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Skillzwave

excel-report-generator

15 stars 4 forks
71
C

Automatically generate Excel reports from data sources including CSV, databases, or Python data structures. Supports data analysis reports, business reports, data export, and template-based report generation using pandas and openpyxl. Activate when users mention Excel, spreadsheet, report generation, data export, or business reporting.

Also in: data analysis excel

Third-Party Agent Skill: Review the code before installing. Agent skills execute in your AI assistant's environment and can access your files. Learn more about security

Installation for Agentic Skill

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skilz install wwwzhouhui/skills_collection/excel-report-generator
skilz install wwwzhouhui/skills_collection/excel-report-generator --agent opencode
skilz install wwwzhouhui/skills_collection/excel-report-generator --agent codex
skilz install wwwzhouhui/skills_collection/excel-report-generator --agent gemini

First time? Install Skilz: pip install skilz

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

1. Clone the repository:
git clone https://github.com/wwwzhouhui/skills_collection
2. Copy the agent skill directory:
cp -r skills_collection/excel-report-generator ~/.claude/skills/
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Need detailed installation help? Check our platform-specific guides:

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Agentic Skill Details

Owner
wwwzhouhui (GitHub)
Repository
skills_collection
Stars
15
Forks
4
Type
Technical
Meta-Domain
development
Primary Domain
python
Market Score
71
Agentic Skill Grades →

Agent Skill Grade

C
Score: 71/100 Click to see breakdown

Score Breakdown

Spec Compliance
12/15
PDA Architecture
17/30
Ease of Use
17/25
Writing Style
5/10
Utility
15/20
Modifiers: +5

Areas to Improve

  • SKILL.md is bloated with inline code
  • Missing TOC in long SKILL.md
  • Marketing emojis and promotional tone

Recommendations

  • Focus on improving Pda (currently 17/30)
  • Focus on improving Writing Style (currently 5/10)
  • Address 1 high-severity issues first

Graded: 2026-01-05

Developer Feedback

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

Links:

The TL;DR

You're at 71/100, which is solid C-grade territory. This is based on Anthropic's skill best practices rubric. Your strongest area is Spec Compliance (12/15) — the frontmatter and naming are clean. The real drag is Writing Style (5/10) and Progressive Disclosure (17/30) — your SKILL.md is trying to do too much in one place.

What's Working Well

  • Spec compliance is tight — your YAML frontmatter is valid, naming follows conventions, and metadata triggers (Excel, spreadsheet, report generation) are clear
  • Comprehensive examples — having basic_report.py, advanced_report.py, and template_fill.py is smart. Actual code examples help people understand what the skill can do
  • Good reference structure — separating API details into REFERENCE.md and having a dedicated examples directory shows you understand layering

The Big One: SKILL.md is bloated

Here's the thing: your SKILL.md is 320+ lines and contains full implementation guides with extensive inline code examples. That's eating tokens and burying the signal.

The fix: Move the entire "实现指南" section (lines 91-218) into a new references/implementation_guide.md file. In SKILL.md, just say: "See references/implementation_guide.md for step-by-step implementation." Keep SKILL.md to ~100 lines max—just the overview, use cases, and quick workflow.

Impact: This alone gets you +8 points (to 79/100, into B territory).

Other Things Worth Fixing

  1. Add a table of contents — A 320-line doc needs navigation. Add a ## 目录 section at the top linking to major sections. That's +3 points and takes 2 minutes.

  2. **Remove...

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