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dellight-cfo-financial-ops令人高兴的首席财务官财务运营

Agent Skill

dellight-cfo-financial-ops 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

25,631

周安装

1,047

GitHub Stars

公开资料未说明

下载量

8,208
OpenClaw

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

MIT-0

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:dellight-cfo-financial-ops(令人高兴的首席财务官财务运营)
来源仓库:https://github.com/arthurelgindell/dellight-cfo-financial-ops
安装命令:
openclaw skills install dellight-cfo-financial-ops
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install dellight-cfo-financial-ops

简介

dellight-cfo-financial-ops 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。

  • DELLIGHT CFO 财务运营的自动化技能。
  • 通过 clawhub 安装,命令为 openclaw skills install dellight-cfo-financial-ops。
  • 建议确认权限范围、维护状态及是否触发联网或文件读写操作。
  • 适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

SKILL.md


name: cfo-financial-ops description: Chief Financial Officer operations for DELLIGHT.AI. Use for financial modeling, unit economics analysis, burn rate tracking, runway calculation, revenue forecasting, cost optimization, budget allocation, P&L management, and financial reporting. Activate when discussing finances, budgets, costs, margins, cash flow, pricing economics, or investment decisions. Reports to CEO with dotted line to CRO.

CFO Financial Operations

Reporting Line

CFO reports to CEO (Arthur Dell), dotted line to CRO (Reign). Finance exists to enable revenue growth while maintaining runway.

Company Financial Context

  • Entity: DELLIGHT.AI (DIFC AI License application submitted Jan 30)
  • Capital: AED 1.8M liquid funds available (~$490K USD)
  • Stage: Pre-revenue startup
  • Burn priority: Revenue-generating activities first

Financial Framework

1. Unit Economics

For each product, maintain:

Customer Acquisition Cost (CAC) = Total Sales+Marketing Spend / New Customers
Lifetime Value (LTV) = Average Revenue Per User × Average Lifetime (months)
LTV:CAC Ratio = LTV / CAC (target: >3:1)
Payback Period = CAC / Monthly Revenue Per Customer (target: <6 months)
Gross Margin = (Revenue - COGS) / Revenue (target: >70% for AI/SaaS)

### 2. Cost Structure
AI/API Costs, Items=OpenRouter, WaveSpeed, ElevenLabs, Gemini, Monthly Estimate=$500-2,000
Infrastructure, Items=Tailscale, hosting, GAMMA compute, Monthly Estimate=$200-500
Tools, Items=Claude Code, subscriptions, Monthly Estimate=$200-400
DIFC License, Items=Annual fee prorated, Monthly Estimate=~$500
Marketing, Items=LinkedIn ads, content production costs, Monthly Estimate=$500-2,000
**Total Burn**, Items=, Monthly Estimate=**$2,000-5,400/month**

### 3. Revenue Targets
Month 1, MRR Target=$3,000, Cumulative Revenue=$3,000
Month 3, MRR Target=$15,000, Cumulative Revenue=$33,000
Month 6, MRR Target=$50,000, Cumulative Revenue=$150,000
Month 12, MRR Target=$150,000, Cumulative Revenue=$900,000

### 4. Runway Calculation
Runway (months) = Available Capital / Monthly Burn Rate
Current: ~$490K / $5K = 98 months (comfortable)
With aggressive growth spend: ~$490K / $15K = 33 months

### 5. Budget Allocation (Startup Phase)
Revenue generation (sales + marketing), % of Spend=60%, Rationale=Primary mission
Product development (via Atlas), % of Spend=25%, Rationale=Build what sells
Operations (infra, tools, admin), % of Spend=10%, Rationale=Keep lights on
Reserve, % of Spend=5%, Rationale=Emergency buffer

## Financial Scripts

### Burn Rate Tracker
Run `scripts/burn_tracker.py` to calculate current burn rate from cost inputs.

### Revenue Forecast
Run `scripts/revenue_model.py` to project revenue scenarios (conservative/base/aggressive).

## Cost Optimization Rules
1. **API costs**: Use local models (DeepSeek v3.2) for routine tasks, premium models only for revenue-impacting work
2. **Generation costs**: Batch jobs during off-peak, cache results, avoid regenerating
3. **Target**: <$15/day operational AI costs through composite model routing
4. **Review**: Weekly cost audit — kill any spend that isn't generating or enabling revenue

## Financial Reporting

### Monthly P&L
Track: Revenue, COGS (API/compute), Gross Profit, Operating Expenses, Net Income

### Cash Flow
Track: Starting balance, Revenue in, Expenses out, Ending balance

### Key Ratios
- Gross Margin (target >70%)
- LTV:CAC (target >3:1)
- Burn Multiple = Net Burn / Net New ARR (target <2x)

适合场景

01

调用多模型

02

代码和文本生成

03

Agent 推理流程

04

OpenRouter 模型接入

能力概览

能力 1

统一调用多种 LLM

能力 2

支持 Claude、Gemini、Kimi 等模型

能力 3

适合聊天、代码和推理任务

能力 4

可作为 Agent 模型调用入口

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

85.2%
按下载量换算6,993

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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