본문으로 건너뛰기
cccskills
무료GitHub에 공개

model-selection

Selects a base model for the user's use case by querying SageMaker Hub. Use when the user asks which model to use, wants to select or change their base model, mentions a model name or family (e.g., "Llama", "Mistral", "Nova"), or wants to evaluate a base model — always activate even for known model names because the exact Hub model ID must be resolved. Queries available models, presents benchmarks and licenses, and confirms selection.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

awslabs/agent-plugins
설치 방법 보기

포함된 파일(12)

  • SKILL.md3.3 KB
  • references/benchmarks/agenticIndex.md2.8 KB
  • references/benchmarks/codingIndex.md2.8 KB
  • references/benchmarks/gpqa.md2.8 KB
  • references/benchmarks/hle.md2.8 KB
  • references/benchmarks/ifbench.md2.7 KB
  • references/benchmarks/intelligenceIndex.md2.7 KB
  • references/benchmarks/mmmuPro.md3.0 KB
  • references/benchmarks/tau2.md2.8 KB
  • references/model-licenses.md7.8 KB
  • references/model-selection.md8.0 KB
  • scripts/get_model_names.py1.0 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Model Selection

Guides the user through selecting a base model based on their use case.

When to Use

  • User asks which model to use
  • User wants to select or change their base model
  • User mentions a model name or family (e.g., "Llama", "Mistral", "Nova") — the exact Hub model ID still needs to be resolved
  • User wants to evaluate a base model before deciding whether to finetune

Prerequisites

  • A use_case_spec.md file exists. If not, activate the use-case-specification skill to generate it first.

Workflow

Step 1: Check Region

Run:

python -c "import boto3; print(boto3.session.Session().region_name)"
  • None → STOP. Tell user: "Set your region via export AWS_DEFAULT_REGION=us-west-2 or aws configure."
  • Set → store REGION in context, continue.

Step 2: Discover Hub

  1. List all available SageMaker Hubs in the user's region by calling the SageMaker ListHubs API using the aws___call_aws tool.

  2. From the results, filter out any hub whose HubDescription contains "AI Registry" — these do not contain JumpStart models.

  3. The remaining hubs are eligible (e.g., SageMakerPublicHub and any private hubs).

  4. If exactly one eligible hub exists, use it automatically — do not ask the user.

  5. If multiple eligible hubs exist, present them to the user and ask which one to use. Example:

    I found the following model hubs:
- SageMakerPublicHub — SageMaker Public Hub
- Private-Hub-XYZ — Private Hub models
Which hub would you like to use?

  6. Store the selected hub name for use in subsequent steps.

Step 3: Select Base Model

First, retrieve all available SageMaker Hub model names by running: python model-selection/scripts/get_model_names.py <hub-name>.

Present all available models to the user with their licenses before making any recommendations. Cross-reference the model list with references/model-licenses.md and display each as <model name> - [<license>](<url>). For example: "Qwen3-4B - Apache 2.0"

If you already know the model the user wants to use (from conversation context or planning files), confirm that it's in the list, display its license, and move on. Otherwise, help the user pick a model following the instructions in references/model-selection.md. Important: Make sure to remember this list of available models when helping with model selection. Don't recommend a model that's not available to the user.

Step 4: Confirm Selection

Present a summary to the user:

Here's what we've selected:
- Base model: [model name]

Ask if they'd like to proceed with this model.

References

  • references/model-selection.md — Model selection instructions and benchmark descriptions
  • references/model-licenses.md — Model license information for display during model selection

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

amazon-location-service

무료

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 information including hours, contacts, and addresses; monitor geographical boundaries with geofences; or track device locations. Covers authentication, SDK integration, and all Amazon Location Service capabilities.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

awslabs/agent-plugins9242026년 10월 15일 업데이트

amplify-workflow

무료

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 Amplify Gen2 topics — even for questions you think you know — it contains validated, version-specific patterns that prevent common mistakes. TRIGGER when: user mentions Amplify Gen2; project has amplify/ directory or amplify_outputs; code imports @aws-amplify packages; user asks about defineBackend, defineAuth, defineData, defineStorage, or npx ampx. SKIP: Amplify Gen1 (amplify CLI v6), standalone SAM/CDK without Amplify (use aws-serverless), direct Bedrock without Amplify AI Kit (use bedrock).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

awslabs/agent-plugins9242026년 10월 15일 업데이트

api-gateway

무료

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 API design unrelated to AWS, do not trigger.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

awslabs/agent-plugins9242026년 10월 15일 업데이트

aws-architecture-diagram

무료

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 codebase to auto-generate diagrams, or brainstorm interactively from scratch. Exports .drawio files with optional PNG/SVG/PDF export via draw.io desktop CLI.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

awslabs/agent-plugins9242026년 10월 15일 업데이트

aws-lambda

무료

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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

awslabs/agent-plugins9242026년 10월 15일 업데이트

aws-lambda-durable-functions

무료

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 orchestration, state machines, retry/checkpoint patterns, long-running stateful Lambda functions, saga pattern, human-in-the-loop callbacks, and reliable serverless applications.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

awslabs/agent-plugins9242026년 10월 15일 업데이트

awslabs의 스킬 모두 보기

이 스킬의 문제 신고