scalability-advisor
Guidance for scaling systems from startup to enterprise scale. Use when planning for growth, diagnosing bottlenecks, or designing systems that need to handle 10x-1000x current load.
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Installation for Agentic Skill
View all platforms →skilz install alirezarezvani/claude-cto-team/scalability-advisorskilz install alirezarezvani/claude-cto-team/scalability-advisor --agent opencodeskilz install alirezarezvani/claude-cto-team/scalability-advisor --agent codexskilz install alirezarezvani/claude-cto-team/scalability-advisor --agent geminiFirst time? Install Skilz: pip install skilz
Works with 22+ AI coding assistants
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Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/alirezarezvani/claude-cto-teamcp -r claude-cto-team/skills/scalability-advisor ~/.claude/skills/Need detailed installation help? Check our platform-specific guides:
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Agentic Skill Details
- Owner
- alirezarezvani (GitHub)
- Repository
- claude-cto-team
- Stars
- 44
- Forks
- 10
- Type
- Non-Technical
- Meta-Domain
- development
- Primary Domain
- github
- Market Score
- 0
Agent Skill Grade
B Score: 83/100 Click to see breakdown
Score Breakdown
Areas to Improve
- Missing Reference Files
- Missing TOC for Long File
- Checklist Items Not Actionable
Recommendations
- Address 1 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 found your scalability-advisor skill while reviewing distributed systems tooling—the way you've structured the guidance around architectural patterns rather than just optimization tricks is genuinely useful. Scored it an 83, and I think the main lift for a 90+ would be tightening up the PDA structure to reduce token overhead in the explanatory sections.
Links:
The TL;DR
You're at 83/100, solid B territory. This evaluation's based on Anthropic's skill best practices—specifically looking at Progressive Disclosure Architecture, ease of use, spec compliance, writing style, and utility. Your strongest area is Writing Style (9/10)—the content is concise and technically sound. Weakest is PDA (18/30)—mostly because you've packed everything into one 466-line file instead of using a layered reference structure.
What's Working Well
- Trigger phrase specificity: You nailed the discovery angle with concrete scenarios like "planning growth," "diagnosing bottlenecks," and "10x-1000x load changes." That's exactly how developers search for skills.
- Stage-based framework: Breaking scaling into Startup → Growth → Scale stages with clear metrics (10k users, 100k users, etc.) makes it actionable rather than abstract advice.
- Copy-paste ready content: Your SQL queries, formulas, and ASCII architecture diagrams are genuinely useful—the kind of thing someone can actually use without modification. That earned you a +2 bonus.
- Decision criteria: Each "When to Move to Stage X" section has concrete thresholds. That's rare and valuable.
The Big One: Missing Reference Files Breaking PDA
Your SKILL.md references two files that don't exist:
bottleneck-diagnosis.md- `capacity-calculator.md...
AI-Detected Topics
Extracted using NLP analysis
Browse Category
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