using-ml-production
Router skill directing to deployment, optimization, MLOps, and monitoring guides.
npx skills add majiayu000/claude-skill-registry --skill using-ml-production --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Using ML Production ## Overview This meta-skill routes you to the right production deployment skill based on your concern. Load this when you need to move ML models to production but aren't sure which specific aspect to address. **Core Principle**: Production concerns fall into four categories. Identify the concern first, then route to the appropriate skill. Tools and infrastructure choices are implementation details, not routing criteria. ## When to Use Load this skill when: - Deploying ML models to production - Optimizing model inference (speed, size, cost) - Setting up MLOps workflows (tracking, automation, CI/CD) - Monitoring or debugging production models - User mentions: "production", "deploy", "serve model", "MLOps", "monitoring", "optimize inference" **Don't use for**: Training optimization (use `training-optimization`), model architecture selection (use `neural-architectures`), PyTorch infrastructure (use `pytorch-engineering`) --- ## How to Access Reference Sheets **IMPORTANT**: All reference sheets are located in the SAME DIRECTORY as this SKILL.md file. When this skill is loaded from: `skills/using-ml-production/SKILL.md` Reference sheets like `quantization-for-infere
- Overview
- When to Use
- How to Access Reference Sheets
- Routing by Concern
- Category 1: Model Optimization
- Category 2: Serving Infrastructure
- Category 3: MLOps Tooling
- Category 4: Observability
- Routing Decision Tree
- Clarification Questions for Ambiguous Queries
- Query: "My model is too slow"
- Query: "I need to deploy my model"
- Query: "My model isn't performing well in production"
- Query: "Set up MLOps for my team"
What does the using-ml-production skill do?
Router skill directing to deployment, optimization, MLOps, and monitoring guides.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill using-ml-production --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.