research-orchestrator

Automate a community research pipeline by using an orchestrator that sequences specialized Skills for data collection, cleaning, analysis, and output generation. It intelligently selects necessary steps based on user intent and manages project states to handle dependencies between Skills automatically.

Yes, you can run a single step of a research pipeline because the orchestrator supports flexible execution modes. It provides full automation for end-to-end processing, incremental progress for step-by-step execution, and single-skill invocation for isolated tasks.

The best way to analyze community feedback is to state your intent to an orchestration Skill, which then automatically manages the full pipeline. It collects relevant platform data, cleans it, performs sentiment and topic analysis, and generates a comprehensive research report.

Intelligent skill selection for multi-stage data analysis works by evaluating your stated intent and current project state. The orchestrator automatically determines the required data collection, cleaning, and analysis steps, then sequences the appropriate specialized Skills to execute the pipeline.

No, you do not need to manually manage dependencies between data analysis scripts. The research orchestration pipeline automatically handles dependencies between sequenced Skills and manages project states throughout the entire data collection and analysis process.