Researching Features

Feature research guides you through interviewing requirements, evaluating APIs and services using official documentation, comparing top options with rationale, and generating a detailed implementation plan. It documents endpoints, authentication, setup steps, error handling, and usage considerations in a saved plan file for reference during development.

Scoping a feature starts with clarifying requirements through structured interviews, then researching candidate APIs and services to identify the best fit. Feature research produces a comprehensive plan that captures the chosen solution's technical details, dependencies, and integration steps, reducing uncertainty and rework during implementation.

Yes. Feature research evaluates multiple APIs and services against your requirements, presents the rationale for each option, and recommends the top candidates. It prioritizes solutions based on fit and feasibility, then documents the chosen approach with full technical specifications for implementation.

Feature research generates a structured implementation plan saved to `.claude/plans/plan-feature-<name>.md` containing endpoints, authentication methods, setup instructions, error handling strategies, and usage considerations for your chosen API or service.

Feature research includes interview-driven discovery to gather missing details when requirements are unclear. It asks targeted questions to uncover dependencies, constraints, and preferences, then uses those answers to research and recommend appropriate APIs and services for your use case.

Feature research applies to product discovery, feature scoping, and API/service evaluation across different domains. It uses official API documentation to identify options, though the specific services researched depend on your feature requirements and the availability of documentation in the research context.