Individual skill
alchemy-performance-tuning
Tune Alchemy-backed reads with measured latency, cache semantics, batching, concurrency, and freshness SLOs. Use when an integration is slow or wasteful. Trigger with "optimize Alchemy performance", "cache Alchemy data", or "reduce Alchemy latency".
skills/.curated/alchemy-performance-tuning/SKILL.md
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- ai Repository topic
- automation Repository topic
- claude-code Repository topic
- devops Repository topic
- mcp Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- claude-code-plugins Repository topic
- developer-tools Repository topic
- llm Repository topic
- saas Declared skill tag
- alchemy Declared skill tag
- performance Declared skill tag
- caching Declared skill tag
- engineering Derived category
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# Alchemy Performance and Freshness Tuning
## Overview
Tune Alchemy-backed reads with measured latency, cache semantics, batching, concurrency, and freshness SLOs. This workflow produces a reviewable artifact and negative-path evidence before any live side effect.
## Prerequisites
- Current first-party Alchemy documentation for the selected product, chain, feature, client, authentication method, limit, and lifecycle.
- Named product, application, security, data/privacy, budget, release, and operations owners appropriate to the requested scope.
- Synthetic or approved non-production fixtures, a credential canary, explicit success criteria, and a tested rollback boundary.
## Current Contract
Performance depends on endpoint family, chain, response size, pagination, account throughput, region, cache state, and application work. There is no universal latency or batch-size guarantee. Optimization must preserve chain context, finality, partial-error semantics, and the product's freshness contract.