quota-health
Use to analyze quota distribution, attainment fairness, and productivity signals.
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Installation for Agentic Skill
View all platforms →skilz install gtmagents/gtm-agents/quota-healthskilz install gtmagents/gtm-agents/quota-health --agent opencodeskilz install gtmagents/gtm-agents/quota-health --agent codexskilz install gtmagents/gtm-agents/quota-health --agent geminiFirst time? Install Skilz: pip install skilz
Works with 22+ AI coding assistants
Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...
Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/gtmagents/gtm-agentscp -r gtm-agents/plugins/sales-operations/skills/quota-health ~/.claude/skills/Need detailed installation help? Check our platform-specific guides:
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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
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 outputcro-briefing-template.md– structured outline with risk/op...
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