diff --git a/server/src/assessment/entities/question-bank-item.entity.spec.ts b/server/src/assessment/entities/question-bank-item.entity.spec.ts
new file mode 100644
index 0000000..16ca2ad
--- /dev/null
+++ b/server/src/assessment/entities/question-bank-item.entity.spec.ts
@@ -0,0 +1,85 @@
+import { QuestionBankItem, QuestionType, QuestionDifficulty, QuestionDimension, QuestionBankItemStatus } from './question-bank-item.entity';
+
+describe('QuestionBankItem entity', () => {
+  describe('existing fields', () => {
+    it('should create an instance with default questionType', () => {
+      const item = new QuestionBankItem();
+      expect(item.questionType).toBeUndefined();
+    });
+
+    it('should set and get basic fields', () => {
+      const item = new QuestionBankItem();
+      item.questionText = '【场景】你在编写代码... 【问题】请描述你会如何处理';
+      item.questionType = QuestionType.SHORT_ANSWER;
+      item.options = null;
+      item.correctAnswer = null;
+      item.keyPoints = ['规范文档化', '源头统一'];
+      item.difficulty = QuestionDifficulty.STANDARD;
+      item.dimension = QuestionDimension.PROMPT;
+      item.basis = '知识库原文依据';
+      item.status = QuestionBankItemStatus.PENDING_REVIEW;
+
+      expect(item.questionText).toBe('【场景】你在编写代码... 【问题】请描述你会如何处理');
+      expect(item.questionType).toBe(QuestionType.SHORT_ANSWER);
+      expect(item.options).toBeNull();
+      expect(item.correctAnswer).toBeNull();
+      expect(item.keyPoints).toEqual(['规范文档化', '源头统一']);
+      expect(item.difficulty).toBe(QuestionDifficulty.STANDARD);
+      expect(item.dimension).toBe(QuestionDimension.PROMPT);
+      expect(item.basis).toBe('知识库原文依据');
+      expect(item.status).toBe(QuestionBankItemStatus.PENDING_REVIEW);
+    });
+  });
+
+  describe('judgment field', () => {
+    it('should accept judgment text for choice question', () => {
+      const item = new QuestionBankItem();
+      item.judgment = 'B正确，因为提供了具体约束和角色设定。A错误在于过于笼统。C错误在于过度细节但缺乏核心约束。D错误在于错误建议。';
+      expect(item.judgment).toBe('B正确，因为提供了具体约束和角色设定。A错误在于过于笼统。C错误在于过度细节但缺乏核心约束。D错误在于错误建议。');
+    });
+
+    it('should accept judgment text for open question', () => {
+      const item = new QuestionBankItem();
+      item.judgment = '关键考点：会话管理——长对话导致上下文窗口膨胀 通过标准：说出"让AI总结之前内容+开新窗口"即通过';
+      expect(item.judgment).toContain('通过标准');
+      expect(item.judgment).toContain('会话管理');
+    });
+
+    it('should allow null judgment', () => {
+      const item = new QuestionBankItem();
+      item.judgment = null;
+      expect(item.judgment).toBeNull();
+    });
+  });
+
+  describe('followupHints field', () => {
+    it('should accept array of followup hints', () => {
+      const item = new QuestionBankItem();
+      item.followupHints = [
+        '如果只回答"开新窗口"没说怎么带上前情：追问"开新窗口后之前讨论的结论不就丢了吗？怎么把有用信息带过去？"',
+        '如果内容不完整：追问"还有没有更好的办法？"',
+      ];
+      expect(item.followupHints).toHaveLength(2);
+      expect(item.followupHints[0]).toContain('开新窗口');
+      expect(item.followupHints[1]).toContain('更好的办法');
+    });
+
+    it('should accept single followup hint', () => {
+      const item = new QuestionBankItem();
+      item.followupHints = ['追问如何保留之前结论'];
+      expect(item.followupHints).toHaveLength(1);
+    });
+
+    it('should accept empty array', () => {
+      const item = new QuestionBankItem();
+      item.followupHints = [];
+      expect(item.followupHints).toHaveLength(0);
+    });
+
+    it('should allow null followupHints', () => {
+      const item = new QuestionBankItem();
+      item.followupHints = null;
+      expect(item.followupHints).toBeNull();
+    });
+  });
+});
diff --git a/server/src/assessment/entities/question-bank-item.entity.ts b/server/src/assessment/entities/question-bank-item.entity.ts
index f3e13ab..fe52df9 100644
--- a/server/src/assessment/entities/question-bank-item.entity.ts
+++ b/server/src/assessment/entities/question-bank-item.entity.ts
@@ -86,6 +86,12 @@ export class QuestionBankItem {
   @Column({ type: 'text', nullable: true })
   basis: string | null;
 
+  @Column({ type: 'text', nullable: true })
+  judgment: string | null;
+
+  @Column({ type: 'simple-json', nullable: true, name: 'followup_hints' })
+  followupHints: string[] | null;
+
   @Column({ name: 'created_by', nullable: true, type: 'text' })
   createdBy: string | null;
 
diff --git a/server/src/assessment/services/question-bank.service.spec.ts b/server/src/assessment/services/question-bank.service.spec.ts
new file mode 100644
index 0000000..5cab47a
--- /dev/null
+++ b/server/src/assessment/services/question-bank.service.spec.ts
@@ -0,0 +1,261 @@
+import {
+  GENERATE_QUESTIONS_SYSTEM_PROMPT,
+  parseGeneratedQuestion,
+} from './question-bank.service';
+import {
+  QuestionBankItem,
+  QuestionType,
+  QuestionDifficulty,
+  QuestionDimension,
+  QuestionBankItemStatus,
+} from '../entities/question-bank-item.entity';
+
+const BANK_ID = 'test-bank-id';
+
+describe('GENERATE_QUESTIONS_SYSTEM_PROMPT', () => {
+  it('should require both choice and open question types', () => {
+    expect(GENERATE_QUESTIONS_SYSTEM_PROMPT).toContain('choice');
+    expect(GENERATE_QUESTIONS_SYSTEM_PROMPT).toContain('open');
+  });
+
+  it('should specify choice:open ratio', () => {
+    expect(GENERATE_QUESTIONS_SYSTEM_PROMPT).toMatch(/3.*7|choice.*open|选择题.*简答题/);
+  });
+
+  it('should require judgment field for every question', () => {
+    expect(GENERATE_QUESTIONS_SYSTEM_PROMPT).toContain('judgment');
+  });
+
+  it('should require followupHints for open questions', () => {
+    expect(GENERATE_QUESTIONS_SYSTEM_PROMPT).toContain('followupHints');
+  });
+
+  it('should include a few-shot example for choice questions', () => {
+    expect(GENERATE_QUESTIONS_SYSTEM_PROMPT).toMatch(/代码规范|AGENTS\.md|Prettier/);
+  });
+
+  it('should include a few-shot example for open questions', () => {
+    expect(GENERATE_QUESTIONS_SYSTEM_PROMPT).toMatch(/会话管理|上下文窗口|开新窗口/);
+  });
+
+  it('should prohibit concept-definition questions', () => {
+    expect(GENERATE_QUESTIONS_SYSTEM_PROMPT).toMatch(/禁止.*概念|不要.*定义|不能.*什么是/);
+  });
+
+  it('should require similar option lengths', () => {
+    expect(GENERATE_QUESTIONS_SYSTEM_PROMPT).toMatch(/字符差|选项.*长度|长度.*相近/);
+  });
+
+  it('should prohibit "以上都对" and "以上都不对"', () => {
+    expect(GENERATE_QUESTIONS_SYSTEM_PROMPT).toMatch(/禁止.*以上都对|以上都对.*禁止|禁止.*以上都不对/);
+  });
+
+  it('should require keyPoints from knowledge base', () => {
+    expect(GENERATE_QUESTIONS_SYSTEM_PROMPT).toMatch(/key_points.*知识库|知识库.*key_points|知识库.*原文/);
+  });
+
+  it('should prohibit markdown wrapping in JSON output', () => {
+    expect(GENERATE_QUESTIONS_SYSTEM_PROMPT).toMatch(/不要.*[Mm]arkdown|禁止.*[Mm]arkdown|不允许.*[Mm]arkdown|只输出.*JSON|纯JSON/);
+  });
+
+  it('should allow difficulty STANDARD, ADVANCED, SPECIALIST', () => {
+    expect(GENERATE_QUESTIONS_SYSTEM_PROMPT).toContain('STANDARD');
+  });
+
+  it('should allow five dimensions: prompt, llm, ide, devPattern, workCapability', () => {
+    expect(GENERATE_QUESTIONS_SYSTEM_PROMPT).toMatch(/prompt|llm|ide|devPattern|workCapability/);
+  });
+
+  it('should have reasonable prompt length', () => {
+    const len = GENERATE_QUESTIONS_SYSTEM_PROMPT.length;
+    expect(len).toBeGreaterThan(1500);
+    expect(len).toBeLessThan(8000);
+  });
+});
+
+const mockChoiceQuestion = {
+  type: 'choice',
+  scenario: '你在编写代码，AI生成的代码风格不一致',
+  questionText: '【场景】你在编写一段复杂代码... 【问题】以下哪种做法最有效？',
+  options: ['A. 每次手动调整', 'B. 写入AGENTS.md', 'C. 用通用指令', 'D. Prettier格式化'],
+  correctAnswer: 'B',
+  judgment: 'B正确，因为规范文档化能从源头统一。A效率低。C模糊。D只解决表面问题。',
+  keyPoints: ['规范文档化', '源头统一'],
+  difficulty: 'STANDARD',
+  dimension: 'prompt',
+  basis: '知识库原文',
+};
+
+const mockOpenQuestion = {
+  type: 'open',
+  scenario: '你与AI反复修改文档30轮后AI开始遗忘关键约束',
+  questionText: '【场景】你与AI反复修改... 【问题】这种情况怎么造成的？应该怎么做？',
+  judgment: '关键考点：会话管理 通过标准：说出让AI总结+开新窗口即通过',
+  followupHints: ['追问如何保留之前结论'],
+  keyPoints: ['上下文窗口膨胀', '信息蒸馏'],
+  difficulty: 'STANDARD',
+  dimension: 'prompt',
+  basis: '知识库原文',
+};
+
+describe('parseGeneratedQuestion', () => {
+  describe('choice type', () => {
+    it('should parse choice question with MULTIPLE_CHOICE type', () => {
+      const item = parseGeneratedQuestion(mockChoiceQuestion, BANK_ID);
+
+      expect(item.questionType).toBe(QuestionType.MULTIPLE_CHOICE);
+      expect(item.options).toEqual([
+        'A. 每次手动调整',
+        'B. 写入AGENTS.md',
+        'C. 用通用指令',
+        'D. Prettier格式化',
+      ]);
+      expect(item.options).toHaveLength(4);
+      expect(item.correctAnswer).toBe('B');
+      expect(item.judgment).toContain('B正确');
+      expect(item.followupHints).toBeNull();
+    });
+
+    it('should store judgment for choice question', () => {
+      const item = parseGeneratedQuestion(mockChoiceQuestion, BANK_ID);
+
+      expect(item.judgment).toBe(
+        'B正确，因为规范文档化能从源头统一。A效率低。C模糊。D只解决表面问题。',
+      );
+    });
+
+    it('should store keyPoints with technique tag', () => {
+      const q = {
+        ...mockChoiceQuestion,
+        technique: '代码风格注入',
+      };
+      const item = parseGeneratedQuestion(q, BANK_ID);
+
+      expect(item.keyPoints[0]).toBe('【考查技巧】代码风格注入');
+      expect(item.keyPoints).toContain('规范文档化');
+      expect(item.keyPoints).toContain('源头统一');
+    });
+  });
+
+  describe('open type', () => {
+    it('should parse open question with SHORT_ANSWER type', () => {
+      const item = parseGeneratedQuestion(mockOpenQuestion, BANK_ID);
+
+      expect(item.questionType).toBe(QuestionType.SHORT_ANSWER);
+      expect(item.options).toBeNull();
+      expect(item.correctAnswer).toBeNull();
+      expect(item.judgment).toContain('通过标准');
+      expect(item.judgment).toContain('会话管理');
+    });
+
+    it('should store followupHints array', () => {
+      const item = parseGeneratedQuestion(mockOpenQuestion, BANK_ID);
+
+      expect(item.followupHints).toEqual(['追问如何保留之前结论']);
+      expect(item.followupHints).toHaveLength(1);
+    });
+
+    it('should handle open question with no followupHints', () => {
+      const q = { ...mockOpenQuestion, followupHints: [] };
+      const item = parseGeneratedQuestion(q, BANK_ID);
+
+      expect(item.followupHints).toEqual([]);
+    });
+
+    it('should handle open question with 2 followupHints', () => {
+      const q = {
+        ...mockOpenQuestion,
+        followupHints: ['追问1', '追问2'],
+      };
+      const item = parseGeneratedQuestion(q, BANK_ID);
+
+      expect(item.followupHints).toHaveLength(2);
+    });
+  });
+
+  describe('common fields', () => {
+    it('should store keyPoints on both types', () => {
+      const choice = parseGeneratedQuestion(mockChoiceQuestion, BANK_ID);
+      const open = parseGeneratedQuestion(mockOpenQuestion, BANK_ID);
+
+      expect(choice.keyPoints.length).toBeGreaterThan(0);
+      expect(open.keyPoints.length).toBeGreaterThan(0);
+    });
+
+    it('should handle missing keyPoints gracefully', () => {
+      const q = { ...mockOpenQuestion, keyPoints: undefined };
+      const item = parseGeneratedQuestion(q, BANK_ID);
+
+      expect(item.keyPoints).toEqual([]);
+    });
+
+    it('should normalize dimension case-insensitively', () => {
+      const q1 = parseGeneratedQuestion(
+        { ...mockOpenQuestion, dimension: 'LLM' },
+        BANK_ID,
+      );
+      const q2 = parseGeneratedQuestion(
+        { ...mockOpenQuestion, dimension: 'llm' },
+        BANK_ID,
+      );
+      const q3 = parseGeneratedQuestion(
+        { ...mockOpenQuestion, dimension: 'Llm' },
+        BANK_ID,
+      );
+
+      expect(q1.dimension).toBe(QuestionDimension.LLM);
+      expect(q2.dimension).toBe(QuestionDimension.LLM);
+      expect(q3.dimension).toBe(QuestionDimension.LLM);
+    });
+
+    it('should default dimension to WORK_CAPABILITY for unknown values', () => {
+      const q = parseGeneratedQuestion(
+        { ...mockOpenQuestion, dimension: 'unknown' },
+        BANK_ID,
+      );
+
+      expect(q.dimension).toBe(QuestionDimension.WORK_CAPABILITY);
+    });
+
+    it('should map all five dimensions correctly', () => {
+      const dims = ['prompt', 'llm', 'ide', 'devPattern', 'workCapability'];
+      const expected = [
+        QuestionDimension.PROMPT,
+        QuestionDimension.LLM,
+        QuestionDimension.IDE,
+        QuestionDimension.DEV_PATTERN,
+        QuestionDimension.WORK_CAPABILITY,
+      ];
+
+      dims.forEach((dim, i) => {
+        const q = parseGeneratedQuestion(
+          { ...mockOpenQuestion, dimension: dim },
+          BANK_ID,
+        );
+        expect(q.dimension).toBe(expected[i]);
+      });
+    });
+
+    it('should store difficulty correctly', () => {
+      const q = parseGeneratedQuestion(
+        { ...mockOpenQuestion, difficulty: 'ADVANCED' },
+        BANK_ID,
+      );
+
+      expect(q.difficulty).toBe(QuestionDifficulty.ADVANCED);
+    });
+
+    it('should set bankId and status on all items', () => {
+      const item = parseGeneratedQuestion(mockOpenQuestion, BANK_ID);
+
+      expect(item.bankId).toBe(BANK_ID);
+      expect(item.status).toBe(QuestionBankItemStatus.PENDING_REVIEW);
+    });
+
+    it('should store basis text', () => {
+      const item = parseGeneratedQuestion(mockChoiceQuestion, BANK_ID);
+
+      expect(item.basis).toBe('知识库原文');
+    });
+  });
+});
diff --git a/server/src/assessment/services/question-bank.service.ts b/server/src/assessment/services/question-bank.service.ts
index 700208f..42de9f1 100644
--- a/server/src/assessment/services/question-bank.service.ts
+++ b/server/src/assessment/services/question-bank.service.ts
@@ -69,6 +69,180 @@ const DIMENSIONS = [
   QuestionDimension.WORK_CAPABILITY,
 ];
 
+export const GENERATE_QUESTIONS_SYSTEM_PROMPT = `你是 AI 人才考核的出题专家。你需要从知识库内容中生成考核题目。
+
+## 一、内部步骤（在脑中完成，不要输出）
+1. 从知识库提取可考核的实战知识点
+2. 确定该知识点对应的具体技巧或方法
+3. 围绕该技巧设计一个真实工作场景
+
+## 二、题型比例
+本题库同时生成两种题型，按 **choice:open = 3:7** 分配。
+- choice = 选择题（4选1）
+- open = 简答题（开放式 + 追问）
+
+## 三、选择题规则（choice 型）
+### 3.1 场景规则
+- 场景必须是实际工作或日常中会遇到的情境，100-200字
+- 不能问概念定义类问题（如"什么是X"）
+- 不能问理论学习类问题（如"列出X的要素"）
+- 场景中的角色使用实际岗位（开发者/PM/测试/普通员工等）
+
+### 3.2 决策点规则
+- 每道题必须有明确的决策点——学习者要做选择或决定怎么做
+- 不能只是"请解释"
+
+### 3.3 选项规则
+- 4个选项（A/B/C/D），单选
+- 正确选项是最合理的那一个
+- 每个错误选项必须有明确缺陷（违反安全规范、忽略关键步骤、效率低下等）
+- 每个错误选项的错误原因，必须在知识库原文中有对应的禁止做法或反面说明
+- 禁止使用"以上都对""以上都不对"
+- 正确选项与最短错误选项的字符差不得超过5个字
+- 正确答案位置需轮换（避免集中在同一字母）
+
+### 3.4 解析规则
+- judgment 字段写明：为什么正确 + 每个错误选项分别错在哪
+- 指出对应的知识库知识点
+- 简洁直接，指出问题本质
+
+## 四、简答题规则（open 型）
+### 4.1 场景规则
+- 同选择题 3.1
+- 场景中暗示需要什么能力，但不要说破
+
+### 4.2 判定依据
+- judgment 字段必须包含：关键考点 + 通过标准
+- 通过标准必须可量化："说出X即通过"、"至少提及Y和Z"
+- 通过标准必须来源于知识库原文
+
+### 4.3 追问方向
+- followupHints 数组：0-2条追问方向
+- 追问用于引导学习者补充遗漏的关键点
+- 追问应具体、可回答
+- 示例："如果只回答开新窗口没说怎么带上前情：追问怎么把有用信息带过去？"
+
+## 五、禁止项（适用于所有题型）
+- 禁止问概念定义（如"什么是提示词工程"）
+- 禁止问理论列举（如"六要素有哪些"）
+- 禁止选择题出现"以上都对""以上都不对"
+- 禁止正确选项明显比其他选项长或短
+- 禁止场景脱离实际（如"如果你是CEO"不适合L1）
+- 禁止虚构知识库中不存在的方法、工具、术语
+- key_points 必须从知识库原文中提取，不得自行编造
+- 相邻题目的场景背景不得重复或相似
+
+## 六、出题维度（自动判断）
+根据题目内容，从以下五个维度中选择最匹配的一个：
+- prompt（提示词工程）
+- llm（LLM理解）
+- ide（IDE协作开发）
+- devPattern（开发范式）
+- workCapability（工作能力）
+
+## 七、难度说明
+默认 STANDARD。如果场景特别复杂或涉及多步推理，可标记 ADVANCED 或 SPECIALIST。
+
+## 八、参考示例
+
+### 选择题示例
+【场景】你在编写一段复杂的业务逻辑代码，让 AI 帮忙生成。AI 第一次生成的代码功能没问题，但代码风格和你项目现有的不太一样（缩进方式、命名规范不同）。为了提高后续生成的代码一致性，以下哪种做法最有效？
+
+A. 每次生成后手动调整格式，下次再让 AI 生成时重新说明一遍风格要求。
+B. 将项目的代码规范写入 AGENTS.md 或项目配置文件中，让 AI 在生成时自动参考。
+C. 给 AI 发送一条"请遵循团队规范"的通用指令，下一条代码就会自动匹配风格。
+D. 等全部代码生成完后，统一用 Prettier 或 ESLint 格式化工具修正所有风格问题。
+
+**正确答案：B**
+
+**解析：** B正确，将规范文档化并注入上下文，能从源头统一AI的输出风格。A效率低且容易遗漏。C"团队规范"是模糊描述，AI无法知道具体指什么。D格式化工具只能解决缩进等表面问题，无法修复命名规范等逻辑性规范。
+
+### 简答题示例
+【场景】你正在同一个 AI 对话窗口里和 AI 反复修改一份技术方案文档。改了大概30轮之后，你发现 AI 开始"忘记"一开始定下的某些关键约束条件。比如你最早说过"目标读者是业务部门，不要写太多技术细节"，但 AI 新生成的内容又开始出现大量技术术语。
+
+【问题】这种情况是怎么造成的？你应该怎么做才能让 AI 重新聚焦？
+
+**判定依据：**
+- 关键考点：会话管理——长对话导致上下文窗口膨胀，AI注意力分散
+- 通过标准：说出"让AI总结之前内容+开新窗口"即通过
+
+**追问方向：**
+- 如果只回答"开新窗口"没说怎么带上前情：追问"开新窗口后之前讨论的结论不就丢了吗？怎么把有用信息带过去？"
+- 如果内容不完整：追问"还有没有更好的办法？"
+
+## 九、输出格式（仅输出纯JSON，不要带Markdown标记）
+
+选择题输出：
+{
+  "type": "choice",
+  "scenario": "场景描述（100-200字实际工作场景）",
+  "questionText": "【场景】... 【问题】以下哪种做法最有效？",
+  "options": ["A. 选项A描述", "B. 选项B描述", "C. 选项C描述", "D. 选项D描述"],
+  "correctAnswer": "B",
+  "judgment": "B正确，因为... A错误在于... C错误在于... D错误在于...",
+  "keyPoints": ["知识库中的评分要素1", "知识库中的评分要素2"],
+  "difficulty": "STANDARD",
+  "dimension": "prompt",
+  "basis": "知识库原文依据"
+}
+
+简答题输出：
+{
+  "type": "open",
+  "scenario": "场景描述（100-200字实际工作场景）",
+  "questionText": "【场景】... 【问题】请描述你会如何处理",
+  "judgment": "关键考点：XXX 通过标准：说出XXX即通过",
+  "followupHints": ["追问方向1", "追问方向2"],
+  "keyPoints": ["知识库中的评分要素1"],
+  "difficulty": "STANDARD",
+  "dimension": "prompt",
+  "basis": "知识库原文依据"
+}
+
+输出为JSON数组：`;
+
+const DIMENSION_MAP: Record<string, QuestionDimension> = {
+  'prompt': QuestionDimension.PROMPT,
+  'llm': QuestionDimension.LLM,
+  'ide': QuestionDimension.IDE,
+  'devpattern': QuestionDimension.DEV_PATTERN,
+  'workcapability': QuestionDimension.WORK_CAPABILITY,
+};
+
+const DIFFICULTY_MAP: Record<string, QuestionDifficulty> = {
+  'STANDARD': QuestionDifficulty.STANDARD,
+  'ADVANCED': QuestionDifficulty.ADVANCED,
+  'SPECIALIST': QuestionDifficulty.SPECIALIST,
+};
+
+export function parseGeneratedQuestion(
+  q: any,
+  bankId: string,
+): QuestionBankItem {
+  const isChoice = q.type === 'choice';
+  const dimension = DIMENSION_MAP[q.dimension?.toLowerCase()] ?? QuestionDimension.WORK_CAPABILITY;
+  const difficulty = DIFFICULTY_MAP[q.difficulty?.toUpperCase()] ?? QuestionDifficulty.STANDARD;
+  const techniqueTag = q.technique ? `【考查技巧】${q.technique}` : null;
+  const keyPoints = techniqueTag
+    ? [techniqueTag, ...(q.keyPoints ?? q.key_points ?? [])]
+    : (q.keyPoints ?? q.key_points ?? []);
+
+  return {
+    bankId,
+    questionText: q.questionText ?? q.question_text ?? '',
+    questionType: isChoice ? QuestionType.MULTIPLE_CHOICE : QuestionType.SHORT_ANSWER,
+    options: isChoice ? (q.options ?? null) : null,
+    correctAnswer: isChoice ? (q.correctAnswer ?? null) : null,
+    judgment: q.judgment ?? null,
+    followupHints: isChoice ? null : (q.followupHints ?? null),
+    keyPoints,
+    difficulty,
+    dimension,
+    basis: q.basis ?? null,
+    status: QuestionBankItemStatus.PENDING_REVIEW,
+  } as QuestionBankItem;
+}
+
 @Injectable()
 export class QuestionBankService {
   private readonly logger = new Logger(QuestionBankService.name);
@@ -301,37 +475,8 @@ export class QuestionBankService {
       },
     });
 
-    const systemPrompt = `你是一个实战考核设计专家。你要做三件事（在脑中完成，不要输出中间过程）。
-
-### 内部步骤（不要输出）：
-1. 从知识库提取可考核的实战知识点
-2. 确定该知识点对应的**具体技巧或方法**，这将成为考核目标
-3. 围绕该技巧设计一个真实工作场景
-
-### 出题规则：
-- 题目格式："【场景】具体场景描述 【问题】请描述你会如何处理"
-- 场景中暗示需要什么能力，但不要说破
-- **绝对禁止**概念题、选择题
-
-### 评分标准来源（严格遵守）：
-- key_points 必须从知识库原文中提取，不得自行编造评分标准
-- 每个 key_point 必须是知识库中明确提及的要素
-- **禁止**添加知识库中没有的方法、工具、格式（如 Markdown）
-
-### 只输出 JSON：
-[
-  {
-    "knowledge_points": ["知识点原文"],
-    "technique": "此题考查的具体技巧名称",
-    "scenario": "实战场景",
-    "question_text": "【场景】... 【问题】请描述你会如何...",
-    "key_points": ["知识库中的评分要素", "知识库中的评分要素"],
-    "difficulty": "STANDARD",
-    "dimension": "prompt|llm|ide|devPattern|workCapability",
-    "basis": "知识库原文依据"
-  }
-]`;
-    const humanMsg = `【知识库内容 - 唯一来源】\n\n--- 开始 ---\n${knowledgeBaseContent}\n--- 结束 ---\n\n请按三步流程生成 ${count} 道简答题。难度以 STANDARD 为主。`;
+    const systemPrompt = GENERATE_QUESTIONS_SYSTEM_PROMPT;
+    const humanMsg = `【知识库内容 - 唯一来源】\n\n--- 开始 ---\n${knowledgeBaseContent}\n--- 结束 ---\n\n请按上述规则生成 ${count} 道题，choice:open 比例约 3:7。难度以 STANDARD 为主。`;
 
     try {
       const response = await model.invoke([
@@ -349,39 +494,11 @@ export class QuestionBankService {
         parsedQuestions = [parsedQuestions];
       }
 
-      const dimensionMap: Record<string, string> = {
-        'prompt': 'PROMPT',
-        'llm': 'LLM',
-        'ide': 'IDE',
-        'devPattern': 'DEV_PATTERN',
-        'workCapability': 'WORK_CAPABILITY',
-      };
-
-      const difficultyMap: Record<string, string> = {
-        'STANDARD': 'STANDARD',
-        'ADVANCED': 'ADVANCED',
-        'SPECIALIST': 'SPECIALIST',
-      };
-
       const items: QuestionBankItem[] = [];
       for (const q of parsedQuestions) {
-        const dimension = dimensionMap[q.dimension?.toLowerCase()] || 'WORK_CAPABILITY';
-        const difficulty = difficultyMap[q.difficulty?.toUpperCase()] || 'STANDARD';
-        const techniqueTag = q.technique ? `【考查技巧】${q.technique}` : null;
-        const keyPoints = techniqueTag
-          ? [techniqueTag, ...(q.key_points || [])]
-          : (q.key_points || []);
-
-        const item = this.itemRepository.create({
-          bankId,
-          questionText: q.question_text,
-          questionType: QuestionType.SHORT_ANSWER,
-          keyPoints,
-          difficulty: difficulty as QuestionDifficulty,
-          dimension: dimension as QuestionDimension,
-          basis: q.basis,
-          status: QuestionBankItemStatus.PENDING_REVIEW,
-        });
+        const item = this.itemRepository.create(
+          parseGeneratedQuestion(q, bankId),
+        );
         items.push(item);
       }