openai-image-gen

Batch-generate images via OpenAI Images API. Random prompt sampler + `index.html` gallery.

Quality

63%

Does it follow best practices?

Impact

Pending

No eval scenarios have been run

Securityby

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./skills/openai-image-gen/SKILL.md

Quality

Discovery

50%

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 concise and identifies a clear, distinctive niche (batch image generation via OpenAI API with gallery output). However, it completely lacks a 'Use when...' clause, which is critical for Claude to know when to select this skill. The trigger terms are somewhat technical and miss common user phrasings like 'DALL-E' or 'create images'.

Suggestions

Add a 'Use when...' clause, e.g., 'Use when the user wants to generate multiple images in batch, create an image gallery, or work with the OpenAI Images API.'

Include more natural trigger terms users would say, such as 'DALL-E', 'generate images', 'create pictures', 'AI image generation', or 'image gallery'.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions: batch-generate images, random prompt sampling, and creating an index.html gallery. These are specific, actionable capabilities.	3 / 3
Completeness	Describes what it does (batch-generate images, prompt sampling, gallery creation) but completely lacks a 'Use when...' clause or any explicit trigger guidance for when Claude should select this skill. Per rubric guidelines, missing 'Use when' caps completeness at 2, and the 'when' is entirely absent, warranting a 1.	1 / 3
Trigger Term Quality	Includes some relevant keywords like 'images', 'OpenAI Images API', 'gallery', and 'batch-generate', but misses common user terms like 'DALL-E', 'image generation', 'create images', or 'generate pictures'. Users may not naturally say 'batch-generate' or 'prompt sampler'.	2 / 3
Distinctiveness Conflict Risk	Highly distinctive with a clear niche: batch image generation via OpenAI Images API with a specific gallery output format. Unlikely to conflict with other skills due to the specific combination of OpenAI API, batch generation, and HTML gallery.	3 / 3
	Total	9 / 12 Passed

Implementation

77%

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

A solid, actionable skill with excellent executable examples covering multiple models and flag combinations. The main weakness is the verbose model-specific parameters section which reads like API reference documentation that could be offloaded to a separate file or the script's help text, reducing token cost while preserving the useful quick-start examples.

Suggestions

Move the detailed model-specific parameters (size, quality, style tables) to a separate REFERENCE.md or rely on the script's --help output, keeping only a brief summary in SKILL.md.

Trim the 'Other Notable Differences' section to just the critical gotchas (e.g., dall-e-3 n=1 limit) since Claude can discover other parameters from the script.

Dimension	Reasoning	Score
Conciseness	The model-specific parameters section is quite detailed and reference-like, which could be in a separate file or the script's --help output. The run examples are useful but the parameter tables add bulk that Claude could discover from the script itself.	2 / 3
Actionability	Provides fully executable commands with concrete flags and examples. The run commands are copy-paste ready with realistic flag combinations covering all three models.	3 / 3
Workflow Clarity	This is a simple single-task skill (run a script, view output). The workflow is clear: run the command, open the gallery. No destructive or batch operations requiring validation checkpoints beyond what the script handles internally.	3 / 3
Progressive Disclosure	The model-specific parameters section is extensive inline content that could be better placed in a separate reference file or left to --help. The skill would benefit from a leaner overview with a pointer to detailed parameter docs.	2 / 3
	Total	10 / 12 Passed

Validation

72%

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 — 8 / 11 Passed

Validation for skill structure

Criteria	Description	Result
metadata_version	'metadata.version' is missing	Warning
metadata_field	'metadata' should map string keys to string values	Warning
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	8 / 11 Passed

Repository: deepgram/dglabs-deepclaw
Commit: ec8d4f8

Reviewed: about 8 hours ago

Table of Contents

Discovery Implementation Validation

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.