image-enhancer

image-enhancer is a skill for Claude Code, Codex from CommandCodeAI/agent-skills. It costs 38 tokens per session (578 once invoked), scanned A, a copy of image-enhancer, MIT.

An image-improvement workflow for making screenshots and other pictures sharper, clearer, and larger when needed.

In plain words
What is it for?
It is for improving screenshots for documentation, preparing images for presentations or social media, enlarging small images, sharpening blurry photos, and cleaning compressed files.
Why use it?
It helps fix low resolution, blur, noise, and compression damage before an image is reused or shared.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It is for improving screenshots for documentation, preparing images for presentations or social media, enlarging small images, sharpening blurry photos, and cleaning compressed files.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/commandcodeai/agent-skills/image-enhancer
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add CommandCodeAI/agent-skills --skill image-enhancer
Clone the repo
git clone --depth 1 https://github.com/CommandCodeAI/agent-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for image-enhancer

README.md
[![agentmods](https://agentmods.dev/badge/skills/commandcodeai/agent-skills/image-enhancer/github.svg)](https://agentmods.dev/skills/commandcodeai/agent-skills/image-enhancer)
Your own site
<a href="https://agentmods.dev/skills/commandcodeai/agent-skills/image-enhancer"><img src="https://agentmods.dev/badge/skills/commandcodeai/agent-skills/image-enhancer/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for image-enhancer

Your own site · 80×15
<a href="https://agentmods.dev/skills/commandcodeai/agent-skills/image-enhancer"><img src="https://agentmods.dev/badge/skills/commandcodeai/agent-skills/image-enhancer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 578 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 89% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00038 $0.00578
Opus 5.5 $0.00015 $0.00231
Sonnet 5.5 $0.00008 $0.00116
Haiku 4.5 $0.00004 $0.00058

Measured 1mo ago against content hash 57b003b9cd0c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

image-enhancer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

89% identical to image-enhancer — 13 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/image-enhancer/SKILL.md · 100 lines

How it starts

The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Image Enhancer

This skill takes your images and screenshots and makes them look better—sharper, clearer, and more professional.

When to Use This Skill

  • Improving screenshot quality for blog posts or documentation
  • Enhancing images before sharing on social media
  • Preparing images for presentations or reports
  • Upscaling low-resolution images
  • Sharpening blurry photos
  • Cleaning up compressed images

What This Skill Does

  1. Analyzes Image Quality: Checks resolution, sharpness, and compression artifacts
  2. Enhances Resolution: Upscales images intelligently
  3. Improves Sharpness: Enhances edges and details
  4. Reduces Artifacts: Cleans up compression artifacts and noise
  5. Optimizes for Use Case: Adjusts based on intended use (web, print, social media)

How to Use

Basic Enhancement

Improve the image quality of screenshot.png
Enhance all images in this folder

Specific Improvements

Upscale this image to 4K resolution
Sharpen this blurry screenshot
Reduce compression artifacts in this image

Batch Processing

Improve the quality of all PNG files in this directory

Example

User: "Improve the image quality of screenshot-2024.png"

Output:

Analyzing screenshot-2024.png...

Current specs:
- Resolution: 1920x1080
- Format: PNG
- Quality: Good, but slight blur

Enhancements applied:
✓ Upscaled to 2560x1440 (retina)
✓ Sharpened edges
✓ Enhanced text clarity
✓ Optimized file size

Saved as: screenshot-2024-enhanced.png
Original preserved as: screenshot-2024-original.png

Inspired by: Lenny Rachitsky's workflow from his newsletter - used for screenshots in his articles

Tips

  • Always keeps original files as backup
  • Works best with screenshots and digital images
  • Can batch process entire folders
  • Specify output format if needed (PNG for quality, JPG for smaller size)
  • For social media, mention the platform for optimal sizing

Common Use Cases

  • Blog Posts: Enhance screenshots before publishing
  • Documentation: Make UI screenshots crystal clear
  • Social Media: Optimize images for Twitter, LinkedIn, Instagram
  • Presentations: Upscale images for large screens
  • Print Materials: Increase resolution for physical media

Read the full file on GitHub · 100 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 100 lines · 38 tokens per session scan A 57b003b9cd0c

Subscribe to this mod's changes

image-enhancer is a skill published in the GitHub repository CommandCodeAI/agent-skills (137 stars, last pushed 7mo ago), licensed MIT. It adds 38 tokens to every session and 578 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 89% identical to image-enhancer, differing in 13 lines, and is treated as a copy.

Related

Other skills, from other repositories

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens

next-cache-components-optimizer

Optimize the meaningful UI available immediately from a Next.js route on an initial load (hard navigation) or named client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route and entry point at a time; the shipped test then guards…

vercel/next.js · 123 tokens