When should I use the Feature Research skill?

Use this skill after requirements are defined but before writing production code, specifically when technical feasibility, integration points, or the 'how' of implementation are unclear.

What is the primary output of this skill?

The primary output is a comprehensive findings document (findings.md) detailing design decisions, integration points, technical considerations, and POC results.

Does it create production-ready code during the POC phase?

No, POCs created by this skill are intended to be minimal and focused on validating core concepts, often using hardcoded data to test feasibility quickly.

Does this skill work with other Claude Code skills?

Yes, it is designed to take CDC.md files from the feature-specification skill as input and produce a findings document that serves as input for the implementation-planner skill.

How does it handle external documentation?

It utilizes the MCP Deep Wiki tool to search for and retrieve the latest framework-specific documentation, API capabilities, and recommended design patterns.

Feature Research & POC Lab

Name: Feature Research & POC Lab
Author: LaizyIO

byLaizyIO

생산성 및 워크플로

Conducts deep technical research and builds minimal proof-of-concepts to validate feature feasibility before implementation.

소개

The Feature Research skill streamlines the technical discovery phase by bridging the gap between high-level requirements and implementation. It systematically analyzes your existing codebase, consults live documentation via MCP Deep Wiki, and creates minimal proof-of-concepts (POCs) to validate architectural decisions. By documenting findings into a structured technical specification, it ensures that developers have a clear, validated roadmap before writing production code, significantly reducing technical debt and implementation rework.

주요 기능

Automated codebase integration and dependency analysis
Structured technical findings documentation (findings.md)
Live documentation lookup and best-practice research via MCP Deep Wiki
0 GitHub stars
Guided interactive POC creation to test technical feasibility
Standardized user questioning for clear architectural decision-making

사용 사례

Creating a minimal functional prototype to resolve technical uncertainty
Evaluating the integration points for a new third-party API or library
Validating a specific design pattern against the existing project architecture

소개

주요 기능

Automated codebase integration and dependency analysis
Structured technical findings documentation (findings.md)
Live documentation lookup and best-practice research via MCP Deep Wiki
0 GitHub stars
Guided interactive POC creation to test technical feasibility
Standardized user questioning for clear architectural decision-making

사용 사례

Creating a minimal functional prototype to resolve technical uncertainty
Evaluating the integration points for a new third-party API or library
Validating a specific design pattern against the existing project architecture