Overview
- Skill Key
- gora050/aws-s3
- Author
- gora050
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/gora050/aws-s3
- Latest Commit SHA
- a7022b2e5b76d328847f4d514a0f4b44a1288bf0
AWS S3 integration. Manage Buckets. Use when the user wants to interact with AWS S3 data.
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Status
ACTIVE
Visibility
PUBLIC
直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 aws-s3 技能。 若已安装,则直接安装 aws-s3 技能。
# AWS S3 AWS S3 is a cloud-based object storage service offered by Amazon Web Services. Developers and businesses use it to store and retrieve any amount of data, at any time, from anywhere on the web. It's commonly used for storing files, backups, and media content. Official docs: https://docs.aws.amazon.com/s3/ ## AWS S3 Overview - **Bucket** - **Object** — represents a file stored in the bucket. Use action names and parameters as needed. ## Working with AWS S3 This skill uses the Membrane CLI to interact with AWS S3. Membrane handles authentication and credentials refresh automatically — so you can focus on the integration logic rather than auth plumbing. ### Install the CLI Install the Membrane CLI so you can run `membrane` from the terminal: ```bash npm install -g @membranehq/cli ``` ### First-time setup ```bash membrane login --tenant ``` A browser window opens for authentication. **Headless environments:** Run the command, copy the printed URL for the user to open in a browser, then complete with `membrane login complete <code>`. ### Connecting to AWS S3 1. **Create a new connection:** ```bash membrane search aws-s3 --elementType=connector --json ``` Take the connector ID from `output.items[0].element?.id`, then: ```bash membrane connect --connectorId=CONNECTOR_ID --json ``` The user completes authentication in the browser. The output contains the new connection id. ### Getting list of existing connections When you are not sure if connection already exists: 1. **Check existing connections:** ```bash membrane connection list --json ``` If a AWS S3 connection exists, note its `connectionId` ### Searching for actions When you know what you want to do but not the exact action ID: ```bash membrane action list --intent=QUERY --connectionId=CONNECTION_ID --json ``` This will return action objects with id and inputSchema in it, so you will know how to run it. ## Popular actions Use `npx @membranehq/cli@late...
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