Check image DPI and intelligently upscale low-resolution images using super-resolution
71
Quality
57%
Does it follow best practices?
Impact
95%
2.20xAverage score across 3 eval scenarios
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./scientific-skills/Data analysis/dpi-upscaler-checker/SKILL.mdQuality
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 clearly articulates specific technical capabilities (DPI checking and super-resolution upscaling) and occupies a distinct niche. However, it critically lacks explicit trigger guidance ('Use when...') which would help Claude know when to select this skill, and could benefit from more natural user-facing keywords like 'enhance' or 'blurry'.
Suggestions
Add a 'Use when...' clause with explicit triggers, e.g., 'Use when the user wants to check image resolution, upscale images, or mentions DPI, blurry images, or low quality photos.'
Include natural user terms like 'enhance', 'enlarge', 'blurry', 'pixelated', 'image quality', 'make bigger', or common file extensions (.jpg, .png, .webp).
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists specific concrete actions: 'Check image DPI' and 'intelligently upscale low-resolution images using super-resolution'. These are clear, actionable capabilities. | 3 / 3 |
Completeness | Describes what the skill does 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 relevant terms like 'DPI', 'upscale', 'low-resolution', 'super-resolution', and 'images', but missing common user variations like 'enhance', 'enlarge', 'blurry', 'pixelated', 'image quality', or file extensions like '.jpg', '.png'. | 2 / 3 |
Distinctiveness Conflict Risk | Clear niche focused on DPI checking and super-resolution upscaling - distinct from general image editing or other image processing skills. The combination of DPI + upscaling creates a specific use case. | 3 / 3 |
Total | 9 / 12 Passed |
Implementation
64%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill provides good actionable commands with clear parameter documentation and output schemas. However, it's bloated with boilerplate sections (security checklists, lifecycle status, evaluation criteria) that don't help Claude execute the task. The workflow could be improved with explicit check-then-fix sequences and validation steps.
Suggestions
Remove boilerplate sections (Security Checklist, Evaluation Criteria, Lifecycle Status, Risk Assessment) that don't provide actionable guidance for using the tool
Add an explicit workflow showing the common pattern: check DPI → review report → upscale images below threshold → verify results meet 300 DPI
Consolidate Features and Use Cases into the introduction or remove them - Claude doesn't need marketing copy
Add a validation step after upscaling to confirm the output meets the target DPI requirement
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill includes some unnecessary sections like 'Features', 'Use Cases', 'Evaluation Criteria', 'Lifecycle Status', and 'Security Checklist' that add bulk without providing actionable guidance. The core usage examples are reasonably concise, but the document could be significantly tightened. | 2 / 3 |
Actionability | Provides fully executable bash commands with clear parameter tables. The usage examples are copy-paste ready with concrete input/output paths and flags. The JSON output schema is explicit and helpful. | 3 / 3 |
Workflow Clarity | Commands are listed but there's no explicit workflow for common multi-step scenarios (e.g., check DPI → identify failures → upscale only those). Missing validation checkpoints - no guidance on verifying upscaled images meet the target DPI or handling failures. | 2 / 3 |
Progressive Disclosure | Content is reasonably organized with clear sections, but everything is in one monolithic file. The parameter tables and algorithm descriptions could be split into separate reference files. No external file references for advanced topics. | 2 / 3 |
Total | 9 / 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 | |
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Table of Contents
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