Bazi (Four Pillars of Destiny) divination skill for birth chart analysis and Chinese astrology. Use when users request fortune telling based on birth date/time or Chinese metaphysics.
This skill provides a complete Bazi (Four Pillars of Destiny) analysis system, enabling AI agents to compute and interpret a person's birth chart based on their date and time of birth. It processes the Stems and Branches, Five Elements, and other Chinese metaphysical concepts to generate a detailed divination reading. The skill supports multiple platforms including Claude Code, Cursor, and Codex, making it versatile for various development environments. By integrating this skill, an AI agent can respond to user queries about fortune telling, annual forecasts (流年), and life path analysis (大運) in a structured and culturally accurate manner.
npx skills add https://github.com/wolke/bazi-mingli/tree/main/skills/bazi-mingliInstalled? Explore more Research & Data Analysis skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
Bazi (Four Pillars of Destiny) divination skill. Use when users request birth chart analysis, fortune telling based on birth date/time, or Chinese astrology. Triggers on: 八字, 四柱, 命盤, 排盤, 算命, 命理, 生辰八字, 天干地支, 五行, 流年, 大運, bazi, four pillars, Chinese astrology, birth chart.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.