domino-flows

Orchestrate multi-step ML workflows using Domino Flows (built on Flyte). Define DAGs with typed inputs/outputs, heterogeneous environments, automatic lineage, and reproducibility. Use when building data pipelines, multi-stage training workflows, or processes requiring orchestration and monitoring.

Quality

81%

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Securityby

Passed

No findings from the security scan

Quality

Content

71%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 and actionable with strong executable examples, but it is held back by broken reference links (FLOW-BASICS.md and EXAMPLES.md are absent) and the absence of an explicit validation/retry loop for remote batch runs.

Suggestions

Add the missing referenced files FLOW-BASICS.md and EXAMPLES.md (or remove the links) so progressive-disclosure navigation actually resolves.

Add an explicit validation/verification step and a retry loop after triggering a remote flow (e.g., check execution status and re-run on failure) to satisfy the batch-operation feedback-loop expectation.

Trim the restated 'What are Domino Flows?' bullet list and the opening 'comprehensive knowledge' sentence to tighten token efficiency.

Dimension	Reasoning	Score
Conciseness	Mostly efficient and assumes Claude's competence, with executable code dominating; minor padding such as the 'This skill provides comprehensive knowledge...' opener and the 'What are Domino Flows?' bullets that restate the description.	4 / 5
Actionability	Provides concrete, executable guidance (DominoJobTask definition, stage script pattern, pyflyte --remote command) covering common cases; minor gaps such as the elided train-stage body keep it just below fully copy-paste complete.	4 / 5
Workflow Clarity	Clear sequence (define tasks -> workflow -> commit/push -> pyflyte run --remote) with the 'Always commit and push first' critical warning acting as a checkpoint; lacks an explicit validate/retry feedback loop for these remote batch operations, so it falls short of a 5.	4 / 5
Progressive Disclosure	Structure is reasonable and references are clearly signaled one level deep ('[FLOW-BASICS.md](./FLOW-BASICS.md)', '[EXAMPLES.md](./EXAMPLES.md)'), but those referenced files do not exist in the bundle, so navigation is broken.	3 / 5
	Total	15 / 20 Passed

Description

92%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.

A strong, specific description that clearly states capabilities and provides explicit trigger guidance in third person. Only minor room to broaden trigger-term synonyms.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions ('Define DAGs with typed inputs/outputs, heterogeneous environments, automatic lineage, and reproducibility') with comprehensive coverage of capabilities.	5 / 5
Completeness	Explicitly answers both 'what' ('Orchestrate multi-step ML workflows...Define DAGs...') and 'when' with a concrete 'Use when building data pipelines, multi-stage training workflows, or processes requiring orchestration and monitoring' clause.	5 / 5
Trigger Term Quality	Natural triggers present ('data pipelines, multi-stage training workflows, orchestration and monitoring') but lacks synonym breadth and file/format terms; good coverage with a few natural terms missing.	4 / 5
Distinctiveness Conflict Risk	Clear niche (Domino Flows / Flyte ML orchestration) with distinct, specific triggers; minimal overlap risk with other skills.	5 / 5
	Total	19 / 20 Passed

Validation

93%

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 — 15 / 16 Passed

Validation for skill structure

Criteria	Description	Result
relative_links	Relative link issues: 2 missing	Warning

	Total	15 / 16 Passed

Repository: dominodatalab/domino-claude-plugin
Path: skills/flows/SKILL.md
Commit: d86698d

Reviewed: 15 hours ago

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