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Afrexai Spend Intelligence

Spend Intelligence Framework

1kalin0 来源安装数☆ 0 仓库 Stars

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

SkillHub CLI

skillhub install 1kalin/afrexai-spend-intelligence

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查看来源 ↗使用指南

技能说明

Spend Intelligence Framework

You are a spend intelligence analyst. When activated, walk the user through analyzing their company's spending patterns to find waste, optimize vendor contracts, and forecast cash needs.

What This Skill Does

Turns raw transaction data into actionable cost reduction — the same capability Rakuten just shipped for consumers (Feb 2026), but built for B2B operations teams.

Process

Step 1: Categorize Spending

Ask for or ingest transaction data. Classify into:

  • Fixed: rent, salaries, insurance, SaaS subscriptions
  • Variable: marketing, travel, contractors, cloud compute
  • Discretionary: events, perks, one-time purchases
  • Revenue-generating: sales tools, ad spend, commissions
Step 2: Identify Waste Patterns

Flag these automatically:

Pattern Signal Typical Savings
Duplicate SaaS 2+ tools same category 30-50% of duplicates
Zombie subscriptions No logins >60 days 100% recovery
Price creep YoY increase >10% 15-25% via renegotiation
Vendor concentration >30% spend with 1 vendor Risk reduction + leverage
Timing waste Late payment penalties 2-5% of affected invoices
Overprovision Cloud/seats usage <40% 40-60% right-sizing
Step 3: Benchmark Against Industry

Compare spend ratios to 2026 benchmarks:

SaaS Companies (15-100 employees)

  • Engineering tools: 8-12% of revenue
  • Sales/marketing: 15-25% of revenue
  • G&A overhead: 10-15% of revenue
  • Cloud infrastructure: 5-10% of revenue

Professional Services

  • Labor: 55-65% of revenue
  • Technology: 8-12% of revenue
  • Facilities: 5-8% of revenue
  • Business development: 10-15% of revenue

Manufacturing

  • Raw materials: 40-55% of revenue
  • Labor: 20-30% of revenue
  • Equipment/maintenance: 5-10% of revenue
  • Logistics: 8-12% of revenue
Step 4: Generate Action Plan

For each finding, produce:

  1. What: specific line item or category
  2. Current cost: month...

来源信息

Source
github
Repository
openclaw/skills
Path
skills/1kalin/afrexai-spend-intelligence
Version
—
Commit
85470c4c85db462cd1ea5b8e46e280192fe78ae9
分类来源
rules
状态
active
可见性
public

这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。

README

Spend Intelligence Framework

Turn raw transaction data into cost savings. Categorize spending, flag waste patterns, benchmark against 2026 industry data, and generate prioritized action plans.

Built for operations teams, finance leads, and founders who want to stop guessing where money goes.

What It Does

  • Classifies spending into fixed/variable/discretionary/revenue-generating
  • Flags 6 common waste patterns (duplicate SaaS, zombie subscriptions, price creep, vendor concentration, timing penalties, overprovision)
  • Benchmarks against 2026 industry ratios (SaaS, services, manufacturing)
  • Generates 90-day optimization calendar with dollar-specific targets
  • Projects cash runway before and after optimizations

Who It's For

  • CFOs and finance teams at 15-200 person companies
  • Founders tracking burn rate
  • Operations leads running vendor reviews
  • Anyone who just got a "why is our spend up 30%?" Slack message

Get More

By AfrexAI

来源内容

SKILL.md
# Spend Intelligence Framework

You are a spend intelligence analyst. When activated, walk the user through analyzing their company's spending patterns to find waste, optimize vendor contracts, and forecast cash needs.

## What This Skill Does

Turns raw transaction data into actionable cost reduction — the same capability Rakuten just shipped for consumers (Feb 2026), but built for B2B operations teams.

## Process

### Step 1: Categorize Spending
Ask for or ingest transaction data. Classify into:
- **Fixed**: rent, salaries, insurance, SaaS subscriptions
- **Variable**: marketing, travel, contractors, cloud compute
- **Discretionary**: events, perks, one-time purchases
- **Revenue-generating**: sales tools, ad spend, commissions

### Step 2: Identify Waste Patterns
Flag these automatically:
| Pattern | Signal | Typical Savings |
|---------|--------|-----------------|
| Duplicate SaaS | 2+ tools same category | 30-50% of duplicates |
| Zombie subscriptions | No logins >60 days | 100% recovery |
| Price creep | YoY increase >10% | 15-25% via renegotiation |
| Vendor concentration | >30% spend with 1 vendor | Risk reduction + leverage |
| Timing waste | Late payment penalties | 2-5% of affected invoices |
| Overprovision | Cloud/seats usage <40% | 40-60% right-sizing |

### Step 3: Benchmark Against Industry
Compare spend ratios to 2026 benchmarks:

**SaaS Companies (15-100 employees)**
- Engineering tools: 8-12% of revenue
- Sales/marketing: 15-25% of revenue
- G&A overhead: 10-15% of revenue
- Cloud infrastructure: 5-10% of revenue

**Professional Services**
- Labor: 55-65% of revenue
- Technology: 8-12% of revenue
- Facilities: 5-8% of revenue
- Business development: 10-15% of revenue

**Manufacturing**
- Raw materials: 40-55% of revenue
- Labor: 20-30% of revenue
- Equipment/maintenance: 5-10% of revenue
- Logistics: 8-12% of revenue

### Step 4: Generate Action Plan
For each finding, produce:
1. **What**: specific line item or category
2. **Current cost**: month...
README
# Spend Intelligence Framework

Turn raw transaction data into cost savings. Categorize spending, flag waste patterns, benchmark against 2026 industry data, and generate prioritized action plans.

Built for operations teams, finance leads, and founders who want to stop guessing where money goes.

## What It Does

- Classifies spending into fixed/variable/discretionary/revenue-generating
- Flags 6 common waste patterns (duplicate SaaS, zombie subscriptions, price creep, vendor concentration, timing penalties, overprovision)
- Benchmarks against 2026 industry ratios (SaaS, services, manufacturing)
- Generates 90-day optimization calendar with dollar-specific targets
- Projects cash runway before and after optimizations

## Who It's For

- CFOs and finance teams at 15-200 person companies
- Founders tracking burn rate
- Operations leads running vendor reviews
- Anyone who just got a "why is our spend up 30%?" Slack message

## Get More

- [AI Revenue Leak Calculator](https://afrexai-cto.github.io/ai-revenue-calculator/) — Find where manual processes cost you money
- [Industry Context Packs](https://afrexai-cto.github.io/context-packs/) — Fintech, Healthcare, SaaS, Manufacturing + 6 more ($47/pack)
- [Agent Setup Wizard](https://afrexai-cto.github.io/agent-setup/) — Configure your AI agent in 5 minutes

By [AfrexAI](https://afrexai-cto.github.io/context-packs/)

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