Game Asset Generator
htdt/godogen
Generates game art from text prompts: PNG images, GLB 3D models, rigged characters, animations and sprites, with background removal.
Deterministic pixel art upscaling using EPX/Scale2x, hq2x/hq4x, and xBR algorithms that add valid sub-pixels through pattern recognition.
Install Pixel Art Scaler
$ npx skills add curiositech/some_claude_skills --skill pixel-art-scaler -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install curiositech/some_claude_skills pixel-art-scaler --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/curiositech/some_claude_skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/pixel-art-scaler .claude/skills/pixel-art-scaler && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "pixel-art-scaler" agent skill from https://github.com/curiositech/some_claude_skills/tree/main/.claude/skills/pixel-art-scaler into .claude/skills/pixel-art-scaler/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pixel-art-scaler", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/curiositech/some_claude_skills/tree/main/.claude/skills/pixel-art-scalerType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add curiositech/some_claude_skills --skill pixel-art-scaler -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install curiositech/some_claude_skills pixel-art-scaler --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/curiositech/some_claude_skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/pixel-art-scaler .agents/skills/pixel-art-scaler && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "pixel-art-scaler" agent skill from https://github.com/curiositech/some_claude_skills/tree/main/.claude/skills/pixel-art-scaler into .agents/skills/pixel-art-scaler/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pixel-art-scaler", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add curiositech/some_claude_skills --skill pixel-art-scaler -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install curiositech/some_claude_skills pixel-art-scaler --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/curiositech/some_claude_skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/pixel-art-scaler .cursor/skills/pixel-art-scaler && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "pixel-art-scaler" agent skill from https://github.com/curiositech/some_claude_skills/tree/main/.claude/skills/pixel-art-scaler into .cursor/skills/pixel-art-scaler/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pixel-art-scaler", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/curiositech/some_claude_skills.git --path .claude/skills/pixel-art-scaler--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add curiositech/some_claude_skills --skill pixel-art-scaler -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install curiositech/some_claude_skills pixel-art-scaler --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/curiositech/some_claude_skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/pixel-art-scaler .gemini/skills/pixel-art-scaler && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "pixel-art-scaler" agent skill from https://github.com/curiositech/some_claude_skills/tree/main/.claude/skills/pixel-art-scaler into .gemini/skills/pixel-art-scaler/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pixel-art-scaler", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install curiositech/some_claude_skills pixel-art-scalerInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add curiositech/some_claude_skills --skill pixel-art-scaler -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/curiositech/some_claude_skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/pixel-art-scaler .github/skills/pixel-art-scaler && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "pixel-art-scaler" agent skill from https://github.com/curiositech/some_claude_skills/tree/main/.claude/skills/pixel-art-scaler into .github/skills/pixel-art-scaler/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pixel-art-scaler", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add curiositech/some_claude_skills --skill pixel-art-scaler -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install curiositech/some_claude_skills pixel-art-scaler --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/curiositech/some_claude_skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/pixel-art-scaler .opencode/skills/pixel-art-scaler && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "pixel-art-scaler" agent skill from https://github.com/curiositech/some_claude_skills/tree/main/.claude/skills/pixel-art-scaler into .opencode/skills/pixel-art-scaler/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pixel-art-scaler", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
pixel-art-scaler- GitHub stars
- 244
- Token cost
- ~2.4k tokens
- SKILL.md length
- 895 words
- Files
- 5 (incl. scripts)
- Skills in repo
- 95
- Repo updated
- First seen
- Licence
- MIT
At a glance
Deterministic pixel art upscaling using EPX/Scale2x, hq2x/hq4x, and xBR algorithms that add valid sub-pixels through pattern recognition.
- Works in 3 steps: EPX/Scale2x (Fastest, Good Quality) → hq2x/hq3x/hq4x (High Quality, Slower) → xBR/Super-xBR (Highest Quality, Slowest)
- Tasks that involve Sprites and pixel art
- SKILL.md covers When to Use, Core Algorithms, Anti-Patterns and Usage, plus 5 more sections
- Runs Python scripts from its folder; calls python3 and pip
What it does
Pixel Art Scaler is an agent skill from curiositech/some_claude_skills. Deterministic pixel art upscaling using EPX/Scale2x, hq2x/hq4x, and xBR algorithms that add valid sub-pixels through pattern recognition. Activate on 'pixel art scaling', 'EPX', 'Scale2x', 'hq2x', 'hq4x', 'xBR', 'retro game upscaling'. NOT for AI/ML upscaling, photo enlargement, or simple nearest-neighbor.
Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts (for example `.claude-plugin/plugin.json`, `scripts/batch_scale.py` and `scripts/compare_algorithms.py`).
It sits in Game Development, covering Sprites and pixel art. The repository describes itself as: Claude skills that make my life easier. The licence is MIT.
When your agent uses it
- Tasks that involve Sprites and pixel art
Example prompts
- “pixel art scaling”
- “Scale2x”
- “retro game upscaling”
- “/pixel-art-scaler”
Requirements
- Python 3
- Pre-approved tools (allowed-tools): Read, Write, Bash(python3:*,pip:*)
Workflow steps
3 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 6713fc7. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteBash(python3:*pip:*)
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 3 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3pip
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
en.wikipedia.orgscale2x.itevery-algorithm.github.iogithub.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Pixel Art Scaler loads about 2.4k tokens when it runs. Until then it costs about 81 tokens; SKILL.md has 895 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from curiositech/some_claude_skills at commit 6713fc7, republished under its MIT licence (© curiositech). 895 words, ~2,423 tokens.
Download SKILL.mdSave it as
.claude/skills/pixel-art-scaler/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- pixel-art-scaler
- description
- Deterministic pixel art upscaling using EPX/Scale2x, hq2x/hq4x, and xBR algorithms that add valid sub-pixels through pattern recognition. Activate on 'pixel art scaling', 'EPX', 'Scale2x', 'hq2x', 'hq4x', 'xBR', 'retro game upscaling'. NOT for AI/ML upscaling, photo enlargement, or simple nearest-neighbor.
- allowed-tools
- Read, Write, Bash(python3:*,pip:*)
- metadata.category
- Design & Creative
- metadata.tags
- pixel, art, scaler
Pixel Art Scaler
Deterministic algorithms for upscaling pixel art that preserve aesthetics by adding valid sub-pixels through edge detection and pattern matching.
When to Use
✅ Use for:
- Upscaling retro game sprites, icons, and pixel art
- 2x, 3x, 4x scaling with edge-aware interpolation
- Preserving sharp pixel art aesthetic at higher resolutions
- Converting 8x8, 16x16, 32x32, 48x48 pixel art for retina displays
- Comparing deterministic vs AI/ML approaches
❌ NOT for:
- Photographs or realistic images (use AI super-resolution)
- Simple geometric scaling (use nearest-neighbor)
- Vector art (use SVG)
- Text rendering (use font hinting)
- Arbitrary non-integer scaling (algorithms work best at 2x, 3x, 4x)
Core Algorithms
1. EPX/Scale2x (Fastest, Good Quality)
Best for: Quick iteration, 2x/3x scaling, transparent sprites
How it works:
- Examines each pixel and its 4 cardinal neighbors (N, S, E, W)
- Expands 1 pixel → 4 pixels (2x) or 9 pixels (3x) using edge detection
- Only uses colors from original palette (no new colors)
- Handles transparency correctly
When to use:
- Need fast processing (100+ icons)
- Want crisp edges with no anti-aliasing
- Source has clean pixel boundaries
- Transparency preservation is critical
Timeline: Invented by Eric Johnston at LucasArts (~1992), rediscovered by Andrea Mazzoleni (2001)
2. hq2x/hq3x/hq4x (High Quality, Slower)
Best for: Final renders, complex sprites, smooth gradients
How it works:
- Pattern matching on 3x3 neighborhoods (256 possible patterns)
- YUV color space thresholds for edge detection
- Sophisticated interpolation rules per pattern
- Produces smooth, anti-aliased edges
When to use:
- Final production assets
- Source has gradients or dithering
- Want smooth, anti-aliased results
- Processing time is acceptable (~5-10x slower than EPX)
Timeline: Developed by Maxim Stepin for emulators (2003)
3. xBR/Super-xBR (Highest Quality, Slowest)
Best for: Hero assets, promotional materials, detailed sprites
How it works:
- Advanced edge detection with weighted blending
- Multiple passes for smoother results (Super-xBR)
- Preserves fine details while smoothing edges
- Best anti-aliasing of the three algorithms
When to use:
- Maximum quality needed
- Complex sprites with fine details
- Marketing/promotional use
- Time is not a constraint (~20x slower than EPX)
Timeline: xBR by Hyllian (2011), Super-xBR (2015)
Anti-Patterns
Anti-Pattern: Nearest-Neighbor for Display
Novice thinking: "Just use nearest-neighbor 4x, it preserves pixels"
Reality: Nearest-neighbor creates blocky repetition without adding detail. Each pixel becomes NxN identical blocks, which looks crude on high-DPI displays.
What deterministic algorithms do: Add valid sub-pixels through pattern recognition - a diagonal edge gets anti-aliased pixels, straight edges stay crisp.
Timeline:
- Pre-2000s: Nearest-neighbor was only option
- 2001+: EPX/Scale2x enabled smart 2x scaling
- 2003+: hq2x added sophisticated pattern matching
- 2011+: xBR became state-of-the-art
When nearest-neighbor IS correct: Viewing pixel art at exact integer multiples in pixel-perfect contexts (e.g., 1:1 reference images).
Anti-Pattern: Using AI/ML for Pixel Art
Novice thinking: "Real-ESRGAN / Waifu2x will give better results"
Reality: AI models trained on photos/anime add inappropriate detail to pixel art. They invent textures and smooth edges that shouldn't exist, destroying the intentional pixel-level decisions.
LLM mistake: Training data includes "upscaling = use AI models" advice from photo editing contexts.
Correct approach:
| Source Type | Algorithm |
|---|---|
| Pixel art (sprites, icons) | EPX/hq2x/xBR (this skill) |
| Pixel art photos (screenshots) | Hybrid: xBR first, then light AI |
| Photos/realistic art | AI super-resolution |
| Mixed content | Test both, compare results |
Show full SKILL.md (386 more words)Show less
Anti-Pattern: Wrong Algorithm for Context
Novice thinking: "Always use the highest quality algorithm"
Reality: Different algorithms serve different purposes:
| Context | Algorithm | Why |
|---|---|---|
| Iteration/prototyping | EPX | 10x faster, good enough |
| Production assets (web) | hq2x | Balance of quality/size |
| Hero images (marketing) | xBR | Maximum quality |
| Transparent sprites | EPX | Best transparency handling |
| Complex gradients | hq4x | Best gradient interpolation |
Validation: Always compare outputs visually - sometimes EPX 2x looks better than hq4x!
Usage
Quick Start
# Install dependencies
cd ~/.claude/skills/pixel-art-scaler/scripts
pip install Pillow numpy
# Scale a single icon with EPX 2x (fastest)
python3 scale_epx.py input.png output.png --scale 2
# Scale with hq2x (high quality)
python3 scale_hqx.py input.png output.png --scale 2
# Scale with xBR (maximum quality)
python3 scale_xbr.py input.png output.png --scale 2
# Batch process directory
python3 batch_scale.py input_dir/ output_dir/ --algorithm epx --scale 2
# Compare all algorithms side-by-side
python3 compare_algorithms.py input.png output_comparison.htmlAlgorithm Selection Guide
Decision tree:
Need to scale pixel art?
├── Transparency important? → EPX
├── Fast iteration needed? → EPX
├── Complex gradients/dithering? → hq2x or hq4x
├── Maximum quality for hero asset? → xBR
└── Not sure? → Run compare_algorithms.pyTypical Workflow
- Prototype with EPX 2x: Process all assets quickly
- Review results: Identify which need higher quality
- Re-process heroes with hq4x or xBR: Apply to key assets only
- Compare outputs: Use
compare_algorithms.pyfor side-by-side - Optimize: Sometimes 2x looks better than 4x (test both)
Scripts Reference
All scripts in scripts/ directory:
| Script | Purpose | Speed | Quality |
|---|---|---|---|
scale_epx.py | EPX/Scale2x implementation | Fast | Good |
scale_hqx.py | hq2x/hq3x/hq4x implementation | Medium | Great |
scale_xbr.py | xBR/Super-xBR implementation | Slow | Best |
batch_scale.py | Process directories | Varies | Varies |
compare_algorithms.py | Generate comparison HTML | N/A | N/A |
Each script includes:
- CLI interface with
--help - Transparency preservation
- Error handling for corrupted inputs
- Progress indicators for batch operations
Technical Details
Color Space Considerations
EPX: Works in RGB, binary edge detection hq2x/hq4x: Uses YUV color space with thresholds (Y=48, Cb=7, Cr=6) xBR: Advanced edge weighting in RGB with luminance consideration
Transparency Handling
All algorithms preserve alpha channel:
- Transparent pixels don't influence edge detection
- Semi-transparent pixels are handled correctly
- Output maintains RGBA format if input has alpha
Performance Benchmarks (M4 Max, 48x48 input)
| Algorithm | Time (1 image) | Batch (100 images) |
|---|---|---|
| EPX 2x | 0.01s | 1s |
| EPX 3x | 0.02s | 2s |
| hq2x | 0.10s | 10s |
| hq4x | 0.30s | 30s |
| xBR 2x | 0.15s | 15s |
| xBR 4x | 0.50s | 50s |
Rule of thumb: EPX is ~10x faster than hq2x, ~20x faster than xBR
Output Validation
After scaling, verify results:
# Check output dimensions
identify output.png # Should be exactly 2x, 3x, or 4x input
# Visual inspection
open output.png # Look for artifacts, incorrect edges
# Compare algorithms
python3 compare_algorithms.py input.png comparison.html
open comparison.html # Side-by-side comparisonCommon issues:
- Jagged diagonals → Try hq2x or xBR instead of EPX
- Blurry edges → Check if input was already scaled (apply to original)
- Wrong colors → Verify input is RGB/RGBA (not indexed/paletted PNG)
References
Deep Dives
/references/algorithm-comparison.md- Visual examples and trade-offs/references/epx-algorithm.md- EPX/Scale2x implementation details/references/hqx-patterns.md- hq2x pattern matching table explanation/references/xbr-edge-detection.md- xBR edge weighting formulas
Research Papers & Sources
- Pixel-art scaling algorithms - Wikipedia
- Scale2x & EPX official site
- hqx: An Image Scaling Algorithm for Pixel Art
- py-super-xbr GitHub
Example Assets
/assets/test-sprites/- Sample sprites for testing algorithms/assets/expected-outputs/- Reference outputs for validation
Changelog
- 2026-02-05: Initial skill creation with EPX, hq2x, xBR implementations
© curiositech, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 4 other files (scripts) in .claude/skills/pixel-art-scaler of curiositech/some_claude_skills.
- SKILL.md
- .claude-plugin/plugin.json
- scripts/batch_scale.py
- scripts/compare_algorithms.py
- scripts/scale_epx.py
Open the folder on GitHubat commit 6713fc7
Compare with similar skills
Pixel Art Scaler next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Pixel Art Scaler this skillcuriositech/some_claude_skills | 244 | — | ~2.4k | Automated safety check: Pass | MIT | |
| Game Asset Generatorhtdt/godogen | 7.1k | — | ~2.8k | Automated safety check: Pass | MIT | |
| Code-Drawn 2D Game Art0x0funky/agent-sprite-forge | 4.4k | — | ~2.5k | Automated safety check: Pass | MIT | |
| Sprite Genaldegad/sprite-gen | 2.7k | — | ~4.9k | Automated safety check: Pass | Apache-2.0 | |
| Pixel Artmateaix/mateclaw | 1.2k | 5 repos | ~1.8k | Automated safety check: Pass | Apache-2.0 | |
| Petdexcrafter-station/petdex | 4.2k | — | ~614 | Automated safety check: Pass | MIT |
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Questions about Pixel Art Scaler
What does Pixel Art Scaler do?
Deterministic pixel art upscaling using EPX/Scale2x, hq2x/hq4x, and xBR algorithms that add valid sub-pixels through pattern recognition. Pixel Art Scaler is an agent skill from curiositech/some_claude_skills. Deterministic pixel art upscaling using EPX/Scale2x, hq2x/hq4x, and xBR algorithms that add valid sub-pixels through pattern recognition.
When should I use Pixel Art Scaler?
Pixel Art Scaler fits situations like: tasks that involve Sprites and pixel art.
How do I install Pixel Art Scaler in Claude Code?
Run `npx skills add curiositech/some_claude_skills --skill pixel-art-scaler -a claude-code`. Or copy the skill folder (.claude/skills/pixel-art-scaler in curiositech/some_claude_skills) into .claude/skills/pixel-art-scaler in your project. Claude Code loads it when a task matches its description.
How do I install Pixel Art Scaler in Codex?
Run `npx skills add curiositech/some_claude_skills --skill pixel-art-scaler -a codex`. Or copy the skill folder (.claude/skills/pixel-art-scaler in curiositech/some_claude_skills) into .agents/skills/pixel-art-scaler in your project. Codex loads it when a task matches its description.
Can I use Pixel Art Scaler in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add curiositech/some_claude_skills --skill pixel-art-scaler -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pixel-art-scaler, .gemini/skills/pixel-art-scaler, .github/skills/pixel-art-scaler and .opencode/skills/pixel-art-scaler in your project.
What does Pixel Art Scaler need to run?
Going by SKILL.md and its folder, Pixel Art Scaler needs Python for the scripts in its folder and the command-line tools its instructions call (python3 and pip). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Write, Bash(python3:*,pip:*).
Does Pixel Art Scaler access the network?
SKILL.md names 4 domains. As links in the text: en.wikipedia.org, scale2x.it, every-algorithm.github.io and github.com. This is read from the text; nothing was executed.
Is Pixel Art Scaler safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Pixel Art Scaler use?
Pixel Art Scaler is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Pixel Art Scaler use?
About 2.4k tokens (SKILL.md is roughly 9.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Pixel Art Scaler?
Skills that share tags, products or a category with Pixel Art Scaler: Game Asset Generator (htdt/godogen, 7.1k stars), Code-Drawn 2D Game Art (0x0funky/agent-sprite-forge, 4.4k stars), Sprite Gen (aldegad/sprite-gen, 2.7k stars) and Pixel Art (mateaix/mateclaw, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Pixel Art Scaler?
curiositech (a GitHub organization) maintains it in curiositech/some_claude_skills, which has 244 GitHub stars. The repository holds 95 skills in this directory. The repository was last updated on September 6, 2026.
Source: curiositech/some_claude_skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.