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check-demo-analytics检查演示分析

Agent Skill

用于辅助数据整理、表格处理、CSV/Excel 分析、指标计算和图表准备。它适合让 Agent 清洗字段、汇总数据、发现异常、生成统计口径或把分析结果转成可读说明。使用时需要确认数据来源、字段含义和时间范围,避免把样本数据当全量事实;涉及敏感数据、导出文件或批量写回时,应先确认权限和脱敏边界。

总安装

517

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CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:check-demo-analytics(检查演示分析)
来源仓库:https://github.com/psquared-development/psquared-skills
仓库路径:skills/check-demo-analytics
安装命令:
npx skills add https://github.com/psquared-development/psquared-skills --skill check-demo-analytics
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/psquared-development/psquared-skills --skill check-demo-analytics

简介

用于演示环境数据分析,整合 CRM 与 Ackee 统计源生成综合报告。

  • 检查环境变量完整性,拉取访问量、转化漏斗与用户行为指标。
  • 输出格式化分析结果,辅助产品 demo 效果评估与客户说服力构建。
  • 需配置 PSQUARED_CRM_TOKEN 与 ACKEE_DOMAIN 等敏感凭证,注意保密。
  • check-demo-analytics 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Check Demo Analytics

Announce: `` ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Demo Analytics Report Checking environment... ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ``

STEP 0 — Check Environment

Read .env in the current directory and source it.

Required tokens:

  • CRM APIPSQUARED_CRM_TOKEN
  • Ackee APIACKEE_TOKEN, and ACKEE_DOMAIN (base URL, e.g. https://ackee.psquared.dev)

Stop if missing.

Ackee config:

  • API: $ACKEE_DOMAIN/api (GraphQL)
  • Demo domain ID: 4bdddc8c-11d9-4d7e-ab94-aeb7866f0bb2
  • Auth: Authorization: Bearer $ACKEE_TOKEN
Once verified: Environment OK. Pulling analytics...

STEP 1 — Get Demo Page Views from Ackee

Query Ackee for page-level statistics on the demo domain:

curl -s -X POST "$ACKEE_DOMAIN/api" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $ACKEE_TOKEN" \
  -d '{"query":"{ domain(id: \"4bdddc8c-11d9-4d7e-ab94-aeb7866f0bb2\") { statistics { pages(sorting: TOP, range: LAST_30_DAYS) { id value count } views(interval: DAILY, type: UNIQUE, limit: 30) { id count } } } }"}'

From the pages results, extract views per demo page. The value field contains the URL path (e.g., /?id=abc123). Map each id parameter to a demo.

Also get total unique views over the last 30 days from the views array.


STEP 2 — Get Pipeline State from CRM

Query CRM for all active opportunities at SCREENING stage:

curl -s -X POST https://crm.psquared.dev/graphql \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $PSQUARED_CRM_TOKEN" \
  -d '{"query":"{ opportunities(filter: { stage: { eq: SCREENING } }, first: 100) { edges { node { id name demoStatus demoUrl { primaryLinkUrl } company { name } createdAt } } } }"}'

Also get recently converted (PROPOSAL stage):

curl -s -X POST https://crm.psquared.dev/graphql \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $PSQUARED_CRM_TOKEN" \
  -d '{"query":"{ opportunities(filter: { stage: { eq: PROPOSAL } }, first: 20) { edges { node { id name company { name } createdAt } } } }"}'

Also get paying customers (CUSTOMER stage):

curl -s -X POST https://crm.psquared.dev/graphql \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $PSQUARED_CRM_TOKEN" \
  -d '{"query":"{ opportunities(filter: { stage: { eq: CUSTOMER } }, first: 20) { edges { node { id name company { name } createdAt } } } }"}'

STEP 3 — Cross-Reference & Analyze

For each SCREENING opportunity with a demoUrl:

  1. Extract the demoId from the URL (?id=xxx)
  2. Find matching Ackee page views (match on /?id=xxx path)
  3. Calculate days since outreach was sent (from demoStatus timestamps)

Categorize each opportunity:

CategoryCriteriaAction needed
HotViews > 0 + demoStatus = SENT/FOLLOW_UP_SENTProspect is engaging — consider direct outreach
WarmViews > 0 + not yet sentDemo is getting organic traffic — prioritize sending
ColdViews = 0 + SENT > 7 days agoNo engagement — follow-up or deprioritize
FreshSENT < 5 days agoToo early to judge
PendingPENDING_REVIEW or OK_TO_SENDStill in pipeline — not yet sent
ConvertedStage = PROPOSALAlready signed up

STEP 4 — Query Ackee Events

To get event counts, query each event:

curl -s -X POST "$ACKEE_DOMAIN/api" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $ACKEE_TOKEN" \
  -d '{"query":"{ event(id: \"[eventId]\") { statistics { chart(interval: DAILY, type: TOTAL) { id count } list(sorting: TOP, type: TOTAL) { id value count } } } }"}'

Event IDs:

  • CTA Click: Claim Bot — 0f037f1c-c2c0-4205-b90d-3cb9bf66f9c2
  • CTA Click: Discover Platform — 1911cb2c-96a9-478e-8a45-82ae8fa71bc8
  • Widget Opened — df5c0d51-1e96-43a9-8d73-13e0e82e99b3
  • Plan Selected — 8693d36c-09a1-4b86-bf29-763e612f4843

The list query with sorting: TOP shows which demo pages / plans got the most actions. The key field contains the demoId or planId.

Email sent/failed counts: Use GET /stats/funnel from the notification service instead of manually counting drafts. This endpoint returns accurate sent/failed totals per campaign.


STEP 5 — Report

Announce: `` ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Demo Analytics Report — [date] CONVERSION FUNNEL ───────────────── Leads in CRM: [N] Demos built: [N] ([%] of leads) Emails sent: [N] ([%] of demos) Demo page viewed: [N] ([%] of sent — email→click rate) CTA clicked: [N] ([%] of viewed — interest rate) Signed up (PROPOSAL): [N] ([%] of CTA — conversion rate) Paying (CUSTOMER): [N] ([%] of signups — close rate) Overall: [N] leads → [N] customers = [%] conversion At current rate: need ~[X] leads to get 1 paying customer ACKEE EVENTS (last 30 days) ─────────────────────────── Demo page views: [N] unique visitors Widget opened: [N] ([%] of views — engagement) Plan selected: [N] (Starter: [N], Pro: [N], Business: [N]) Activate CTA clicked: [N] Discover platform: [N] PIPELINE STATUS ─────────────── Pending review: [N] Ready to send: [N] Sent: [N] Follow-up sent: [N] Converted: [N] HOT LEADS (views + email sent) - [Company A] — [N] views, sent [N] days ago - [Company B] — [N] views, sent [N] days ago COLD LEADS (no views, 7+ days) - [Company C] — 0 views, sent [N] days ago RECOMMENDATIONS [Based on funnel bottleneck:] - If email→view rate is low: "Subject lines may need work, or emails landing in spam" - If view→CTA rate is low: "Demo pages aren't converting — check offer text, countdown, widget" - If CTA→signup rate is low: "Signup friction too high — check onboarding flow" - If signup→paid rate is low: "Trial experience or pricing needs adjustment" - Plus specific company-level recommendations ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ``

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