model-registry-manager
Model Registry Manager - Auto-activating skill for ML Deployment. Triggers on: model registry manager, model registry manager Part of the ML Deployment skill category.
Install with Tessl CLI
npx tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill model-registry-managerOverall
score
19%
Does it follow best practices?
Validation for skill structure
Activation
7%This description is severely underdeveloped, essentially just restating the skill name without explaining capabilities or providing useful trigger guidance. It lacks any concrete actions, has redundant and narrow trigger terms, and provides no meaningful 'when to use' information. Claude would struggle to select this skill appropriately from a list of ML-related skills.
Suggestions
Add specific actions the skill performs, e.g., 'Registers ML models, tracks model versions, manages model metadata, promotes models between stages (dev/staging/prod), and retrieves model artifacts.'
Include a 'Use when...' clause with natural trigger terms: 'Use when the user mentions model registry, model versioning, MLflow, model promotion, model catalog, or needs to track/deploy ML models.'
Remove the redundant trigger term and expand to include variations users would naturally say, such as 'register a model', 'model versions', 'production model', 'model artifacts'.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | The description only names the domain ('Model Registry Manager') but provides no concrete actions. There are no verbs describing what the skill actually does - no 'registers models', 'tracks versions', 'manages deployments', etc. | 1 / 3 |
Completeness | The description fails to answer 'what does this do' beyond the title, and the 'when' guidance is just a circular reference to the skill name. There is no explicit 'Use when...' clause with meaningful triggers. | 1 / 3 |
Trigger Term Quality | The trigger terms are redundant ('model registry manager' listed twice) and overly specific. Missing natural variations users might say like 'register model', 'model versioning', 'MLflow', 'model catalog', or 'track model'. | 1 / 3 |
Distinctiveness Conflict Risk | The term 'Model Registry Manager' is somewhat specific to ML workflows, but without describing actual capabilities, it could overlap with other ML deployment skills. The 'ML Deployment skill category' mention provides some context but doesn't clarify boundaries. | 2 / 3 |
Total | 5 / 12 Passed |
Implementation
0%This skill is essentially a placeholder template with no substantive content. It describes what a model registry manager skill would do without providing any actual guidance, code examples, or workflows for managing model registries. The entire content is meta-description about the skill rather than actionable instructions.
Suggestions
Add concrete code examples for common model registry operations (e.g., registering a model, versioning, promoting to production) using specific tools like MLflow, Weights & Biases, or SageMaker Model Registry
Define a clear workflow for model lifecycle management with validation checkpoints (e.g., register -> validate -> stage -> approve -> deploy)
Remove the generic 'Capabilities' and 'Example Triggers' sections and replace with actual implementation guidance
Include specific commands or API calls for at least one model registry platform with copy-paste ready examples
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is padded with generic boilerplate that explains nothing specific about model registry management. Phrases like 'provides automated assistance' and 'follows industry best practices' are filler that Claude doesn't need. | 1 / 3 |
Actionability | No concrete code, commands, or specific guidance is provided. The skill describes what it does abstractly ('provides step-by-step guidance') but never actually provides any guidance, examples, or executable instructions. | 1 / 3 |
Workflow Clarity | No workflow, steps, or process is defined. The content only describes trigger conditions and vague capabilities without any actual procedure for model registry management tasks. | 1 / 3 |
Progressive Disclosure | The content is a monolithic block of meta-description with no structure pointing to actual content. There are no references to detailed materials, examples, or related documentation that would provide real value. | 1 / 3 |
Total | 4 / 12 Passed |
Validation
69%Validation — 11 / 16 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
description_trigger_hint | Description may be missing an explicit 'when to use' trigger hint (e.g., 'Use when...') | Warning |
allowed_tools_field | 'allowed-tools' contains unusual tool name(s) | Warning |
metadata_version | 'metadata' field is not a dictionary | Warning |
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
body_steps | No step-by-step structure detected (no ordered list); consider adding a simple workflow | Warning |
Total | 11 / 16 Passed | |
Reviewed
Table of Contents
Is this your skill?
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.