cheat-on-content
给所有想把"感觉"变成可校准预测的内容创作者。**方法论通用**——打分 → 盲预测 → T+3d 复盘 → 进化 rubric 的循环适用任何能被量化(播放 / 阅读 / 收听 / 点击)的内容。**rubric 是循环的内容,不是循环本身**——当前内置一份观点视频 rubric(参考博主 25+…
Comprehensive patterns for designing effective Key Performance Indicator (KPI) dashboards that drive business decisions.
$ npx -y skills add LiHongwei-cn/lihongwei-cn --skill kpi-dashboard-design --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/kpi-dashboard-designContext preview
The summary Claude sees to decide when to auto-load this skill.
Comprehensive patterns for designing effective Key Performance Indicator (KPI) dashboards that drive business decisions.
name: kpi-dashboard-design description: "Comprehensive patterns for designing effective Key Performance Indicator (KPI) dashboards that drive business decisions." risk: unknown source: community date_added: "2026-02-27"
Comprehensive patterns for designing effective Key Performance Indicator (KPI) dashboards that drive business decisions.
| Level | Focus | Update Frequency | Audience | | --------------- | ---------------- | ----------------- | ---------- | | **Strategic** | Long-term goals | Monthly/Quarterly | Executives | | **Tactical** | Department goals | Weekly/Monthly | Managers | | **Operational** | Day-to-day | Real-time/Daily | Teams |
Specific: Clear definition Measurable: Quantifiable Achievable: Realistic targets Relevant: Aligned to goals Time-bound: Defined period
├── Executive Summary (1 page)
│ ├── 4-6 headline KPIs
│ ├── Trend indicators
│ └── Key alerts
├── Department Views
│ ├── Sales Dashboard
│ ├── Marketing Dashboard
│ ├── Operations Dashboard
│ └── Finance Dashboard
└── Detailed Drilldowns
├── Individual metrics
└── Root cause analysisRevenue Metrics: - Monthly Recurring Revenue (MRR) - Annual Recurring Revenue (ARR) - Average Revenue Per User (ARPU) - Revenue Growth Rate Pipeline Metrics: - Sales Pipeline Value - Win Rate - Average Deal Size - Sales Cycle Length Activity Metrics: - Calls/Emails per Rep - Demos Scheduled - Proposals Sent - Close Rate
Acquisition: - Cost Per Acquisition (CPA) - Customer Acquisition Cost (CAC) - Lead Volume - Marketing Qualified Leads (MQL) Engagement: - Website Traffic - Conversion Rate - Email Open/Click Rate - Social Engagement ROI: - Marketing ROI - Campaign Performance - Channel Attribution - CAC Payback Period
Usage: - Daily/Monthly Active Users (DAU/MAU) - Session Duration - Feature Adoption Rate - Stickiness (DAU/MAU) Quality: - Net Promoter Score (NPS) - Customer Satisfaction (CSAT) - Bug/Issue Count - Time to Resolution Growth: - User Growth Rate - Activation Rate - Retention Rate - Churn Rate
Profitability: - Gross Margin - Net Profit Margin - EBITDA - Operating Margin Liquidity: - Current Ratio - Quick Ratio - Cash Flow - Working Capital Efficiency: - Revenue per Employee - Operating Expense Ratio - Days Sales Outstanding - Inventory Turnover
┌─────────────────────────────────────────────────────────────┐ │ EXECUTIVE DASHBOARD [Date Range ▼] │ ├─────────────┬─────────────┬─────────────┬─────────────────┤ │ REVENUE │ PROFIT │ CUSTOMERS │ NPS SCORE │ │ $2.4M │ $450K │ 12,450 │ 72 │ │ ▲ 12% │ ▲ 8% │ ▲ 15% │ ▲ 5pts │ ├─────────────┴─────────────┴─────────────┴─────────────────┤ │ │ │ Revenue Trend │ Revenue by Product │ │ ┌───────────────────────┐ │ ┌──────────────────┐ │ │ │ /\ /\ │ │ │ ████████ 45% │ │ │ │ / \ / \ /\ │ │ │ ██████ 32% │ │ │ │ / \/ \ / \ │ │ │ ████ 18% │ │ │ │ / \/ \ │ │ │ ██ 5% │ │ │ └───────────────────────┘ │ └──────────────────┘ │ │ │ ├─────────────────────────────────────────────────────────────┤ │ 🔴 Alert: Churn rate exceeded threshold (>5%) │ │ 🟡 Warning: Support ticket volume 20% above average │ └─────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────┐ │ SAAS METRICS Jan 2024 [Monthly ▼] │ ├──────────────────────┬──────────────────────────────────────┤ │ ┌────────────────┐ │ MRR GROWTH │ │ │ MRR │ │ ┌────────────────────────────────┐ │ │ │ $125,000 │ │ │ /── │ │ │ │ ▲ 8% │ │ │ /────/ │ │ │ └────────────────┘ │ │ /────/ │ │ │ ┌────────────────┐ │ │ /────/ │ │ │ │ ARR │ │ │ /────/ │ │ │ │ $1,500,000 │ │ └────────────────────────────────┘ │ │ │ ▲ 15% │ │ J F M A M J J A S O N D │ │ └────────────────┘ │ │ ├──────────────────────┼──────────────────────────────────────┤ │ UNIT ECONOMICS │ COHORT RETENTION │ │ │ │ │ CAC: $450 │ Month 1: ████████████████████ 100% │ │ LTV: $2,700 │ Month 3: █████████████████ 85% │ │ LTV/CAC: 6.0x │ Month 6: ████████████████ 80% │ │ │ Month 12: ██████████████ 72%
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Repo: LiHongwei-cn/lihongwei-cn
给所有想把"感觉"变成可校准预测的内容创作者。**方法论通用**——打分 → 盲预测 → T+3d 复盘 → 进化 rubric 的循环适用任何能被量化(播放 / 阅读 / 收听 / 点击)的内容。**rubric 是循环的内容,不是循环本身**——当前内置一份观点视频 rubric(参考博主 25+…
提议并执行 rubric 或 bucket 升级。两种模式:**完整 rubric bump**(最高风险动作,5 步强制 + 跨模型审核)和 **--bucket-only 轻量重校**(只换 bucket 边界,不动 rubric 公式)。**Phase 2 强制走 cheat-score-blind…
cheat-on-content 的首次 onboarding 与脚手架创建器。统一流程——所有用户都走相同 5 阶段闭环,唯一区别是"发过视频的人"会在 init 时多一步:抓取已有视频建立历史 context(用于后续 cheat-seed 给更贴合的选题、更准的…
从对标账号导入 script + 数据 → 拆 pattern + 派生 base rubric 信号 → 写到 benchmark.md / script_patterns.md / rubric_notes.md。**这是工具最早期信号的来源**——cold-start…
把老用户的 .cheat-state.json 升级到当前 schema_version。读 migrations/registry.md 算迁移链,按顺序应用每一步迁移文件。幂等:跑两次结果一样。失败停在中间版本不前进。触发词:"迁移"/"升级 state"/"migrate"/"我的 state…
从复盘评论数据派生 / 刷新账号的受众画像,写入 audience.md。这是和 rubric 平行的第二个派生物——rubric 答"怎么打分",persona 答"谁在看"。cheat-seed 选题 / 写稿时读它。**audience.md 含实绩信号,cheat-score-blind…