Redis Caching Patterns
CheckedHelps with Redis, patterns as part of working with databases and data persistence workflows.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add kentoshimizu/sw-agent-skills --skill redis-caching-patterns -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
kentoshimizu
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.
Automated safety checks
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 kentoshimizu/sw-agent-skills at 5b7bafb626.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 5b7bafb626
- Scanned
- 4 files, 83 lines
About this skill
What it does
This skill enables AI agents to apply common Redis caching patterns, such as write-through, cache-aside, and read-through. It allows for efficient data retrieval by leveraging a Redis instance to store frequently accessed information, reducing database load and improving response times. The agent can also implement eviction strategies like Least Recently Used (LRU) to manage cache size effectively.
When to use it
- Slow Database Queries: Use this skill when you have queries that consistently take a long time to execute against your primary data store.
- High Read Load: Employ the skill when your application experiences a high volume of read requests for the same data.
- Session Management: Implement caching patterns for storing user session data, reducing database interactions for authentication and authorization.
- API Rate Limiting: Utilize Redis to track API request counts and enforce rate limits.
Key capabilities
- Write-Through Caching
- Cache-Aside Pattern
- Read-Through Pattern
- LRU Eviction Strategy
Example prompts
- "Implement a cache-aside pattern for retrieving user profile data from the database."
- "Use write-through caching to update product inventory levels in Redis and the primary database simultaneously."
- “Apply an LRU eviction policy with a maximum size of 1000 entries.”
Tips & gotchas
- Requires access to a running Redis instance.
- Consider data consistency implications when implementing caching strategies; stale data can be a potential issue if not handled correctly.