image-enhancer
by ComposioHQUse image-enhancer to guide AI image cleanup for screenshots, low-resolution graphics, and presentation assets. Covers upscaling, sharpening, artifact reduction, web optimization, and practical prompts; the skill is a lightweight SKILL.md instruction layer with no bundled scripts.
This skill scores 63/100, which means it is acceptable but limited for directory users. It is triggerable and understandable as an image-quality improvement skill, but the repository evidence is mostly prompt-level guidance with no scripts, tool references, or concrete execution details, so users should install it only if their agent environment already has suitable image-processing capabilities.
- Clear frontmatter description and use-case list make it easy for an agent to trigger on screenshot cleanup, upscaling, sharpening, and social/documentation image preparation requests.
- Includes example user prompts for basic enhancement, specific improvements, and batch processing, which helps users understand intended invocation patterns.
- The workflow framing covers analysis, resolution enhancement, sharpening, artifact reduction, and use-case optimization, giving a lightweight structure beyond a bare generic prompt.
- No support scripts, references, or implementation files are provided, so actual enhancement depends on whatever image-processing tools the agent already has available.
- Operational guidance appears high-level; the skill names outcomes like upscaling, sharpening, and artifact reduction but does not specify concrete commands, libraries, parameters, or quality checks.
Overview of image-enhancer skill
What image-enhancer does
image-enhancer is a focused Image Editing skill for improving screenshots, low-resolution images, compressed graphics, and presentation assets. It is designed to help an AI agent inspect an image, decide what kind of enhancement is appropriate, and produce a clearer result through actions such as upscaling, sharpening, artifact reduction, and output optimization for a target use case.
Best-fit users and jobs
The image-enhancer skill is most useful for documentation writers, product marketers, educators, support teams, and developers who need cleaner visual assets without building a full image-processing workflow. It fits jobs like improving UI screenshots for a README, preparing slides, cleaning up social media images, or batch-enhancing PNG files before publishing.
What makes this skill practical
The upstream skill is intentionally simple: one SKILL.md file with direct usage patterns and no extra scripts or dependencies. That makes it easy to inspect and adopt, but it also means results depend heavily on the host agent’s available image tools. Treat image-enhancer as an instruction layer that helps the assistant choose enhancement goals, not as a standalone image-processing library.
When it may not be enough
Do not expect this skill to recover unreadable text, invent missing details, or replace professional retouching. It is best for improving already usable images. For print-critical photography, legal evidence, medical imagery, or brand-controlled creative work, use dedicated editing software and human review.
How to Use image-enhancer skill
image-enhancer install and first inspection
Install from the skill collection with:
npx skills add ComposioHQ/awesome-claude-skills --skill image-enhancer
Then review the installed SKILL.md first. This repository path contains only the skill file, so there are no helper scripts, resources, or reference folders to configure. That keeps image-enhancer install lightweight, but you should confirm your AI environment can access the target image files and has image editing or generation capabilities enabled.
Inputs the skill needs
For reliable image-enhancer usage, provide the file path, image purpose, desired output size, and what looks wrong. A vague prompt like “make this better” gives the agent little basis for tradeoffs. A stronger prompt is:
Use image-enhancer on docs/login-flow.png. It is a UI screenshot for a developer guide. Keep text readable, preserve the original layout, reduce compression artifacts, sharpen edges lightly, and export a web-optimized PNG under 1 MB.
This tells the agent what to protect, what to improve, and what output constraint matters.
Turning a rough goal into a complete prompt
Use this structure when asking for enhancement:
Enhance [file or folder] for [destination]. Prioritize [clarity/sharpness/upscale/artifact cleanup]. Preserve [text, colors, layout, aspect ratio]. Output as [format/size/resolution].
Examples:
Upscale product-demo.jpg to 3840px wide for a slide deck, but avoid over-sharpened edges.Improve all PNG screenshots in ./assets for documentation; keep filenames, optimize for web, and report any images that are too blurry to fix cleanly.Sharpen dashboard-screenshot.png for a blog post while preserving small UI labels and the original color palette.
Suggested workflow and quality checks
Start with one representative image before batch processing. Ask the agent to report current specs such as resolution, file type, visible blur, compression artifacts, and likely enhancement risks. After the first output, compare text readability, edge halos, color shifts, file size, and whether the image still looks natural. For batches, request a short summary per file so you can catch failures instead of silently overwriting assets.
image-enhancer skill FAQ
Is image-enhancer better than an ordinary prompt?
Yes, when your task is specifically image cleanup or preparation. A generic prompt may ask for “better quality,” while the image-enhancer skill frames the work around resolution, sharpness, artifacts, and intended use. That structure reduces guesswork and helps the agent choose safer edits, especially for screenshots where readable text matters.
Does image-enhancer include its own editing scripts?
No. The repository evidence shows a single SKILL.md and no bundled scripts, references, assets, or metadata files. The skill provides task instructions and examples, not a command-line enhancer. Actual execution depends on the tools available in your AI client or surrounding workflow.
Is this suitable for beginners?
Yes, if you can provide file paths and describe the destination of the image. Beginners should start with simple prompts such as Improve the image quality of screenshot.png for a documentation page and then add constraints after reviewing the result. The skill is easy to read because the source is short and does not require configuration.
When should I not use image-enhancer?
Avoid it when authenticity matters more than aesthetics, such as evidence photos, compliance records, diagnostic images, or screenshots that must remain pixel-identical. Also avoid using it to “fix” images where key information is missing or illegible; enhancement can improve presentation, but it cannot reliably reconstruct absent detail.
How to Improve image-enhancer skill
Improve image-enhancer results with stronger constraints
The biggest quality gains come from specifying what must not change. For screenshots, say “preserve text, UI spacing, and aspect ratio.” For social media, define crop ratio and platform target. For print, specify DPI or physical dimensions. These constraints prevent over-aggressive sharpening, unwanted resizing, or color changes that make the image less useful.
Common failure modes to watch for
Check for sharpened noise, halos around text, warped UI elements, color shifts, and oversized files. Upscaling can make an image larger without making it more informative. Artifact reduction can also soften important details. If the first pass looks artificial, ask for a gentler version that prioritizes readability and natural edges over dramatic enhancement.
Iterate after the first output
A good second prompt is specific about the defect you see:
The enhanced version is clearer, but the small sidebar labels have halos. Re-run with lighter sharpening, keep the same resolution, and prioritize text readability over edge contrast.
For batch work, separate images by type: screenshots, photos, diagrams, and compressed web images often need different enhancement settings. Do not apply one aggressive treatment to every file.
Extend the skill for your own workflow
If you use image-enhancer often, add local conventions around output folders, naming, max file size, preferred formats, and review steps. For example, require outputs in ./enhanced/, keep originals untouched, and generate a comparison note for each image. These small additions turn the image-enhancer skill from a simple prompt helper into a repeatable publishing workflow.