Agent skill · Data & Analytics

rate-sheet-comparison

FirstMile Xparcel rate sheet year-over-year comparison tool. Use when user provides two rate sheet Excel files (prior year and current year) and wants to compare Xparcel Expedited and Ground rates. Triggers on phrases like "compare rate sheets", "rate comparison", "2025 vs 2026 rates", "analyze pricing changes", "rate sheet analysis", or when two FirstMile Xparcel rate sheet files are mentioned. Generates Excel output with side-by-side rates, $ difference, % difference, weight band summaries, and conditional formatting.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill rate-sheet-comparison --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 3 KB
Bundled scripts: none
Path: skills/analysis/rate-sheet-comparison/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Rate Sheet Comparison Tool ## Purpose Compares two FirstMile Xparcel rate sheets (prior year vs current year) and generates a professional Excel report with: - Weight band summary (avg % change by band) - Side-by-side rate comparison (National & Select) - $ Difference and % Difference columns - Conditional formatting: Green (<0%), Yellow (0-6.99%), Orange (7-10.99%), Red (11%+) ## Execution ### Step 1: Identify Files User will provide two rate sheet Excel files. Determine which is prior/current by: - Filename date indicators (e.g., "2025" vs "2026") - File modification dates - Ask user if unclear ### Step 2: Run Comparison ```bash python ".claude/skills/rate-sheet-comparison/scripts/compare_rates.py" "<PRIOR_YEAR_FILE>" "<CURRENT_YEAR_FILE>" "<OUTPUT_PATH>" ``` **Example:** ```bash python ".claude/skills/rate-sheet-comparison/scripts/compare_rates.py" "C:\Users\BrettWalker\Downloads\BoxiiShip_2025_Rates.xlsx" "C:\Users\BrettWalker\Downloads\BoxiiShip_2026_Rates.xlsx" "C:\Users\BrettWalker\FirstMile_Deals\Rate_Comparison_Output.xlsx" ``` ### Step 3: Present Results Open the output file and summarize key findings: - Which weight bands saw largest increases? - National vs Select dif

What's inside
Steps it walks through
  1. Purpose
  2. Execution
  3. Step 1: Identify Files
  4. Step 2: Run Comparison
  5. Step 3: Present Results
  6. Input Requirements
  7. Output Format
  8. Weight Bands
  9. Color Legend
Ships with 1 file
  • metadata.json
Commands it runs
python ".claude/skills/rate-sheet-comparison/scripts/compare_rates.py" "<PRIOR_YEAR_FILE>" "<CURRENT_YEAR_FILE>" "<OUTPUT_PATH>"
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About this skill
What does the rate-sheet-comparison skill do?

FirstMile Xparcel rate sheet year-over-year comparison tool. Use when user provides two rate sheet Excel files (prior year and current year) and wants to compare Xparcel Expedited and Ground rates. Triggers on phrases like "compare rate sheets", "rate comparison", "2025 vs 2026 rates", "analyze pricing changes", "rate sheet analysis", or when two FirstMile Xparcel rate sheet files are mentioned. Generates Excel output with side-by-side rates, $ difference, % difference, weight band summaries, and conditional formatting.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill rate-sheet-comparison --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 majiayu000/claude-skill-registry, a repository with 534 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.

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