mastering-gcloud-commands
Expert-level Google Cloud CLI (gcloud) skill for managing GCP resources. Use when workingwith "gcloud commands", "cloud run deploy", "alloydb", "cloud sql", "workload identityfederation", "iam permissions", "vpc networking", "secret manager", or "artifact registry".Covers installation, authentication, IAM, Cloud Run, Cloud Storage, VPC, AlloyDB, Firebase,and CI/CD integration with GitHub Actions and Cloud Build.
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Installation for Agentic Skill
View all platforms →skilz install SpillwaveSolutions/mastering-gcloud-commands/mastering-gcloud-commandsskilz install SpillwaveSolutions/mastering-gcloud-commands/mastering-gcloud-commands --agent opencodeskilz install SpillwaveSolutions/mastering-gcloud-commands/mastering-gcloud-commands --agent codexskilz install SpillwaveSolutions/mastering-gcloud-commands/mastering-gcloud-commands --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/SpillwaveSolutions/mastering-gcloud-commandscp -r mastering-gcloud-commands ~/.claude/skills/Need detailed installation help? Check our platform-specific guides:
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Agentic Skill Details
- Owner
- SpillwaveSolutions (GitHub)
- Repository
- mastering-gcloud-commands
- Type
- Other
- Meta-Domain
- Primary Domain
- Market Score
- 96
Agent Skill Grade
A Score: 96/100 Click to see breakdown
Score Breakdown
Areas to Improve
- Missing TOC in long references
- Some verbose explanatory text
- Scripts section lacks usage examples
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-gcloud-commands skill and wanted to share some thoughts.
Links:
The TL;DR
You're at 96/100, solidly in A territory. This is based on Anthropic's skill best practices rubric. Your strongest area is Spec Compliance (14/15) — the frontmatter is clean and your triggers are comprehensive (33 of them covering major GCP services). Weakest is Writing Style (9/10) — mostly because some explanatory sections could be trimmed for token efficiency when Claude reads them.
What's Working Well
- 33 explicit triggers covering everything from
gcloud,cloud run,alloydb, toworkload identity federation. That's a lot of discoverability entry points and you nailed the trigger phrase coverage. - Progressive disclosure is genuinely good — SKILL.md gives you the actionable overview, then 18 reference files let you deep-dive without bloat. The phase-numbered deployment workflows and pre-deployment checklists with actual checkboxes make it scannable.
- Real examples throughout — BAD/GOOD comparisons, complete script templates, and verification commands. You're not just telling people what to do; you're showing them what to avoid.
- Clear scope boundaries — you explicitly say what this covers (gcloud CLI patterns, deployment workflows) and what it doesn't (DBA admin, backup/replication). That's valuable.
The Big One: Missing Navigation in Long References
Your longer reference files (like vpc-networking.md at 250+ lines) don't have a table of contents. When Claude (or any LLM) reads a reference file, it's scanning linearly, so without anchor links at the top, it can miss sections it needs.
The fix: Add a ## Contents section at the top of any ...
AI-Detected Topics
Extracted using NLP analysis
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mastering-gcloud-commands
https://github.com/SpillwaveSolutions/mastering-gcloud-commandsThank you for helping keep SkillzWave secure. We'll review your report and take appropriate action.
Note: For critical security issues that require immediate attention, please also email security@skillzwave.ai directly.