twwch

twwch / workflow-skill

Public

一句话描述你想要的工作流，自动生成 Coze / Dify / ComfyUI 平台可直接导入的完整工作流定义文件——包括节点配置、连线、布局和所有平台特有的格式要求。

42
11
69% credibility
Found Apr 15, 2026 at 43 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A repository of pre-built workflow templates and builder scripts for AI automation platforms like Dify and Coze, showcasing complex business processes such as ecommerce product sourcing, financial reporting, customer service, video production, and code auditing.

How It Works

1
🔍 Discover ready-made automation plans

You stumble upon a collection of simple blueprints that automate tricky business jobs like listing products or chatting with customers.

2
📋 Pick your favorite plan

Browse the examples and choose one, like the helper that finds hot products and sells them worldwide.

3
✨ Load it into your automation tool

Copy the plan into a friendly app like Dify with one easy import – it sets everything up instantly.

4
✏️ Add your own details

Type in basics like what to sell, where, and how much to spend – feels like filling a shopping list.

5
🚀 Press go and relax

Hit the button, and it springs to life: hunts deals, checks quality, tweaks for local tastes, and posts everywhere.

🎉 See your business hum

Products go live across shops, reports appear, or chats handle themselves – you saved tons of time and effort!

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AI-Generated Review

What is workflow-skill?

This Python tool lets you describe a workflow in one natural language sentence, then spits out complete, import-ready files for Coze (ByteDance's AI platform), Dify, or ComfyUI—including nodes, connections, prompts, layouts, and platform-specific quirks. No more dragging boxes for hours: paste your idea like "cross-border e-commerce SKU selector with multi-market listing," and get YAML or ZIP files that deploy instantly. It shines in demos for e-commerce routing, financial reports, customer service bots, video factories, and security audits on GitHub coze workflow or Dify.

Why is it gaining traction?

Unlike coze vs dify or n8n comparisons where you rebuild flows manually, it auto-generates platform-native exports with iteration loops, conditionals, and tool calls—saving hours on coze dify langflow prototypes. Coze AI GitHub users get ZIPs with MANIFESTs that import flawlessly; Dify folks grab battle-tested YAMLs for agents or RAG. The hook? Real-world templates like coze flow github loops or github coze agent setups, bridging coze studio vs dify gaps without vendor lock-in.

Who should use this?

AI ops engineers prototyping coze dify autogen or langchain agents on ByteDance Coze GitHub. DevRel teams building demos for customer service or video pipelines in Dify vs n8n 对比 scenarios. Indie hackers testing i2v skill workflow or github coze api loops before committing to FastGPT or ComfyUI production.

Verdict

Grab it if you're on Coze/Dify—demos prove it delivers complex flows fast, despite 42 stars signaling early maturity. Credibility score of 0.7% reflects sparse docs, but Python scripts run reliably for quick wins; test on your workflows before scaling.

(198 words)

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