Add AI query result caching with semantic similarity
Implement AI query result caching with semantic similarity to reduce API costs. Use when you have repetitive AI queries in your codebase.
/plugin marketplace add vanman2024/ai-dev-marketplace/plugin install redis@ai-dev-marketplacenoneArguments: $ARGUMENTS Security: @~/.claude/plugins/marketplaces/dev-lifecycle-marketplace/docs/security/SECURITY-RULES.md
Goal: Add semantic caching for AI query results.
Phase 1: Detect AI usage in project Phase 2: Ask for similarity threshold (0.85-0.95) Phase 3: Task(subagent_type="redis:semantic-cache-specialist") to implement Phase 4: Tune similarity threshold, measure savings Phase 5: Summary with cost reduction metrics