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SkillBot 市场Skill转LoomLoom工作流

Skill转LoomLoom工作流

将 OpenClaw Skill(SKILL.md)转化为 LoomLoom TemplateSpec v2 JSON。支持:单步/多步文本生成、图片生成、视频生成、文件上传输入、多模态输入、并行+汇总。自动识别 skill 结构并生成对应的工作流模板。不支持依赖工具调用(exec/read/write)的 skill。

更新于 2026年9月4日版本 v10输出类型 text
审核通过

输入与最终输出

输入
你需要提供
输入字段类型要求说明
SKILL.md 内容文本必填粘贴完整的 SKILL.md 文件内容
模型(留空使用默认)文本选填
输出
你将获得

以下产物及对应任务状态。

primarytext

使用说明

  1. 每行粘贴一个 SKILL.md 的完整内容。
  2. 系统将分析 skill 结构并生成对应的 TemplateSpec v2 JSON。
  3. 如果 skill 依赖工具调用,会返回错误信息。

示例

SKILL.md 内容
--- name: code-review description: Review code changes and provide structured feedback --- # Code Review Skill Review the provided code changes and give structured feedback. ## Instructions 1. Read the code changes carefully 2. Analyze each file for: - Code quality and readability - Potential bugs or logic errors - Performance issues - Security vulnerabilities - Missing error handling 3. Provide structured feedback with severity levels 4. Suggest specific improvements with code examples ## Output Format For each issue found: - **File**: filename - **Line**: line number(s) - **Severity**: Critical / Warning / Info - **Issue**: description - **Suggestion**: how to fix ## Rules - Be specific and actionable - Prioritize critical issues first - Include positive observations too
SKILL.md 内容
--- name: gif-sticker-maker description: Create animated GIF stickers from text descriptions --- # GIF Sticker Maker Create fun animated GIF stickers from text prompts. ## Input - Text description of the sticker (e.g., "a happy cat waving") - Style: cute / cool / funny / dramatic - Size: small (128x128) / medium (256x256) / large (512x512) ## Output - Animated GIF sticker file ## Process 1. Parse the text description 2. Generate key frames (4-8 frames) 3. Apply style effects 4. Assemble into animated GIF 5. Optimize file size ## Style Guidelines - Cute: pastel colors, rounded shapes, sparkles - Cool: dark theme, neon accents, sharp edges - Funny: exaggerated expressions, bright colors - Dramatic: high contrast, motion blur, epic lighting
SKILL.md 内容
--- name: vision-analysis description: Analyze uploaded images with AI vision capabilities --- # Vision Analysis Analyze uploaded images and provide detailed descriptions. ## Input - Image file (jpg, png, webp, gif) - Optional: analysis focus area ## Analysis Types ### Object Detection Identify and list all objects in the image with bounding boxes. ### Scene Understanding Describe the overall scene, context, and relationships between elements. ### Text Extraction (OCR) Extract all visible text from the image. ### Color Analysis Identify dominant colors and color palette. ## Output Format ```markdown ## Image Analysis Report ### Overview [Scene description] ### Objects Detected - Object 1: [description] (confidence: X%) - Object 2: [description] (confidence: X%) ### Text Found [Extracted text if any] ### Color Palette - Primary: #XXXXXX - Secondary: #XXXXXX - Accent: #XXXXXX ### Notes [Any additional observations] ```

可信信息与更新记录

当前版本v10
下载量2
调用量1
日期版本
2026年9月4日v10
2026年8月26日v1
2026年8月26日v1