shopify-cost-tuning
Optimize Shopify app costs through plan selection, API usage monitoring, and Shopify Plus upgrade analysis. Use when analyzing API spend, choosing between Shopify plans, or reducing billable API calls. Trigger with phrases like "shopify cost", "shopify billing", "shopify pricing", "shopify Plus worth it", "shopify API usage", "reduce shopify costs".
What this skill does
# Shopify Cost Tuning
## Overview
Optimize Shopify app and API costs through plan analysis, API usage monitoring, and strategies to minimize billable API calls. Covers Shopify store plans, Partner app billing, and API efficiency.
## Prerequisites
- Access to Shopify Partner Dashboard for app billing
- Understanding of current API usage patterns
- Knowledge of merchant's Shopify plan
## Instructions
### Step 1: Understand Shopify Plan Rate Limits
API rate limits are determined by the **merchant's** plan, not your app:
| Merchant Plan | REST Bucket | REST Leak Rate | GraphQL Points | GraphQL Restore |
|--------------|-------------|----------------|----------------|-----------------|
| Basic Shopify | 40 requests | 2/second | 1,000 points | 50/second |
| Shopify | 40 requests | 2/second | 1,000 points | 50/second |
| Advanced | 40 requests | 2/second | 1,000 points | 50/second |
| Shopify Plus | 80 requests | 4/second | 2,000 points | 100/second |
**Key insight:** Upgrading from Basic to Advanced doesn't help rate limits. Only Plus doubles them.
### Step 2: App Billing API
If your app charges merchants, use the GraphQL `appSubscriptionCreate` mutation to create recurring charges. Set `test: true` in development to avoid real billing.
See [App Billing API](references/app-billing-api.md) for the complete mutation and variable setup.
### Step 3: Monitor API Usage
Track GraphQL query costs and REST call counts over time to identify optimization opportunities. Log `extensions.cost.actualQueryCost` from every GraphQL response.
See [Usage Tracker Class](references/usage-tracker-class.md) for a complete tracking implementation with reporting.
### Step 4: Cost Reduction Strategies
Four key strategies: replace REST with GraphQL for targeted field selection, use bulk operations for exports, cache responses and invalidate via webhooks, and use Storefront API for public data.
See [Cost Reduction Strategies](references/cost-reduction-strategies.md) for code examples of each approach.
## Output
- API usage monitored with cost tracking
- Rate limit-efficient query patterns
- App billing configured (if charging merchants)
- Cost reduction strategies applied
## Error Handling
| Issue | Cause | Solution |
|-------|-------|----------|
| Frequent throttling | High query cost | Reduce fields, use bulk ops |
| High hosting costs | Too many API calls | Cache responses, use webhooks |
| App billing rejection | Test mode not set | Use `test: true` in development |
| Merchant cancels | Unexpected charges | Clear billing in app onboarding |
## Examples
### Quick Usage Check
```typescript
// After every GraphQL call, log the cost
const response = await client.request(query);
const cost = response.extensions?.cost;
if (cost) {
console.log(
`Query cost: ${cost.actualQueryCost}/${cost.throttleStatus.maximumAvailable} ` +
`(${cost.throttleStatus.currentlyAvailable} available)`
);
}
```
## Resources
- [Shopify API Rate Limits](https://shopify.dev/docs/api/usage/rate-limits)
- App Billing API
- [Shopify Pricing](https://www.shopify.com/pricing)
- [Shopify Plus Rate Limits](https://shopify.dev/changelog/increased-admin-api-rate-limits-for-shopify-plus)
Related in Backend & APIs
jfrog
IncludedInteract with the JFrog Platform via the JFrog CLI and REST/GraphQL APIs. Use this skill when the user wants to manage Artifactory repositories, upload or download artifacts, manage builds, configure permissions, manage users and groups, work with access tokens, configure JFrog CLI servers, search artifacts, manage properties, set up replication, manage JFrog Projects, run security audits or scans, look up CVE details, query exposures scan results from JFrog Advanced Security, manage release bundles and lifecycle operations, aggregate or export platform data, or perform any JFrog Platform administration task. Also use when the user mentions jf, jfrog, artifactory, xray, distribution, evidence, apptrust, onemodel, graphql, workers, mission control, curation, advanced security, exposures, or any JFrog product name.
cupynumeric-migration-readiness
IncludedPre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers.
alibabacloud-data-agent-skill
IncludedInvoke Alibaba Cloud Apsara Data Agent for Analytics via CLI to perform natural language-driven data analysis on enterprise databases. Data Agent for Analytics is an intelligent data analysis agent developed by Alibaba Cloud Database team for enterprise users. It automatically completes requirement analysis, data understanding, analysis insights, and report generation based on natural language descriptions. This tool supports: discovering data resources (instances/databases/tables) managed in DMS, initiating query or deep analysis sessions, real-time progress tracking, and retrieving analysis conclusions and generated reports. Use this Skill when users need to query databases, analyze data trends, generate data reports, ask questions in natural language, or mention "Data Agent", "data analysis", "database query", "SQL analysis", "data insights".
token-optimizer
IncludedReduce OpenClaw token usage and API costs through smart model routing, heartbeat optimization, budget tracking, and native 2026.2.15 features (session pruning, bootstrap size limits, cache TTL alignment). Use when token costs are high, API rate limits are being hit, or hosting multiple agents at scale. The 4 executable scripts (context_optimizer, model_router, heartbeat_optimizer, token_tracker) are local-only — no network requests, no subprocess calls, no system modifications. Reference files (PROVIDERS.md, config-patches.json) document optional multi-provider strategies that require external API keys and network access if you choose to use them. See SECURITY.md for full breakdown.
resend-cli
IncludedUse this skill when the task is specifically about operating Resend from an AI agent, terminal session, or CI job via the official resend CLI: installing/authenticating the CLI, sending/listing/updating/cancelling emails, batch sends, domains and DNS, webhooks and local listeners, inbound receiving, contacts, topics, segments, broadcasts, templates, API keys, profiles, or debugging Resend CLI/API failures. Trigger on mentions of Resend CLI, `resend`, `resend doctor`, `resend emails send`, `resend domains`, `resend webhooks listen`, `resend emails receiving`, or agent-friendly terminal automation.
alibabacloud-odps-maxframe-coding
IncludedUse this skill for MaxFrame SDK development and documentation navigation on Alibaba Cloud MaxCompute (ODPS). Helps answer MaxFrame API, concept, official example, and supported pandas API questions; create data processing programs; read/write MaxCompute tables; debug jobs (remote or local); and build custom DPE runtime images. Trigger when users mention MaxFrame, MaxCompute with MaxFrame, ODPS table processing, DPE runtime, MaxFrame docs/examples, DataFrame/Tensor operations, or GPU runtime setup. Works for both English and Chinese queries about Alibaba Cloud data processing with MaxFrame.