deploying-postgres-k8s
Deploys PostgreSQL on Kubernetes using the CloudNativePG operator with automated failover.Use when setting up PostgreSQL for production workloads, high availability, or local K8s development.Covers operator installation, cluster creation, connection secrets, and backup configuration.NOT when using managed Postgres (Neon, RDS, Cloud SQL) or simple Docker containers.
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Installation for Agentic Skill
View all platforms →skilz install mjunaidca/mjs-agent-skills/deploying-postgres-k8sskilz install mjunaidca/mjs-agent-skills/deploying-postgres-k8s --agent opencodeskilz install mjunaidca/mjs-agent-skills/deploying-postgres-k8s --agent codexskilz install mjunaidca/mjs-agent-skills/deploying-postgres-k8s --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/mjunaidca/mjs-agent-skillscp -r mjs-agent-skills/.claude/skills/deploying-postgres-k8s ~/.claude/skills/Need detailed installation help? Check our platform-specific guides:
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Agentic Skill Details
- Repository
- mjs-agent-skills
- Stars
- 1
- Forks
- 2
- Type
- Technical
- Meta-Domain
- cloud infrastructure
- Primary Domain
- kubernetes
- Market Score
- 17
Agent Skill Grade
A Score: 94/100 Click to see breakdown
Score Breakdown
Areas to Improve
- Missing References Directory
- No Complete Workflow Example
- Limited Checklist Usage
Recommendations
- Add trigger phrases to description for discoverability
- Add table of contents for files over 100 lines
Graded: 2026-01-24
Developer Feedback
I've been digging through PostgreSQL deployment patterns lately, and your approach to containerizing stateful databases on Kubernetes actually solves some of the messiness I've seen in production setups—curious how you're handling persistence across node failures without overcomplicating the configuration.
Links:
The TL;DR
You're at 94/100, solid A-grade territory. This is based on Anthropic's best practices for skill design. Your writing style is basically flawless (10/10), and your PDA architecture scores well at 25/30, but you're leaving a few points on the table with missing reference files and incomplete workflow examples.
What's Working Well
- Writing clarity is chef's kiss — Pure imperative form throughout ("Deploy", "Connect", "Create"), zero marketing fluff. The technical density matches what Claude needs without overthinking it.
- Your trigger phrases nail discoverability — CloudNativePG, Kubernetes, PostgreSQL, high availability, operator pattern. Someone looking for K8s database solutions will find this immediately.
- Strong validation patterns — You've got
kubectl wait, rollout status checks, and a solid troubleshooting section. That's not fluff; that's practical. - Token efficiency is real — 365 lines sounds long, but it's packed with actionable content and clear commands. No cruft.
The Big One: Missing References Architecture
Here's what's holding you back from 98+: all your content lives in a single SKILL.md file. You've got backup restore procedures, monitoring setup, and troubleshooting crammed inline, which bloats the main file and makes layering impossible.
The fix: Create a references/ directory with three files:
- `references/backup-resto...
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