aws-solution-architect
Expert AWS solution architecture for startups focusing on serverless, scalable, and cost-effective cloud infrastructure with modern DevOps practices and infrastructure-as-code
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Installation for Agentic Skill
View all platforms →skilz install alirezarezvani/claude-skills/aws-solution-architectskilz install alirezarezvani/claude-skills/aws-solution-architect --agent opencodeskilz install alirezarezvani/claude-skills/aws-solution-architect --agent codexskilz install alirezarezvani/claude-skills/aws-solution-architect --agent geminiFirst time? Install Skilz: pip install skilz
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Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/alirezarezvani/claude-skillscp -r claude-skills/engineering-team/aws-solution-architect ~/.claude/skills/Need detailed installation help? Check our platform-specific guides:
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Agentic Skill Details
- Owner
- alirezarezvani (GitHub)
- Repository
- claude-skills
- Stars
- 579
- Forks
- 112
- Type
- Other
- Meta-Domain
- Primary Domain
- Market Score
- 0
Agent Skill Grade
D Score: 66/100 Click to see breakdown
Score Breakdown
Areas to Improve
- Description needs trigger phrases
- Bloated SKILL.md
- Missing Workflow Steps
Recommendations
- Focus on improving Writing Style (currently 4/10)
- Address 3 high-severity issues first
- Add trigger phrases to description for discoverability
Graded: 2026-01-24
Developer Feedback
I checked out your AWS Solution Architect skill and noticed the grading came in at 66/100 — there's a solid foundation here, but I'm curious what trade-offs you made between comprehensive coverage and keeping the documentation maintainable at this scope.
Links:
The TL;DR
You're at 66/100, D territory — based on Anthropic's best practices for agentic skills. Your strongest area is Spec Compliance (11/15), but Writing Style is dragging you down hard at just 4/10. The core issue isn't that your content is bad — it's that you're treating this like a reference manual when it should be a focused, actionable guide.
What's Working Well
- Solid spec foundation — Your frontmatter is valid YAML with all required fields, and you're using proper naming conventions (hyphen-case). That's the baseline done right.
- Real AWS expertise — The architecture patterns and service selection show you actually know your stuff. Cost breakdowns and trade-offs feel grounded in real experience.
- Helpful layering attempt — Your HOW_TO_USE.md file shows you understand that progressive disclosure matters; you just need to push that idea further into the main skill.
The Big One: SKILL.md is 345 Lines of Bloat
This is your main bottleneck. You've got 6 detailed architecture patterns, extensive best practices, service catalogs, and cost estimates all crammed into the primary file. That's not a skill guide — that's an AWS reference manual.
Why it matters: Every line dilutes the signal. When someone asks Claude to use your skill, they get 345 lines to parse when they probably need 10-15 actionable steps. You're burying the workflow in encyclopedia content.
The fix: Move those 6 arc...
AI-Detected Topics
Extracted using NLP analysis
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