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Agent Skill · 研究检索

cash-flow-forecasting(现金流量预测)

cash-flow-forecasting 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

cash-flow-forecasting 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 52,216。

总安装 563周安装 23GitHub Stars 19下载 180核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:cash-flow-forecasting(现金流量预测)
来源仓库:https://github.com/finsilabs/awesome-ecommerce-skills
仓库路径:skills/cash-flow-forecasting
安装命令:
npx skills add https://github.com/finsilabs/awesome-ecommerce-skills --skill cash-flow-forecasting
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/finsilabs/awesome-ecommerce-skills --skill cash-flow-forecasting

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

cash-flow-forecasting 针对电商业务特点预测实际银行账户收支时点,而非会计收入确认时间。识别支付处理延迟、库存采购周期与市场放款节奏差异,建立 13 周滚动现金流模型。结合平台原始数据生成可操作的资金管理建议,适用于初创企业 runway 规划与税务预算。

需接入电商平台交易流水与供应商账期信息,数据颗粒度影响预测准确性。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/cash-flow-forecasting

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/finsilabs/awesome-ecommerce-skills --skill cas…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

cash-flow-forecasting 怎么安装?

在终端执行 npx skills add https://github.com/finsilabs/awesome-ecommerce-skills --skill cash-flow-for…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

cash-flow-forecasting 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

cash-flow-forecasting 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

cash-flow-forecasting 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

cash-flow-forecasting 用的人多吗?

公开数据是累计安装 563 次,近一周安装 23 次,下载 180 次,GitHub 19 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

cash-flow-forecasting 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
cash-flow-forecasting

现金流量预测 · 本页

56319需要联网未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Cash Flow Forecasting

Overview

Cash flow forecasting predicts when money actually enters and leaves your bank account — not when revenue is recognized. For ecommerce businesses, cash and revenue timing diverge significantly: payment processors hold funds for days or weeks, inventory must be purchased and paid for weeks before it sells, and marketplace disbursements are bi-weekly or delayed by account reviews.

This skill guides you through building a 13-week rolling cash flow forecast using your platform's data, covering the key cash timing differences by sales channel, and setting up a simple model in a spreadsheet or BI tool that you update weekly.

When to Use This Skill

  • When managing cash position and needing to know your runway
  • When planning inventory buys and needing to confirm you have the cash to fund them
  • When preparing for a fundraise and needing to show investors a 12–18 month cash model
  • When stress-testing the business against a revenue shortfall scenario
  • When selling on Amazon and managing bi-weekly disbursement timing
  • When planning for seasonal cash flow gaps (Q1 trough after Q4 peak)

Core Instructions

Step 1: Pull your historical revenue and expense data from your platform

Before building a forecast, gather 12 months of actuals. Here is where to find the data by platform:


Shopify
  1. Revenue data: Go to Analytics → Reports → Sales over time — export to CSV; this gives you daily/weekly/monthly gross sales, discounts, returns, and net sales
  2. Order-level data: Go to Analytics → Reports → Orders over time — shows order count and AOV trends useful for projecting future orders
  3. Finance summary: Go to Analytics → Finances summary — shows gross sales, discounts, returns, shipping charged, and net sales for any date range
  4. Payouts: Go to Finances → Payouts — shows exactly when Shopify Payments transferred funds to your bank and the amount; this is your actual cash inflow history, not just revenue recognition
  5. Export orders: Go to Orders → Export — download all orders with financial data; use this to build a detailed spreadsheet model

Shopify Payments cash timing:

  • Standard payout: 2–3 business days after the transaction
  • After confirming your payout schedule in Finances → Payout schedule, build this lag into your inflow model

WooCommerce
  1. Revenue data: Go to WooCommerce → Analytics → Revenue — shows gross revenue, refunds, coupons, net revenue, and taxes by day/week/month; export to CSV
  2. Orders export: Go to WooCommerce → Orders → Export — download order history with payment method, dates, and amounts
  3. Payment gateway timing: Check your gateway dashboard (Stripe, PayPal, Square) for payout history and typical lag:

- Stripe: typically 2 business days - PayPal: 1–3 business days (can vary for new accounts)

  1. Expenses: WooCommerce does not track expenses natively; pull these from your accounting system (QuickBooks, Xero) or bank statements

BigCommerce
  1. Go to Analytics → Store Overview — shows revenue, orders, and conversion trends; export to CSV
  2. Go to Analytics → Purchase Funnel and Analytics → Marketing for additional revenue breakdowns
  3. Use BigCommerce's data export API or connect via Stitch or Fivetran to pull order data into a spreadsheet or warehouse for multi-month analysis

Step 2: Map cash timing by channel

The most important step is understanding the lag between when revenue is earned and when cash arrives. Build a channel-by-channel timing table:

ChannelTypical Cash LagNotes
Shopify Payments (credit card)2–3 business daysSet in Shopify under Finances → Payout schedule
Stripe (direct)2 business daysConfigurable; can be daily
PayPal1–3 business daysNew accounts may have longer holds
Amazon FBA14 daysBi-weekly disbursements; check Seller Central → Payments
Amazon FBM14 daysSame bi-weekly schedule
eBay Managed Payments2 business daysCheck eBay Payments dashboard
Walmart Marketplace14 daysMonthly disbursement cycle
Wholesale / Net-3030 daysInvoice date to expected payment
Wholesale / Net-6060 daysFactor in 2–5% bad debt rate
Buy Now Pay Later (Afterpay, Klarna)2–3 business daysBNPL providers pay merchant immediately; no customer lag

Build this timing into your cash inflow schedule: For each week's projected revenue, create a separate row showing when that cash actually arrives. Revenue earned this week from Amazon arrives in the week two weeks from now.

Step 3: Build a 13-week rolling cash flow model

Use a spreadsheet (Google Sheets or Excel) with this structure. Update it every Monday morning.

Model structure (one column per week, 13 weeks forward):

                          WK1    WK2    WK3    WK4    ...  WK13
OPENING CASH BALANCE

OPERATING INFLOWS
  + Shopify Payments (2-day lag from prior week sales)
  + Amazon disbursement (bi-weekly; map exact dates)
  + PayPal settlements
  + B2B/wholesale payments (net-30 invoices due this week)

OPERATING OUTFLOWS
  - Inventory purchases (PO payments due this week)
  - Inbound freight & duties
  - 3PL / fulfillment fees (typically billed weekly)
  - Outbound shipping not passed to customer
  - Marketing & ad spend (credit card charge date, not spend date)
  - Payroll (exact pay dates)
  - Platform/software subscriptions
  - Rent & facilities
  - Customer refunds (process in same week issued)
  - Sales tax remittances (quarterly — schedule known dates)

NET WEEKLY CASH FLOW
CLOSING CASH BALANCE

Getting outflow data:

  • Inventory payments: Pull open purchase orders from your supplier portal or inventory system; note the due date for each PO
  • Marketing spend: Check your credit card statement for when ad platform charges clear (usually monthly billing cycle); Meta and Google bill in arrears or when threshold is reached
  • Payroll: Use exact pay dates from your payroll system (Gusto, ADP, Rippling)

Step 4: Build base / bear / bull scenarios

Run three scenarios:

ScenarioRevenue AssumptionPurpose
Base caseCurrent trajectory (prior 4-week average)Day-to-day planning
Bear case70–75% of base case revenueStress test; answers "how long can we survive?"
Bull case120–125% of base case revenueUpside planning; "can we fund the growth?"

Critical rule: In the bear case, reduce inflows by the revenue shortfall percentage but do NOT reduce fixed outflows (payroll, rent, software). Only variable costs (COGS, marketing, variable fulfillment) should scale with revenue. This is the most common forecasting mistake — in a revenue downturn, fixed costs remain, which dramatically worsens cash position.

Runway calculation: Find the first week in the bear case where the Closing Cash Balance reaches your minimum viable cash threshold (typically 4–6 weeks of fixed operating costs). The number of weeks until that point is your runway under the bear case.

Step 5: Connect to live data for automatic updates


Shopify

Use Shopify's built-in Finances export (scheduled weekly) or connect via:

  • Shopify + Google Sheets: Install the Sheets for Shopify app to sync orders and payouts automatically into your cash flow spreadsheet
  • Shopify + Xero/QuickBooks: Use the Xero or QuickBooks Shopify integration to sync payout data into your accounting system, then build your forecast in your accounting tool
WooCommerce
  • Connect WooCommerce → QuickBooks (via the official WooCommerce QuickBooks plugin) or WooCommerce → Xero (via the WooCommerce Xero extension)
  • Use Metorik to export weekly revenue data into a CSV that feeds your spreadsheet model
Dedicated cash flow tools (all platforms)

These tools connect to your bank, payment processors, and ecommerce platforms to build automated cash flow forecasts:

  • Float (floatapp.com): Connects to Xero/QuickBooks; great for 13-week cash forecasting
  • Pulse (pulseapp.com): Simple cash flow tool with manual and bank-feed inputs
  • Dryrun: More advanced; supports scenario modeling and connects to accounting systems
  • Runway (runway.com): More comprehensive financial planning tool; connects to QuickBooks/Xero

Best Practices

  • Update the 13-week forecast every Monday morning — use prior-week actuals to replace the oldest week's projection and roll the forecast forward one week
  • Reconcile the forecast to your actual bank balance weekly — if there is a gap between forecast and actual closing balance, find it before it compounds
  • Model Amazon payment timing explicitly — Amazon bi-weekly disbursements are the single largest source of cash timing surprises for marketplace sellers; map the exact disbursement dates for the next 13 weeks
  • Build a minimum viable cash threshold — define the minimum cash balance needed to operate; alert yourself when the forecast shows cash approaching this floor
  • Track the ad spend cash outflow date, not the spend date — Meta and Google bill monthly or when a threshold is reached; the credit card payment date is when cash leaves, not when impressions run
  • Schedule tax remittances as known outflows — sales tax remittances, quarterly estimated income taxes, and VAT payments are predictable; put them on the calendar in the model

Common Pitfalls

ProblemSolution
Confusing revenue with cashA $50K wholesale invoice recognized in March will not generate cash until May under Net-60 terms; always model the timing layer separately
Ignoring seasonal inventory build-upHeavy inventory spend in July–September (buying Q4 stock) causes a cash trough months before holiday revenue arrives; forecast the inventory payment schedule explicitly
Not modeling returns as cash outflowsRefunds are cash outflows that happen before you recover inventory; high-return categories need a return cash reserve modeled into weekly outflows
Ad spend lag not accounted forMonthly credit card billings for ad platforms clear days after the billing period; model the card payment date as the cash outflow, not the daily spend date
Single-point estimate onlyAlways run base and bear scenarios; a model showing only the base case gives false confidence
Missing one-time outflowsTax payments, insurance renewals, software annual contracts, and trade show expenses are predictable; add them to a forward calendar and populate the model

Related Skills

  • @ecommerce-budgeting-forecasting
  • @financial-reporting-dashboard
  • @profit-margin-analysis
  • @unit-economics-tracking
  • @marketplace-fee-reconciliation

平台分布

Codex

36.55%
按下载量换算66

Claude

32.69%
按下载量换算59

Cursor

17.47%
按下载量换算31

Gemini CLI

8.6%
按下载量换算15

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。目前只有一个公开来源,建议同时核对源仓库。

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