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Image Enhancer

Checked
davepoon·vlatest·video-media·MIT

Enhance blurry or low-resolution images to higher quality using davepoon's specialized AI image upscaling techniques.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add davepoon/buildwithclaude --skill image-enhancer -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

davepoon

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned davepoon/buildwithclaude at fc03a95b41.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
fc03a95b41
Manifest
plugins/all-skills/skills/image-enhancer/SKILL.md
Scanned
1 file, 87 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

The image-enhancer skill processes visual inputs to improve clarity and detail, leveraging advanced models to refine low-quality or noisy images. It operates within the BuildWithClaude environment to deliver optimized results directly to AI agents.

When to use it

  • Restore legibility in blurry or pixelated photographs before analysis.
  • Clean up noisy backgrounds to isolate specific subjects for better recognition.
  • Enhance contrast and sharpness in scanned documents or handwritten notes.
  • Prepare low-resolution assets for downstream computer vision tasks.

Key capabilities

  • Automatic noise reduction and artifact removal.
  • Adaptive sharpening algorithms tailored to image content.
  • Contrast adjustment for improved visibility of details.
  • Seamless integration with BuildWithClaude workflows.

Example prompts

  • "Enhance this blurry photo of a landscape to make the details clearer."
  • "Improve the quality of this scanned document so the text is easier to read."
  • "Reduce noise in this low-light image and increase its sharpness."

Tips & gotchas

Ensure input images are in a supported format compatible with the BuildWithClaude environment. While the tool significantly improves clarity, it cannot reconstruct information that was never captured in the original source file.