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Four Pillars Chart Master

Life Service Updated 2026.08.30

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About this skill

Problem

Four Pillars readings often collapse into black-box claims: unsupported verdicts, copied ancient warnings, pseudo-precise dates, or fatalistic framing. For engineers, the skill needs inspectable rules, reproducible chart generation, and constrained output.

How It Works

  • Automatic charting: after birth date, hour, and gender are provided, it can call scripts/paipan.py to produce a structured JSON report; existing chart reports can also be consumed directly.
  • School constraints: it follows the Zi Ping regular-pattern framework, prioritizing pattern preferences, climate balancing, and day-master strength, while avoiding mixing unrelated schools.
  • Scenario templates: responses are routed into overview, career, wealth, marriage, health, study, major cycles, or compatibility rather than dumping every domain at once.
  • Semantic translation: classical phrases are translated into modern life guidance, such as interpreting marital fragility as timing, observation, and communication risk instead of fear-based verdicts.

Boundaries

This is better treated as a structured cultural-reasoning tool: it does not apply true solar time correction, has limited shensha coverage, avoids medical diagnosis, and should not drive high-stakes decisions like quitting, divorce, or large investments. Treat outputs as probability windows, not certainties.

Use Cases

  • Input a birth date and hour into the script to generate a JSON chart, then request a structured career or wealth reading.
  • When a user provides a complete chart JSON, extract day master, month branch, pattern preferences, and interactions to explain the overall chart.
  • Translate classical marriage verdicts into modern advice, such as explaining early-marriage risk and observation period instead of fear-based claims.
  • Assess the current major cycle or yearly luck window to highlight likely timing and focus areas without claiming exact dates.

Best For

  • Career planners who want Zi Ping pattern-based analysis but reject opaque mysticism and unsupported verdicts.
  • Compatibility seekers who want to compare marriage palaces, interactions, and yearly windows without fear-based phrasing.
  • Developers who need to call `scripts/paipan.py` for JSON chart output and explain the chart structure in readable language.
  • Editors writing Bazi education who need to translate classical verdicts into modern advice while preserving reasoning.