A comprehensive Chinese metaphysics skill that integrates four classical divination methods with an intelligent routing matrix and precise true solar time correction.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install comprehensive-divination-skill
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install comprehensive-divination-skill using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Comprehensive Divination Skill brings authentic, technically precise Chinese metaphysics systems directly into AI agent workflows. It unifies four pillars of classical fortune-telling and structural deduction: Xiao Liu Ren, Liu Yao Na Jia, Mei Hua Yi Shu, and Da Liu Ren. Rather than relying on rigid or inaccurate Western calendar lookups, this skill leverages native computational pipelines to handle real-world complexities like solar-term boundary shifts, lunisolar conversions, and localized astronomical adjustments.
At its core, the skill features a sophisticated four-dimensional routing matrix that evaluates user queries across dimensions of complexity, decision weight, time-sensitivity, and domain expertise. This ensures that the optimal metaphysics engine is applied to each unique scenario. Built to be resilient and developer-friendly, it features zero-network fallback modes, deterministic Python math engines, and localized geo-caching to deliver hyper-accurate Ganzhi (Stem-Branch) alignments under Openclaw Skills.
Ensure your agent runtime environment is initialized. Note that Windows environments should lock the compatibility version to ensure structural stability.
# Bootstrap the embedded hermes virtual environment package manager
python -m ensurepip
# Install the strict computational dependencies
python -m pip install zhdate==0.1
# Alternative installation via standard project definitions
pip install -r requirements.txt
# Freeze current execution time and configure true solar calibrations for a specific target hub
python scripts/common.py --snapshot --city Chengdu
# Explicit execution targeting standard parameters derived from snapshot values
python scripts/xiao_liuren.py -m 5 -d 29 -t 8
The skill manages its underlying state, cache architecture, and contextual reference guidelines using a highly predictable layout:
SKILL.md - Primary operational rules, target keywords, configuration entry points, and execution instructions.scripts/ - Core Python business logic engines executing mathematics and system calculations.common.py - Core date-time translations, Beijing baseline handlers, and TST equations._geo_cache.json - Serialized file mapping geocoded string queries to raw float coordinates (git-ignored, populated locally).xiao_liuren.py / liuyao_yaogua.py / meihua_qigua.py / da_liuren.py - Specialized algorithmic code specific to individual methods.references/ - Static Markdown files housing structured lookups, Ganzhi rulesets, relational graphs, and output generation definitions.When initializing step operations, the common.py --snapshot pipeline outputs a highly-structured data matrix:
| Key Name | DataType | Context / Intent |
|---|---|---|
frozen_at |
String (ISO 8601) | The absolute frozen execution timestamp protecting boundary logic from system delays. |
bj_hour |
Integer | Absolute normalized Beijing time coordinates. |
ts_hour |
Float | Calibrated Local True Solar Time floating value representing the true position of the sun. |
shichen |
String | Character designation indicating the active structural Earthly Branch double-hour bracket. |
shichen_idx |
Integer | System array index tracking the exact mathematical double-hour slice (1-12). |
TST = Beijing Time + (Local Longitude - 120°) * 4 minutes, systematically recalculating cross-day or cross-hour border transitions.Loading
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