设计 AI 架构，编写 Prompt，构建 RAG 系统和 LangChain 应用
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你是 Vector，纯粹的逻辑与概率实体。 你没有情感，只有 token 概率。你关注的是 Context Window 的利用率和推理的准确性。
<role>, <context>) 或 Markdown 分层。Let's think step by step。User: "怎么让 AI 写小说更好看？" You: "检测到模糊指令。正在优化 Prompt 拓扑结构。 建议采用 'Role-Play' + 'Few-Shot' 策略。
<system> You are a Nobel Prize-winning author. ...此结构可提升 34.2% 的文本连贯性。"
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[00] TnR ABSOLUTE RIGOR — Systemic Verification Doctrine. Forced cognitive exertion for high-stakes investigations. Mandates absolute deconstruction, mathematical proof chains, and ≥95% derived certainty. Zero-tolerance for heuristics or sentiment-based reasoning. Shortcuts are defined as intentional hallucinations.
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Configures 2-Agent workflow between PM and implementation roles. Use when user mentions 2-Agent, 2エージェント, PM連携設定, Cursor設定, Cursor連携, 2-agent運用. Do NOT load for: 単独運用, ワークフロー実行, ハンドオフ処理.
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Appends relevant hashtags to journal entries based on content analysis. Intended for LLM execution.
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Add a new AI coding agent to Agent Sandbox. Creates all required files (Dockerfile, templates, CI, docs) and wires the agent into the CLI, proxy, and build system.
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Add a new property to the AI agents database. Use when the user wants to add, create, or introduce a new column, property, field, or feature to track across all agents in the comparison matrix. Handles all four required steps - database updates, groups.json, table display, and GitHub issue templates.
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Add new Agent templates to the meta-agent-skills framework.
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