Researching Features

Research new features and compile implementation plans with API recommendations.

Updated Jan 18, 2026

Search Tags:#implementation planning #API integration #feature research #service discovery #convex development

Ready to run

npx skills add https://github.com/mxpln/radar --skill researching-features-mxpln

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: Researching Features
Source: https://github.com/mxpln/radar/tree/main/.claude/skills/feature-research
Command: npx skills add https://github.com/mxpln/radar --skill researching-features-mxpln

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires context7, mcp-api, python>=3.8, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill addresses the challenge of conducting comprehensive feature research, guiding users through the process of identifying the best API/service for their needs and saving detailed implementation plans.

Core Features & Use Cases

User Interview: Gathers essential details on the user's feature requirements.
API/Service Discovery: Leverages context7 to recommend top API/services.
Implementation Notes: Documents setup, endpoints, usage patterns, and more.
Plan Saving: Creates a detailed .claude/plans file for easy reference.

Quick Start

Request feature research by saying, "I need to add a live chat feature. Can you help research it for me?"

Frequently Asked Questions about Researching Features

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

FAQPage Schema

How do I research and document API integration for a new feature?▼

This Skill streamlines API integration research by gathering your feature requirements through interviews, discovering suitable APIs via context7, and saving comprehensive implementation plans including setup and endpoint details.

What is the best way to create an implementation plan for real-time database and serverless function integration?▼

Creating an implementation plan for real-time database and serverless functions involves documenting API endpoints, usage patterns, and setup configurations, which this Skill compiles into a detailed .claude/plans file for easy reference.

Does this feature research tool require Python and context7 to discover APIs?▼

Yes, discovering APIs and services with this Skill requires Python 3.8 or higher and the context7 dependency to leverage real-time database and serverless function integration capabilities effectively.

Can I use this to evaluate and compare different service options for convex development?▼

Yes, you can use this Skill to evaluate and compare service options for convex development by leveraging the context7 component to recommend top APIs and services tailored to your specific feature requirements.

How do I save implementation notes and API recommendations for future reference?▼

To save implementation notes and API recommendations, this Skill generates a detailed .claude/plans file that documents setup instructions, endpoints, and usage patterns for your feature research.