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Redis Patterns

Checked
patricio0312rev·vlatest·database·MIT

Helps with Redis, patterns as part of working with databases and data persistence workflows.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add patricio0312rev/skills --skill redis-patterns -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

patricio0312rev

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned patricio0312rev/skills at 79ea6af485.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
79ea6af485
Manifest
performance/redis-patterns/SKILL.md
Scanned
1 file, 724 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables AI agents to interact with Redis databases using advanced data structures and architectural patterns. It facilitates efficient caching strategies, session management, and real-time data processing within distributed systems.

When to use it

  • Implementing high-performance caching layers for frequently accessed application data.
  • Managing user sessions in stateless server environments requiring persistent storage.
  • Building leaderboards or real-time analytics dashboards utilizing Redis sorted sets.
  • Optimizing database read/write operations by offloading heavy lifting to an in-memory store.

Key capabilities

  • Utilization of diverse Redis data types including strings, hashes, lists, and sets.
  • Execution of complex queries using Lua scripting for atomic operations.
  • Implementation of pub/sub messaging patterns for real-time event distribution.
  • Configuration of persistence mechanisms like RDB snapshots and AOF logs.

Example prompts

  • "Create a Redis configuration to cache user profile data with a 5-minute TTL."
  • "Write a Lua script to atomically increment a counter in a Redis hash."
  • "Set up a pub/sub channel to broadcast live stock price updates to subscribers."

Tips & gotchas

Ensure your AI agent has the correct connection string and authentication credentials for the specific Redis instance. Be mindful of memory limits, as Redis stores data in RAM, which can impact performance if datasets exceed available capacity.