model-registry
Centralized model versioning, staging, and lifecycle management. Activates for "model registry", "model versioning", "model staging", "deploy to production", "rollback model", "model metadata", "model lineage", "promote model", "model catalog". Manages ML model lifecycle from development through production with SpecWeave increment integration.
npx skills add majiayu000/claude-skill-registry --skill model-registry --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 Registry ## Overview Centralized system for managing ML model lifecycle: versioning, staging (dev/staging/prod), metadata tracking, lineage, and rollback. Ensures production models are tracked, reproducible, and can be safely deployed or rolled back—all integrated with SpecWeave's increment workflow. ## Why Model Registry Matters **Without Model Registry**: - ❌ "Which model is in production?" - ❌ "Can't reproduce model from 3 months ago" - ❌ "Breaking change deployed, how to rollback?" - ❌ "Model metadata scattered across notebooks" - ❌ "No audit trail for model changes" **With Model Registry**: - ✅ Single source of truth for all models - ✅ Full version history with metadata - ✅ Safe staging pipeline (dev → staging → prod) - ✅ One-command rollback - ✅ Complete model lineage - ✅ Audit trail for compliance ## Model Registry Structure ### Model Lifecycle Stages ``` Development → Staging → Production → Archived Dev: Training, experimentation Staging: Validation, A/B testing (10% traffic) Prod: Production deployment (100% traffic) Archived: Decommissioned, kept for audit ``` ## Core Operations ### 1. Model Registration ```python from specweave import ModelRegistry registry = Mod
- Overview
- Why Model Registry Matters
- Model Registry Structure
- Model Lifecycle Stages
- Core Operations
- 1. Model Registration
- 2. Model Versioning
- 3. Model Promotion
- 4. Model Rollback
- 5. Model Retrieval
- Model Metadata
- Tracked Metadata
- Model Lineage
- Tracking Model Lineage
List all models Get model info Promote model Rollback model Compare models
What does the model-registry skill do?
Centralized model versioning, staging, and lifecycle management. Activates for "model registry", "model versioning", "model staging", "deploy to production", "rollback model", "model metadata", "model lineage", "promote model", "model catalog". Manages ML model lifecycle from development through production with SpecWeave increment integration.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill model-registry --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.