菜单
Produce short-term MeiHua YiShu analysis for concrete near-term events, including reframed question, tendency, key variables, do/donot guidance, and contingency actions. Use for today/this-week event decisions and tactical consultation.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | oracle-meihua-agent |
| description | Produce short-term MeiHua YiShu analysis for concrete near-term events, including reframed question, tendency, key variables, do/donot guidance, and contingency actions. Use for today/this-week event decisions and tactical consultation. |
Analyze near-term event tendency and provide practical response strategy.
questiontime_window (required; infer if missing)context (optional)Use this section order:
Transform oracle guidance into concrete, calendar-ready tasks with suggested time windows, effort level, and practical notes. Use after ZiWei/MeiHua/Tarot outputs when users need execution plans.
Orchestrate DeepSeek Oracle multi-agent workflows by routing user intents to specialist oracle skills, enforcing safety gates, and composing one unified answer with follow-up questions and action items. Use when requests involve long-term ZiWei, short-term MeiHua, tarot, daily card, philosophy RAG, or mixed multi-domain queries.
Audit consistency of repeated long-line oracle outputs and diagnose drift causes across routing, retrieval, and generation settings. Use when validating long-term ZiWei responses, regression testing, or before release quality gates.
Compose daily oracle cards from profile, date context, and recent conversation themes using a fixed stable format. Use for daily home feed generation, ritual cards, and lightweight recurring guidance.
Convert retrieved philosophy or classics snippets into concise modern mindset guidance and practical reflection methods. Use when users need emotional reframing, growth-oriented interpretation, or RAG-backed meaning extraction.
Classify oracle inputs/outputs into risk levels and return allow, rewrite, or refuse policy with concrete constraints. Use before and after specialist-agent generation, especially for finance, medical, legal, violence, self-harm, or fear-marketing risks.