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.
32
0%
Does it follow best practices?
Impact
92%
0.98xAverage score across 3 eval scenarios
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./planned-skills/generated/08-ml-deployment/model-registry-manager/SKILL.mdQuality
Discovery
0%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This description is essentially a placeholder with no substantive content. It names the skill and its category but provides no concrete actions, no meaningful trigger terms, and no guidance on when Claude should select it. The trigger terms are a duplicate of the skill name itself, offering no additional signal.
Suggestions
Add specific concrete actions the skill performs, e.g., 'Registers ML models, manages model versions, promotes models between stages (staging/production), tracks model metadata and lineage.'
Add an explicit 'Use when...' clause with natural trigger terms, e.g., 'Use when the user asks about registering models, model versioning, model promotion, model artifacts, or managing a model registry (e.g., MLflow, SageMaker Model Registry).'
Remove the duplicate trigger term and replace with varied natural keywords users would actually say, such as 'model version', 'deploy model', 'model catalog', 'model stage', 'model lineage'.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | The description names a domain ('ML Deployment') and a role ('Model Registry Manager') but lists zero concrete actions. There are no verbs describing what the skill actually does (e.g., register models, version artifacts, promote to production). | 1 / 3 |
Completeness | The description fails to answer 'what does this do' beyond naming itself, and there is no 'when should Claude use it' clause. The 'Triggers on' line just repeats the skill name rather than providing meaningful trigger guidance. | 1 / 3 |
Trigger Term Quality | The trigger terms are just 'model registry manager' repeated twice. There are no natural user keywords like 'register model', 'model versioning', 'model artifacts', 'MLflow', 'promote model', or 'model deployment'. | 1 / 3 |
Distinctiveness Conflict Risk | The description is so vague that it could overlap with any ML-related skill. 'ML Deployment' is broad, and without specific actions or triggers, it would be difficult to distinguish from other ML deployment or model management skills. | 1 / 3 |
Total | 4 / 12 Passed |
Implementation
0%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill is an empty template with no substantive content. It contains only generic boilerplate that describes what a skill *would* do without providing any actual instructions, code, tools, workflows, or domain-specific knowledge about model registry management. It adds zero value beyond what Claude already knows.
Suggestions
Add concrete, executable code examples for common model registry operations (e.g., registering a model with MLflow, promoting model stages, querying model versions) with specific library imports and commands.
Define a clear multi-step workflow for model registry management tasks, such as: register model → validate artifacts → transition stage → verify deployment, with explicit validation checkpoints at each step.
Remove all generic boilerplate sections (Purpose, When to Use, Capabilities, Example Triggers) and replace with actionable content covering specific tools (MLflow, Weights & Biases, SageMaker Model Registry), configuration patterns, and common pitfalls.
Add references to supplementary files for advanced topics like model versioning strategies, A/B testing with registry, and automated promotion pipelines.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is entirely filler and boilerplate. It explains nothing Claude doesn't already know, repeats 'model registry manager' excessively, and provides zero substantive information about how to actually manage a model registry. | 1 / 3 |
Actionability | There are no concrete steps, no code examples, no commands, no specific tools mentioned, and no executable guidance whatsoever. Every section is vague and abstract, describing what the skill supposedly does rather than instructing how to do anything. | 1 / 3 |
Workflow Clarity | No workflow is defined at all. There are no steps, no sequences, no validation checkpoints. The phrase 'step-by-step guidance' is mentioned as a capability but none is actually provided. | 1 / 3 |
Progressive Disclosure | The content is a flat, monolithic block of generic placeholder text with no references to detailed materials, no links to related files, and no meaningful structural organization beyond boilerplate headings. | 1 / 3 |
Total | 4 / 12 Passed |
Validation
81%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 9 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
allowed_tools_field | 'allowed-tools' contains unusual tool name(s) | Warning |
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 9 / 11 Passed | |
- Commit
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- Reviewed
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