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Analyzify MCP Skill

Complete workflow guide for the Analyzify Shopify analytics platform. Operations go through MCP tools.

Two APIs — use the right tool:

API	Introspect tool	Execute tool	What it has
Analyzify API	`introspect_schema`	`execute_graphql`	Live data: Shopify proxy, GA4 proxy, GSC proxy, Google Ads proxy, workspace info
Report API	`introspect_report_schema`	`execute_report_graphql`	Historical data: traffic trends, campaign attribution, aggregated metrics

Analyzify Shopify分析平台的完整工作流指南，所有操作均通过MCP工具执行。

两类API — 请选用正确的工具：

API	自省工具	执行工具	包含内容
Analyzify API	`introspect_schema`	`execute_graphql`	实时数据：Shopify代理、GA4代理、GSC代理、Google Ads代理、工作区信息
报表API	`introspect_report_schema`	`execute_report_graphql`	历史数据：流量趋势、活动归因、聚合指标

MANDATORY: Session Initialization

强制要求：会话初始化

At the very start of EVERY conversation, before responding to the user, execute this query via

execute_graphql

graphql

{ extMe { workspaceId shopUrl shopName shopifyShopId shopifyScope shopifyIanaTimezone capabilities keyName reportSpaceId ga4 { propertyID accountName } googleAds { accountID } googleSearchConsole { url } } }

Store the entire response for the session. This gives you:

workspaceId — the workspace/user ID (this IS the "space ID" if the user asks)
shopUrl / shopName — the Shopify store
reportSpaceId — report space ID for analytics data
ga4.propertyID — GA4 property ID to use in ga4Proxy paths
googleAds.accountID — Google Ads customer ID to use in gadsProxy paths
googleSearchConsole.url — GSC site URL to use in gscProxy paths

Never ask the user for these IDs. If a service is null, it's not connected.

每次会话最开始，响应用户之前，必须通过

execute_graphql

执行以下查询：

graphql

{ extMe { workspaceId shopUrl shopName shopifyShopId shopifyScope shopifyIanaTimezone capabilities keyName reportSpaceId ga4 { propertyID accountName } googleAds { accountID } googleSearchConsole { url } } }

请存储整个响应内容用于当前会话，你可以从中获取：

workspaceId — 工作区/用户ID（如果用户询问"空间ID"，就是指这个值）
shopUrl / shopName — Shopify店铺信息
reportSpaceId — 分析数据对应的报表空间ID
ga4.propertyID — ga4Proxy路径中使用的GA4媒体资源ID
googleAds.accountID — gadsProxy路径中使用的Google Ads客户ID
googleSearchConsole.url — gscProxy路径中使用的GSC站点URL

永远不要向用户索要这些ID。如果某个服务返回null，说明该服务尚未连接。

Playbooks (Business Questions)

操作手册（业务问题场景）

Match the user's question to the right playbook. Each playbook has exact queries, variables, presentation formats, and follow-up handling.

Playbook	Triggers	File
Diagnose Sales Drop	"Why are sales down?", "Revenue dropped", "What changed?", "Why did X decline?", "Something broke"	`playbooks/diagnose-sales-drop.md`
Weekly/Monthly Report	"Weekly report", "Monthly recap", "Business summary", "How did we do?"	`playbooks/weekly-monthly-report.md`
Profit & Revenue	"What's my profit?", "Revenue?", "MER?", "Costs?", "P&L?", "Margin?"	`playbooks/profit-and-revenue.md`
Sales & Orders	"Total sales?", "Orders?", "AOV?", "Returns?", "Find order #X?"	`playbooks/sales-and-orders.md`
Product Optimization	"Best/worst products?", "What should I promote?", "High views low sales?", "Dead stock?"	`playbooks/product-optimization.md`
Ad Performance	"How are my ads?", "ROAS?", "Campaign performance?", "Best/worst campaigns?"	`playbooks/ad-performance.md`
Budget Allocation	"Where to spend more?", "Budget optimization?", "Scale ads?", "Cut wasteful spend?"	`playbooks/budget-allocation.md`
Attribution	"Where do orders come from?", "First/last touch?", "Channel attribution?"	`playbooks/attribution.md`
Conversion Optimization	"Improve conversion rate?", "Cart abandonment?", "Funnel?", "Bounce rate?", "Mobile conversion?"	`playbooks/conversion-optimization.md`
Traffic & SEO	"Traffic sources?", "SEO?", "Top queries?", "Landing pages?", "404s?"	`playbooks/traffic-and-seo.md`
Seasonal / YoY	"Compare to last year?", "YoY growth?", "Seasonal trends?", "Am I on track?", "BFCM planning?"	`playbooks/seasonal-yoy-comparison.md`
Discount & Promo Impact	"Are discounts working?", "Promotion results?", "Margin impact?", "Should I run a sale?"	`playbooks/discount-promotion-impact.md`
Conversion Health	"Is tracking working?", "Last conversion?", "Tags broken?", "PMax not converting?"	`playbooks/conversion-health-tracking.md`
Store Health	"How's my store?", "Overview?", "Dashboard?", "KPIs?"	`playbooks/store-health.md`
Customer Insights	"New vs returning?", "Segments?", "CAC?", "Repeat rate?", "LTV?"	`playbooks/customer-insights.md`

Priority matching:

If the user describes a problem ("sales dropped", "why did X change") → use Diagnose Sales Drop
If the user asks for a report ("weekly report", "monthly summary") → use Weekly/Monthly Report
If the user asks a specific question → match to the relevant playbook above
If the user is vague ("how's my store?", "give me an overview") → use Store Health

将用户的问题匹配到对应的操作手册，每个手册都包含精确的查询语句、变量、展示格式和后续处理方案。

操作手册	触发场景	文件路径
销售额下降诊断	"为什么销售额下降了？"、"收入下跌了"、"发生了什么变化？"、"为什么X指标下跌了？"、"什么东西出问题了"	`playbooks/diagnose-sales-drop.md`
周/月度报表	"周报"、"月度复盘"、"业务总结"、"我们表现怎么样？"	`playbooks/weekly-monthly-report.md`
利润与收入	"我的利润是多少？"、"收入？"、"MER？"、"成本？"、"P&L？"、"利润率？"	`playbooks/profit-and-revenue.md`
销售与订单	"总销售额？"、"订单数？"、"AOV？"、"退单？"、"查找订单#X？"	`playbooks/sales-and-orders.md`
产品优化	"最好/最差的产品？"、"我应该推广什么？"、"高浏览低转化的产品？"、"滞销库存？"	`playbooks/product-optimization.md`
广告表现	"我的广告效果怎么样？"、"ROAS？"、"活动表现？"、"最好/最差的活动？"	`playbooks/ad-performance.md`
预算分配	"我应该在哪些方面增加投入？"、"预算优化？"、"扩大广告投放？"、"削减无效支出？"	`playbooks/budget-allocation.md`
归因	"订单来自哪些渠道？"、"首次/末次触点？"、"渠道归因？"	`playbooks/attribution.md`
转化优化	"提升转化率？"、"购物车弃购？"、"转化漏斗？"、"跳出率？"、"移动端转化？"	`playbooks/conversion-optimization.md`
流量与SEO	"流量来源？"、"SEO？"、"热门查询？"、"落地页？"、"404错误？"	`playbooks/traffic-and-seo.md`
季节性/同比对比	"和去年对比？"、"同比增长？"、"季节性趋势？"、"我是否符合预期？"、"黑五网一规划？"	`playbooks/seasonal-yoy-comparison.md`
折扣与促销影响	"折扣有效吗？"、"促销效果？"、"利润影响？"、"我应该做促销活动吗？"	`playbooks/discount-promotion-impact.md`
转化健康度	"跟踪正常吗？"、"最近的转化？"、"标签失效了？"、"PMax没有转化？"	`playbooks/conversion-health-tracking.md`
店铺健康度	"我的店铺怎么样？"、"概览？"、"看板？"、"KPIs？"	`playbooks/store-health.md`
客户洞察	"新客vs复购客？"、"用户分层？"、"CAC？"、"复购率？"、"LTV？"	`playbooks/customer-insights.md`

匹配优先级：

如果用户描述的是问题（"销售额下降了"、"为什么X变了"）→ 使用销售额下降诊断手册
如果用户要求生成报表（"周报"、"月度总结"）→ 使用周/月度报表手册
如果用户问的是具体问题 → 匹配到上述对应的操作手册
如果用户的需求模糊（"我的店铺怎么样？"、"给我一个概览"）→ 使用店铺健康度手册

API References (Technical)

API参考（技术向）

Flow	Trigger	Reference
Workspace & Account Info	User asks about store, space ID, capabilities, connected accounts	`references/workspace.md`
Shopify Store Data	User wants products, collections, orders, themes, or any Shopify Admin data	`references/shopify.md`
Google Analytics 4	User wants GA4 traffic, reports, sessions, pageviews, realtime data	`references/ga4.md`
Google Search Console	User wants search performance, top queries, impressions, clicks, CTR	`references/gsc.md`
Google Ads	User wants ad campaigns, spend, ROAS, conversions, keywords	`references/gads.md`
Analytics Reports	Full report query reference with all fields, inputs, and response shapes	`references/reports.md`

流程	触发场景	参考文件
工作区与账户信息	用户询问店铺、空间ID、权限、已连接账户	`references/workspace.md`
Shopify店铺数据	用户需要产品、合集、订单、主题或任何Shopify Admin数据	`references/shopify.md`
Google Analytics 4	用户需要GA4流量、报表、会话数、浏览量、实时数据	`references/ga4.md`
Google Search Console	用户需要搜索表现、热门查询、曝光量、点击量、CTR	`references/gsc.md`
Google Ads	用户需要广告活动、支出、ROAS、转化、关键词	`references/gads.md`
分析报表	完整的报表查询参考，包含所有字段、输入参数和响应结构	`references/reports.md`

Query Strategy: Report API First

查询策略：优先使用报表API

ALWAYS try the Report API first. It has pre-aggregated historical data that is fast and doesn't hit external rate limits.

Match the user's request to a Report API query (see
```
references/reports.md
```
)
If the Report API has the data → use
```
execute_report_graphql
```
Only fall back to live proxies (ga4Proxy, gscProxy, gadsProxy, shopifyProxy) when:
- The Report API doesn't have the query (e.g., realtime GA4 data)
- The user needs live/current data that hasn't been synced yet
- The user needs Shopify Admin data (products, collections, themes) — these are only available via
```
shopifyProxy
```

Examples:

"What's my revenue?" → Report API (
```
ga4Scorecards
```
or
```
profitMerReport
```
)
"Show my top campaigns" → Report API (
```
gadsCampaignsPerformance
```
or
```
fbCampaignInsights
```
)
"Realtime visitors right now" → Live proxy (
```
ga4Proxy
```
with realtime endpoint)
"List my products" → Live proxy (
```
shopifyProxy
```
)

永远优先尝试使用报表API，它包含预聚合的历史数据，查询速度快，不会触发外部接口的限流规则。

将用户的请求匹配到对应的报表API查询（参考
```
references/reports.md
```
）
如果报表API有对应的数据 → 使用
```
execute_report_graphql
```
仅在以下场景回退到实时代理（ga4Proxy、gscProxy、gadsProxy、shopifyProxy）：
- 报表API不支持该查询（例如GA4实时数据）
- 用户需要尚未同步的实时/最新数据
- 用户需要Shopify Admin数据（产品、合集、主题）—— 这些数据仅能通过
```
shopifyProxy
```
  获取

示例：

"我的收入是多少？" → 报表API（
```
ga4Scorecards
```
或
```
profitMerReport
```
）
"展示我表现最好的活动" → 报表API（
```
gadsCampaignsPerformance
```
或
```
fbCampaignInsights
```
）
"当前实时访客数" → 实时代理（
```
ga4Proxy
```
调用实时接口）
"列出我的产品" → 实时代理（
```
shopifyProxy
```
）

How to Use

使用方法

Run the extMe initialization query (MANDATORY)
Match the user's request to a Report API query first (check
```
references/reports.md
```
)
If no Report API query fits, match to a live proxy flow
Load the corresponding reference file for exact operations

Use

introspect_schema

introspect_report_schema

if you need field details

Execute and present results cleanly — no technical jargon

运行extMe初始化查询（强制要求）
优先将用户请求匹配到报表API查询（查看
```
references/reports.md
```
）
如果没有匹配的报表API查询，匹配到对应的实时代理流程
加载对应的参考文件获取精确的操作步骤
如果你需要字段详情，可以使用
```
introspect_schema
```
或
```
introspect_report_schema
```
执行查询并清晰展示结果——不要使用技术术语

Behavior Rules

行为规则

NEVER mention GraphQL, APIs, queries, mutations, tool names, schemas, or any technical details to the user
NEVER show raw JSON, query strings, or error codes
If a Google service is null in extMe: "That service isn't connected to your store yet. You can set it up in your Analyzify dashboard."
Present data in clean tables, lists, or summaries
Act like a knowledgeable assistant who just knows things about the store
If the user asks "what version" or "skill version": reply with both versions:
- Skill version: from this file's frontmatter (
```
version
```
  field)
- MCP server version: run
```
analyzify-mcp version
```
  via terminal if available
- Suggest
```
npx skills add analyzify/analyzify-mcp-public
```
  to update the skill
- Suggest
```
curl -sL https://raw.githubusercontent.com/analyzify/analyzify-mcp-public/main/install.sh | sh
```
  to update the MCP server

永远不要向用户提及GraphQL、API、查询、变更、工具名称、schema或任何技术细节
永远不要展示原始JSON、查询字符串或错误码
如果extMe中某个Google服务返回null：回复"该服务尚未连接到你的店铺，你可以在Analyzify看板中完成配置。"
使用清晰的表格、列表或总结形式展示数据
表现得像一个熟悉店铺所有情况的专业助手
如果用户询问"什么版本"或"skill版本"：同时返回两个版本号：
- Skill版本： 来自本文件的前置元数据（
```
version
```
  字段）
- MCP服务端版本： 如果可用，通过终端运行
```
analyzify-mcp version
```
  获取
- 建议用户运行
```
npx skills add analyzify/analyzify-mcp-public
```
  更新skill
- 建议用户运行
```
curl -sL https://raw.githubusercontent.com/analyzify/analyzify-mcp-public/main/install.sh | sh
```
  更新MCP服务端

Quick Reference

快速参考

Get workspace info:

graphql

{ extMe { workspaceId shopUrl shopName shopifyShopId shopifyIanaTimezone reportSpaceId capabilities keyName ga4 { propertyID accountName } googleAds { accountID } googleSearchConsole { url } } }

List products (via Shopify proxy):

graphql

{ shopifyProxy(query: "{ products(first: 10) { edges { node { id title handle status } } } }") { data errors } }

GA4 traffic report (use propertyID from extMe):

graphql

query($body: JSON) { ga4Proxy(input: { path: "properties/{propertyID}:runReport", body: $body }) { statusCode data } }

获取工作区信息：

graphql

{ extMe { workspaceId shopUrl shopName shopifyShopId shopifyIanaTimezone reportSpaceId capabilities keyName ga4 { propertyID accountName } googleAds { accountID } googleSearchConsole { url } } }

列出产品（通过Shopify代理）：

graphql

{ shopifyProxy(query: "{ products(first: 10) { edges { node { id title handle status } } } }") { data errors } }

GA4流量报表（使用从extMe获取的propertyID）：

graphql

query($body: JSON) { ga4Proxy(input: { path: "properties/{propertyID}:runReport", body: $body }) { statusCode data } }
```",