site-performance-watch
Monitoring and alerting framework for ecommerce site speed, errors, and uptime.
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Installation for Agentic Skill
View all platforms →skilz install gtmagents/gtm-agents/site-performance-watchskilz install gtmagents/gtm-agents/site-performance-watch --agent opencodeskilz install gtmagents/gtm-agents/site-performance-watch --agent codexskilz install gtmagents/gtm-agents/site-performance-watch --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/e-commerce/skills/site-performance-watch ~/.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
- Technical
- Meta-Domain
- media
- Primary Domain
- monitoring
- Market Score
- 28
Agent Skill Grade
D Score: 67/100 Click to see breakdown
Score Breakdown
Areas to Improve
- Description needs trigger phrases
- Missing Reference Files for Templates
- No Actionable Workflow Steps
Recommendations
- Address 2 high-severity issues first
- Add trigger phrases to description for discoverability
- Add table of contents for files over 100 lines
Graded: 2026-01-24
Developer Feedback
I've been looking at how skills approach performance monitoring, and your site-performance-watch implementation caught my attention—the architecture is solid, but the score breakdown suggests there's room to tighten up the spec compliance and some of the foundational design choices that would push this from a D to something stronger.
Links:
The TL;DR
You're at 67/100, solidly in D territory. This is based on Anthropic's Progressive Disclosure Architecture patterns. Your strongest area is Spec Compliance (11/15), but you're bleeding points in PDA (18/30) and Ease of Use (17/25). The real opportunity here is converting those vague templates and concepts into actual reference files—that's a quick +7 point win.
What's Working Well
- Solid YAML frontmatter – The metadata structure is clean and valid (5/5 points)
- Hyphen-case naming follows conventions perfectly (4/4 points)
- Grep-friendly structure – The skill file is well-organized enough for quick parsing
- Real e-commerce focus – KPI Stack, Segmentation, and Alerting Rules address an actual pain point in the space
The Big One: Missing Reference Files
This is your biggest leverage point. You mention three templates—performance scorecard, incident log, escalation matrix—but none of them exist as actual reference files. Right now, they're just promises.
Here's the fix: Create a references/ subdirectory with:
references/performance-scorecard.md– Actual template with spark lines and threshold examplesreferences/incident-log.md– Pre-filled incident response structurereferences/escalation-matrix.md– Decision tree for who to notify when
This alone bumps you +7 points (PDA gains 4, Utility ga...
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