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。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/fabioc-aloha/Alex_Plug_In --skill image-handling命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
正在显示 SKILL.md
Create and maintain ASCII visual dashboards for project tracking with parallel lane progress bars
Store and manage voice samples for TTS cloning — portable, version-controlled audio references
Clear documentation through visual excellence
| name | image-handling |
| description | Right format, right size, right quality — plus AI image generation via Replicate |
| tier | standard |
| applyTo | **/*.png,**/*.jpg,**/*.jpeg,**/*.webp,**/*.svg,**/*image* |
Right format, right size, right quality.
| Format | Best For | Supports |
|---|---|---|
| SVG | Icons, logos, diagrams | Infinite scale, animation |
| PNG | Screenshots, transparency | Lossless, alpha channel |
| JPEG | Photos, gradients | Small size, no transparency |
| WebP | Web images | Best compression, both |
| ICO | Favicons | Multi-resolution |
# SVG to PNG using sharp-cli (recommended)
# --density sets DPI for vector rendering (150 = crisp text)
npx sharp-cli -i input.svg -o output-folder/ --density 150 -f png
# Note: output must be a directory, filename preserved from input
npx sharp-cli -i banner.svg -o assets/ --density 150 -f png
# Creates: assets/banner.png
# ImageMagick (if installed)
magick input.svg -resize 512x512 output.png
magick input.png -quality 85 output.jpg
# Multiple sizes
foreach ($size in 16,32,64,128,256,512) {
magick input.svg -resize ${size}x${size} "icon-$size.png"
}
--density 150+ for crisp text rendering<!-- Absolute URL (always works) -->

<!-- Relative (works in repo) -->

<!-- With dark/light variants -->
<picture>
<source media="(prefers-color-scheme: dark)" srcset="banner-dark.svg">
<img src="banner-light.svg" alt="Banner">
</picture>
| Use Case | Max Size | Recommended |
|---|---|---|
| README banner | 500KB | < 100KB |
| Documentation | 200KB | < 50KB |
| Icons | 50KB | < 10KB |
| Favicon | 10KB | < 5KB |
# PNG optimization
pngquant --quality=65-80 input.png -o output.png
# JPEG optimization
jpegoptim --max=85 input.jpg
# SVG optimization
npx svgo input.svg -o output.svg
After generating or converting images, use view_image to verify output quality:
| Check | What to Look For |
|---|---|
| SVG → PNG conversion | Crisp text, no missing elements |
| AI-generated images | Artifacts, spelling errors in text, character drift |
| Optimized images | No visible quality loss from compression |
| Face-reference generation | Likeness matches reference photos |
For batch operations, use VS Code's image carousel to compare multiple outputs side-by-side.
# Convert all PNGs in a folder (cross-platform)
for f in *.png; do magick "$f" -resize 256x256 "resized-$f"; done
# macOS -- sips (zero-install, ships with macOS)
sips -Z 256 *.png # Resize to max 256px
sips -s format jpeg input.png --out out.jpg # Convert PNG to JPEG
sips -g pixelHeight -g pixelWidth image.png # Read dimensions
sips (Scriptable Image Processing System)macOS ships sips -- zero install, always available. Use for quick resize, format conversion, and metadata reads.
| Operation | Command | Notes |
|---|---|---|
| Resize (max dimension) | sips -Z 512 image.png | Preserves aspect ratio |
| Resize (exact) | sips -z 100 100 image.png | Stretches to fit |
| Convert format | sips -s format jpeg img.png --out img.jpg | png, jpeg, tiff, gif, bmp |
| Read dimensions | sips -g pixelHeight -g pixelWidth img.png | Useful in scripts |
| Rotate | sips -r 90 image.png | Degrees clockwise |
| Set DPI | sips -s dpiHeight 150 -s dpiWidth 150 img.png | For print |
Limitations: No SVG rendering, no compositing, no layering, no text overlay. For those, use ImageMagick or Inkscape.
Match user intent to the right model. When a user names a specific model or describes a need, use this table.
| Model | Replicate ID | Cost | Best For | Trigger Words |
|---|---|---|---|---|
| Flux Schnell | black-forest-labs/flux-schnell | $0.003 | Fast iteration, prototyping | "flux schnell", "quick image", "fast generation" |
| Flux Dev | black-forest-labs/flux-dev | $0.025 | High quality no-text images | "flux dev", "high quality image" |
| Flux 1.1 Pro | black-forest-labs/flux-1.1-pro | $0.04 | Production, photorealistic | "flux pro", "flux 1.1", "production image" |
| Flux 2 Pro | black-forest-labs/flux-2-pro | ~$0.05+ | High quality with reference images (up to 8 refs), text rendering | "flux 2", "flux-2-pro", "high quality refs" |
| Flux 2 Max | black-forest-labs/flux-2-max | higher | Highest fidelity BFL output | "flux 2 max", "highest quality" |
| Flux Kontext Pro | black-forest-labs/flux-kontext-pro | $0.04 | Text-based image editing, style transfer, outfit changes | "edit image", "kontext", "change background", "outfit" |
| Flux Kontext Max | black-forest-labs/flux-kontext-max | $0.08 | Premium editing + improved typography in edited images | "kontext max", "premium edit" |
| Ideogram v2 | ideogram-ai/ideogram-v2 | $0.08 | Banner typography (proven, stable API) | "ideogram v2", "banner with text" |
| Ideogram v3 Turbo | ideogram-ai/ideogram-v3-turbo | $0.03 | Fast typography generation | "ideogram turbo", "fast text image", "ideogram v3" |
| Ideogram v3 Balanced | ideogram-ai/ideogram-v3-balanced | $0.06 | Balanced quality/speed typography | "ideogram balanced" |
| Ideogram v3 Quality | ideogram-ai/ideogram-v3-quality | $0.09 | Highest quality typography | "ideogram quality", "best ideogram" |
| Nano-Banana Pro | google/nano-banana-pro | $0.025 | Face-consistent portraits with reference photos (up to 14 refs), 4K | "nano-banana", "face consistency", "portrait", "reference photo" |
| Nano-Banana 2 | google/nano-banana-2 | $0.067/1K | Faster alternative to nano-banana-pro, same 14-ref API | "nano-banana-2", "fast portrait", "gemini flash image" |
| SDXL | stability-ai/sdxl | $0.009 | Classic diffusion, LoRA styles | "sdxl", "stable diffusion", "stable diffusion xl" |
| Seedream 5 Lite | bytedance/seedream-5-lite | varies | 2K/3K with built-in reasoning, example-based editing | "seedream", "bytedance", "high resolution" |
| Nano-Banana | google/nano-banana | varies | Gemini 2.5 latest image editing (98M+ runs) | "nano-banana", "gemini image edit" |
| Imagen 4 | google/imagen-4 | varies | Google flagship text-to-image (7.9M runs) | "imagen", "imagen 4", "google image" |
| Imagen 4 Fast | google/imagen-4-fast | lower | Faster/cheaper Imagen 4 variant | "imagen fast", "cheap imagen" |
| Imagen 4 Ultra | google/imagen-4-ultra | higher | Highest quality Imagen 4 | "imagen ultra", "best imagen" |
| Flux 2 Flex | black-forest-labs/flux-2-flex | ~$0.05+ | Max-quality editing + 10 reference images | "flux flex", "flux 2 flex", "10 refs" |
| Flux 2 Klein 4B | black-forest-labs/flux-2-klein-4b | low | Sub-second inference, distilled FLUX.2 (10M+ runs) | "flux klein", "fast flux", "real-time" |
| Ideogram v2a | ideogram-ai/ideogram-v2a | lower | Faster+cheaper Ideogram v2 successor | "ideogram v2a" |
| Ideogram Character | ideogram-ai/ideogram-character | varies | Character consistency from single reference image | "ideogram character", "character ref" |
| Qwen Image 2 Pro | qwen/qwen-image-2-pro | varies | Next-gen image gen + editing, strong text rendering | "qwen image", "qwen image pro" |
| Recraft v4 | recraft-ai/recraft-v4 | varies | Design taste, strong composition, text rendering | "recraft", "design image", "art directed" |
| Recraft v4 Pro | recraft-ai/recraft-v4-pro | higher | ~2048px resolution, print-ready | "recraft pro", "print quality" |
| Recraft v4 SVG | recraft-ai/recraft-v4-svg | varies | Production-ready SVG vector images | "recraft svg", "vector", "generate svg" |
| Recraft v4 Pro SVG | recraft-ai/recraft-v4-pro-svg | $0.30 | High quality SVG with detailed paths | "recraft pro svg", "detailed svg" |
recraft-ai/recraft-v4-svg, native SVG output, scalable); see ai-generated-readme-banners skill3:1 ratio ($0.03)21:9 ratioimage_input array, same API as Pro)image_input up to 14 refs)input_images up to 8 refs) or Flux 2 Flex (up to 10 refs)xai/grok-imagine-video, $0.05/sec, auto audio + lip-sync)kwaivgi/kling-v3-video, 1080p, multi-shot, ≤15s)openai/sora-2, synced audio)Both Flux Dev and SDXL accept LoRA weights:
// Replicate format
extra_lora: "fofr/flux-pixar-cars";
// HuggingFace format
extra_lora: "huggingface.co/owner/model-name";
// CivitAI format
extra_lora: "civitai.com/models/<id>";
// Direct URL
extra_lora: "https://example.com/weights.safetensors";
| Ratio | Models | Use Case |
|---|---|---|
21:9 | Flux (all) | Ultra-wide README banner |
3:1 | Ideogram | Wide banner with typography |
16:9 | All | Standard widescreen |
1:1 | All | Square, avatar, icon |
9:16 | All | Mobile, portrait |
For character/portrait consistency across multiple generations, use models that accept reference images:
const output = await replicate.run("google/nano-banana-pro", {
input: {
prompt: "Description of desired scene",
image_input: referenceImageURIs, // Array of data URIs (up to 14)
aspect_ratio: "3:4",
output_format: "png",
},
});
Key: image_input accepts an array of data URIs. More references = better face consistency.
const output = await replicate.run("black-forest-labs/flux-2-pro", {
input: {
prompt: "Description of desired scene",
input_images: referenceImageURIs, // Array of data URIs (up to 8)
aspect_ratio: "3:4",
output_format: "png",
},
});
Key: input_images (not image_input) — different parameter name from nano-banana.
# Resize to 512px @ 85% quality for optimal API performance
magick input.jpg -resize 512x512 -quality 85 output.jpg
# Convert to base64 data URI (for embedding in visual memory)
[Convert]::ToBase64String([IO.File]::ReadAllBytes("photo.jpg")) | Set-Clipboard
Optimal reference specs: 512px longest edge, 85% JPEG quality, ~40-80KB per photo.
Generate video from a still image or text prompt via Replicate. All video models support image-to-video workflows.
| Model | Replicate ID | Cost | Duration | Audio | Best For |
|---|---|---|---|---|---|
| Veo-3 | google/veo-3 | $0.50/video | 4, 6, or 8s only | ✅ Auto | Short clips with synced audio |
| Veo-3.1-fast | google/veo-3.1-fast | lower | 4-8s | ✅ Context-aware audio | Newer/faster Veo 3, last-frame support |
| Veo-3.1 | google/veo-3.1 | higher | 4-8s | ✅ Context-aware audio | Highest fidelity successor to Veo 3 |
| Grok Video | xai/grok-imagine-video | $0.05/sec | 1-15s | ✅ Auto (music, SFX, lip-sync) | Longer videos, best audio |
| Kling v3 | kwaivgi/kling-v3-video | $0.22/sec | 3-15s | ✅ Native | Cinematic quality, 1080p, multi-shot |
| Kling v3 Omni | kwaivgi/kling-v3-omni-video | varies | 3-15s | ✅ Native | Multi-modal: text, ref image, editing |
| Sora-2 | openai/sora-2 | varies | flexible | ✅ Synced | Home-video realism, flexible prompting |
| WAN 2.5 fast | wan-video/wan-2.5-t2v-fast | low | 5-10s | ❌ | Open-source, fast, cost-effective |
| Model | Min | Max | Notes |
|---|---|---|---|
| Veo-3 | 4s | 8s | Only accepts 4, 6, or 8 — other values rejected |
| Grok Video | 1s | 15s | Flexible, any integer |
| Kling v3 | 3s | 15s | Modes: standard (720p), pro (1080p) |
Typical workflow: generate a still image first, then animate it:
// Step 1: Generate still image
const image = await replicate.run("google/nano-banana-pro", {
input: { prompt: "Person smiling at camera", image_input: refs },
});
// Step 2: Animate to video
const video = await replicate.run("google/veo-3", {
input: {
prompt: "Head turns slowly, smile widens, warm natural lighting",
image: imageUrl,
duration: 6,
},
});
For content creation (audiobooks, narration, voice cloning), Replicate offers paid cloud TTS models.
| Model | Replicate ID | Cost | Voice Cloning | Languages | Best For |
|---|---|---|---|---|---|
| Speech 2.8 Turbo | minimax/speech-2.8-turbo | $0.06/1k tokens | ❌ | 40+ | Fast, expressive, many voices |
| Speech 2.8 HD | minimax/speech-2.8-hd | higher | ❌ | 40+ | Studio-grade high-fidelity audio |
| Chatterbox Turbo | resemble-ai/chatterbox-turbo | $0.025/1k chars | ✅ (5s sample) | English | Voice cloning, natural pauses |
| Qwen TTS | qwen/qwen3-tts | $0.02/1k chars | ✅ | 10 | Voice design from description |
Speech Turbo: Wise_Woman, Deep_Voice_Man, Casual_Guy, Lively_Girl, Young_Knight, Abbess, + 6 more
Chatterbox: Andy, Luna, Ember, Aurora, Cliff, Josh, William, Orion, Ken
Qwen TTS: Aiden, Dylan, Eric, Serena, Vivian, + 4 more
Supported emotions: auto, happy, sad, angry, fearful, disgusted, surprised
Provide a 5+ second audio sample to clone a voice:
const output = await replicate.run("resemble-ai/chatterbox-turbo", {
input: {
text: "Content to speak in the cloned voice",
audio_prompt: referenceAudioDataURI, // 5+ seconds WAV/MP3
},
});
Create a voice from a natural language description:
const output = await replicate.run("qwen/qwen3-tts", {
input: {
text: "Content to speak",
tts_mode: "voice_design",
voice_description:
"A warm, friendly female voice with a slight British accent",
},
});
| Scenario | Recommended | Why |
|---|---|---|
| Create audiobook narration | Speech 2.8 HD | Studio-grade quality |
| Fast narration, many languages | Speech 2.8 Turbo | 40+ languages, emotion control |
| Clone a specific voice | Chatterbox Turbo | 5s sample, English |
| Design a voice from description | Qwen TTS | Natural language voice spec |
| Generate voice for video | Speech 2.8 Turbo | Emotion control, syncs with video |
基于 SOC 职业分类