gsd-research-phase

Orchestrate specialized subagents to research implementation approaches and library options.

1|Updated Apr 4, 2026
One-click install
npx skills add https://github.com/nnexai/git-stacks --skill gsd-research-phase-nnexai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gsd-research-phase
Source: https://github.com/nnexai/git-stacks/tree/main/.github/skills/gsd-research-phase
Command: npx skills add https://github.com/nnexai/git-stacks --skill gsd-research-phase-nnexai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the problem of inefficient, manual technical investigation by automating the research process for specific project phases, ensuring that implementation decisions are backed by verified, up-to-date architectural patterns.

Core Features & Use Cases

  • Automated Research Orchestration: Spawns specialized subagents to investigate implementation approaches, libraries, and potential pitfalls.
  • Context-Aware Investigation: Integrates existing requirements, project state, and phase context to provide highly relevant, non-exploratory technical guidance.
  • Use Case: When starting a new development phase, use this skill to generate a comprehensive research document that outlines the standard stack, architecture patterns, and common pitfalls to avoid, ensuring the team builds on solid ground.

Quick Start

Use the gsd-research-phase skill to research the implementation approach for phase 02.

Frequently Asked Questions about gsd-research-phase

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

FAQPage Schema
How do I automate technical research for a specific software development phase?

To automate technical research for a development phase, use this skill to orchestrate specialized subagents that investigate implementation approaches, evaluate libraries, and assess risks based on your project context.

What is automated architectural discovery and how does it validate implementation strategies?

Automated architectural discovery validates implementation strategies by spawning subagents to analyze existing project documentation and roadmap data, generating prescriptive research outputs with up-to-date architectural patterns.

How do I generate a research document outlining standard stack and common pitfalls for a new project phase?

Generate a research document for a new project phase by integrating existing requirements and phase context into the skill, which then outputs validated architecture patterns, standard stack selections, and pitfalls to avoid.

Do I need existing roadmap data and project documentation to run context-aware technical research?

Yes, context-aware technical research requires integration with existing roadmap data and project documentation to provide highly relevant, non-exploratory technical guidance and validated implementation strategies.

Can I use this automated research approach for library selection and risk assessment?

Yes, you can use this automated research approach for library selection and risk assessment, as it orchestrates specialized subagents to investigate potential pitfalls and verify architectural patterns for your workflow.

What are the limitations of using automated subagents for project phase research?

A limitation of automated subagent research is its dependency on existing roadmap data and project documentation; without accurate integration, it cannot provide the non-exploratory technical guidance required for valid implementation strategies.