c7dc957823
Complete restructure based on AI Agent Skills Benchmark feedback (original score: 66/100):
## Directory Reorganization
- Moved Python scripts to scripts/ directory
- Moved sample files to assets/ directory
- Created references/ directory with extracted content
- Removed HOW_TO_USE.md (integrated into SKILL.md)
- Removed __pycache__
## New Reference Files (3 files)
- architecture_patterns.md: 6 AWS patterns (serverless, microservices, three-tier,
data processing, GraphQL, multi-region) with diagrams, cost breakdowns, pros/cons
- service_selection.md: Decision matrices for compute, database, storage, messaging,
networking, security services with code examples
- best_practices.md: Serverless design, cost optimization, security hardening,
scalability patterns, common pitfalls
## SKILL.md Rewrite
- Reduced from 345 lines to 307 lines (moved patterns to references/)
- Added trigger phrases to description ("design serverless architecture",
"create CloudFormation templates", "optimize AWS costs")
- Structured around 6-step workflow instead of encyclopedia format
- Added Quick Start examples (MVP, Scaling, Cost Optimization, IaC)
- Removed marketing language ("Expert", "comprehensive")
- Consistent imperative voice throughout
## Structure Changes
- scripts/: architecture_designer.py, cost_optimizer.py, serverless_stack.py
- references/: architecture_patterns.md, service_selection.md, best_practices.md
- assets/: sample_input.json, expected_output.json
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
19 lines
426 B
JSON
19 lines
426 B
JSON
{
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"application_type": "saas_platform",
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"expected_users": 50000,
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"requests_per_second": 100,
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"budget_monthly_usd": 1500,
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"team_size": 5,
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"aws_experience": "intermediate",
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"compliance": ["GDPR"],
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"data_size_gb": 500,
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"region": "us-east-1",
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"requirements": {
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"authentication": true,
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"real_time_features": false,
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"multi_region": false,
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"high_availability": true,
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"auto_scaling": true
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}
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}
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