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roboflow-batch-processing

Use when running a Roboflow Workflow over many images or videos with batch processing — Asset Library jobs (the platform stages workspace images for you) or staged jobs (you stage external local/cloud files with the inference-cli), plus monitoring jobs, downloading results, and routing imports to datasources (bucket mirror) instead.

70

Quality

88%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

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.

A thorough, actionable skill body with strong executable guidance and clear validation checkpoints for a batch operation. Its main weakness is progressive disclosure: the dense command and parameter reference is inlined rather than offloaded to reference files.

Suggestions

Move the full CLI flag reference (section 3's shared optional flags and per-content-type flags) and the staging command catalogue (section 2) into a references/ file, keeping SKILL.md as a routed overview.

Add a short upfront numbered checklist (stage → wait for ingest → start → monitor to terminal → export) so the end-to-end sequence is visible before the detailed sections.

Tighten the 'Which path? Three questions' and ETL/ELT paragraphs; the pipeline analogy repeats information already conveyed by the two-path distinction.

DimensionReasoningScore

Conciseness

Mostly efficient and focused on platform-specific behavior Claude would not know, though the ETL/ELT analogies and some prose in the decision section could be trimmed.

4 / 5

Actionability

Provides concrete, copy-paste-ready CLI commands and MCP tool calls with full parameter examples covering the common image and video cases.

5 / 5

Workflow Clarity

Clear numbered sequence with explicit validation checkpoints ('Do not start a job while pending is true or failed is true', poll until terminal) and feedback loops (failed → logs + restart), so the batch-operation cap is not triggered.

4 / 5

Progressive Disclosure

Sections are well organized, but no bundle files exist and the detailed command/parameter reference is inlined in SKILL.md rather than split into separate reference files.

3 / 5

Total

16

/

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 a concrete trigger condition. It distinguishes the two job paths and ancillary tasks without fluff.

DimensionReasoningScore

Specificity

Names the domain and multiple concrete actions — 'Asset Library jobs', 'staged jobs', 'monitoring jobs', 'downloading results', 'routing imports to datasources (bucket mirror)' — with comprehensive coverage.

5 / 5

Completeness

Explicitly answers both what (the job types plus monitoring, downloading, and import routing) and when ('Use when running a Roboflow Workflow over many images or videos with batch processing').

5 / 5

Trigger Term Quality

Natural phrases like 'batch processing', 'many images or videos', 'monitoring jobs', and 'downloading results' are present, but a few common synonyms or surface variations are missing.

4 / 5

Distinctiveness Conflict Risk

Scoped to a clear Roboflow batch-processing niche with distinct triggers, making overlap with unrelated skills unlikely.

5 / 5

Total

19

/

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
roboflow/computer-vision-skills
Reviewed

Table of Contents

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