Agent skill · software engineering · membranedev

redis-labs

Redis Labs integration. Manage data, records, and automate workflows. Use when the user wants to interact with Redis Labs data.

Why this skill is useful

Provides specific commands and workflows for integrating with Redis Labs that the AI wouldn't reliably generate on its own.

What it needs

Requires @membranehq/cli installed locally. Requires membrane account access. About 4k tokens when loaded. Last updated 2026-04-28. 253 stars on the source repository.

What this skill does

Redis Labs Redis Labs (now known as Redis) provides a fully managed cloud service for the open-source Redis database. It's used by developers and organizations needing high-performance, scalable data storage and caching solutions. They handle the complexities of Redis deployment, management, and optimization. Official docs: https://redis.com/docs/ Redis Labs Overview Database Key — Represents a key-value pair within the database. Vector Index Redis Function Use action names and parameters as needed. Working with Redis Labs This skill uses the Membrane CLI to interact with Redis Labs. 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: Authentication 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: 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 Redis Labs Use membrane connection ensure to find or create a connection by app URL or domain: The user completes authentication in the browser. The output contains the new connection id. This is the fastest way to get a connection. The URL is normalized to a domain and matched against known apps. If no app is found, one is created and a connector is built automatically. If the returned connection has state: "READY", skip to Step 2. 1b. Wait for the connection to be ready If the connection is in BUILDING state, poll until it's ready: The --wait flag long-polls (up to --timeout seconds, default 30) until the state changes. …

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills membranedev/redis-labs

View the source on GitHub

Browse the @skills marketplace