excel-variance-analyzer

Automate budget vs actual variance analysis in Excel with flagging, commentary, and executive summaries for financial reporting and FP&A teams

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Installation for Agentic Skill

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Claude Code (CLI) Fast

skilz install jeremylongshore/claude-code-plugins-plus-skills/excel-variance-analyzer

OpenCode (CLI) Fast

skilz install jeremylongshore/claude-code-plugins-plus-skills/excel-variance-analyzer --agent opencode

OpenAI Codex (CLI) Native

skilz install jeremylongshore/claude-code-plugins-plus-skills/excel-variance-analyzer --agent codex

Gemini CLI (Project) Project

skilz install jeremylongshore/claude-code-plugins-plus-skills/excel-variance-analyzer --agent gemini

First time? Install Skilz: pip install skilz

Works with 22+ AI coding assistants

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For Claude Desktop Easy

Download Agent Skill ZIP

Extract and copy to ~/.claude/skills/ then restart Claude Desktop

Manual Installation

1. Clone the repository:

git clone https://github.com/jeremylongshore/claude-code-plugins-plus-skills

2. Copy the agent skill directory:

cp -r claude-code-plugins-plus-skills/backups/skills-migration-20251108-070147/plugins/business-tools/excel-analyst-pro/skills/excel-variance-analyzer ~/.claude/skills/

Owner: jeremylongshore (GitHub)
Repository: claude-code-plugins-plus-skills
Type: Non-Technical
Meta-Domain: general
Primary Domain: general
Sub-Domain: data analysis research skill
Market Score: 62

Agentic Skill Grades →

Agent Skill Grade

Score: 62/100 Click to see breakdown

Score Breakdown

Spec Compliance

11/15

PDA Architecture

12/30

Ease of Use

19/25

Writing Style

5/10

Utility

14/20

Modifiers: +1

Areas to Improve

Description needs trigger phrases
Missing Referenced Resources
Excessive Token Consumption

Recommendations

Focus on improving Pda (currently 12/30)
Focus on improving Writing Style (currently 5/10)
Address 2 high-severity issues first

Graded: 2026-01-05

Developer Feedback

I took a look at your excel-variance-analyzer skill and wanted to share some thoughts.

Links:

The TL;DR

You're at 62/100 – solid D grade territory. This is based on Anthropic's agentic skill best practices.

What's strong: Ease of Use scored 19/25 – your metadata is clean, triggers are clear ("variance analysis", "budget vs actual"), and the workflow steps are well-structured.

What's holding you back: Progressive Disclosure Architecture is way too heavy at 12/30. You're burning tokens on things that should be slimmed down or moved elsewhere.

What's Working Well

Trigger phrases are solid – You've got good coverage for discovery ("variance analysis", "budget actual comparison"). This makes the skill easy to find.
Domain expertise shows – The skill is specific to FP&A work. You're not trying to be everything to everyone, which is smart.
Multiple examples – You've included input/output pairs that show real variance scenarios, which helps users understand what to expect.
Consistent terminology – "variance", "budget", "actual" used throughout without mixing terms. That consistency matters for users.

The Big One: Cut the File Down (High Priority)

Your SKILL.md is 357 lines when it should be around 120-150 lines. You're repeating similar example patterns from lines 172-295, and that's just bloat – it's making the file harder to navigate and burning tokens for rea...

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