research-workflow

Name: research-workflow
Availability: InStock
Author: KunCheng-He

Orchestrate multi-stage product research with parallel data collection and structured report generation.

8|3|Updated Apr 18, 2026

Search Tags:#research #workflow-automation #market-research #competitive-intelligence #data-collection #product-analysis

Ready to run

npx skills add https://github.com/KunCheng-He/kk-ai --skill research-workflow-kuncheng-he

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: research-workflow
Source: https://github.com/KunCheng-He/kk-ai/tree/main/skills/shared/research-workflow
Command: npx skills add https://github.com/KunCheng-He/kk-ai --skill research-workflow-kuncheng-he

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the fragmentation and inefficiency in product research by providing a structured, repeatable workflow that handles everything from data collection to final report generation.

Core Features & Use Cases

Automated Research Pipeline: Orchestrates a multi-stage process including product identification, parallel data collection, and structured reporting.
Intelligent Task Scheduling: Dynamically routes tasks between static web fetching and browser-based interaction to ensure data integrity.
Use Case: When tasked with analyzing a new AI tool, this skill automatically gathers official documentation, community sentiment from platforms like Reddit and V2EX, identifies key competitors, and compiles a professional, evidence-backed research report.

Quick Start

Initiate a comprehensive product research workflow for the specified product by providing the target product name and the desired output directory to the research-workflow skill.

Frequently Asked Questions about research-workflow

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

FAQPage Schema

How do I automate product research and competitive intelligence gathering?▼

Automated product research uses a multi-stage workflow to orchestrate parallel data collection and generate structured, evidence-backed reports. It dynamically routes tasks between static web fetching and browser interaction to ensure data integrity.

What is the best way to structure market research for evidence-based reporting?▼

Structured market research applies a repeatable workflow handling product identification, parallel data collection, and automated report generation. This approach ensures source verification and compiles professional, evidence-backed research outputs across diverse domains.

Can I gather community sentiment from platforms like Reddit during product analysis?▼

Yes, product analysis workflows can gather community sentiment from platforms like Reddit and V2EX. The process identifies key competitors and collects community feedback alongside official documentation to provide a comprehensive product overview.

How does automated competitive benchmarking handle data collection across different technical domains?▼

Automated competitive benchmarking handles data collection by dynamically routing tasks between static web fetching and browser-based interaction. This ensures data integrity across diverse technical and consumer domains during the research pipeline.

Do I need to provide specific output directories to initiate a research workflow?▼

Yes, you need to provide the target product name and the desired output directory to initiate the comprehensive product research workflow. This allows the automated pipeline to properly store the generated structured reports and collected data.

When should I use an automated research pipeline instead of manual market analysis?▼

Use an automated research pipeline when facing fragmentation and inefficiency in product research. It provides a structured, repeatable workflow that handles end-to-end data collection and report generation, replacing manual market analysis efforts.