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pytorch-lightning

Deep learning framework (PyTorch Lightning). Organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, implement data pipelines, callbacks, logging (W&B, TensorBoard), distributed training (DDP, FSDP, DeepSpeed), for scalable neural network training.

64

Quality

81%

Does it follow best practices?

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Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

78%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is well-structured, actionable, and exemplifies progressive disclosure with concise inline summaries pointing to verified reference files and executable templates. Slight trimming of the Overview/When-to-Use overlap would improve conciseness.

DimensionReasoningScore

Conciseness

Mostly lean with short bullet lists and compact code; minor instances of over-explanation (the Overview and 'When to Use' sections partially restate the description's capabilities), but no padding of basic concepts Claude already knows.

4 / 5

Actionability

Provides mostly executable, copy-paste-ready code (MyModel LightningModule, Trainer.fit, strategy configuration) plus concrete API calls and pointers to executable templates; minor gaps like omitted imports and placeholder network names.

4 / 5

Workflow Clarity

The Quick Workflow gives a clear 3-step sequence (define model, prepare data, train) with code; this orientation skill is not a destructive/batch operation so the validation cap does not apply, though no explicit validation checkpoints are present.

4 / 5

Progressive Disclosure

Clear overview with well-signaled one-level-deep references: each Core Capability section summarizes inline then points to verified-existing scripts/ and references/ files, with a Resources section organizing both directories for easy navigation.

5 / 5

Total

17

/

20

Passed

Description

75%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is specific, distinctive, and rich in natural trigger terms, but it omits any explicit 'when to use' guidance, which caps its completeness. Adding a 'Use when...' clause would raise the completeness score.

Suggestions

Add an explicit trigger clause such as 'Use when building, training, or scaling neural networks with PyTorch Lightning' to satisfy the 'when' half of completeness.

Include natural synonyms users say ('deep learning', 'neural network training', 'model training') alongside the framework jargon to broaden trigger term coverage.

Lead with the primary action verb and the 'Use when' phrasing earlier so both 'what' and 'when' are immediately apparent.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions ('Organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, implement data pipelines, callbacks, logging... distributed training (DDP, FSDP, DeepSpeed)') with comprehensive coverage of the framework's capabilities.

5 / 5

Completeness

Has a clear 'what' via the enumerated actions, but lacks any 'Use when...' clause or explicit trigger guidance, capping completeness at 3 per the rubric guideline.

3 / 5

Trigger Term Quality

Good keyword coverage of natural framework terms (PyTorch Lightning, LightningModules, Trainers, W&B, TensorBoard, DDP, FSDP, DeepSpeed) with synonyms/acronyms, though a few common natural variations are not present.

4 / 5

Distinctiveness Conflict Risk

Occupies a clear niche (PyTorch Lightning) with framework-specific triggers (LightningModule, DataModule, DDP/FSDP/DeepSpeed) giving minimal conflict risk with other skills.

5 / 5

Total

17

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

foryourhealth111-pixel/Vibe-Skills

Path

bundled/skills/pytorch-lightning/SKILL.md

Reviewed

Table of Contents

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