shopify-performance-tuning

Optimize Shopify API performance with GraphQL query cost reduction, bulk operations, caching strategies, and Storefront API for high-traffic storefronts. Use when queries are slow or hitting THROTTLED errors, exporting large datasets, or optimizing API throughput for a high-traffic storefront. Trigger with phrases like "shopify performance", "optimize shopify", "shopify slow", "shopify caching", "shopify bulk operation", "shopify query cost".

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Repositório: jeremylongshore/tons-of-skills-marketplace
Última atividade na origem: 17 de julho de 2026 às 22:18
Idioma detectado do SKILL.md: inglês
Estrelas: 2.677
Forks: 392

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npx skills add https://github.com/jeremylongshore/tons-of-skills-marketplace --skill shopify-performance-tuning

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SKILL.md

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langchain-deploy-integration

Deploy a LangChain 1.0 / LangGraph 1.0 app to Cloud Run, Vercel, or LangServe correctly — with timeouts sized for chain length, cold-start mitigation, SSE anti-buffering headers, and Secret Manager over .env. Use when prepping a first production deploy, debugging a stream that hangs behind a proxy, or diagnosing p99 latency spikes. Trigger with "langchain deploy", "langchain cloud run", "langchain vercel python", "langchain langserve", or "langchain docker".

2026-08-26

langchain-langgraph-agents

Build a correct LangGraph 1.0 ReAct agent with create_react_agent — typed tools, error propagation, recursion caps, and stop conditions that actually stop. Use when writing a first tool-calling agent, migrating from AgentExecutor or initialize_agent, or diagnosing an agent that loops on vague prompts. Trigger with "langgraph agent", "create_react_agent", "langgraph tool calling", "AgentExecutor migration", or "agent loop cost".

2026-08-26

langchain-langgraph-human-in-loop

Build LangGraph 1.0 human-in-the-loop approval flows with interrupt_before / interrupt_after and Command(resume=...) — JSON-serializable state, clean resume semantics, and UI wiring for approval decisions. Use when adding an approval gate before an expensive tool call, wiring a Slack/web UI for agent approvals, or debugging a graph that crashes on interrupt. Trigger with "langgraph human in loop", "langgraph interrupt_before", "langgraph approval flow", "Command resume", "langgraph HITL".

2026-08-26

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name	shopify-performance-tuning
description	Optimize Shopify API performance with GraphQL query cost reduction, bulk operations, caching strategies, and Storefront API for high-traffic storefronts. Use when queries are slow or hitting THROTTLED errors, exporting large datasets, or optimizing API throughput for a high-traffic storefront. Trigger with phrases like "shopify performance", "optimize shopify", "shopify slow", "shopify caching", "shopify bulk operation", "shopify query cost".
allowed-tools	Read, Write, Edit
version	2.7.0
license	MIT
author	Jeremy Longshore <jeremy@intentsolutions.io>
tags	["saas","ecommerce","shopify"]
compatibility	Designed for Claude Code

Shopify Performance Tuning

Overview

Optimize Shopify API performance through GraphQL query cost reduction, bulk operations for large data exports, response caching, and Storefront API for high-traffic public-facing queries.

Prerequisites

Understanding of Shopify's calculated query cost system
Access to the Shopify-GraphQL-Cost-Debug: 1 header for cost analysis
Redis or in-memory cache available (optional)

Instructions

Step 1: Analyze and Reduce Query Cost

Use the debug header to inspect requestedQueryCost vs actualQueryCost. Reduce cost by selecting only needed fields and lowering first: page sizes (250 to 50 can cut cost by 5x).

See Query Cost Optimization for debug commands and before/after examples.

Step 2: Use Bulk Operations for Large Exports

Bulk operations bypass rate limits and are designed for exporting large datasets. Start a mutation, poll for completion, then download JSONL results.

See Bulk Operations for the complete mutation/poll/download flow and performance comparison table.

Step 3: Cache Frequently Accessed Data

LRU cache layer with webhook-driven invalidation. Cache product data for 5 minutes, then clear on products/update webhook events.

See Response Caching for the complete implementation.

Step 4: Use Storefront API for Public Queries

The Storefront API has separate rate limits and is designed for high-traffic public storefronts. Uses LATEST_API_VERSION from @shopify/shopify-api.

See Storefront API Usage for the complete implementation.

Output

Query costs reduced through field selection and page size optimization
Bulk operations configured for large data exports
Response caching with webhook-driven invalidation

Issue	Cause	Solution
`THROTTLED` on every query	`requestedQueryCost` too high	Reduce `first:` and remove unused fields
Bulk operation FAILED	Query syntax error	Test query in GraphiQL first
Stale cache data	Cache not invalidated	Add webhook handlers to clear cache
Storefront API 403	Wrong token type	Use Storefront API access token, not Admin

shopify-performance-tuning

Opções de instalação

Revise os arquivos de origem

Shopify Performance Tuning

Overview

Prerequisites

Instructions

Step 1: Analyze and Reduce Query Cost

Step 2: Use Bulk Operations for Large Exports

Step 3: Cache Frequently Accessed Data

Step 4: Use Storefront API for Public Queries

Output

Shopify Performance Tuning

Overview

Prerequisites

Instructions

Step 1: Analyze and Reduce Query Cost

Step 2: Use Bulk Operations for Large Exports

Step 3: Cache Frequently Accessed Data

Step 4: Use Storefront API for Public Queries

Output

Error Handling

Examples

Reducing Query Cost on a Product Sync

Exporting Orders with Bulk Operations

Caching Product Data with Webhook Invalidation

Resources

shopify-performance-tuning

Informações da origem

Opções de instalação

Revise os arquivos de origem

Mais deste repositório

Mais deste repositório

Shopify Performance Tuning

Overview

Prerequisites

Instructions

Step 1: Analyze and Reduce Query Cost

Step 2: Use Bulk Operations for Large Exports

Step 3: Cache Frequently Accessed Data

Step 4: Use Storefront API for Public Queries

Output

Shopify Performance Tuning

Overview

Prerequisites

Instructions

Step 1: Analyze and Reduce Query Cost

Step 2: Use Bulk Operations for Large Exports

Step 3: Cache Frequently Accessed Data

Step 4: Use Storefront API for Public Queries

Output

Error Handling

Examples

Reducing Query Cost on a Product Sync

Exporting Orders with Bulk Operations

Caching Product Data with Webhook Invalidation

Resources