Test Case Generator
Describe a feature or paste API spec — LLM generates edge cases, happy-path scenarios, and boundary tests, exports a structured test case spreadsheet with preconditions, steps, and expected results.
这个工作流做什么？
系统流程
1. LLM Reasoning — Large-language-model step that extracts, classifies, validates or writes structured output 2. LLM Reasoning — Large-language-model step that extracts, classifies, validates or writes structured output 3. Pandas — Tabular compute — join, aggregate, validate and reshape the extracted records 4. OpenPyXL — Writes a formatted, formula-ready Excel workbook as the deliverable
管线分解
- LLM Reasoning
llm— Large-language-model step that extracts, classifies, validates or writes structured output spec → json - LLM Reasoning
llm— Large-language-model step that extracts, classifies, validates or writes structured output json → json - Pandas
pandas— Tabular compute — join, aggregate, validate and reshape the extracted records json → csv - OpenPyXL
openpyxl— Writes a formatted, formula-ready Excel workbook as the deliverable csv → xlsx
工作流信誉评分
基于执行次数、成功率、更新频率、组件质量和用户评分。
基于执行次数、成功率、更新频率、组件质量和用户评分。
使用组件
Large-language-model step that extracts, classifies, validates or writes structured output
FlowSync proprietaryTabular compute — join, aggregate, validate and reshape the extracted records
pandas-dev/pandas ↗Writes a formatted, formula-ready Excel workbook as the deliverable
theorchard/openpyxl ↗与 n8n / Zapier 有什么不同？
与通用工作流构建器不同，FlowSync 工作流在每个节点中预置了 AI 能力——OCR、LLM 推理、转录、超分辨率——不仅仅是 webhook 触发器。每个节点都白盒可审计：你能看到输入、输出和配置。部署即时——无需自托管，无需逐节点配置 API 密钥。
使用场景
- QA test plan generation
- Unit test coverage gap fill
- Integration test scenario design
- Regression test suite build
作者与来源
数据处理
FlowSync 工作流市场 · 68 分信誉评分 · 25% 执行率 · 95% 成功率 · 4 节点白盒管线 · FlowSync Official 维护
准备好运行了吗？
Describe a feature or paste API spec — LLM generates edge cases, happy-path scenarios, and boundary tests, exports a structured test case spreadsheet with preconditions, steps, and expected results.