image-enhancer
Improves the quality of images, especially screenshots, by enhancing resolution, sharpness, and clarity. Perfect for preparing images for presentations, documentation, or social media posts.
56
Quality
36%
Does it follow best practices?
Impact
88%
1.22xAverage score across 3 eval scenarios
Optimize this skill with Tessl
npx tessl skill review --optimize ./.trae/skills/image-enhancer/SKILL.mdDiscovery
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 adequately conveys the skill's purpose around image quality enhancement but lacks explicit trigger guidance and comprehensive action specificity. It would benefit from a 'Use when...' clause and more natural user-facing keywords to help Claude select it appropriately from a large skill set.
Suggestions
Add an explicit 'Use when...' clause with trigger terms like 'blurry image', 'low resolution', 'upscale', 'sharpen', or 'enhance quality'
Include more specific actions such as 'upscale low-resolution images', 'reduce noise', or 'remove compression artifacts'
Add natural file format triggers users might mention like '.png', '.jpg', 'screenshot quality', or 'pixelated'
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (image quality) and some actions ('enhancing resolution, sharpness, and clarity'), but lacks comprehensive specific actions like upscaling, denoising, or artifact removal. | 2 / 3 |
Completeness | Describes what it does (improves image quality) and mentions use cases ('presentations, documentation, social media'), but lacks an explicit 'Use when...' clause with trigger guidance. | 2 / 3 |
Trigger Term Quality | Includes some relevant terms ('screenshots', 'images', 'presentations', 'documentation') but misses common variations users might say like 'blurry', 'low-res', 'upscale', 'sharpen image', or 'enhance photo'. | 2 / 3 |
Distinctiveness Conflict Risk | Somewhat specific to image enhancement but could overlap with general image editing or processing skills; 'screenshots' adds some distinctiveness but the scope remains broad. | 2 / 3 |
Total | 8 / 12 Passed |
Implementation
22%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill describes what image enhancement should accomplish but provides no actual implementation guidance. It reads more like a feature description or marketing copy than an actionable skill. Claude would not know which libraries to use (PIL, OpenCV, waifu2x, etc.), what specific code to run, or how to actually perform any of the described enhancements.
Suggestions
Add executable Python code using specific libraries (e.g., PIL/Pillow, OpenCV, or Real-ESRGAN) showing how to actually perform upscaling, sharpening, and artifact reduction
Replace the abstract 'What This Skill Does' section with concrete implementation steps including specific function calls and parameters
Include validation steps to check image quality before/after enhancement and handle common errors (file not found, unsupported format, memory issues)
Remove redundant sections (When to Use, Common Use Cases) and replace with technical details about tool installation and configuration
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill contains some unnecessary padding like the 'When to Use This Skill' list which largely duplicates the description, and the 'Common Use Cases' section at the end repeats similar information. The 'What This Skill Does' section explains obvious concepts rather than providing actionable guidance. | 2 / 3 |
Actionability | The skill provides no executable code, no specific tools or libraries, and no actual implementation details. The 'How to Use' section shows natural language prompts rather than concrete commands or code. Claude cannot execute 'Improve the image quality of screenshot.png' without knowing what tools/libraries to use. | 1 / 3 |
Workflow Clarity | The 'What This Skill Does' section lists abstract steps without any concrete implementation. There are no validation checkpoints, no error handling, and no actual workflow for how to perform image enhancement. The example output is fabricated rather than showing real tool usage. | 1 / 3 |
Progressive Disclosure | The content is reasonably organized with clear sections, but it's somewhat monolithic with no references to external files for detailed implementation. The structure is logical but the content itself lacks depth that would warrant splitting into separate files. | 2 / 3 |
Total | 6 / 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 |
|---|---|---|
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 10 / 11 Passed | |
- Reviewed
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