openai-image-gen
Batch-generate images via OpenAI Images API. Random prompt sampler + `index.html` gallery.
Install with Tessl CLI
npx tessl i github:Hung-Reo/hungreo-openclaw --skill openai-image-gen70
Does it follow best practices?
If you maintain this skill, you can automatically optimize it using the tessl CLI to improve its score:
npx tessl skill review --optimize ./path/to/skillValidation for skill structure
Discovery
32%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 provides a reasonable overview of capabilities but suffers from missing explicit trigger guidance, which is critical for skill selection. It uses appropriate third-person voice and mentions specific technical components, but lacks the 'Use when...' clause and natural user keywords that would help Claude reliably choose this skill.
Suggestions
Add a 'Use when...' clause with explicit triggers like 'Use when the user wants to generate multiple AI images, create image galleries, or mentions DALL-E, OpenAI images, or batch image generation'
Include common user terms like 'DALL-E', 'AI art', 'generate pictures', 'image batch', or 'AI image generation' to improve trigger term coverage
Expand the capability list to include specific actions like 'configure image parameters', 'customize prompts', or 'save generated images'
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (OpenAI Images API) and mentions specific outputs (random prompt sampler, index.html gallery), but doesn't comprehensively list all actions like configuring parameters, saving images, or customizing prompts. | 2 / 3 |
Completeness | Describes what it does (batch-generate images, create gallery) but completely lacks a 'Use when...' clause or any explicit trigger guidance for when Claude should select this skill. | 1 / 3 |
Trigger Term Quality | Includes some relevant terms like 'batch-generate images', 'OpenAI Images API', and 'gallery', but misses common variations users might say like 'DALL-E', 'AI images', 'image generation', or 'create pictures'. | 2 / 3 |
Distinctiveness Conflict Risk | The OpenAI Images API reference and gallery output provide some distinction, but 'batch-generate images' could overlap with other image generation skills; lacks explicit triggers to differentiate from general image tools. | 2 / 3 |
Total | 7 / 12 Passed |
Implementation
87%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a well-crafted skill that efficiently documents a batch image generation tool. It excels at providing concrete, executable examples across multiple models with clear parameter documentation. The main weakness is the lack of any error handling or validation guidance for API operations that could fail.
Suggestions
Add a brief troubleshooting section covering common API errors (rate limits, invalid API key, unsupported parameter combinations)
Include a note about checking output/verifying generated images, especially for batch operations
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Content is lean and efficient - no unnecessary explanations of what image generation is or how APIs work. Every section provides actionable information without padding. | 3 / 3 |
Actionability | Provides fully executable bash commands with multiple real-world examples covering different models and options. Commands are copy-paste ready with clear flag demonstrations. | 3 / 3 |
Workflow Clarity | This is a simple single-command skill, but the workflow is just 'run script, open output'. No validation steps or error handling guidance for API failures, rate limits, or invalid parameters. | 2 / 3 |
Progressive Disclosure | Well-organized with clear sections (Run, Model-Specific Parameters, Output). Content is appropriately sized for a single file - no need for external references. Easy to scan and find relevant information. | 3 / 3 |
Total | 11 / 12 Passed |
Validation
72%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 | |
- Reviewed
Table of Contents
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