quota-health

31 stars 7 forks
28
D

Use to analyze quota distribution, attainment fairness, and productivity signals.

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Installation for Agentic Skill

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skilz install gtmagents/gtm-agents/quota-health
skilz install gtmagents/gtm-agents/quota-health --agent opencode
skilz install gtmagents/gtm-agents/quota-health --agent codex
skilz install gtmagents/gtm-agents/quota-health --agent gemini

First time? Install Skilz: pip install skilz

Works with 22+ AI coding assistants

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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/gtmagents/gtm-agents
2. Copy the agent skill directory:
cp -r gtm-agents/plugins/sales-operations/skills/quota-health ~/.claude/skills/

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

Related Agentic Skills

Agentic Skill Details

Repository
gtm-agents
Stars
31
Forks
7
Type
Non-Technical
Meta-Domain
development
Primary Domain
github
Market Score
28

Agent Skill Grade

D
Score: 61/100 Click to see breakdown

Score Breakdown

Spec Compliance
11/15
PDA Architecture
18/30
Ease of Use
14/25
Writing Style
7/10
Utility
10/20
Modifiers: +1

Areas to Improve

  • Description needs trigger phrases
  • Missing reference files with detailed templates
  • No actionable data collection steps

Recommendations

  • Focus on improving Ease Of Use (currently 14/25)
  • Focus on improving Utility (currently 10/20)
  • Address 3 high-severity issues first

Graded: 2026-01-24

Developer Feedback

I was curious about quota management when I ran into your skill—it takes a practical approach to a problem that doesn't get enough attention in most systems. At a 61/100, there's solid foundation here, but I'd like to dig into how the implementation handles edge cases around quota exhaustion and recovery.

Links:

The TL;DR

You're at 61/100, which lands you in D territory. This evaluation is based on Anthropic's best practices for agentic skills. Your Spec Compliance is your strongest area (11/15)—the YAML frontmatter is clean and follows conventions. But Utility is dragging things down (10/20) because the framework lacks the concrete operational details needed to actually run this thing.

What's Working Well

  • Clear structure – Five-step framework (Data Collection → Fairness Analysis → Signal Review → Dashboard/Recommendations → Governance) gives reps a logical path through quota analysis
  • Real problem – You're addressing quota distribution fairness, which is genuinely underexplored in most sales ops workflows
  • Consistent terminology – Quota, attainment, coverage, territory—terms stay consistent throughout, which helps clarity

The Big One: Missing Reference Files & Templates

This is your main blocker. You mention templates in lines 21–24 (quota health dashboard, CRO briefing outline, quota adjustment form) but don't actually provide them. That's a massive gap because without templates, someone using this skill has to reverse-engineer what you mean by "dashboard" or "CRO briefing."

The fix: Create a references/ directory with:

  • quota-health-dashboard.md – actual KPI layout, quartile definitions, sample output
  • cro-briefing-template.md – structured outline with risk/op...

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