domino-datasets

Work with Domino Datasets - high-performance, versioned filesystem storage. Covers dataset creation, snapshots for versioning, sharing across projects, mounting paths (/domino/datasets/), and performance optimization. Use when managing data storage, creating reproducible data versions, or sharing data between projects.

Quality

—

Does it follow best practices?

Impact

—

No eval scenarios have been run

Securityby

Passed

No known issues

Quality

Content

65%

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

A thorough, actionable reference for Domino Datasets with strong executable examples, but it is verbose in places and monolithic with no progressive disclosure into separate files. Workflow steps would benefit from explicit validation checkpoints.

Suggestions

Trim conceptual padding: drop or drastically shorten the "What is a Domino Dataset?" and "What is a Snapshot?" explanations, which restate concepts Claude already knows.

Add explicit validation/verification checkpoints to batch and destructive workflows — e.g., after `datasets_snapshot`, verify the snapshot exists and confirm the tag before moving on.

Split the long path-tree references, troubleshooting, and best-practices material into one-level-deep reference files (e.g., PATHS.md, TROUBLESHOOTING.md) and link them from a leaner overview.

Dimension	Reasoning	Score
Conciseness	The body is mostly useful but padded: conceptual sections ("What is a Domino Dataset?", "What is a Snapshot?") explain notions Claude already knows, and each project type shows both a large ASCII directory tree and a redundant summary path table.	2 / 3
Actionability	Provides abundant concrete, executable guidance — Python SDK calls, pandas read examples, CLI upload commands, and an os.path.exists project-type detection snippet — that is copy-paste ready.	3 / 3
Workflow Clarity	Numbered UI steps and the project-type detection checkpoint give a clear sequence, but snapshot creation and bulk upload workflows lack explicit validation/verification steps, capping this dimension at 2 per the batch/destructive-operations rule.	2 / 3
Progressive Disclosure	No bundle files exist and the ~390-line body is a monolithic single file with clear headers, but content that could be split out (detailed path trees, troubleshooting, best practices) is inline rather than in one-level-deep references.	2 / 3
	Total	9 / 12 Passed

Description

100%

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

A strong, third-person description that clearly states capabilities and provides an explicit "Use when" trigger clause with natural terms. It is distinctive to the Domino platform and free of vague fluff.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions — "dataset creation, snapshots for versioning, sharing across projects, mounting paths (/domino/datasets/), and performance optimization" — rather than vague language, matching the score-3 anchor.	3 / 3
Completeness	Explicitly answers what ("Work with Domino Datasets - high-performance, versioned filesystem storage") and when ("Use when managing data storage, creating reproducible data versions, or sharing data between projects"), with an explicit trigger clause.	3 / 3
Trigger Term Quality	The "Use when managing data storage, creating reproducible data versions, or sharing data between projects" clause supplies natural terms a user would actually say, with good coverage of common variations.	3 / 3
Distinctiveness Conflict Risk	The Domino-Datasets-specific niche, including the platform-specific /domino/datasets/ mount path, makes it clearly distinguishable and unlikely to trigger for the wrong skill.	3 / 3
	Total	12 / 12 Passed

Validation

100%

Warnings & errors only

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: dominodatalab/domino-claude-plugin
Commit: 64f4433

Reviewed: 1 day ago

Table of Contents

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