cynic-empirical

Guide structured multi-phase research before code development.

2|Updated Jan 14, 2026
One-click install
npx skills add https://github.com/zeyxx/CYNIC-legacy --skill cynic-empirical
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cynic-empirical
Source: https://github.com/zeyxx/CYNIC-legacy/tree/main/.claude/skills/cynic-empirical
Command: npx skills add https://github.com/zeyxx/CYNIC-legacy --skill cynic-empirical

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill ensures that all necessary research and analysis are completed before any code is written, preventing the loss of valuable insights and ensuring alignment with the project's core principles.

Core Features & Use Cases

  • Systematic Research Protocol: Guides users through five distinct research phases: Digest, Search, Patterns, Wisdom, and Ecosystem.
  • Knowledge Preservation: Ensures that no ideas or decisions from the existing codebase are overlooked.
  • Use Case: When starting a new feature, use this skill to thoroughly research existing solutions, philosophical underpinnings, and project status before writing a single line of code.

Quick Start

Use the cynic-empirical skill to research the implementation of a new authentication module.

Frequently Asked Questions about cynic-empirical

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

FAQPage Schema
What is pre-coding research and why do I need it before starting a new feature?

Pre-coding research is a structured analysis process to ensure comprehensive understanding and alignment with project axioms before writing any code. It prevents the loss of valuable insights and historical decisions from the existing codebase.

How do I conduct empirical research for code planning?

To conduct empirical research for code planning, follow a systematic five-phase protocol: Digest, Search, Patterns, Wisdom, and Ecosystem. This methodology integrates knowledge digestion, pattern detection, and ecosystem assessment.

What's the best way to preserve knowledge and analyze historical decisions in a codebase?

The best way to preserve knowledge is using a systematic research protocol that analyzes historical decisions and detects patterns during the pre-coding phase. This ensures no ideas from the existing codebase are overlooked.

Does this research methodology work for assessing a new authentication module?

Yes, this research methodology works for a new authentication module by guiding you through ecosystem assessment and philosophical grounding. It ensures you thoroughly research existing solutions and project status first.

Can I use this methodology without any external dependencies?

Yes, you can use this empirical research methodology without external dependencies. It operates as a standalone protocol requiring no specific frameworks or platforms to facilitate the pre-coding knowledge digestion process.