Generate evidence-based market research briefs with cited sources in Korean markdown.
npx skills add https://github.com/risingdream/roundtable --skill rt-research
Please help me install this Agent Skill. Skill: rt-research Source: https://github.com/risingdream/roundtable/tree/main/skills/core/rt-research Command: npx skills add https://github.com/risingdream/roundtable --skill rt-research
It eliminates the guesswork and fragmented evidence behind market and competitive decisions by consolidating web research into a traceable, structured briefing.
Ask the AI to run market research for a specific topic and save the resulting brief to docs/research in Korean.
High-intent search queries and answers about installing and using this skill.
To generate a structured market research brief, this Skill decomposes your topic into research questions, runs targeted web searches, deep-dives high-quality sources, and synthesizes findings into a traceable markdown report.
Yes, you can automate competitive analysis and risk assessment by running web-search driven discovery workflows that require every claim to be traceable to cited URLs and explicitly flag data gaps or conflicts.
The best way to map a competitive landscape and estimate market size is to synthesize evidence from high-quality web sources, summarizing key players, TAM/SAM/SOM data points, and recent developments into a structured briefing.
Yes, this market research workflow outputs Korean text and explicitly writes the structured markdown output to the docs/research/[topic-slug].md file path for local storage.
During data synthesis, missing or conflicting data points are handled explicitly by flagging gaps and conflicts in the available evidence rather than guessing, ensuring the final market brief remains evidence-first.
You need a structured market brief for evaluating a startup opportunity when you require a consolidated overview of key players, last-6-month developments, and major risks to inform your debate and positioning.
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