research

Analyze competitive landscape, technical feasibility, and market signals for a feature.

5|1|Updated Mar 9, 2026

Search Tags:#research #feature planning #competitive analysis #open-source #market validation

Ready to run

npx skills add https://github.com/tonitangpotato/rustclaw --skill research-tonitangpotato

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: research
Source: https://github.com/tonitangpotato/rustclaw/tree/main/skills/research
Command: npx skills add https://github.com/tonitangpotato/rustclaw --skill research-tonitangpotato

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill enables teams to quickly assess competitive landscapes, technical feasibility, and market demand for new features, reducing guesswork and aligning product decisions with evidence.

Core Features & Use Cases

Competitive landscape analysis: Compare competitors, features, pricing, and sentiment.
Technical feasibility assessment: Review existing implementations, libraries, and architectural options.
Market validation signals: Compile user demand, forums, and GitHub trends to justify roadmap decisions.
Output-ready research reports: Produce structured documents with executive summary, findings, and recommendations.

Quick Start

Initiate a 20-30 minute research sprint against a new feature to generate a structured findings report.

Frequently Asked Questions about research

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

FAQPage Schema

How do I validate market demand for a new feature?▼

To validate market demand for a new feature, compile user demand signals, forums, and GitHub trends to justify roadmap decisions with structured market validation reports.

What is the best way to analyze the competitive landscape for feature planning?▼

Competitive landscape analysis for feature planning involves comparing competitors, features, pricing, and sentiment to align product decisions with evidence and reduce guesswork.

How do I assess technical feasibility for an open-source feature?▼

Assess technical feasibility by reviewing existing implementations, libraries, and architectural options to document technical research and evaluate open-source integration viability.

Can I generate a structured research report with a go/no-go recommendation?▼

Yes, you can generate a structured research report by assembling findings with citations, including an executive summary, detailed findings, and a final go/no-go recommendation.

How long does a research sprint take for feature validation?▼

A research sprint for feature validation takes 20-30 minutes to document competitive landscapes, technical feasibility, and market signals into a structured findings report.

What should I include in a technical feasibility assessment for a new feature?▼

A technical feasibility assessment should include codebase discovery, reviews of existing implementations and libraries, and architectural options to determine technical viability.