scalability-advisor

44 stars 10 forks
0
B

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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#Architecture#claude-ai#cto-office#Stage#cto#high CPU#roadmap#Server CPU
Also in: data analysis

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Installation for Agentic Skill

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skilz install alirezarezvani/claude-cto-team/scalability-advisor
skilz install alirezarezvani/claude-cto-team/scalability-advisor --agent opencode
skilz install alirezarezvani/claude-cto-team/scalability-advisor --agent codex
skilz install alirezarezvani/claude-cto-team/scalability-advisor --agent gemini

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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/alirezarezvani/claude-cto-team
2. Copy the agent skill directory:
cp -r claude-cto-team/skills/scalability-advisor ~/.claude/skills/

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

Related Agentic Skills

Agentic Skill Details

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

Spec Compliance
12/15
PDA Architecture
18/30
Ease of Use
22/25
Writing Style
9/10
Utility
17/20
Modifiers: +5

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

Architecture claude-ai cto-office Stage cto high CPU roadmap Server CPU claude-code ai-workflow-automation

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