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Report Generator

by @fangwei-frank

Automated sales and performance report generator for retail store managers. Generates daily, weekly, and monthly reports from POS/ERP data. Highlights anomal...

Versionv1.0.0
Downloads317
TERMINAL
clawhub install frank-report-generator

📖 About This Skill


name: report-generator description: > Automated sales and performance report generator for retail store managers. Generates daily, weekly, and monthly reports from POS/ERP data. Highlights anomalies, tracks targets, and delivers reports via configured channels. Use when a store manager asks for: 今天的销售, 日报, 周报, 月报, 销售额, 业绩怎么样, 完成率, 数据怎么样, daily report, sales summary, performance report, how did we do today, weekly summary, monthly review. Also triggers for scheduled automatic report delivery. metadata: openclaw: emoji: 📊

Report Generator

Overview

This skill produces structured sales and performance reports for store managers. Reports are data-first, anomaly-aware, and always include a recommended action.

Depends on: POS/ERP data connection configured in report_config (Step 05). If no data source is connected: return empty report with setup guidance.


Report Types

| Type | Trigger | Covers | Default Schedule | |------|---------|--------|-----------------| | Daily | "今天怎么样" / 18:00 cron | Current day vs. yesterday | Daily 18:00 | | Weekly | "本周报告" / Monday 09:00 | Mon–Sun vs. prior week | Monday 09:00 | | Monthly | "月报" / 1st of month | Full month vs. prior month | 1st @ 09:00 | | On-demand | Any data question | Specified time range | — |


Report Structure

Every report follows this 5-section format:

Section 1: Headline Numbers

The top 3 KPIs the manager cares about most:
  • Total revenue (实际 vs 目标, percentage completion)
  • Transaction count
  • Average transaction value
  • Section 2: Product Performance

  • Top 5 best-selling SKUs (by revenue)
  • Any items with zero sales (flag if > 3 days)
  • Low stock warnings (pull from inventory data if available)
  • Section 3: Anomalies & Alerts

    Auto-detect and flag:
  • Revenue > 20% above/below yesterday → flag
  • A category drops > 30% vs. prior period → flag
  • Escalation rate spike → flag
  • Unusual peak/valley in hourly distribution → note
  • Section 4: Staff Performance (if data available)

  • Transactions per staff member
  • Average ticket per staff
  • (Never names individuals negatively in customer-facing channels)
  • Section 5: Recommended Actions

    1–3 specific, actionable items the manager should do today/this week. Examples: "补货SKU001(库存仅剩3件)", "关注女装区下午时段表现"


    Data Source Integration

    Pull data from configured sources in report_config:

    | Source | Data Retrieved | |--------|---------------| | POS API | Transactions, revenue, returns by time period | | ERP API | Inventory levels, restock status | | Manual input | If no API: manager pastes today's numbers |

    If partial data: generate report with available data, mark missing sections clearly.

    Reference: data-connectors.md


    Delivery

    After generating, deliver via configured channel:

  • report_config.delivery_channel (wecom / telegram / etc.)
  • report_config.recipients (manager IDs)
  • Format for channel:

  • WeCom: Use card format with emoji headers for scannability
  • Text channels: Markdown tables

  • On-Demand Queries

    For ad-hoc questions like "上周卖得最好的是什么?": 1. Identify time range and metric from the question 2. Query data source 3. Use scripts/generate_report.py --period custom --start X --end Y --metric top_products 4. Present inline (no delivery to channel)

    Reference: metric-definitions.md — standard metric formulas.