Provide templates and workflow guidance for structured technology research.
npx skills add https://github.com/withakay/research --skill ito-research
Please help me install this Agent Skill. Skill: ito-research Source: https://github.com/withakay/research/tree/main/.opencode/skills/ito-research Command: npx skills add https://github.com/withakay/research --skill ito-research
The Ito Research Skill helps users conduct in-depth research on technologies, features, and design patterns, addressing challenges in technology evaluation, feature development, and problem-solving.
To initiate research, save your topic in the Ito directory: ito path ito-root research/{{topic}}
High-intent search queries and answers about installing and using this skill.
Technology evaluation research for stack selection is structured using provided templates that guide you through assessing stack options, evaluating trade-offs, and considering long-term maintenance. These templates ensure a systematic comparison of different technical solutions.
Architecture research is best documented using structured templates designed for capturing design considerations, trade-offs, and integration points. This approach ensures all critical architectural decisions are recorded systematically for future reference and team alignment.
Feature landscape analysis allows you to map competitors' features and prioritize them based on user value and effort. The research workflow provides templates to guide this analysis, ensuring a structured approach to feature planning and competitive positioning.
Yes, the research workflow includes specific templates for security and scale reviews to analyze security vulnerabilities and scaling issues. This ensures that architecture research comprehensively covers potential growth and threat scenarios alongside functional requirements.
To synthesize research findings into actionable recommendations, the workflow provides synthesis templates that combine outputs from technology evaluation, feature analysis, and architecture design. This process transforms raw research data into clear, decision-ready suggestions.
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