spend-analytics-engine
Procurement spend analysis skill with classification, consolidation, and savings identification
Profile →npx skills add a5c-ai/babysitter --skill spend-analytics-engine --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Spend Analytics Engine ## Overview The Spend Analytics Engine provides comprehensive procurement spend analysis capabilities. It cleanses and classifies spend data, identifies consolidation opportunities, detects maverick spending, and quantifies savings opportunities to drive procurement value. ## Capabilities - **Spend Data Cleansing and Normalization**: Data quality improvement - **UNSPSC/Commodity Classification**: Standard category assignment - **Supplier Consolidation Analysis**: Fragmentation identification - **Price Variance Identification**: Unit price analysis across transactions - **Maverick Spend Detection**: Off-contract purchasing identification - **Contract Compliance Analysis**: Spend vs. contract terms - **Savings Opportunity Quantification**: Addressable spend and savings potential - **Spend Trend Visualization**: Historical pattern analysis ## Input Schema ```yaml spend_analysis_request: spend_data: transactions: array - supplier: string description: string amount: float quantity: float date: date business_unit: string cost_center: string period: start_date: date end_date: date reference_data: supplier_master: array category_taxonomy: object contracts: array an
- Overview
- Capabilities
- Input Schema
- Output Schema
- Usage
- Comprehensive Spend Analysis
- Supplier Consolidation Analysis
- Contract Compliance Review
- Integration Points
- Process Dependencies
- Best Practices
What does the spend-analytics-engine skill do?
Procurement spend analysis skill with classification, consolidation, and savings identification
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill spend-analytics-engine --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.