// 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.
| name | oracle-actionizer |
| description | 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. |
Convert abstract guidance into concrete tasks users can actually complete.
guidance_texttime_horizon (today/this-week/this-month)user_constraints (optional)Return 3-5 tasks in this shape:
taskwhendurationnoteAlso include:
priority_orderfirst_step_under_10_minOrchestrate 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.
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.
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.