qimen-dunjia

Generate structured Qimen Dunjia chart analysis with Python-based calculations.

924|164|Updated Mar 25, 2026
One-click install
npx skills add https://github.com/FANzR-arch/Numerologist_skills --skill qimen-dunjia
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: qimen-dunjia
Source: https://github.com/FANzR-arch/Numerologist_skills/tree/main/qimen-dunjia
Command: npx skills add https://github.com/FANzR-arch/Numerologist_skills --skill qimen-dunjia

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires lunar_python, tzdata, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill turns Qimen Dunjia inquiries into a structured consultation workflow, helping users avoid vague guessing, skipped steps, and inconsistent chart interpretation.

Core Features & Use Cases

  • Structured interview first: Collects the question, timing, location, and decision goal before any chart is read.
  • Deterministic chart calculation: Uses a Python script to handle fixed calculations instead of relying on improvised mental parsing.
  • Rule-bound interpretation: Explains the chart with a fixed ruleset, clear defaults, and explicit warnings for edge cases.
  • Common use cases: Formal chart reading, timing selection, direction choice, risk awareness, and teaching Qimen concepts with examples.

Quick Start

Ask the skill to analyze your specific Qimen Dunjia question and provide the time, city, and outcome you care about so it can gather the required details and produce a structured reading.

Frequently Asked Questions about qimen-dunjia

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

FAQPage Schema
How do I get a structured Qimen Dunjia chart reading for a specific decision?

To get a structured Qimen Dunjia chart reading, you provide your specific question, timing, location, and decision goal. The workflow conducts a structured interview first, then uses deterministic Python calculation to generate rule-bound interpretation with explicit guidance.

Can I use Python script calculation for Qimen Dunjia timing selection instead of manual parsing?

Yes, you can use Python script calculation for Qimen Dunjia timing selection instead of manual parsing. The deterministic script handles fixed calculations for chart generation, avoiding improvised mental parsing and ensuring consistent timing selection results.

What details do I need to provide for a Qimen Dunjia directional guidance analysis?

For Qimen Dunjia directional guidance analysis, you need to provide the specific question, desired timing, location or city, and the outcome you care about. This structured interview input ensures accurate chart calculation and rule-bound directional choice interpretation.

Does this Qimen Dunjia interpretation approach handle edge cases and warnings?

Yes, this Qimen Dunjia interpretation approach handles edge cases and warnings. It applies a fixed ruleset with clear defaults and explicit warnings for edge cases during chart reading, ensuring consistent and structured guidance rather than vague guessing.

What is the best way to learn Qimen Dunjia concepts with structured examples?

The best way to learn Qimen Dunjia concepts with structured examples is through formal chart reading workflows. This approach provides rule-bound interpretation, deterministic calculation, and structured guidance to teach theory with practical examples.

Why does Qimen Dunjia chart interpretation require a structured interview first?

Qimen Dunjia chart interpretation requires a structured interview first to collect the question, timing, location, and decision goal before any chart is read. This prevents skipped steps, vague guessing, and inconsistent chart interpretation during the analysis.