pipeline-reasoner
CommunityDiagnose business DAG pipeline types, missing modules, and logic anomalies.
Software Engineering#business intelligence#DAG analysis#pipeline-reasoner#CloudLLMReasoner#logical diagnosis
Authorbettercallfan
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill diagnoses the pipeline type, missing modules, and logical anomalies in business DAGs, providing a clear JSON-formatted diagnosis result.
Core Features & Use Cases
- Pipeline Type Inference: Determines the business classification of a smart city based on the DAG.
- Missing Module Detection: Identifies missing key business modules in the pipeline.
- Logic Anomaly Detection: Finds logical breaks, reverse dependencies, data flow disconnections, or sequence anomalies.
- Use Case: For a city planning department, use this Skill to analyze and diagnose the flow of a city's traffic management system, ensuring a smooth and efficient operation.
Quick Start
Diagnose the business DAG pipeline of the attached file 'traffic_management_system.dag'.
Dependency Matrix
Required Modules
networkx
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: pipeline-reasoner Download link: https://github.com/bettercallfan/deerflow/archive/main.zip#pipeline-reasoner Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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