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企业业务快照_business-pulse

企业业务快照_business-pulse
📅 发布时间:2026/7/27 9:12:08

以下为本文档的中文说明

该技能为中小企业主生成一页纸的跨职能业务快照,整合来自多个数据源的实时信息,形成一个可快速扫描的业务简报。技能的核心能力是主动调用所有可用的数据连接器,将零散的业务数据综合为有洞察力的摘要,并指出当天最关键的一个行动项。技能的工作流程是并行拉取数据——一次性地从所有连接的系统中获取最新信息:从QuickBooks获取现金余额、月度收入、应收款项和逾期发票;从PayPal/Square获取7天结算金额、销售趋势和失败/待处理交易;从HubSpot获取按阶段划分的管道、移动/关闭的交易、变冷的交易以及新线索;从Google日历获取本周承诺的会议和事件;从Gmail/Slack获取紧急的关注列表。所有数据收集后,技能会将其综合为一页纸的快照,包括现金状况仪表盘、销售趋势概览、管道健康度检查、本周关键承诺以及最需要关注的一个事项。使用场景包括每天早上获取业务概览、周一的周报生成、以及任何时候当用户询问“业务怎么样了”或“我错过了什么”时。核心原则是“不提问,直接做”——技能会主动尝试每一个可用的连接器,不要求用户提供数据来源,有多少连接器就生成多大范围的快照,而不是因为没有全部连接就放弃。技能在数据综合阶段使用了智能摘要算法,不是简单罗列数据,而是主动识别趋势变化和异常信号。例如,它会对比本周与上周的现金余额变化趋势、标记销售额的异常波动、识别管道中长时间未推进的停滞交易、以及从通讯中提取需要紧急处理的事项。输出的业务快照采用结构化格式,每个模块都有清晰的视觉分隔和关键数据突出显示,让忙碌的企业主可以在30秒内掌握全貌。技能还会根据当前业务状况给出可操作的建议,例如现金余额低于安全线时的节约建议、销售趋势下滑时的营销策略建议、管道中关键交易停滞时的跟进提醒等。核心设计理念是让数据为决策服务,而非让用户在海量数据中自行寻找答案。


Business Pulse

One prompt, one page. Pull live data from every connected tool, synthesize it into a single scannable brief, and surface the single most important thing to act on today. Do the work — don’t ask the user to help find the data.

Step 1 — Pull data in parallel

Dispatch all connector calls in a single parallel batch— seereference/data_sources.mdfor the exact tool-to-metric mapping. Do not pull serially; latency turns a 30-second skill into a painful wait.

Connectors to attempt simultaneously:

  • QuickBooks— cash balance, MTD revenue, outstanding receivables, overdue invoices
  • PayPal / Square— 7-day settlements, sales trend, failed/pending transactions
  • HubSpot— pipeline by stage, deals moved/closed, deals gone cold, new leads
  • Google Calendar— key meetings, deadlines, events this week and next 7 days
  • Gmail— threads flagged urgent, customer complaints, time-sensitive requests
  • Slack / Teams— urgent internal signals, threads needing owner attention
  • Intercom / Zendesk— open tickets, escalations (if connected)
  • Shopify / Square— fulfillment issues (if connected)

If a connector errors or returns no data, record it internally and move on. Never block the pulse on a single bad integration.

QuickBooks fallback: if QBO returns an unexpected state (account not connected, sync pending, empty response), mark the Cash section “n/a — QuickBooks unavailable” and proceed. Do not retry or ask the user to reconnect.

Gmail fallback: Gmail auth is intermittently flaky. If the call errors, skip the Watch List section silently and note “Gmail unavailable” in the appendix — do not surface an error mid-pulse.

Step 2 — Compute metrics

Readreference/thresholds.mdfor red/yellow/green cutoffs. Compute:

  • AR aging— open QuickBooks invoices grouped by days since due date (0–30, 31–60, 61+)
  • Pipeline coverage— HubSpot weighted pipeline ÷ monthly revenue target
  • Revenue trend— this month’s QBO revenue vs. prior month (or 7-day PayPal/Square vs. prior 7 days)

Assign a 🟢/🟡/🔴 status to each section. If a source returned nothing, mark the metric “n/a” and note it in the appendix.

Step 3 — Flag risks proactively

Scan for actionable items. Every risk entry must name a specific record and a next step — “some overdue invoices” is useless; “$3,400 from Acme Corp, 47 days overdue, no response since Mar 12” is actionable.

  • QuickBooks invoices past due > 30 days — name customer, amount, days overdue
  • HubSpot deals with no activity in 7+ days, or close date in past but still open
  • Gmail threads marked urgent or containing “escalation,” “complaint,” “cancel,” “refund”
  • Failed or pending PayPal/Square transactions > $500

Step 4 — Compose the output

Use the exact template inreference/output_template.md. Include only sections where real data exists — omit headers for connectors that weren’t available. Adapt depth to context: a casual “how are we doing” gets a fuller report; “quick snapshot before a call” gets a tighter one.

Cross-connector synthesis is where this skill earns its keep. If a Slack message connects to a stalled HubSpot deal, surface that link in the #1 Priority section. Synthesis is what makes the pulse more useful than checking each tool separately.

Writing rules:

  • Numbers lead, words follow. Never write “revenue is healthy” — write “$43k this month, ▲ 8% MoM” and let the owner judge.
  • Every number carries a delta vs. the prior period where available. Absolute snapshots (cash balance) still show WoW delta.
  • Names and dollars, not adjectives. “$4,200 from Acme, 23 days overdue” beats “some concerning receivables.”
  • No filler. If a section has nothing worth reporting, write “No material changes” and move on.

Step 5 — Export and share (once)

After presenting the pulse, offer once:

  • “Want me to save this as a file?” (use Files connector if available)
  • “Should I post this to your Slack?” (only if Slack is connected and the user confirms — Slack writ
    e requires explicit approval)

If they say yes, do it. If they say no or don’t respond, move on — don’t ask again.

Scope variants

The owner may ask for a narrower cut:

  • “Just cash” / “financial check”→ only Cash & Finance + AR-related risks
  • “Pipeline only” / “deals check”→ only Pipeline section + stalled-deal risks
  • “Watch list” / “anything urgent”→ only Watch List + all risks, no metric sections
  • “Quick snapshot before a call”→ TL;DR + #1 Priority only, no full sections

What not to do

  • Do not ask permission before pulling data.If the skill was invoked, run it. Asking “should I check QuickBooks?” defeats the whole point.
  • Do not invent or estimate numbers.If a source returned nothing, say “n/a” explicitly. Never fill a gap with guesswork.
  • Do not skip the delta.A number without a comparison is a missed insight. If there’s no prior-period baseline, say “(no prior baseline)” rather than omitting the field.
  • Do not surface connector errors mid-pulse.Log them to the appendix. The pulse leads with what was delivered.

Reference files

  • reference/data_sources.md— exact connector tool → metric mapping with fallbacks
  • reference/thresholds.md— 🟢/🟡/🔴 cutoffs, tunable per owner
  • reference/output_template.md— exact markdown structure; do not deviate
  • reference/gotchas.md— known failure modes (QB states, Gmail auth, Slack write)

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