菜单
Generate animated ASCII art from images with subject detection, blurred pixelated backgrounds, and dynamic visual effects. Use when asked to create ASCII art, convert an image to ASCII, generate pixel art, add animated text art effects, or make retro-style visual art from photos.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | ascii-pixel-art |
| description | Generate animated ASCII art from images with subject detection, blurred pixelated backgrounds, and dynamic visual effects. Use when asked to create ASCII art, convert an image to ASCII, generate pixel art, add animated text art effects, or make retro-style visual art from photos. |
Generate animated ASCII art from images with subject detection, blurred pixelated backgrounds, and dynamic visual effects.
Transform images into interactive ASCII art with sophisticated visual effects. Uses computer vision to detect subjects, creates atmospheric backgrounds, and adds cinematic animations including pulse effects, diagonal sweeps, random flickers, and interactive hover responses.
✅ Use when:
❌ Do NOT use when:
Required packages:
pip install pillow rembg numpy
System requirements:
python3 scripts/ascii_pixel_effect.py <input_image> [output.html]
# Generate with default output name
python3 scripts/ascii_pixel_effect.py portrait.jpg
# Specify output file
python3 scripts/ascii_pixel_effect.py photo.png artwork.html
# Process multiple images
for img in *.jpg; do
python3 scripts/ascii_pixel_effect.py "$img" "${img%.jpg}.html"
done
1. Load and Resize
2. Build Blurred Background
3. Subject Detection
4. Pixel Grid Overlay
5. Build Character Grid
. character in dark blue (40, 65, 100)@#S08Xox+=;:-,. (inverted luminance)6. Composite Layers
7. Animate (JavaScript)
| Parameter | Value | Purpose |
|---|---|---|
| TARGET_WIDTH | 900px | Output image width |
| CELL_W × CELL_H | 11×14px | Character cell dimensions |
| GRID_STEP | 24px | Pixel grid interval |
| Blur radius | 14 | Background blur strength |
| BG darken | 0.65 | Background darkening (35% darker) |
| BG desaturate | 50% | Background color reduction |
| Subject threshold | 0.25 | Mask mean for subject detection |
| ASCII ramp | @#S08Xox+=;:-,. | Density gradient (dark→light) |
| BG dot color | (40, 65, 100) | Background character RGB |
| BG dot opacity | 30% | Background character transparency |
| Grid opacity | 5% | Pixel grid visibility |
def normalize_color(r, g, b):
"""Preserve hue, maximize brightness"""
mx = max(r, g, b, 1)
return int(r/mx*255), int(g/mx*255), int(b/mx*255)
This normalizes RGB values so the brightest channel reaches 255, preserving hue while maximizing color saturation for subject pixels.
Self-contained HTML file:
Visual effects:
Image Selection:
Performance:
Artistic Control:
Common Issues:
skills/ascii-pixel-effect-v2/SKILL.md for implementationMIT License - Free to use and modify
Create production-ready GitHub Actions workflows for automated testing, building, and deploying applications. Use when setting up CI/CD with GitHub Actions, automating development workflows, or creating reusable workflow templates.
Implement comprehensive evaluation strategies for LLM applications using automated metrics, LLM-as-judge, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, comparing prompts/models, or establishing evaluation frameworks. Covers RAGAS for RAG pipelines, evals-as-code CI/CD integration, and modern 2025/2026 practices including structured output evaluation and agentic task success measurement.
Create or expand an Idea.md / IDEA.md file from a rough description, existing repo, conversation history, notes, or other early-stage product inputs. Use when the user asks to "write an Idea.md", "turn this into an idea file", "capture this product idea", "expand this concept", or wants a repo-grounded concept brief before validation, PRD, or implementation work.
Run a rigorous autonomous experiment loop for any optimization target using explicit hypotheses, repeated trials, structured experiment logs, and local HTML reports. Use when asked to "run autoresearch", "optimize X in a loop", "start experiments", or "improve this with benchmark-driven iteration".
Capture reusable knowledge and create new skills automatically during coding sessions, problem solving, and retrospectives. Use when finishing a complex task, running a retrospective, discovering a reusable pattern, or when user says "save this as a skill", "capture this solution", "run a retrospective", or "what did we learn from this".
Build professional native macOS apps in Swift with SwiftUI and AppKit. Full lifecycle - build, debug, test, optimize, ship. CLI-only, no Xcode. Use when asked to: create macOS apps, build Swift apps, develop SwiftUI interfaces, fix macOS app issues, add macOS app features, or when user says 'build a Mac app', 'create a Swift project', 'develop for macOS'.