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Skillzwave

dashboard-creator

91.0
A

Create HTML dashboards with KPI metric cards, bar/pie/line charts, progress indicators, and data visualizations. Use when users request dashboards, metrics displays, KPI visualizations, data charts, or monitoring interfaces.

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Installation for Agentic Skill

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skilz install I-Onlabs/claude-code-skills/dashboard-creator
skilz install I-Onlabs/claude-code-skills/dashboard-creator --agent opencode
skilz install I-Onlabs/claude-code-skills/dashboard-creator --agent codex
skilz install I-Onlabs/claude-code-skills/dashboard-creator --agent gemini

First time? Install Skilz: pip install skilz

Works with 22+ AI coding agents

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Download Agent Skill ZIP

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

1. Clone the repository:
git clone https://github.com/I-Onlabs/claude-code-skills
2. Copy the agent skill directory:
cp -r claude-code-skills/dashboard-creator ~/.claude/skills/

Need detailed installation help? Check our platform-specific guides:

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Marketplace

Agentic Skill Details

Type
Non-Technical
Meta-Domain
general
Primary Domain
general
Sub-Domain
skill use
Market Score
91.0

Agent Skill Grade

A
Score: 91/100 Click to see breakdown

Score Breakdown

Spec Compliance
12/15
PDA Architecture
28/30
Ease of Use
24/25
Writing Style
10/10
Utility
19/20
Modifiers: -2

Recommendations

  • Add trigger phrases to description for discoverability
  • Add table of contents for files over 100 lines

Graded: 1/19/2026

Developer Feedback

I took a look at your dashboard-creator skill and wanted to share some feedback.

Links:

The TL;DR

You're at 91/100, solidly in A territory. This is based on Anthropic's Claude Skills Best Practices. Your writing is chef's kiss (10/10) – direct, no fluff, pure imperative. Progressive Disclosure Architecture is nearly perfect (28/30). The weak spot is Spec Compliance (12/15) – mostly around trigger phrase coverage in your description.

What's Working Well

  • Writing style is excellent – You nailed the imperative voice throughout. No marketing speak, just clear instructions. That's harder than it looks.
  • Token economy is tight – Your SKILL.md is 79 lines of dense, useful content. You're not burning tokens on navigation or explanation that doesn't need to be there.
  • Perfect layered structure – SKILL.md overview with references exactly one level deep (design_patterns.md, svg_library.md). That's how you do Progressive Disclosure.
  • Workflow is crystal clear – Your numbered workflow steps are actionable and specific. Users know exactly what to do.

The Big One: Beef Up Your Trigger Phrases

Your description only has 1-2 trigger phrases, and that's hurting discoverability. Right now someone searching for "interactive chart" or "metrics visualization" won't find you.

The fix: Expand your description field in the SKILL.md frontmatter to include more trigger phrases. Add variants like:

  • create interactive dashboard
  • build metrics dashboard
  • generate HTML visualization
  • SVG chart creator

This is a quick win – you're literally just adding more search terms to your existing description. Could bump your Spec Compliance score from 12 to 14 or 15.

Other Things Worth Fixing

  1. XML tags in metadata (-5 penalty) – Something in your YAML or references has stray XML/tag syntax. Clean that up. Check for any < or > characters that should be escaped or removed.

  2. Add a table of contents – While your 79-line file doesn't strictly need one, adding a simple TOC with links to major sections helps navigation. Small boost to navigation signals (currently 4/5).

  3. Feedback loops could be stronger – Currently scoring 3/4. The workflow implies validation through output, but consider adding an explicit "verification" step or expected output example that shows how users know they did it right.

Quick Wins

  1. Expand trigger phrases in description (biggest bang for buck – +2-3 points)
  2. Remove XML tag issues from metadata (-5 penalty resolved)
  3. Add table of contents for navigation clarity (+1 point)
  4. Strengthen feedback loops with explicit validation examples (+1 point)

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