tensorflow-serving-setup
Tensorflow Serving Setup - Auto-activating skill for ML Deployment. Triggers on: tensorflow serving setup, tensorflow serving setup Part of the ML Deployment skill category.
Install with Tessl CLI
npx tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill tensorflow-serving-setupOverall
score
19%
Does it follow best practices?
Validation for skill structure
Activation
7%This description is severely underdeveloped, functioning more as a label than a useful skill description. It lacks concrete actions, meaningful trigger terms, and explicit usage guidance. The redundant trigger term and reliance on category membership rather than specific capabilities makes it difficult for Claude to appropriately select this skill.
Suggestions
Add specific concrete actions like 'Configure TensorFlow Serving containers, set up model versioning, create REST/gRPC inference endpoints, manage model signatures'
Include a 'Use when...' clause with natural trigger phrases: 'Use when deploying TensorFlow/Keras models to production, setting up model serving infrastructure, or configuring inference endpoints'
Expand trigger terms to include variations: 'TF Serving', 'serve TensorFlow model', 'model serving', 'inference server', 'SavedModel deployment'
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | The description only mentions 'Tensorflow Serving Setup' without describing any concrete actions. It doesn't explain what specific tasks this skill performs (e.g., configure serving endpoints, deploy models, set up Docker containers). | 1 / 3 |
Completeness | The description fails to answer 'what does this do' beyond the name, and has no explicit 'Use when...' clause. The 'Triggers on' section is not a proper when-to-use guidance, just keyword matching. | 1 / 3 |
Trigger Term Quality | The trigger terms are redundant ('tensorflow serving setup' listed twice) and limited. Missing natural variations users might say like 'deploy TensorFlow model', 'serve ML model', 'TF serving', 'model inference endpoint', or 'production ML deployment'. | 1 / 3 |
Distinctiveness Conflict Risk | While 'TensorFlow Serving' is a specific technology, the description is vague enough that it could overlap with general ML deployment skills. The mention of 'ML Deployment skill category' suggests potential conflicts with other skills in that category. | 2 / 3 |
Total | 5 / 12 Passed |
Implementation
0%This skill content is entirely meta-description with zero actionable content about TensorFlow Serving setup. It describes what the skill claims to do but provides no actual instructions, code examples, configuration templates, or workflows. The content would be useless for actually setting up TensorFlow Serving.
Suggestions
Add concrete, executable code examples for TensorFlow Serving setup (e.g., Docker commands, model export code, serving configuration)
Include a step-by-step workflow with validation checkpoints (e.g., 1. Export model, 2. Configure serving, 3. Test endpoint, 4. Verify predictions)
Remove all meta-description sections ('Purpose', 'When to Use', 'Example Triggers') and replace with actual technical content
Add specific configuration examples (e.g., model.config, batching parameters, REST/gRPC endpoint setup)
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is padded with generic boilerplate that explains nothing specific about TensorFlow Serving. Phrases like 'provides automated assistance' and 'follows industry best practices' are filler that Claude already understands. | 1 / 3 |
Actionability | No concrete code, commands, or specific instructions are provided. The skill describes what it does abstractly ('provides step-by-step guidance') but never actually provides any guidance, configurations, or executable examples. | 1 / 3 |
Workflow Clarity | No workflow is defined. There are no steps for setting up TensorFlow Serving, no validation checkpoints, and no sequence of operations. The content only describes when the skill activates, not how to perform the task. | 1 / 3 |
Progressive Disclosure | The content is a monolithic block of meta-description with no actual technical content to organize. There are no references to detailed documentation, examples, or related files that would provide the actual implementation guidance. | 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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