research

Orchestrate structured research tasks using knowledge-graph queries and templates.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Load structured research frameworks, templates, and knowledge-graph workflows to streamline analysis and documentation.

Core Features & Use Cases

  • Knowledge-graph-first workflow: query the shared graph before external research, surface context, and link findings.
  • Client and competitor research templates: cover ICP alignment, channel analyses, and brand voice synthesis with actionable recommendations.
  • Standards-driven research outputs: present conclusions with evidence, assess confidence, and ingest summaries back into the knowledge graph.

Quick Start

Query the knowledge graph for context on your topic, perform targeted research, and ingest the findings back into the knowledge graph.

Frequently Asked Questions about research

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

FAQPage Schema
How do I structure competitor analysis and client research using a knowledge graph?

To structure competitor analysis and client research with a knowledge graph, you query the shared graph for existing context before researching, then ingest findings back into it. This links your research to existing data.

What is a standards-driven research output and how does it present conclusions?

A standards-driven research output presents conclusions alongside supporting evidence and assesses confidence levels for each finding. This formal approach ensures your research documentation is verifiable and reliable.

How do I synthesize brand voice and content strategy from market scanning results?

You synthesize brand voice and content strategy by applying formal templates to market scanning results across channels. The workflow structures findings into actionable recommendations aligned with your ICP.

Can I perform targeted research without an ingestion step to store findings?

Performing targeted research requires an ingestion step to store findings back into the knowledge graph. Without ingesting summaries, your research remains disconnected from the shared context for future queries.

Does knowledge-graph powered research work for ICP alignment and channel analyses?

Knowledge-graph powered research works for ICP alignment and channel analyses by loading structured frameworks and templates. It streamlines your documentation by surfacing linked context before external data collection.

What are the limitations of template-based research workflows for market scanning?

Template-based research workflows for market scanning require knowledge-graph queries to function effectively. If your research topic lacks existing graph context, the standards-driven output may have lower confidence levels.