redis-cache
Cache data, manage sessions, and use pub/sub messaging via the Redis server running at {{REDIS_HOST}}:{{REDIS_PORT}} in your Docker network.
Best use case
redis-cache is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Cache data, manage sessions, and use pub/sub messaging via the Redis server running at {{REDIS_HOST}}:{{REDIS_PORT}} in your Docker network.
Teams using redis-cache should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/redis-cache/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How redis-cache Compares
| Feature / Agent | redis-cache | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Cache data, manage sessions, and use pub/sub messaging via the Redis server running at {{REDIS_HOST}}:{{REDIS_PORT}} in your Docker network.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Redis Cache Skill
Redis is available at `{{REDIS_HOST}}:{{REDIS_PORT}}` within the Docker network.
## Caching
To cache a value, use the Redis CLI or HTTP API through the sandbox shell:
```bash
redis-cli -h {{REDIS_HOST}} -p {{REDIS_PORT}} -a $REDIS_PASSWORD SET mykey "myvalue" EX 3600
redis-cli -h {{REDIS_HOST}} -p {{REDIS_PORT}} -a $REDIS_PASSWORD GET mykey
```
## Pub/Sub
Publish messages to channels for real-time communication between services.
```bash
# Publish a message to a channel
redis-cli -h {{REDIS_HOST}} -p {{REDIS_PORT}} -a $REDIS_PASSWORD PUBLISH openclaw:events '{"type":"task_complete","id":"abc123"}'
# Subscribe to a channel (in a separate process)
redis-cli -h {{REDIS_HOST}} -p {{REDIS_PORT}} -a $REDIS_PASSWORD SUBSCRIBE openclaw:events
```
## Hash Operations
Store structured data efficiently using Redis hashes:
```bash
# Set multiple fields on a hash
redis-cli -h {{REDIS_HOST}} -p {{REDIS_PORT}} -a $REDIS_PASSWORD HSET openclaw:session:user1 name "Alice" role "admin" last_seen "$(date -Iseconds)"
# Get all fields from a hash
redis-cli -h {{REDIS_HOST}} -p {{REDIS_PORT}} -a $REDIS_PASSWORD HGETALL openclaw:session:user1
```
## List-Based Queues
Use Redis lists as lightweight task queues:
```bash
# Push a task onto the queue
redis-cli -h {{REDIS_HOST}} -p {{REDIS_PORT}} -a $REDIS_PASSWORD LPUSH openclaw:queue:tasks '{"action":"process","file":"input.csv"}'
# Pop a task from the queue (blocking)
redis-cli -h {{REDIS_HOST}} -p {{REDIS_PORT}} -a $REDIS_PASSWORD BRPOP openclaw:queue:tasks 30
```
## Key Patterns
- Use `openclaw:cache:*` prefix for cache entries
- Use `openclaw:session:*` for session data
- Use `openclaw:queue:*` for task queues
- Use `openclaw:lock:*` for distributed locks
- Use `openclaw:rate:*` for rate-limiting counters
## Tips for AI Agents
- Always set a TTL (`EX` for seconds, `PX` for milliseconds) on cache keys to avoid memory leaks.
- Use `SETNX` or `SET ... NX` for distributed locking to prevent race conditions.
- Prefer `MGET`/`MSET` for batch operations to reduce round-trips.
- Check connectivity with `redis-cli -h {{REDIS_HOST}} -p {{REDIS_PORT}} -a $REDIS_PASSWORD PING` before running complex operations.
- Use `SCAN` instead of `KEYS` in production to avoid blocking the server.Related Skills
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