Status: Planned
For data cleaning, exploratory analysis, visualization, insight generation, and report creation.
Load Data → Validate Schema → Clean Data → Explore → Analyze → Visualize → Insight Review → Final Report
- Load data from files, databases, or APIs.
- Validate schema, handle missing values, fix inconsistencies.
- Perform statistical analysis, hypothesis testing, and feature exploration.
- Generate charts and dashboards for key findings.
- Review findings for accuracy and business relevance.
- Confirm analysis goal
- Review final insights
- Type: inspired_by
- Name: CrewAI Stock Analysis / LangGraph RAG and analysis examples
- URL: https://github.com/crewAIInc/crewAI-examples, https://github.com/langchain-ai/langgraph/tree/main/examples
- License: please verify
- Notes: Inspired by public agent analysis examples. This loop should be platform-agnostic and not copy framework-specific code.
- Write
template/ORCHESTRATOR.md - Write
template/state.template.md - Write prompts for each role
- Add heartbeat configuration
- Add failure behavior