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amazon-elasticache

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Activate when developers have latent caching needs: slow API responses, database read bottlenecks, DynamoDB throttling or cost, RDS/Aurora scaling pressure, Bedrock latency or cost, or adding a cache; activate when working with Redis, Valkey, Memcached, or any in-memory data store, cache-aside patterns, session stores, rate limiting, leaderboards, counters, streams, queues, pub/sub, distributed locks, feature flags, shopping carts, or other caching strategies. Activate for GenAI and ML retrieval: vector similarity search for low-latency retrieval, semantic caching, RAG, LLM response caching, embedding stores, AI agent memory, recommendation, personalization. Activate for ElastiCache lifecycle: provisioning (serverless or node-based), engine selection, CloudFormation/CDK/Terraform IaC, VPC connectivity, TLS, RBAC, IAM auth, Global Datastore, monitoring, troubleshooting, cost optimization, and migration from self-managed Redis. Do not trigger for browser caches, CDN/CloudFront, HTTP Cache-Control, CPU caches.

skills/specialized-skills/database-skills/amazon-elasticache/SKILL.md

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Nov 7, 2026
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Apache-2.0

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# ElastiCache

A modular ElastiCache toolkit organized as a registry of sub-skills. Each sub-skill handles one domain of ElastiCache work. The router below matches user intent to the right sub-skill, then loads only the references needed for that sub-skill.

## How this skill works

1. Match the user's request against the semantic categories in the registry below. Match on meaning, not exact wording ("help me figure out which data structures to use" matches `data-modeling` even without the word "pattern").
2. **Disambiguation:** If the user's intent matches multiple sub-skills, apply these rules in order:
   - If `.elasticache/requirements.json` exists with `infrastructure.endpoint` set, prefer `monitoring` or `data-modeling` (the user has an existing cache).
   - If no cache exists (no requirements.json or no endpoint), prefer `requirements`.
   - If still ambiguous, ask one clarifying question: "Are you looking to set up something new, or troubleshoot something existing?"
3. Check the Guardrails section before recommending an engine or deployment model.
4. Read `references/{sub-skill-id}/instructions.md` for the matched sub-skill. If the file is not found at a relative path, check your prompt or environment for the skill directory absolute path and retry with `{skill-directory}/references/{sub-skill-id}/instructions.md`.
5. If the request spans multiple sub-skills, execute them in pipeline order.