Interview requirements, research APIs via context7, and generate a .claude/plans file.
npx skills add https://github.com/nckhad/DLT --skill researching-features
Please help me install this Agent Skill. Skill: Researching Features Source: https://github.com/nckhad/DLT/tree/main/.claude/skills/feature-research Command: npx skills add https://github.com/nckhad/DLT --skill researching-features
Manually researching new features, APIs, and services, then compiling detailed implementation plans, is a time-consuming and complex process. This skill automates the entire workflow, from user requirements gathering to generating a structured .claude/plans file, saving significant development time.
context7 to identify the best 3 APIs/services matching user needs.plan-feature-live-chat.md file with all necessary implementation notes.Research the best API for adding real-time notifications to my app and create an implementation plan.
High-intent search queries and answers about installing and using this skill.
Feature research automates the process of identifying candidate APIs and services that match your requirements. It interviews you for specifics, uses context7 to discover the best 3 options, confirms your choice, and generates a detailed `.claude/plans` file with implementation notes, authentication details, and key endpoints—eliminating manual research.
Use feature research when adding new functionality to your application and need to evaluate multiple API options quickly. It's most valuable when you have a general feature goal—like adding live chat or real-time notifications—but haven't decided on a specific service yet. The skill handles discovery and comparison automatically.
The generated `.claude/plans` file contains official documentation summaries, key API endpoints, authentication methods, error handling strategies, and integration notes for your chosen service. This structured output provides everything needed to begin implementation without additional research.
Yes. Feature research proactively interviews you to clarify vague requests before discovering APIs. If you initially say something like 'add notifications to my app,' it will ask about real-time vs. batch, delivery channels, and scale requirements to narrow the search to the most relevant options.
Feature research requires Python 3.8 or later and depends on context7 for API discovery. Your project should have a `.claude` directory structure where the generated plans file will be saved. No other setup is needed before starting a research request.
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