discovery-phase

Execute multi-depth technical research and generate DISCOVERY.md reports.

Updated Feb 13, 2026

Search Tags:#decision making #documentation #research #discovery #context7 #technology evaluation

Ready to run

npx skills add https://github.com/bhanukushwah/parinaya-os --skill discovery-phase-bhanukushwah

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: discovery-phase
Source: https://github.com/bhanukushwah/parinaya-os/tree/main/.kilocode/skills/discovery-phase
Command: npx skills add https://github.com/bhanukushwah/parinaya-os --skill discovery-phase-bhanukushwah

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the process of researching and understanding new technologies, libraries, or architectural patterns, ensuring informed decision-making.

Core Features & Use Cases

Multi-level Discovery: Supports quick verification, standard research, and deep dives into technical topics.
Context-Aware Research: Prioritizes internal knowledge bases (Context7) before resorting to web searches.
Use Case: When deciding between two new JavaScript frameworks, this Skill can quickly compare their features, performance, and community support, providing a DISCOVERY.md report to guide the choice.

Quick Start

Execute a standard depth discovery for the 'react-router' library.

Frequently Asked Questions about discovery-phase

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

FAQPage Schema

How do I research and compare new technologies for architectural decision making?▼

To research new technologies for decision making, you can automate a multi-depth discovery process that evaluates libraries and architectural patterns, prioritizing internal knowledge bases before web searches to generate a comprehensive decision report.

What is the best way to document technical research for a project?▼

The best way to document technical research is to generate a structured DISCOVERY.md report. This captures the evaluation of technology choices, community support, and architectural patterns to inform and guide your project planning effectively.

How does context-aware technology evaluation work with internal knowledge bases?▼

Context-aware technology evaluation works by prioritizing internal knowledge bases like Context7 during the discovery process. It queries these internal resources first to gather existing documentation before resorting to external web search tools for missing information.

Can I perform a quick verification of a library without running a deep dive analysis?▼

Yes, you can perform a quick verification. The discovery process supports multiple depth parameters, allowing you to choose a quick check, standard research, or a full deep dive depending on your specific technical evaluation needs.

Does the discovery research process support comparing two JavaScript frameworks?▼

Yes, the discovery research process supports comparing JavaScript frameworks. It evaluates features, performance metrics, and community support, consolidating the findings into a DISCOVERY.md report to guide your technology selection and planning.