research

Consolidate research workflows and templates into a repeatable methodology.

Updated Apr 21, 2026
One-click install
npx skills add https://github.com/chriswestt/claude-skills --skill research-chriswestt
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research
Source: https://github.com/chriswestt/claude-skills/tree/main/research
Command: npx skills add https://github.com/chriswestt/claude-skills --skill research-chriswestt

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires yt-dlp, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This skill provides a repeatable research framework, templates, and best-practices to accelerate client and market analysis.

Core Features & Use Cases

  • Structured templates for client research, competitor analysis, and brand voice synthesis.
  • Knowledge graph integration to capture and reuse findings across projects.
  • Guided workflows for ICP alignment, research output standards, and concise deliverables.

Quick Start

Load the client research template and outline a baseline competitor analysis for the target market.

Frequently Asked Questions about research

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

FAQPage Schema
How do I streamline client research and competitor analysis workflows?

You can streamline client research by applying structured templates and guided workflows for ICP alignment, competitor analysis, and brand voice synthesis. This consolidates scattered processes into a repeatable research framework.

What is the best way to synthesize a brand voice from market research?

The best way to synthesize a brand voice is using structured templates designed specifically for brand voice extraction. These guided workflows standardize research output into concise deliverables aligned with client profiles.

Do I need YAML frontmatter to use research framework templates?

Yes, you need YAML frontmatter containing name and description fields to use these research framework templates. This metadata requirement drives the templates-driven workflow and integration points for client templates.

How does knowledge graph ingestion work for competitor analysis findings?

Knowledge graph ingestion captures competitor analysis findings to capture and reuse insights across projects. This integration allows structured research data to persist and inform future engagements within the framework.

Can I use yt-dlp for data collection in client research workflows?

Yes, yt-dlp is a required dependency for extracting video data to feed into your client research workflows. This media ingestion supports comprehensive competitor analysis and brand voice synthesis across engagements.

What are the limitations of template-driven research frameworks?

Template-driven research frameworks require strict adherence to YAML frontmatter specifications and predefined integration points. Deviating from these structural constraints limits knowledge graph ingestion and disrupts the repeatable methodology across engagements.