ma-standard-cost-variance

Decompose standard versus actual manufacturing costs into price and quantity variances from CSV data.

5|4|Updated Nov 9, 2025
One-click install
npx skills add https://github.com/takusaotome/claude-skills-library --skill ma-standard-cost-variance
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ma-standard-cost-variance
Source: https://github.com/takusaotome/claude-skills-library/tree/main/skills/ma-standard-cost-variance
Command: npx skills add https://github.com/takusaotome/claude-skills-library --skill ma-standard-cost-variance

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and assets (resource) components.

What problem does it solve?

Helps you explain why monthly manufacturing costs differ from standard by splitting total variance into price and quantity components and linking them to responsible departments.

Core Features & Use Cases

  • Variance Decomposition (Price vs. Quantity): Calculates price variance and quantity variance per item and verifies total variance consistency.
  • Category-Level Aggregation: Summarizes variances across material, labor, and overhead to reveal where the impact concentrates.
  • Root Cause Hypotheses & Recommendations: Proposes plausible drivers (e.g., market price shifts, waste/rework, process efficiency) and suggests corrective actions mapped to responsibility.
  • CSV-Based Automated Analysis: Accepts a structured CSV (item_name, cost_category, standard/actual price and quantity) to generate a structured variance report using the provided templates.

Quick Start

Upload your CSV with standard vs. actual costs and ask the skill to produce a monthly standard cost variance report with top variances, responsibility mapping, and root-cause hypotheses.

Frequently Asked Questions about ma-standard-cost-variance

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze standard cost variance from a CSV file?

To perform cost variance analysis, upload a CSV with standard and actual prices and quantities. The skill automatically decomposes total variance into price and quantity components across material, labor, and overhead categories.

What is the difference between price variance and quantity variance in manufacturing?

Price variance measures the cost impact of paying more or less than the standard rate, while quantity variance measures the cost impact of using more or less than the standard amount of materials or labor. Together they explain the total manufacturing cost variance.

How do I assign responsibility for manufacturing overhead variances?

Assign responsibility for manufacturing overhead variances by categorizing cost impacts into material, labor, and overhead subtotals. The skill maps aggregated variances to responsible departments and proposes root-cause hypotheses like process inefficiency or market price shifts.

Can I use this for monthly cost variance reporting and procurement price monitoring?

Yes, this supports monthly cost variance reporting and procurement price monitoring. It processes structured CSV inputs to generate itemized reports with category subtotals, top variances, and responsibility mapping.

What CSV format is needed for standard versus actual cost decomposition?

The required CSV format includes columns for item name, cost category, and standard versus actual prices and quantities. This structured input enables automated decomposition of total variance into price and quantity components.

Does the analysis provide root cause hypotheses for production efficiency issues?

Yes, the analysis provides root cause hypotheses for production efficiency issues by evaluating quantity variances. It identifies plausible drivers like waste, rework, or process inefficiencies and recommends corrective actions mapped to responsible departments.