mastering-aws-cli
AWS CLI v2 quick-reference for experienced developers. Covers compute (Lambda, ECS, EKS), storage (S3, DynamoDB, Aurora), networking (VPC, SSM tunneling), security (IAM, Secrets Manager), and GitHub Actions CI/CD. Use when asked to "write aws commands", "debug aws access", "set up cross-account roles", "configure aws cli", "assume role", "S3 bucket operations", or "deploy to ECS".
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Installation for Agentic Skill
View all platforms →skilz install SpillwaveSolutions/mastering-aws-cli/mastering-aws-cliskilz install SpillwaveSolutions/mastering-aws-cli/mastering-aws-cli --agent opencodeskilz install SpillwaveSolutions/mastering-aws-cli/mastering-aws-cli --agent codexskilz install SpillwaveSolutions/mastering-aws-cli/mastering-aws-cli --agent geminiFirst time? Install Skilz: pip install skilz
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Agentic Skill Details
- Owner
- SpillwaveSolutions (GitHub)
- Repository
- mastering-aws-cli
- Forks
- 1
- Type
- Non-Technical
- Meta-Domain
- general
- Primary Domain
- general
- Sub-Domain
- aws logs logging
- Market Score
- 96
Agent Skill Grade
A Score: 96/100 Click to see breakdown
Score Breakdown
Areas to Improve
- Missing When Not To Use clarity
- Large reference files lack sub-navigation
- Some code comments could be trimmed
Recommendations
- Add trigger phrases to description for discoverability
- Add table of contents for files over 100 lines
Graded: 2026-01-19
Developer Feedback
I took a look at your mastering-aws-cli skill and wanted to share some thoughts.
Links:
The TL;DR
You're at 96/100, solid A-grade territory. This is based on Anthropic's skill best practices rubric. Your strongest area is Spec Compliance (15/15 - perfect score), and you've built a really well-organized reference architecture with 17 deep-dive guides. The progressive disclosure structure is excellent - your SKILL.md acts as a proper hub routing to focused reference files, which is exactly how this should work. Weakest area is Utility at 18/20 - not because the content isn't valuable, but there's a bit of room to strengthen feedback loops and verification patterns.
What's Working Well
Perfect spec compliance - Your YAML frontmatter, naming conventions (hyphen-case), and description with 35+ trigger phrases is textbook. The description alone ("AWS CLI v2 quick-reference for experienced developers") is concise and specific.
Smart hub-and-spoke structure - Your SKILL.md at 310 lines routes to 17 reference files (300-700 lines each), each exactly one level deep. No nested chains, no decision paralysis. This is token-efficient and exactly what good PDA looks like.
Trigger coverage that actually works - You've got 35 trigger terms covering services (Lambda, DynamoDB, ECS), operations (IAM, tunneling, deployments), and patterns (cross-account, OIDC federation). This is thorough without being bloated.
Practical command density - Your references are packed with real, usable AWS CLI commands with inline comments explaining what each flag does. The JSON policy templates and GitHub Actions workflows are genuinely helpful.
The Big One: Feedback Loops Could Be Stronger
You're at 3/4 for feedbac...
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