Model Versioning
Model versioning is practice of tracking and managing different versions of machine learning models throughout their lifecycle. This skill covers versioning strategies, model registries, metadata mana
npx skills add majiayu000/claude-skill-registry --skill model-versioning --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.
# Model Versioning ## Skill Profile *(Select at least one profile to enable specific modules)* - [ ] **DevOps** - [x] **Backend** - [ ] **Frontend** - [ ] **AI-RAG** - [ ] **Security Critical** ## Overview Model versioning is practice of tracking and managing different versions of machine learning models throughout their lifecycle. This skill covers versioning strategies, model registries, metadata management, lineage tracking, artifact storage, promotion workflows, A/B testing, and model comparison tools. ## Why This Matters - **Traceability**: Track model changes and lineage - **Reproducibility**: Know which model produced which results - **Rollback**: Revert to previous versions if needed - **A/B Testing**: Compare model versions in production - **Compliance**: Meet regulatory requirements for model tracking ## Core Concepts & Rules ### 1. Core Principles - Follow established patterns and conventions - Maintain consistency across codebase - Document decisions and trade-offs ### 2. Implementation Guidelines - Start with the simplest viable solution - Iterate based on feedback and requirements - Test thoroughly before deployment ## Inputs / Outputs / Contracts # ## Skill Compositi
- Skill Profile
- Overview
- Why This Matters
- Core Concepts & Rules
- 1. Core Principles
- 2. Implementation Guidelines
- Inputs / Outputs / Contracts
- Skill Composition
- Quick Start / Implementation Example
- Assumptions
- Compatibility
- Test Scenario Matrix (QA Strategy)
- Technical Guardrails & Security Threat Model
- 1. Security & Privacy (Threat Model)
What does the Model Versioning skill do?
Model versioning is practice of tracking and managing different versions of machine learning models throughout their lifecycle. This skill covers versioning strategies, model registries, metadata mana
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill model-versioning --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.