research-orchestrator

Name: research-orchestrator
Availability: InStock
Author: anserindicus

Orchestrate multi-stage community research pipelines by sequencing specialized Skills.

1|Updated Mar 5, 2026

Search Tags:#automation #research #orchestration #data analysis #pipeline #community feedback

Ready to run

npx skills add https://github.com/anserIndicus/community-research-skills --skill research-orchestrator-anserindicus

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: research-orchestrator
Source: https://github.com/anserIndicus/community-research-skills/tree/main/research-orchestrator
Command: npx skills add https://github.com/anserIndicus/community-research-skills --skill research-orchestrator-anserindicus

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the entire community research process, from data collection to report generation, by intelligently selecting and sequencing other specialized Skills.

Core Features & Use Cases

End-to-End Automation: Manages the full pipeline of data collection, cleaning, analysis, and output generation.
Intelligent Skill Selection: Automatically determines the necessary steps and Skills based on user intent and current project state.
Flexible Execution Modes: Supports full automation, incremental progress, and single-skill execution.
Use Case: A product manager wants to understand user sentiment about a new feature. They can simply state their intent, and this Skill will handle collecting data from relevant platforms, cleaning it, analyzing sentiment and topics, and finally generating a comprehensive research report.

Quick Start

Use the research orchestrator skill to help me research how users feel about the new app update.

Frequently Asked Questions about research-orchestrator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I automate a community research pipeline from data collection to report generation?▼

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.

Can I run a single step of a research pipeline instead of full end-to-end automation?▼

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.

What is the best way to analyze community feedback about a new product feature?▼

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.

How does intelligent skill selection work for multi-stage data analysis?▼

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.

Do I need to manually manage dependencies between different data analysis scripts?▼

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.