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learnwithu/mingli-master

紫微斗数命盘解读 skill · 基于 iztro-py 精确排盘,生成可视化命盘 HTML

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Verified commit 000da99552cdfdbdfde49f6e76b014515b8ea51c

777GitHub stars
6stars in 7 days
1skill in this repository
0commits in 30 days

Heat

5.0
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  • Star growth, last 24 hoursNot available
  • Rank movement, last 7 daysNot available
  • Commits, last 30 daysNot available
  • Accounts asking about it through MCP, last 7 daysNot available
  • Hot votes this weekNot available

Heat never changes the order by stars, and sponsorship never touches it. How heat works

Stars over time

Aug 2, 2026Nov 6, 2026777

Individual skills in this repository

How it works

命理解读师

When your agent uses it

紫微斗数命盘解读 V2:输入生辰信息,精确排盘并生成可视化命盘解读报告(HTML)。支持格局量化仪表盘、空宫借星标记、流年时空压力热力表,双主题(典藏/赛博)可切换。融合紫微三合派、中州派和手相互证的方法论。当用户提到算命、命盘、紫微斗数、排盘、命理、八字、运势、看命、生辰分析时触发。也适用于用户说「帮我看看命盘」「算一下」「排个盘」「看看运势」的场景。即使用户只是说「帮我分析一下我的性格/事业/感情」,只要上下文暗示需要命理分析,也应该触发。

What it loads into context

Frontmatter

195 tokens

Always available to the agent

SKILL.md

3,876 tokens

When the skill is activated

Reference documents

7,728 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

  1. 核心原则
  2. 禁忌
  3. 依赖
  4. 工作流程
  5. 校准机制
  6. 输出格式
  7. V2 自动增强组件
  8. 参考文件
  9. 完整示例流程
  10. 文件结构

Scripts executed separately

  • scripts/calculate_chart.py
  • scripts/calibration.py
  • scripts/generate_html.py
  • scripts/gezhi_rules.py

Files

  • .DS_Storeasset10,244 bytes
  • .gitignoreasset54 bytes
  • LICENSEasset1,073 bytes
  • README.mddoc9,283 bytes
  • SKILL.mdcore12,573 bytes
  • SKILL.mdcore12,573 bytes
  • SKILL.mdcore12,573 bytes
  • SKILL.mdcore12,573 bytes
  • SKILL.mdcore12,573 bytes
  • assets/musk-mingpan.jpgasset1,868,657 bytes
  • references/four_hua_reference.mddoc3,630 bytes
  • references/interpretation_guide.mddoc3,116 bytes
  • references/stars_reference.mddoc8,466 bytes
  • scripts/calculate_chart.pyruns7,925 bytes
  • scripts/calibration.pyruns6,756 bytes
  • scripts/generate_html.pyruns17,395 bytes
  • scripts/gezhi_rules.pyruns19,471 bytes
  • templates/chart_template.htmlasset23,508 bytes
Read SKILL.md

# 命理解读师 V2

紫微斗数命盘解读 skill。将人的先天时空信息符号化,取象推演,解读生命轨迹。

> **V2 新增**:格局量化仪表盘(第 0 章)· 空宫借星与能量降阶标记 · 流年时空压力热力表(第 6 章)· `--year` 指定任意流年 · 双主题切换

## 核心原则

- **象由心生,命由象推**——不是预言,是概率地图
- **三合为经,中州化忌为纬,手相为实物锚点**
- **算命是对话,不是表演**——沟通比技法更重要
- **命盘显示可能性,行动决定现实**

## 禁忌
View the complete source on GitHub

Skills included

  • 命理解读师

Repository facts

License
MIT
Created
Jun 2, 2026
Last pushed
Aug 15, 2026
Forks
105
Open issues
2
Project activity
Slowing

Rank over the last 12 weeks

Now #833 · best #716 · down 53 in 30 days

  1. #861 on Oct 16
  2. #830 on Oct 18
  3. #870 on Oct 19
  4. #869 on Oct 22
  5. #884 on Oct 23
  6. #833 since Oct 24
50 earlier periods
  1. #723 on Aug 2
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  4. #768 on Aug 10
  5. #769 from Aug 11 to Aug 12
  6. #772 on Aug 13
  7. #728 on Aug 15
  8. #746 on Aug 16
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  47. #847 on Oct 12
  48. #857 on Oct 13
  49. #867 on Oct 14
  50. #859 on Oct 15

Before you install

Local scripts

Automated signals, not a guarantee

Checked Nov 6, 2026

Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.

Show 4 notes
  • SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
  • SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
  • SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
  • SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
Show all 26 signals by file

README.md

  • Network accessline 7
    [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE)
  • Network accessline 8
    [![Agent Skills](https://img.shields.io/badge/Agent%20Skills-Standard-green)](https://agentskills.io)
  • Network accessline 9
    [![Python](https://img.shields.io/badge/Python-3.8+-blue)](https://python.org)
  • Network accessline 10
    [![iztro-py](https://img.shields.io/badge/Powered%20by-iztro--py%20%E2%89%A50.5-C8A96E)](https://github.com/spyfree/iztro-py)
  • Network accessline 42
    **[查看完整示例命盘 →](https://github.com/learnwithu/mingli-master/blob/main/assets/musk-mingpan.jpg)**
  • Network accessline 48
    命理解读师基于开放的 [Agent Skills](https://agentskills.io) 协议,可在任何 skills-compatible 的 AI agent runtime 中运行。
  • Network accessline 52
    命理解读师使用 [iztro-py](https://github.com/spyfree/iztro-py)(≥ 0.5.0)进行精确排盘计算,避免 LLM 排盘错误。使用前需要安装:
  • Network accessline 63
    帮我安装这个 skill:https://github.com/learnwithu/mingli-master
  • Network accessline 66
    或者用通用 CLI 安装器([vercel-labs/skills](https://vercel-labs/skills)):
  • Network accessline 81
    git clone https://github.com/learnwithu/mingli-master ~/.claude/skills/mingli-master/
  • Network accessline 184
    | 🎵 抖音 | 搜「与你同学 learn with you」(抖音号:learnwithyou) | | 📕 小红书 | 搜「与你同学 learn with you」(小红书号:learnwithyou) | | ✖<U+FE0F> X (Twitter) | [@learnwithyou_](https://x.com/learnwithyou_) |
  • Network accessline 185
    | 📕 小红书 | 搜「与你同学 learn with you」(小红书号:learnwithyou) | | ✖<U+FE0F> X (Twitter) | [@learnwithyou_](https://x.com/learnwithyou_) | | 📱 视频号 | 搜「与你同学 learnwithyou」 |
  • Network accessline 186
    | ✖<U+FE0F> X (Twitter) | [@learnwithyou_](https://x.com/learnwithyou_) |
  • Network accessline 194
    - **Rita** — V2 格局判定与量化系统(gezhi_rules)的主要共创者,感谢这份精彩的社区迭代 - [iztro](https://github.com/SylarLong/iztro) — 紫微斗数排盘 JavaScript 库(4000+ stars)
  • Network accessline 195
    - [iztro](https://github.com/SylarLong/iztro) — 紫微斗数排盘 JavaScript 库(4000+ stars)
  • Network accessline 196
    - [iztro-py](https://github.com/spyfree/iztro-py) — 纯 Python iztro 实现

scripts/calculate_chart.py

  • Executable scriptline 1
    #!/usr/bin/env python3

scripts/calibration.py

  • Executable scriptline 1
    Executable file

scripts/generate_html.py

  • Executable scriptline 1
    #!/usr/bin/env python3

scripts/gezhi_rules.py

  • Executable scriptline 1
    Executable file

templates/chart_template.html

  • Network accessline 5
    <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>命盘解读 · {{YEAR_STEM}}{{YEAR_BRANCH}}年{{HOUR_NAME}}</title> <link href="https://fonts.googleapis.com/css2?family=Noto+Serif+SC:wght@300;400;600;700&family=Ma+Shan+Z
  • Network accessline 6
    <title>命盘解读 · {{YEAR_STEM}}{{YEAR_BRANCH}}年{{HOUR_NAME}}</title> <link href="https://fonts.googleapis.com/css2?family=Noto+Serif+SC:wght@300;400;600;700&family=Ma+Shan+Zheng&display=swap" rel="stylesheet"> <style>
  • Network accessline 7
    <link href="https://fonts.googleapis.com/css2?family=Noto+Serif+SC:wght@300;400;600;700&family=Ma+Shan+Zheng&display=swap" rel="stylesheet">
  • Network accessline 48
    position: fixed;     inset: 0;     background-image: url("data:image/svg+xml,%3Csvg viewBox='0 0 256 256' xmlns='http://www.w3.org/2000/svg'%3E%3Cfilter id='noise'%3E%3CfeTurbulence type='fractalNoise' baseFrequency='0.9' numOctaves='4' sti
  • Network accessline 49
    inset: 0;     background-image: url("data:image/svg+xml,%3Csvg viewBox='0 0 256 256' xmlns='http://www.w3.org/2000/svg'%3E%3Cfilter id='noise'%3E%3CfeTurbulence type='fractalNoise' baseFrequency='0.9' numOctaves='4' stitchTiles='stitch'/%3E
  • Network accessline 50
    background-image: url("data:image/svg+xml,%3Csvg viewBox='0 0 256 256' xmlns='http://www.w3.org/2000/svg'%3E%3Cfilter id='noise'%3E%3CfeTurbulence type='fractalNoise' baseFrequency='0.9' numOctaves='4' stitchTiles='stitch'/%3E%3C/filter%3E%

How the signals fit together

Facts from a static read of the files at the pinned commit. They describe what the code does, not why.

Some files could not be read; the facts below still hold.

Signal confidence: 20 facts

Works with

Agent compatibility, from the files in this repository
AgentStatusEvidenceInstall to
Claude CodeUnknownNo evidence
CodexUnknownNo evidence
CursorUnknownNo evidence
Gemini CLIUnknownNo evidence
GitHub CopilotUnknownNo evidence
OpenCodeUnknownNo evidence
  • Native The repository ships a manifest, folder or frontmatter field for this agent.
  • Compatible A standard SKILL.md that this agent can read.
  • Unknown No evidence either way.

Derived automatically from paths, manifests and frontmatter. Not tested on each agent.