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Redis Expert

Checked
personamanagmentlayer·vlatest·database·Apache-2.0

Expertly manages Personamanagmentlayer's Redis data stores, optimizing performance and ensuring reliable access for agent operations.

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 personamanagmentlayer/pcl --skill redis-expert -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

personamanagmentlayer

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 personamanagmentlayer/pcl at 79ccaa9820.

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

Commit
79ccaa9820
Manifest
stdlib/data/redis-expert/SKILL.md
Scanned
3 files, 731 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

redis-expert

What it does

This skill enables AI agents to interact with Redis databases, allowing them to perform operations like storing and retrieving data, managing keys, and executing commands. It bridges the gap between agent logic and in-memory data stores for high-speed caching or session management.

When to use it

  • Implementing fast, temporary data caching for frequently accessed API responses.
  • Managing user session state in real-time applications requiring low latency.
  • Executing complex Redis commands like sorted set operations or pub/sub messaging.
  • Storing and retrieving structured key-value pairs for lightweight data persistence.

Key capabilities

  • Connects to Redis instances to execute database commands.
  • Handles key-based data retrieval and storage operations.
  • Supports various data types native to the Redis ecosystem.
  • Facilitates direct interaction with in-memory data structures.

Example prompts

  • "Connect to our Redis instance and retrieve the user profile stored under key 'user_123'."
  • "Cache the result of this API call in Redis for 5 minutes so subsequent requests are faster."
  • "List all keys in the database that start with 'session_' and delete any older than one hour."

Tips & gotchas

Ensure your AI agent has valid network permissions to reach the Redis server, as many environments block external database access by default. Always define specific key names or data structures in your prompts to avoid accidental overwrites of critical data.