. Covers the full lifecycle: inference endpoints, training, HyperPod, Model Monitor, AutoGluon, and SDK v3 patterns. Consolidates and replaces three earlier skills.

SageMaker AIInferenceTrainingHyperPodSDK v3
View on GitHub

kiro-power-for-sagemaker-ai

Mar 2026
Kiro Power

A Kiro Power providing battle-tested guidance for deploying and training ML models on Amazon SageMaker AI. Pure knowledge base — no MCP servers required.

SageMaker AIInferenceTrainingHyperPodSDK v3
View on GitHub

sagemaker-llm-training-skill

Feb 2026
Claude Code Skill

Claude Code skill for SageMaker LLM training — SFT, LoRA, QLoRA, DPO, and CPT patterns. Now consolidated into the unified sagemaker-ai skill.

LLM TrainingSFTQLoRADPO
View on GitHub

aws-hyperpod-skill

Feb 2026
Claude Code Skill

Amazon SageMaker HyperPod skill for Claude Code — expert guidance for provisioning and managing HyperPod clusters. Now consolidated into the unified sagemaker-ai skill.

HyperPodEKSTraining OperatorTask Governance
View on GitHub

aws-healthomics-skill

Feb 2026
Claude Code Skill

Claude Code skill for AWS HealthOmics genomics workflows.

HealthOmicsGenomicsBioinformatics
View on GitHub

aws-fde-aiml-skill

Feb 2026
Claude Code Skill

AWS Forward-Deployed Engineer skill for AI/ML — builder-first technical partner for POCs with cost optimization and Well-Architected best practices.

FDEAI/MLPOCWell-Architected
View on GitHub

How It Works

Install

Clone the repo and add it as a local skill (Claude Code) or custom power (Kiro) — takes under a minute.

Ask

Ask your agent about deploying a model, fine-tuning an LLM, or setting up HyperPod. The relevant knowledge loads automatically.

Build

Get correct SDK v3 code, validated container URIs, and production-ready patterns — no more guessing or hallucinated APIs.