discovery-phase

Automate discovery workflows to generate DISCOVERY.md for planning.

17|4|Updated Oct 8, 2021
One-click install
npx skills add https://github.com/virtengine/virtengine --skill discovery-phase-virtengine
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: discovery-phase
Source: https://github.com/virtengine/virtengine/tree/main/.github/skills/discovery-phase
Command: npx skills add https://github.com/virtengine/virtengine --skill discovery-phase-virtengine

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Discovery teams often struggle to align on priorities and architectures while lacking a structured, source-backed way to compare options. This skill provides a depth-aware discovery workflow that outputs a DISCOVERY.md to inform PLAN.md creation and ensures traceability of conclusions.

Core Features & Use Cases

  • Depth-controlled discovery levels (verify, standard, deep dive) to match time and risk constraints.
  • Automated generation of DISCOVERY.md that summarizes options, findings, and sources for plan-phase alignment.
  • Use Case: evaluating multiple libraries or integrations to produce a defensible, sourced comparison for architectural decisions.

Quick Start

Initiate a discovery run by selecting a depth level (verify, standard, or deep) to generate a DISCOVERY.md for planning.

Frequently Asked Questions about discovery-phase

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

FAQPage Schema
How do I automate library and integration evaluations for architectural decisions?

Automate library and integration evaluations by running a depth-aware discovery workflow that compares options using Context7 MCP, web search, and official docs to validate findings. It generates a DISCOVERY.md summarizing sourced options and confidence assessments for plan-phase alignment.

What is a DISCOVERY.md file and when do I need it for planning?

A DISCOVERY.md file is a structured document summarizing evaluated options, findings, sources, and confidence assessments. You need it when comparing libraries or integrations to ensure traceability of architectural conclusions and inform PLAN.md creation.

How do I control discovery depth when comparing library options?

Control discovery depth by selecting a specific level parameter: verify, standard, or deep dive. These depth-controlled levels match your time and risk constraints, ensuring the evaluation output aligns with the required architectural decision-making rigor.

Does the discovery workflow require Context7 MCP and web search to validate findings?

The discovery workflow requires Context7 MCP and web search to source and validate findings. It uses these tools alongside official documentation to compare options and ensure the output structure includes verifiable sources and a clear confidence assessment.

What's the best way to structure source-backed option comparisons for architecture alignment?

The best way to structure source-backed option comparisons is to generate a DISCOVERY.md with a clear output structure. It summarizes options, findings, and sources, providing a defensible comparison that ensures traceability of conclusions for architectural alignment.

Why does my architectural decision process lack traceability and defensible comparisons?

Your architectural decision process lacks traceability when it does not use a structured, source-backed discovery workflow. Automating this process produces a DISCOVERY.md that validates findings with Context7 and web sources, ensuring defensible comparisons and plan-phase alignment.