image-generation
Implement AI image generation capabilities using the z-ai-web-dev-sdk. Use this skill when the user needs to create images from text descriptions, generate visual content, create artwork, design assets, or build applications with AI-powered image creation. Supports multiple image sizes and returns base64 encoded images. Also includes CLI tool for quick image generation.
55
62%
Does it follow best practices?
Impact
—
No eval scenarios have been run
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./skills/image-generation/SKILL.mdQuality
Discovery
82%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is a reasonably well-constructed description that clearly states both what the skill does and when to use it, with good trigger term coverage. Its main weaknesses are that the specific capabilities listed are somewhat redundant variations of 'generate images' rather than truly distinct actions, and the broad trigger terms could overlap with other visual/design skills. The mention of the specific SDK (z-ai-web-dev-sdk) helps with distinctiveness but the general terms could still cause conflicts.
Suggestions
Differentiate the specific capabilities more clearly - instead of listing synonyms for image generation, specify distinct features like supported models, image editing vs creation, batch generation, or specific output formats.
Add more distinctive trigger terms tied to the specific SDK or unique capabilities to reduce overlap with other image/design skills (e.g., mention specific API patterns or unique features of z-ai-web-dev-sdk).
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (AI image generation) and some actions (create images from text descriptions, generate visual content), but the actions listed are somewhat redundant and don't enumerate truly distinct concrete capabilities beyond 'generate images'. Mentions base64 encoding and CLI tool which add some specificity. | 2 / 3 |
Completeness | Clearly answers both what ('Implement AI image generation capabilities using the z-ai-web-dev-sdk, supports multiple image sizes, returns base64 encoded images, includes CLI tool') and when ('Use this skill when the user needs to create images from text descriptions, generate visual content, create artwork, design assets, or build applications with AI-powered image creation'). | 3 / 3 |
Trigger Term Quality | Good coverage of natural terms users would say: 'image generation', 'text descriptions', 'visual content', 'artwork', 'design assets', 'AI-powered image creation'. These are terms users would naturally use when requesting image generation capabilities. | 3 / 3 |
Distinctiveness Conflict Risk | While it specifies the z-ai-web-dev-sdk which adds some distinctiveness, terms like 'generate visual content', 'create artwork', and 'design assets' could overlap with other image/design-related skills. The SDK name helps but the broad trigger terms could cause conflicts. | 2 / 3 |
Total | 10 / 12 Passed |
Implementation
42%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The skill provides highly actionable, executable code examples covering basic usage, CLI, batch processing, caching service, and Express.js integration. However, it is severely bloated — supported sizes are repeated three times, trivial helper functions pad the content, and sections like 'Common Use Cases' and 'Prompt Engineering Tips' explain things Claude already knows. The entire document should be split into a concise overview with references to separate files for advanced patterns.
Suggestions
Reduce to ~100 lines by removing duplicate size listings (keep one canonical list), eliminating the 'Common Use Cases' bullet list, and cutting the prompt engineering tips section.
Split advanced content (ImageGenerationService class, Express.js integration, batch generation) into separate referenced files like ADVANCED.md or INTEGRATIONS.md.
Remove trivial helper functions like `buildEffectivePrompt` and `selectOptimalSize` that Claude can easily construct on its own.
Add a validation step after batch image generation (e.g., verify file exists and has non-zero size) to strengthen the workflow for destructive/batch operations.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Extremely verbose at ~400+ lines. Supported sizes are listed three separate times. The 'Common Use Cases' section is a bullet list of obvious applications Claude already knows. Helper functions like `buildEffectivePrompt` and `selectOptimalSize` are trivial. The 'Remember' section repeats points already made. Prompt engineering tips explain basic concepts Claude doesn't need. | 1 / 3 |
Actionability | All code examples are fully executable with correct imports, complete function bodies, and clear usage examples. CLI commands are copy-paste ready. The Express.js integration, batch generation, and service class are all concrete and runnable. | 3 / 3 |
Workflow Clarity | The batch image generation includes try/catch error handling per item, and the retry logic with exponential backoff is good. However, there's no explicit validation workflow — no step to verify generated images are valid PNGs, no checksums, and no clear sequential workflow with validation checkpoints for the batch operations. | 2 / 3 |
Progressive Disclosure | Everything is crammed into a single monolithic file with no references to external files for advanced content. The ImageGenerationService class, Express.js integration, and batch processing could all be in separate referenced files. The reference to `{Skill Location}/scripts/` is mentioned but no bundle files exist to support it. | 1 / 3 |
Total | 7 / 12 Passed |
Validation
90%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 10 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
skill_md_line_count | SKILL.md is long (584 lines); consider splitting into references/ and linking | Warning |
Total | 10 / 11 Passed | |
- Repository
- jjyaoao/HelloAgents
- Commit
52b2597
- Reviewed
Table of Contents
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.