model-versioning-manager
Model Versioning Manager - Auto-activating skill for ML Deployment. Triggers on: model versioning manager, model versioning manager Part of the ML Deployment skill category.
Install with Tessl CLI
npx tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill model-versioning-managerOverall
score
19%
Does it follow best practices?
Validation for skill structure
Activation
7%This description is severely lacking in all key areas. It functions more as a label than a description, providing no information about what the skill actually does or when it should be used. The repeated trigger term and absence of concrete actions make it nearly useless for skill selection among multiple options.
Suggestions
Add specific concrete actions the skill performs, e.g., 'Tracks model versions, manages model registry, handles rollbacks, compares model performance across versions'
Include a 'Use when...' clause with natural trigger terms like 'version control for models', 'model registry', 'track ML model versions', 'rollback model', 'model deployment history'
Fix the duplicate trigger term and expand to include variations users would naturally say when needing this functionality
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | The description only names the skill ('Model Versioning Manager') without describing any concrete actions. There are no verbs indicating what the skill actually does - no mention of specific capabilities like tracking versions, comparing models, deploying, rolling back, etc. | 1 / 3 |
Completeness | The description fails to answer both 'what does this do' and 'when should Claude use it'. It only states the category ('ML Deployment') and that it auto-activates, but provides no explicit trigger guidance or capability explanation. | 1 / 3 |
Trigger Term Quality | The trigger terms listed are just the skill name repeated twice ('model versioning manager, model versioning manager'). This provides no natural keyword variations users might say like 'version control', 'model registry', 'track model versions', 'ML versioning', etc. | 1 / 3 |
Distinctiveness Conflict Risk | While 'Model Versioning Manager' is somewhat specific to ML workflows, the lack of concrete actions means it could overlap with other ML-related skills. The category mention ('ML Deployment') provides some context but isn't sufficient for clear differentiation. | 2 / 3 |
Total | 5 / 12 Passed |
Implementation
0%This skill is an empty template with no substantive content. It describes what a model versioning skill should do without providing any actual guidance, code examples, commands, or workflows. The content consists entirely of generic marketing-style language that adds no value to Claude's capabilities.
Suggestions
Add concrete code examples for common model versioning operations (e.g., registering a model version, tagging releases, rollback procedures)
Define a clear workflow with validation steps for versioning models in production (e.g., 1. Tag model artifact, 2. Update registry, 3. Validate deployment, 4. Promote/rollback)
Include specific tool integrations (MLflow, DVC, Weights & Biases) with executable commands rather than abstract capability claims
Remove all generic boilerplate ('provides automated assistance', 'follows best practices') and replace with actionable instructions
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is padded with generic boilerplate that explains nothing Claude doesn't already know. Phrases like 'provides automated assistance' and 'follows industry best practices' are meaningless filler with no actionable information. | 1 / 3 |
Actionability | No concrete code, commands, or specific guidance is provided. The entire skill describes what it does abstractly without showing how to actually perform model versioning tasks. | 1 / 3 |
Workflow Clarity | No workflow, steps, or process is defined. The skill claims to provide 'step-by-step guidance' but contains zero actual steps for any model versioning operation. | 1 / 3 |
Progressive Disclosure | No references to detailed documentation, no structured content organization, and no navigation to related resources. The content is a shallow placeholder with no depth to disclose. | 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
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