🎨

Image Editor

👤 liyafeichina 📦 v1.0.0 ⭐ 4.3 ⬇️ 500 下載
🎨 設計多媒體 免費

📖 技能介紹


name: image-editor description: Use this skill when the user asks to edit, modify, replace text, or add/remove elements in an image. Always preserve original resolution. Always verify output with vision model. Never resize or scale the image. metadata: {"openclaw": {"requires": {"bins": ["python3"]}}}


Image Editor Skill

Core Rules (NEVER BREAK)

  1. Preserve original resolution — never resize, scale, or change dimensions
  2. Verify every output with vision model — use the image tool to check the result before delivering
  3. Use PIL directly — Python PIL/Pillow for pixel-level manipulation, not external tools

Workflow

Step 1: Analyze the original image

python3 -c "
from PIL import Image
img = Image.open('PATH')
print(f'Size: {img.size}, Mode: {img.mode}')
"

Step 2: Identify target region

  • Open the image with read tool (supports jpg/png)
  • Use image tool with prompt "identify the exact pixel coordinates of [target area]"
  • Record: x_start, y_start, x_end, y_end

Step 3: Edit with PIL

from PIL import Image, ImageDraw, ImageFont
img = Image.open('INPUT')
draw = ImageDraw.Draw(img)

# For text replacement:
# 1. Fill background color over old text
# 2. Draw new text with matching font/color
# macOS Chinese fonts: /System/Library/Fonts/STHeiti Light.ttc

font = ImageFont.truetype('/System/Library/Fonts/STHeiti Light.ttc', size=PIXEL_SIZE)
draw.text((x, y), 'NEW TEXT', fill=(R, G, B), font=font)
img.save('OUTPUT.jpg', quality=95)

Step 4: Verify output (MANDATORY)

Use the image tool on the output file with prompt: "Compare this edited image with the original at ORIGINAL_PATH. Is the text replacement correct? Is resolution preserved? Any artifacts?"

7w4.net小蔥技能。

Step 5: Only deliver after verification passes

Common mistakes (from real failures)

  • ❌ Using web_fetch to "download" an image (it resizes)
  • ❌ Skipping vision verification
  • ❌ Calling external APIs that don't support the format
  • ❌ Saving with wrong quality/format
  • ✅ PIL direct pixel manipulation
  • ✅ Vision verification of every output

🤖 AI 評測

這個影像編輯技能質量不錯,文件寫得清楚明白,操作步驟也很清晰。最大優點是它能保持原圖解析度不變形,而且要求驗證編輯結果確保沒問題再交付,這點很靠譜。風險提示寫得詳細,讓人用著放心。不足之處是它對蘋果電腦系統的字型支援比較好,在其他電腦上可能需要自己找合適的字型。測試用例也比較少,只有3個場景。總體來說功能實用,但跨平臺相容性還需要改進。

📊 多維度評分

適應性4.3
規範性4.3
有效性4.5
可靠性3.9
可信度4.9

📁 包含檔案 (4 個)

📄 SKILL.md 2.1 KB
📄 _meta.json 131 B
📄 evals/evals.json 826 B
📄 skill-card.md 2.3 KB