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aws-s3

AWS S3 integration. Manage Buckets. Use when the user wants to interact with AWS S3 data.

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安装方式

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。

Overview

Skill Key
gora050/aws-s3
Author
gora050
Source Repo
openclaw/skills
Version
-
Source Path
skills/gora050/aws-s3
Latest Commit SHA
a7022b2e5b76d328847f4d514a0f4b44a1288bf0

Extracted Content

SKILL.md excerpt

# 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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