Redis Semantic Cache
Redis LangCache guidance for semantic caching of LLM responses on Redis Cloud — calling search/set via the SDK or REST API, tuning the similarity threshold, separating caches per task type, and filtering with custom attributes. Use when caching LLM completions or RAG answers to cut API cost and latency, building a cache-aside layer in front of OpenAI / Anthropic / etc., tuning hit rate vs precision, or splitting one app's LLM workloads into multiple LangCache caches.
Works with: Claude Code (native) · Cursor, Codex CLI (manual)
native: this artifact type is that client's own format
Category: AI & Agents — see all ranked ›
Install (Claude Code):
cp -r redis-semantic-cache ~/.claude/skills/- Adoption: 1 repos
- Upkeep: 94.0
- Freshness: 88.0
- Evidence coverage: 84% of the inputs this score can use — the rest are unknown, and the score is discounted for it
- Health: active
- Contributors: 11
- License: MIT
Security audit
Not scanned yet. We audit npm-published capabilities for known advisories, install-time scripts and permission surface; this one has no npm package we can resolve, or has not reached the queue.
Its own instructions
Its SKILL.md says when to use it, shows worked examples and covers setup.
Read from the capability’s own SKILL.md. This is not a grade and does not compare to the instruction-depth verdict on an MCP server — a skill has no tools to document, so that rubric does not apply to it.
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source ↗ · skill:redis/redis-semantic-cache
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Measured 2026-08-14 · scorer s5 · how · something wrong here?