yugasun

s3

0
0
# Install this skill:
npx skills add yugasun/skills --skill "s3"

Install specific skill from multi-skill repository

# Description

e.g. s3 or s3v4 (use s3 for Aliyun)

# SKILL.md


name: s3
description: Uploads generated static sites or files (like slides) to AWS S3 or S3-compatible services (MinIO, Aliyun OSS, etc.) for public access. Use this skill when the user wants to publish or deploy their content to the cloud.
metadata:
author: Yuga Sun
version: "2026.01.29"
moltbot:
emoji: "โ˜๏ธ"
requires:
bins: ["uv"]
env: ["S3_ACCESS_KEY_ID", "S3_SECRET_ACCESS_KEY", "S3_BUCKET", "S3_CUSTOM_DOMAIN"]
settings:
endpointUrl:
type: string
label: Endpoint URL
description: S3 Compatible Endpoint URL
region:
type: string
label: Region
description: S3 Region
bucket:
type: string
label: Default Bucket
description: Default Target Bucket
customDomain:
type: string
label: Custom Domain
description: Custom domain for generated link (e.g., https://cdn.example.com)
addressingStyle:
type: string
label: Addressing Style
description: auto, virtual, or path (use virtual for Aliyun)
signatureVersion:
type: string
label: Signature Version
description: e.g. s3 or s3v4 (use s3 for Aliyun)
primaryEnv: S3_ACCESS_KEY_ID
install:
- id: uv-brew
kind: brew
formula: uv
bins: ["uv"]
label: Install uv (brew)


S3 Deployment Skill

Instructions

This skill handles uploading a local directory (e.g., generated slides) to an AWS S3 bucket or any S3-compatible object storage (e.g., MinIO, Aliyun OSS, Tencent COS) for static website hosting.

  1. Prerequisites:

    • Ensure the user has valid credentials in their environment:
      • S3_ACCESS_KEY_ID
      • S3_SECRET_ACCESS_KEY
      • S3_BUCKET (Optional if provided as an argument)
      • S3_REGION (Optional)
      • S3_ENDPOINT_URL (Required for non-AWS services like MinIO or Aliyun OSS)
      • S3_CUSTOM_DOMAIN (Optional, overrides the generated URL)
    • Ensure boto3 is installed in the environment. If not, install it.
    • Identify the source directory (e.g., slides/<ppt-name>/dist/) and the target S3 bucket name.
  2. Implementation:

    • Create a Python script using boto3 to walk through the source directory.
    • Configure the S3 client with endpoint_url if provided, to support S3-compatible providers.
    • Upload each file, maintaining the relative path structure.
    • Crucial: specific ContentType must be set for each file based on its extension (e.g., text/html for .html, text/css for .css, image/png for .png) so that the browser renders it correctly.
    • Make the objects public if the bucket policy allows or requires ACL (optional, based on bucket configuration).
    • Print the final website URL.

Usage

Use the bundled script to upload files:

# Explicit bucket name
uv run {baseDir}/scripts/upload_to_s3.py "slides/my-presentation/dist" "my-bucket" --prefix "presentations/my-presentation"

# Using S3_BUCKET from environment
uv run {baseDir}/scripts/upload_to_s3.py "slides/my-presentation/dist" --prefix "presentations/my-presentation"

Usage Guidelines

  • Bucket Name: Check if S3_BUCKET is set in environment. If not, ask the user for the S3 Bucket name.
  • Endpoint URL: Check if the user is using a non-AWS provider (like MinIO or Aliyun). If so, request or verify the endpoint_url.
  • Source Path: Default to looking for dist folders in slides/ if not specified.

# Supported AI Coding Agents

This skill is compatible with the SKILL.md standard and works with all major AI coding agents:

Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.