How are transaction failures handled?

The skill includes pre-configured retry strategies with exponential backoff to handle optimistic locking failures (WATCH) and provides validation rules to prevent EXECABORT syntax errors.

How does this skill handle Redis Cluster environments?

The skill provides specific guidance on using hash tags to ensure all keys involved in a transaction or script are mapped to the same hash slot, a technical requirement for Redis Cluster atomicity.

Does it support distributed locking?

Yes, it includes production-grade Lua script patterns for acquiring and releasing distributed locks securely, ensuring only the lock holder can release it.

Can I perform conditional logic inside a Redis transaction?

Standard MULTI/EXEC transactions do not support conditional logic. This skill guides you on using Lua scripting to execute complex 'read-modify-write' logic atomically on the server side.

Redis Transaction Pro

Name: Redis Transaction Pro
Author: pluginagentmarketplace

bypluginagentmarketplace

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Database Management

Implements production-grade Redis transaction patterns using MULTI/EXEC, optimistic locking with WATCH, and atomic Lua scripting.

About

The Redis Transaction Pro skill enables Claude to architect and implement complex, atomic data operations within Redis environments. It provides deep domain expertise in command batching via MULTI/EXEC, optimistic concurrency control using the WATCH pattern, and high-performance server-side Lua scripting. Designed for mission-critical applications, this skill ensures data consistency across distributed systems by providing validated patterns for financial transfers, distributed locks, and sophisticated rate limiting while adhering to Redis Cluster constraints and error-handling best practices.

Key Features

Optimistic locking implementations using WATCH for check-and-set operations
Production-ready templates for distributed locks and sliding-window rate limiters
1 GitHub stars
Atomic command batching with MULTI/EXEC and DISCARD workflows
Comprehensive error handling for EXECABORT, WATCH failures, and script timeouts
High-performance Lua scripting for complex server-side conditional logic

Use Cases

Building high-throughput API rate limiters with server-side increment logic
Developing reliable financial fund transfer systems with strict atomicity requirements
Implementing distributed mutex locks to manage resource access in microservices

About

Key Features

Optimistic locking implementations using WATCH for check-and-set operations
Production-ready templates for distributed locks and sliding-window rate limiters
1 GitHub stars
Atomic command batching with MULTI/EXEC and DISCARD workflows
Comprehensive error handling for EXECABORT, WATCH failures, and script timeouts
High-performance Lua scripting for complex server-side conditional logic

Use Cases

Building high-throughput API rate limiters with server-side increment logic
Developing reliable financial fund transfer systems with strict atomicity requirements
Implementing distributed mutex locks to manage resource access in microservices