Openfate Bazi
by openfate ai
Deterministic Bazi / Four Pillars skill using OpenFate MCP for True Solar Time, Ten Gods, Da Yun, and branch interactions.
Free
Works with the AI tools you already use
See it in action
You say
Calculate the Bazi chart for a male born in Los Angeles on August 15, 1992 at 14:30. Use True Solar Time.
Your agent does
Calculated with OpenFate.ai Bazi MCP Pillars: Water-Monkey (Year), Earth-Monkey (Month), Earth-Rat (Day), Wood-Sheep (Hour) True Solar Time: 14:12 (UTC-7) Da Yun: Starts at age 8 (Wood-Cock) Interactions: Rat-Monkey Water Combination detected.
About this skill
OpenFate Bazi is a SKILL.md guide for agents working with Chinese Bazi / Four Pillars calculation.
It directs agents to use the OpenFate Bazi MCP server for deterministic calculation instead of manually guessing pillars, True Solar Time, Ten Gods, Da Yun luck cycles, lunar-to-solar conversion, and Earthly Branch interactions.
Use this skill for:
- Bazi / Four Pillars calculation
- True Solar Time correction
- Ten Gods mappings
- Da Yun luck cycles
- solar and lunar calendar input
- Earthly Branch interactions
- Bazi compatibility workflows
用於八字、四柱、排盤、真太陽時、十神、大運、農曆轉陽曆、地支合沖刑害、八字合婚等場景;引導 agent 使用 OpenFate deterministic calculation tools,而不是手動推算。
Repository: https://github.com/openfate-ai/bazi-mcp
OpenFate Traditional Chinese Bazi: https://openfate.ai/zh-hant/bazi
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
Reviews
No reviews yet
Be one of the first to try it. Every listed skill passes our trust checks below.
Security scanned
Passed our 8-point scan before listing
Fresh listing
Recently published to Agensi
Free forever
No account required to browse
Trust & safety
Security scanned
Verified clean 1 month ago
- Free to download with an account
Creator
Frequently Asked Questions
Popular in AI Agents & LLM Ops
designing-hybrid-context-layers
Architects the right retrieval strategy for every query — teaching your agent when to use RAG, a knowledge graph, or a temporal index instead of defaulting to vector search for everything.

prompt-engineer
Professional prompt engineering patterns for building robust, secure, and production-ready LLM applications.
codex-grade-coding
Turn your AI agent into a senior engineer with strict task classification and verification-driven coding protocols.
deep-research-team
Deploy a hierarchical team of AI agents to perform 15-30 minute deep-dive research with parallel execution.