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 a boilerplate template with no substantive content. It names a category ('ML Deployment') and a role ('Model Registry Manager') but provides zero concrete actions, no natural trigger terms, and no explicit guidance on when to use the skill. It would be nearly impossible for Claude to correctly select this skill from a pool of similar ML-related skills.
Suggestions
Add specific concrete actions the skill performs, e.g., 'Registers trained ML models, manages model versions, promotes models between staging and production environments, tracks model metadata and lineage.'
Add an explicit 'Use when...' clause with natural trigger terms, e.g., 'Use when the user mentions model registry, registering a model, model versioning, model promotion, MLflow registry, model artifacts, or deploying ML models.'
Remove the duplicated trigger term ('model registry manager' is listed twice) and expand with varied natural phrases users would actually say, such as 'register model', 'model catalog', 'model store', 'version a model', 'model lifecycle'.
| 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—no 'registers models', 'versions artifacts', 'promotes to production', etc. | 1 / 3 |
Completeness | The description fails to answer 'what does this do' (no concrete capabilities) and 'when should Claude use it' (no explicit 'Use when...' clause or equivalent guidance). Both dimensions are essentially missing. | 1 / 3 |
Trigger Term Quality | The only trigger terms listed are the duplicated phrase 'model registry manager'. There are no natural user keywords like 'register model', 'model versioning', 'MLflow', 'model artifact', 'promote model', or 'model deployment' that a user would naturally say. | 1 / 3 |
Distinctiveness Conflict Risk | The description is extremely generic within the ML/deployment space. 'Model Registry Manager' could overlap with any ML ops, model serving, or deployment skill. Without specific actions or file types, it provides no clear niche. | 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 repeats the skill name without providing any actual instructions, code, workflows, or domain-specific knowledge about model registry management. It fails on every dimension because it teaches Claude nothing actionable.
Suggestions
Add concrete, executable code examples for common model registry operations (e.g., registering a model with MLflow, promoting model versions, querying registry metadata).
Define a clear multi-step workflow for model lifecycle management (e.g., register → validate → stage → promote to production) with explicit validation checkpoints at each stage.
Remove all generic boilerplate sections (Purpose, When to Use, Capabilities, Example Triggers) and replace with actionable content: specific commands, API patterns, configuration examples, and common pitfalls.
Add references to detailed guides for specific registry platforms (MLflow, Vertex AI Model Registry, SageMaker Model Registry) if the skill is meant to cover multiple platforms.
| 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 domain-specific information or instructions. | 1 / 3 |
Actionability | There are no concrete code examples, commands, configurations, or specific steps. Every section is vague and abstract—'Provides step-by-step guidance' without actually providing any guidance. | 1 / 3 |
Workflow Clarity | No workflow is defined at all. There are no steps, no sequences, no validation checkpoints—just generic claims about capabilities without any actual process. | 1 / 3 |
Progressive Disclosure | The content is a flat, monolithic block of generic 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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