Aws S3
by @gora050
AWS S3 integration. Manage Buckets. Use when the user wants to interact with AWS S3 data.
clawhub install aws-s3π About This Skill
name: aws-s3 description: | AWS S3 integration. Manage Buckets. Use when the user wants to interact with AWS S3 data. compatibility: Requires network access and a valid Membrane account (Free tier supported). license: MIT homepage: https://getmembrane.com repository: https://github.com/membranedev/application-skills metadata: author: membrane version: "1.0" categories: ""
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
Working with AWS S3
This skill uses the Membrane CLI to interact with AWS S3. Membrane handles authentication and credentials refresh automatically β 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:
npm install -g @membranehq/cli@latest
Authentication
membrane login --tenant --clientName=
This will either open a browser for authentication or print an authorization URL to the console, depending on whether interactive mode is available.
Headless environments: The command will print an authorization URL. Ask the user to open it in a browser. When they see a code after completing login, finish with:
membrane login complete
Add --json to any command for machine-readable JSON output.
Agent Types : claude, openclaw, codex, warp, windsurf, etc. Those will be used to adjust tooling to be used best with your harness
Connecting to AWS S3
Use connection connect to create a new connection:
membrane connect --connectorKey aws-s3
#### Listing existing connections
membrane connection list --json
Searching for actions
Search using a natural language description of what you want to do:
membrane action list --connectionId=CONNECTION_ID --intent "QUERY" --limit 10 --json
You should always search for actions in the context of a specific connection.
Each result includes id, name, description, inputSchema (what parameters the action accepts), and outputSchema (what it returns).
Popular actions
Use npx @membranehq/cli@latest action list --intent=QUERY --connectionId=CONNECTION_ID --json to discover available actions.
Creating an action (if none exists)
If no suitable action exists, describe what you want β Membrane will build it automatically:
membrane action create "DESCRIPTION" --connectionId=CONNECTION_ID --json
The action starts in BUILDING state. Poll until it's ready:
membrane action get --wait --json
The --wait flag long-polls (up to --timeout seconds, default 30) until the state changes. Keep polling until state is no longer BUILDING.
READY β action is fully built. Proceed to running it.CONFIGURATION_ERROR or SETUP_FAILED β something went wrong. Check the error field for details.Running actions
membrane action run --connectionId=CONNECTION_ID --json
To pass JSON parameters:
membrane action run --connectionId=CONNECTION_ID --input '{"key": "value"}' --json
The result is in the output field of the response.
Best practices
membrane action list --intent=QUERY (replace QUERY with your intent) to find existing actions before writing custom API calls. Pre-built actions handle pagination, field mapping, and edge cases that raw API calls miss.π Tips & Best Practices
membrane action list --intent=QUERY (replace QUERY with your intent) to find existing actions before writing custom API calls. Pre-built actions handle pagination, field mapping, and edge cases that raw API calls miss.