Awesome-Dify-Workflow provides a variety of practical workflow templates, the following are a few typical examples and their application scenarios:
- json_translate.yml: Translate the content of JSON files, preserving the original structure, suitable for cross-border teams to batch translate documents or product descriptions.
- matplotlib.yml: Use matplotlib to generate charts and output Base64 format images, suitable for data analysts to turn data into charts and produce reports.
- Respond based on the user's intent.yml: Judge the intention according to the user input and choose the reply path, suitable for enterprises to realize intelligent customer service and reduce labor costs.
- Spring Festival Couplet Generator.yml: Generate personalized Spring Festival couplets, suitable for festivals, can be combined with the image generation node to output Spring Festival couplet images with background.
- Data analysis.7z: Query databases and generate reports and charts, suitable for analysts to dynamically generate visual charts.
- Dify operation one-stop.yml: Generate multi-platform copy and covers such as Xiaohongshu, Jieyin, etc., suitable for self-media people to improve the efficiency of content creation.
These templates cover a wide range of scenarios from content creation to data analytics, and users can select them on demand and import them into the Dify platform for quick use.
This answer comes from the articleDify Workflow DSL Files Collection DownloadThe
May not be reproduced without permission:AI productivity tools " What are the useful workflow templates in Awesome-Dify-Workflow? What scenarios are they suitable for?
English 
简体中文 
日本語 
Deutsch 
Português do Brasil