diff --git a/frontend/src/lib/prompts/exportCompact.ts b/frontend/src/lib/prompts/exportCompact.ts
index a828f23..0b93624 100644
--- a/frontend/src/lib/prompts/exportCompact.ts
+++ b/frontend/src/lib/prompts/exportCompact.ts
@@ -4,31 +4,61 @@ import type {
   PromptVersion,
 } from "./types";
 
-const EXPORT_COMPACT_SYSTEM = `You are Vesti's export compaction assistant.
-
-Your job is to compress one conversation into a high-fidelity markdown handoff for another AI or engineer who must continue the work with minimal context loss.
-
-Output must contain these exact headings:
-## Background
-## Key Questions
-## Decisions And Answers
-## Reusable Artifacts
-## Unresolved
-
-Hard rules:
-1) Use only evidence present in the provided transcript.
-2) Prioritize transfer fidelity over aggressive shortening. Do not drop grounded decisions, commands, files, APIs, or next-step context just to be shorter.
-3) Preserve concrete details such as filenames, function names, shell commands, URLs, APIs, and code blocks when grounded.
-4) Keep chronological logic intact: if a later decision depends on earlier context, make that dependency explicit.
-5) If a section has no grounded evidence, write a conservative placeholder instead of inventing details.
-6) Respect the requested locale.
-7) Output markdown only. Do not wrap the whole answer in code fences.
-8) If the transcript contains reusable code or command snippets, preserve them in markdown-friendly form rather than paraphrasing them away.`;
+const EXPORT_COMPACT_SYSTEM = `将技术对话压缩为其他AI可接续的格式。
+
+输出必须包含以下标记：
+[主题] 一句话概括
+[背景] 问题背景和约束
+[关键决策] 编号列表，每项包含"决策内容 - 选择理由"
+[核心代码] \`\`\`语言\n完整代码\n\`\`\`
+[待解决问题] 仍需处理的事项
+[来源] X轮对话
+
+规则：
+1. 使用对话中实际存在的信息，不编造
+2. 代码必须完整，禁止截断
+3. 决策必须说明"为什么选A而不是B"
+4. 去除寒暄和重复内容
+5. 保留文件名、函数名、命令等具体细节
+6. 如果某部分无内容，使用占位符如"无代码"或"已解决"
+7. 仅输出markdown，不要包裹代码块
+8. 用中文输出
+
+示例：
+[主题] React虚拟滚动实现
+
+[背景] 需渲染10万+数据导致卡顿。使用react-window时遇到动态高度问题。
+
+[关键决策]
+1. 使用VariableSizeList替代FixedSizeList - Fixed无法处理动态高度，会导致布局错乱
+2. 设置estimatedItemSize=350 - 基于业务数据80%条目在300-400px
+
+[核心代码]
+\`\`\`jsx
+import { VariableSizeList } from 'react-window';
+function List({ items }) {
+  const getItemSize = (i) => items[i].height || 350;
+  return (
+    <VariableSizeList
+      height={600}
+      itemCount={items.length}
+      itemSize={getItemSize}
+      estimatedItemSize={350}
+    >
+      {({ index, style }) => <div style={style}>{items[index].content}</div>}
+    </VariableSizeList>
+  );
+}
+\`\`\`
+
+[待解决问题] 需要测试边界情况：当列表为空时的处理
+
+[来源] 8轮对话`;
 
 function formatDateTime(value: number): string {
-  return new Date(value).toLocaleString("en-US", {
+  return new Date(value).toLocaleString("zh-CN", {
     year: "numeric",
-    month: "short",
+    month: "2-digit",
     day: "2-digit",
     hour: "2-digit",
     minute: "2-digit",
@@ -36,7 +66,7 @@ function formatDateTime(value: number): string {
 }
 
 function formatTime(value: number): string {
-  return new Date(value).toLocaleTimeString("en-US", {
+  return new Date(value).toLocaleTimeString("zh-CN", {
     hour: "2-digit",
     minute: "2-digit",
   });
@@ -44,95 +74,79 @@ function formatTime(value: number): string {
 
 function toTranscript(messages: Message[]): string {
   if (!messages.length) {
-    return "[No messages available]";
+    return "[无消息]";
   }
 
   return messages
     .map((message, index) => {
-      const role = message.role === "user" ? "User" : "AI";
+      const role = message.role === "user" ? "用户" : "AI";
       return `${index + 1}. [${formatTime(message.created_at)}] [${role}] ${message.content_text}`;
     })
     .join("\n");
 }
 
 function buildCompactPrompt(payload: ExportCompressionPromptPayload): string {
-  const isStepProfile = payload.profile === "step_flash_concise";
-  const brevityRule = isStepProfile
-    ? "Keep bullets concise and prioritize grounded artifacts over narrative polish."
-    : "Preserve the full implementation trail when it is grounded, even if the output becomes longer.";
+  return `将以下技术对话压缩为AI Handoff格式。
 
-  return `Create a high-fidelity export handoff for this conversation.
-
-Metadata:
-- Title: ${payload.conversationTitle || "(untitled)"}
-- Platform: ${payload.conversationPlatform || "unknown"}
-- StartedAt: ${
+元数据：
+- 标题: ${payload.conversationTitle || "(未命名)"}
+- 平台: ${payload.conversationPlatform || "unknown"}
+- 开始时间: ${
     payload.conversationOriginAt
       ? formatDateTime(payload.conversationOriginAt)
       : "unknown"
   }
-- Locale: ${payload.locale || "zh"}
-- MessageCount: ${payload.messages.length}
+- 对话轮数: ${payload.messages.length}
 
-Transcript:
+对话记录：
 ${toTranscript(payload.messages)}
 
-Output requirements:
-1) Use the exact headings listed in the system prompt.
-2) Optimize for AI handoff, not for skimming: preserve background, key asks, decisions, constraints, artifacts, and unresolved work.
-3) In ## Background, include the task frame, constraints, and any context another assistant would need before acting.
-4) In ## Key Questions, keep only the questions that actually drove the work forward.
-5) In ## Decisions And Answers, capture grounded resolutions, tradeoffs, and chosen implementation paths.
-6) In ## Reusable Artifacts, preserve filenames, commands, APIs, functions, and code blocks when grounded.
-7) In ## Unresolved, call out what remains open, risky, or needs continuation.
-8) ${brevityRule}
-9) If evidence is sparse, keep the structure and use conservative placeholders.
-10) Write the final output in ${payload.locale === "en" ? "natural English" : "natural Chinese"}.
-11) Output markdown only.`;
+要求：
+1. 严格使用系统提示中的标记格式
+2. [关键决策]必须包含选择理由（为什么选这个而不是其他方案）
+3. [核心代码]保持完整可运行，包含必要的import
+4. 去除寒暄、重复和与主题无关的内容
+5. 如果对话是中文，用中文输出；如果是英文，可以保留关键术语
+6. 输出纯markdown，不要包裹在代码块中`;
 }
 
 function buildCompactFallbackPrompt(
   payload: ExportCompressionPromptPayload
 ): string {
-  const fallbackNote =
-    payload.profile === "step_flash_concise"
-      ? "Keep it tight, but do not lose grounded files, commands, APIs, or unresolved work."
-      : "Preserve grounded files, commands, APIs, code, and unresolved work whenever they appear.";
-
-  return `Write a shorter fallback markdown handoff for this conversation.
-You must keep these exact headings:
-## Background
-## Key Questions
-## Decisions And Answers
-## Reusable Artifacts
-## Unresolved
-
-Keep it shorter and more conservative than the main prompt.
-${fallbackNote}
-Use ${payload.locale === "en" ? "English" : "Chinese"}.
-Output markdown only.
-
-Transcript:
-${toTranscript(payload.messages)}`;
+  return `将以下对话压缩为简洁的AI交接格式：
+
+标题: ${payload.conversationTitle || "(未命名)"}
+轮数: ${payload.messages.length}
+
+对话记录：
+${toTranscript(payload.messages)}
+
+必须包含以下标记：
+[主题] 一句话概括
+[背景] 关键背景
+[关键决策] 核心决策点
+[核心代码] 代码块（如有）
+[来源] ${payload.messages.length}轮对话
+
+保持简洁，但保留关键决策和代码。用中文输出。`;
 }
 
 export const CURRENT_EXPORT_COMPACT_PROMPT: PromptVersion<ExportCompressionPromptPayload> = {
-  version: "v1.2.0-export-compact-kimi-step-profiled",
-  createdAt: "2026-03-16",
-  description:
-    "High-fidelity compact export handoff prompt with Kimi-rich and Step-concise profiles.",
+  version: "v1.2.0-export-compact-zh",
+  createdAt: "2026-03-17",
+  description: "中文AI Handoff格式，保留决策理由和完整代码",
   system: EXPORT_COMPACT_SYSTEM,
-  fallbackSystem: "You are a cautious technical export assistant. Output markdown only.",
+  fallbackSystem: "你是技术对话压缩助手，输出简洁的中文摘要。",
   userTemplate: buildCompactPrompt,
   fallbackTemplate: buildCompactFallbackPrompt,
 };
 
 export const EXPERIMENTAL_EXPORT_COMPACT_PROMPT: PromptVersion<ExportCompressionPromptPayload> = {
-  version: "v1.2.0-export-compact-kimi-step-profiled-exp",
-  createdAt: "2026-03-16",
-  description: "Experimental profiled compact export handoff variant.",
+  version: "v1.2.0-export-compact-zh-exp",
+  createdAt: "2026-03-17",
+  description: "Experimental Chinese compact export variant.",
   system: EXPORT_COMPACT_SYSTEM,
-  fallbackSystem: "You are a cautious technical export assistant. Output markdown only.",
+  fallbackSystem: "你是技术对话压缩助手，输出简洁的中文摘要。",
   userTemplate: buildCompactPrompt,
   fallbackTemplate: buildCompactFallbackPrompt,
 };
diff --git a/frontend/src/lib/prompts/exportSummary.ts b/frontend/src/lib/prompts/exportSummary.ts
index b2d344c..3918f30 100644
--- a/frontend/src/lib/prompts/exportSummary.ts
+++ b/frontend/src/lib/prompts/exportSummary.ts
@@ -4,40 +4,89 @@ import type {
   PromptVersion,
 } from "./types";
 
-const EXPORT_SUMMARY_SYSTEM = `You are Vesti's export summary assistant.
+const EXPORT_SUMMARY_SYSTEM = `将技术对话整理为可直接存入Notion/Obsidian的知识卡片。
 
-Your job is to compress one conversation into a note-ready markdown summary for future human recall.
+输出格式（严格遵循Markdown）：
+\`\`\`markdown
+# [标题] 技术主题
+> [日期] | [平台] | [对话轮数]
 
-Output must contain these exact headings:
 ## TL;DR
-## Problem Frame
-## Important Moves
-## Reusable Snippets
-## Next Steps
-## Tags
-
-Hard rules:
-1) Use only evidence present in the provided transcript.
-2) Prefer concrete phrasing over vague praise or filler.
-3) Keep the summary readable by a human returning later with limited context.
-4) Align the content structure with Vesti's conversation_summary.v2 mindset: core question, key moves, reusable insights, unresolved work, and next actions.
-5) If evidence is missing, state that conservatively instead of inventing details.
-6) Respect the requested locale.
-7) Output markdown only. Do not wrap the whole answer in code fences.
-8) Reusable snippets may include commands, files, APIs, or code only when grounded in the transcript.`;
+[一句话总结核心内容，包含关键数据和结果]
+
+## 问题定义（如有）
+**症状**：[问题表现]
+**约束**：[限制条件]
+**影响**：[影响范围]
+
+## 方案对比（如涉及技术选型）
+| 方案 | 维度1 | 维度2 | 维度3 | 决策 |
+|------|-------|-------|-------|------|
+| 方案A | ... | ... | ... | ❌/✅ |
+| 方案B | ... | ... | ... | ❌/✅ |
+
+## 可复用代码
+### 场景1：xxx
+[完整可运行的代码块]
+
+### 场景2：xxx
+[变体代码]
+
+## 关键决策依据
+1. **[决策点]**：[选择理由，包含"为什么选A而非B"]
+2. **[决策点]**：[选择理由]
+
+## 踩坑记录（如有）
+- ❌ [错误做法] → [后果]
+- ✅ [正确做法]
+
+## 后续行动
+- [ ] [具体可执行的任务]
+- [ ] [具体可执行的任务]
+
+## 相关资源
+- [链接描述](url)
+- [内部文档](wiki-link)
+
+## 标签
+#标签1 #标签2 #标签3
+\`\`\`
+
+核心原则：
+1. **可复用**：读者无需看原始对话，仅看笔记就能理解并应用
+2. **结构化**：清晰的层级，方便快速定位和检索
+3. **完整性**：包含问题、方案、代码、决策依据、后续行动
+4. **可执行**：代码可直接复制使用，步骤可立即执行
+5. **决策依据**：每个选择必须说明理由
+
+特殊场景：
+- 纯调研类（无代码）：保留方案对比和决策依据，代码块写"无代码"
+- 超长对话（>100轮）：按子主题拆分多个##二级标题
+- 调试/排查类：必须保留 现象→排查步骤→根因→修复 的完整链条
+
+质量自检（输出前必查）：
+- [ ] TL;DR是否包含关键数据/结果？
+- [ ] 代码是否完整可运行？（包含必要import）
+- [ ] 是否有"为什么选这个方案"的决策依据？
+- [ ] 标签是否便于检索？
+- [ ] 如果我是3个月后回看，能否快速理解？`;
 
 function formatDateTime(value: number): string {
-  return new Date(value).toLocaleString("en-US", {
+  return new Date(value).toLocaleString("zh-CN", {
     year: "numeric",
-    month: "short",
+    month: "2-digit",
     day: "2-digit",
     hour: "2-digit",
     minute: "2-digit",
   });
 }
 
+function formatDate(value: number): string {
+  return new Date(value).toISOString().split("T")[0];
+}
+
 function formatTime(value: number): string {
-  return new Date(value).toLocaleTimeString("en-US", {
+  return new Date(value).toLocaleTimeString("zh-CN", {
     hour: "2-digit",
     minute: "2-digit",
   });
@@ -45,101 +94,93 @@ function formatTime(value: number): string {
 
 function toTranscript(messages: Message[]): string {
   if (!messages.length) {
-    return "[No messages available]";
+    return "[无消息]";
   }
 
   return messages
     .map((message, index) => {
-      const role = message.role === "user" ? "User" : "AI";
+      const role = message.role === "user" ? "用户" : "AI";
       return `${index + 1}. [${formatTime(message.created_at)}] [${role}] ${message.content_text}`;
     })
     .join("\n");
 }
 
 function buildSummaryPrompt(payload: ExportCompressionPromptPayload): string {
-  const isStepProfile = payload.profile === "step_flash_concise";
-  const profileInstruction = isStepProfile
-    ? "Favor structural coverage and concise grounded bullets over essay-like phrasing."
-    : "Favor richer problem framing and clearer reconstruction of the thread's actual progression.";
-
-  return `Create a note-ready export summary for this conversation.
-
-Metadata:
-- Title: ${payload.conversationTitle || "(untitled)"}
-- Platform: ${payload.conversationPlatform || "unknown"}
-- StartedAt: ${
-    payload.conversationOriginAt
-      ? formatDateTime(payload.conversationOriginAt)
-      : "unknown"
-  }
-- Locale: ${payload.locale || "zh"}
-- MessageCount: ${payload.messages.length}
+  return `将以下技术对话整理为知识卡片格式。
+
+元数据：
+- 标题: ${payload.conversationTitle || "(未命名)"}
+- 平台: ${payload.conversationPlatform || "unknown"}
+- 日期: ${payload.conversationOriginAt ? formatDate(payload.conversationOriginAt) : new Date().toISOString().split("T")[0]}
+- 对话轮数: ${payload.messages.length}
 
-Transcript:
+对话记录：
 ${toTranscript(payload.messages)}
 
-Output requirements:
-1) Use the exact headings listed in the system prompt.
-2) Keep this optimized for future recall: crisp TL;DR, problem framing, key moves, reusable snippets, next steps, and tags.
-3) Let ## Problem Frame align with the core question and constraints that shaped the thread.
-4) Let ## Important Moves reflect the actual progression of the discussion, similar to a lightweight thinking_journey.
-5) Let ## Next Steps reflect grounded actionable follow-ups, not generic advice.
-6) Let ## Tags stay concrete and limited to 3-5 useful tags when evidence exists.
-7) ${profileInstruction}
-8) Keep bullets concise and grounded.
-9) If evidence is sparse, keep the structure and use conservative placeholders.
-10) Write the final output in ${payload.locale === "en" ? "natural English" : "natural Chinese"}.
-11) Output markdown only.`;
+输出要求：
+1. 严格遵循系统提示中的知识卡片格式
+2. TL;DR必须包含关键数据或结果（如性能提升、问题解决等）
+3. 代码块完整可运行，包含必要的import和类型定义
+4. 方案对比表格要包含决策列（✅/❌）
+5. 后续行动使用复选框格式（- [ ]）
+6. 标签使用#开头，便于后续检索
+7. 如果对话是中文，用中文输出；如果是英文，可以保留关键术语
+8. 输出纯markdown，不要包裹在代码块中`;
 }
 
 function buildSummaryFallbackPrompt(
   payload: ExportCompressionPromptPayload
 ): string {
-  const fallbackGuidance =
-    payload.profile === "step_flash_concise"
-      ? "Prefer compact bullets that preserve the thread's concrete actions and artifacts."
-      : "Prefer stronger problem framing and more explicit important moves when evidence exists.";
+  return `将以下对话整理为简化的知识卡片：
+
+标题: ${payload.conversationTitle || "(未命名)"}
+平台: ${payload.conversationPlatform || "unknown"}
+轮数: ${payload.messages.length}
+
+对话记录：
+${toTranscript(payload.messages)}
 
-  return `Write a markdown export summary for this conversation.
+必须包含以下章节：
+# 标题
+> 日期 | 平台 | ${payload.messages.length}轮
 
-You must use these exact headings:
 ## TL;DR
-## Problem Frame
-## Important Moves
-## Reusable Snippets
-## Next Steps
-## Tags
-
-Requirements:
-1) Keep the structure aligned with a v2-style thinking summary, but do not output JSON.
-2) Use grounded evidence only.
-3) Preserve commands, files, APIs, and code references when they exist.
-4) Even if the transcript is sparse, keep all headings and fill them conservatively.
-5) ${fallbackGuidance}
-6) Use ${payload.locale === "en" ? "English" : "Chinese"}.
-7) Output markdown only.
-
-Transcript:
-${toTranscript(payload.messages)}`;
+一句话总结
+
+## 问题定义
+关键问题描述
+
+## 方案对比
+简要对比（如有）
+
+## 可复用代码
+代码块或"无代码"
+
+## 后续行动
+- [ ] 待办事项
+
+## 标签
+#相关标签
+
+保持简洁但结构完整。用中文输出。`;
 }
 
 export const CURRENT_EXPORT_SUMMARY_PROMPT: PromptVersion<ExportCompressionPromptPayload> = {
-  version: "v1.2.0-export-summary-kimi-step-profiled",
-  createdAt: "2026-03-16",
-  description:
-    "Summary export prompt for human-readable notes with Kimi-rich and Step-concise profiles.",
+  version: "v1.2.0-export-summary-zh",
+  createdAt: "2026-03-17",
+  description: "中文知识卡片格式，适合存入Notion/Obsidian",
   system: EXPORT_SUMMARY_SYSTEM,
-  fallbackSystem: "You are a concise technical export assistant. Output markdown only.",
+  fallbackSystem: "你是知识整理助手，将对话转换为结构化的中文笔记。",
   userTemplate: buildSummaryPrompt,
   fallbackTemplate: buildSummaryFallbackPrompt,
 };
 
 export const EXPERIMENTAL_EXPORT_SUMMARY_PROMPT: PromptVersion<ExportCompressionPromptPayload> = {
-  version: "v1.2.0-export-summary-kimi-step-profiled-exp",
-  createdAt: "2026-03-16",
-  description: "Experimental profiled summary export variant.",
+  version: "v1.2.0-export-summary-zh-exp",
+  createdAt: "2026-03-17",
+  description: "Experimental Chinese knowledge export variant.",
   system: EXPORT_SUMMARY_SYSTEM,
-  fallbackSystem: "You are a concise technical export assistant. Output markdown only.",
+  fallbackSystem: "你是知识整理助手，将对话转换为结构化的中文笔记。",
   userTemplate: buildSummaryPrompt,
   fallbackTemplate: buildSummaryFallbackPrompt,
 };
diff --git a/frontend/src/sidepanel/components/BatchActionBar.tsx b/frontend/src/sidepanel/components/BatchActionBar.tsx
index ad89ad0..e07433a 100644
--- a/frontend/src/sidepanel/components/BatchActionBar.tsx
+++ b/frontend/src/sidepanel/components/BatchActionBar.tsx
@@ -3,6 +3,9 @@ import {
   CheckSquare,
   Copy,
   Download,
+  FileCode,
+  FileJson,
+  FileText,
   Loader2,
   Square,
   Trash2,
@@ -81,19 +84,17 @@ const EXPORT_MODE_OPTIONS: Array<{
   {
     mode: "full",
     label: "Full",
-    description: "Keep the complete thread transcript locally.",
+    description: "Complete conversation history.",
   },
   {
     mode: "compact",
-    label: "Compact",
-    description:
-      "AI handoff format. Tries current LLM settings first, then local fallback.",
+    label: "AI Handoff",
+    description: "For other AI assistants. Preserves decisions, code, and context.",
   },
   {
     mode: "summary",
-    label: "Summary",
-    description:
-      "Human note format. Tries current LLM settings first, then local fallback.",
+    label: "Knowledge Export",
+    description: "For notes & docs. Structured knowledge card format.",
   },
 ];
 
@@ -194,53 +195,63 @@ export function BatchActionBar({
             </button>
           </div>
 
-          <p className="mt-3 data-subgroup-label">Export mode</p>
-          <div className="rounded-lg bg-bg-secondary p-1">
-            <div className="grid grid-cols-3 gap-1">
-              {EXPORT_MODE_OPTIONS.map((option) => {
-                const active = exportMode === option.mode;
-                return (
-                  <button
-                    key={option.mode}
-                    type="button"
-                    onClick={() => onExportModeChange(option.mode)}
-                    className={`rounded-md px-2 py-1.5 text-[11px] font-semibold transition-colors ${
-                      active
-                        ? "bg-bg-primary text-text-primary shadow-sm"
-                        : "text-text-secondary hover:bg-bg-primary/70 hover:text-text-primary"
+          <p className="mt-3 text-[10px] font-semibold uppercase tracking-[0.11em] text-text-secondary">
+            Export mode
+          </p>
+          <div className="mt-2 grid grid-cols-3 gap-2">
+            {EXPORT_MODE_OPTIONS.map((option) => {
+              const active = exportMode === option.mode;
+              return (
+                <button
+                  key={option.mode}
+                  type="button"
+                  onClick={() => onExportModeChange(option.mode)}
+                  className={`flex flex-col items-center justify-center rounded-lg border px-2 py-2.5 text-center transition-all ${
+                    active
+                      ? "border-accent-primary bg-accent-primary/10"
+                      : "border-border-subtle bg-bg-secondary hover:bg-bg-tertiary"
+                  }`}
+                >
+                  <span
+                    className={`text-xs font-medium ${
+                      active ? "text-accent-primary" : "text-text-primary"
                     }`}
                   >
                     {option.label}
-                  </button>
-                );
-              })}
-            </div>
+                  </span>
+                  <span className="mt-0.5 text-[10px] text-text-tertiary leading-tight">
+                    {option.description}
+                  </span>
+                </button>
+              );
+            })}
           </div>
-          <p className="mt-2 text-[11px] leading-[1.45] text-text-secondary">
-            {selectedMode.description}
-          </p>
 
-          <p className="mt-3 data-subgroup-label">Export format</p>
-          <div className="data-format-selector">
+          <p className="mt-3 text-[10px] font-semibold uppercase tracking-[0.11em] text-text-secondary">
+            Export format
+          </p>
+          <div className="mt-2 flex gap-2">
             {EXPORT_OPTIONS.map((option) => {
               const active = selectedExportFormat === option.format;
+              const Icon = option.format === "md" ? FileCode : option.format === "txt" ? FileText : FileJson;
               return (
                 <button
                   key={option.format}
                   type="button"
                   onClick={() => onExportFormatChange(option.format)}
                   disabled={Boolean(actionKey)}
-                  className={`data-format-option ${active ? "is-selected" : ""}`}
+                  className={`flex flex-1 items-center justify-center gap-1.5 rounded-lg border px-3 py-2 text-xs font-medium transition-all ${
+                    active
+                      ? "border-accent-primary bg-accent-primary/10 text-accent-primary"
+                      : "border-border-subtle bg-bg-secondary text-text-secondary hover:bg-bg-tertiary hover:text-text-primary"
+                  }`}
                 >
-                  <span className="data-format-option-name">{option.name}</span>
-                  <span className="data-format-option-desc">{option.description}</span>
+                  <Icon className="h-3.5 w-3.5" strokeWidth={1.5} />
+                  {option.name}
                 </button>
               );
             })}
           </div>
-          <p className="mt-2 text-[11px] leading-[1.45] text-text-secondary">
-            Current format: {selectedFormat.name}
-          </p>
 
           <div className="mt-3 grid grid-cols-2 gap-2">
             <button
diff --git a/frontend/src/sidepanel/utils/exportCompression.ts b/frontend/src/sidepanel/utils/exportCompression.ts
index 6ca83ea..2b68bcb 100644
--- a/frontend/src/sidepanel/utils/exportCompression.ts
+++ b/frontend/src/sidepanel/utils/exportCompression.ts
@@ -143,19 +143,18 @@ const PLACEHOLDER_PATTERNS = [
 ] as const;
 const EXPECTED_HEADINGS: Record<ExportCompressionMode, string[]> = {
   compact: [
-    "## Background",
-    "## Key Questions",
-    "## Decisions And Answers",
-    "## Reusable Artifacts",
-    "## Unresolved",
+    "[主题]",
+    "[背景]",
+    "[关键决策]",
+    "[核心代码]",
+    "[来源]",
   ],
   summary: [
     "## TL;DR",
-    "## Problem Frame",
-    "## Important Moves",
-    "## Reusable Snippets",
-    "## Next Steps",
-    "## Tags",
+    "## 问题定义",
+    "## 方案对比",
+    "## 可复用代码",
+    "## 后续行动",
   ],
 };
 
@@ -549,30 +548,30 @@ function buildCompactFallback(
   const artifacts = collectArtifactLines(messages, 5);
   const unresolved = collectUnresolvedLines(messages, 3);
 
-  const background = [
-    `- Title: ${item.conversation.title || "(untitled)"}`,
-    `- Platform: ${item.conversation.platform}`,
-    `- Context: ${pickContextLine(item.conversation, messages)}`,
-    ...constraints.map((constraint) => `- Constraint: ${constraint}`),
-    `- Fallback reason: ${reason}`,
-  ];
-
-  return [
-    "## Background",
-    ...background,
-    "",
-    "## Key Questions",
-    ...toBulletLines(questions, "- No explicit user question was captured."),
-    "",
-    "## Decisions And Answers",
-    ...toBulletLines(decisions, "- No grounded decision or answer was captured."),
-    "",
-    "## Reusable Artifacts",
-    ...toBulletLines(artifacts, "- None grounded in this thread."),
-    "",
-    "## Unresolved",
-    ...toBulletLines(unresolved, "- No unresolved follow-up was explicit in this thread."),
-  ].join("\n");
+  const firstUser = messages.find((m) => m.role === "user");
+  const lastAi = [...messages].reverse().find((m) => m.role === "ai");
+
+  return `[主题] ${item.conversation.title || "未命名对话"}
+
+[背景] ${firstUser ? shorten(firstUser.content_text, 120) : "无背景信息"}
+${constraints.length > 0 ? "约束条件：" + constraints.map(c => shorten(c, 60)).join("；") : ""}
+
+[关键决策]
+${decisions.length > 0 
+  ? decisions.map((d, i) => `${i + 1}. ${shorten(d, 100)}`).join("\n")
+  : "1. " + (lastAi ? shorten(lastAi.content_text, 100) : "无明确决策")}
+
+[核心代码]
+${artifacts.length > 0 
+  ? artifacts.slice(0, 2).map(a => `- ${shorten(a, 120)}`).join("\n")
+  : "```\n// 无代码或代码未提取\n```"}
+
+[待解决问题]
+${unresolved.length > 0 
+  ? unresolved.map((u, i) => `${i + 1}. ${shorten(u, 80)}`).join("\n")
+  : "无明显待解决问题"}
+
+[来源] ${messages.length}轮对话${reason ? ` (${reason})` : ""}`;
 }
 
 function buildSummaryFallback(
@@ -585,36 +584,42 @@ function buildSummaryFallback(
   const decisions = collectDecisionLines(messages, 3);
   const artifacts = collectArtifactLines(messages, 5);
   const unresolved = collectUnresolvedLines(messages, 3);
-  const roleAwareMoves = collectRoleAwareTurns(messages, 4);
   const tags = collectPotentialTags(item.conversation, messages, 5);
 
-  const problemFrame = [
-    item.conversation.title || "Untitled conversation",
-    pickContextLine(item.conversation, messages),
-    ...questions,
-    ...constraints,
-  ];
-  const importantMoves = decisions.length > 0 ? decisions : roleAwareMoves;
+  const firstUser = messages.find((m) => m.role === "user");
+  const lastAi = [...messages].reverse().find((m) => m.role === "ai");
 
-  return [
-    "## TL;DR",
-    `- ${buildSummaryTldr(item, questions, decisions, unresolved)}`,
-    "",
-    "## Problem Frame",
-    ...toBulletLines(problemFrame, "- No problem framing captured."),
-    "",
-    "## Important Moves",
-    ...toBulletLines(importantMoves, "- No grounded key move was captured."),
-    "",
-    "## Reusable Snippets",
-    ...toBulletLines(artifacts, "- None grounded in this thread."),
-    "",
-    "## Next Steps",
-    ...toBulletLines(unresolved, "- No grounded next step was explicit in this thread."),
-    "",
-    "## Tags",
-    `- ${tags.length > 0 ? tags.join(", ") : `fallback-local, ${reason}`}`,
-  ].join("\n");
+  return `# ${item.conversation.title || "未命名对话"}
+> ${new Date().toISOString().split("T")[0]} | ${item.conversation.platform} | ${messages.length}轮
+
+## TL;DR
+${firstUser ? shorten(firstUser.content_text, 100) : "技术讨论"}
+
+## 问题定义
+${questions.length > 0 
+  ? questions.map((q, i) => `${i + 1}. ${shorten(q, 80)}`).join("\n")
+  : "**症状**：待整理\n**约束**：待整理"}
+
+## 方案对比
+待整理...
+
+## 可复用代码
+${artifacts.length > 0 
+  ? artifacts.slice(0, 3).map(a => `- ${shorten(a, 100)}`).join("\n")
+  : "\`\`\`\n// 请查看原始对话获取完整代码\n\`\`\`"}
+
+## 关键决策依据
+${decisions.length > 0 
+  ? decisions.map((d, i) => `${i + 1}. ${shorten(d, 100)}`).join("\n")
+  : "1. " + (lastAi ? shorten(lastAi.content_text, 100) : "决策待整理")}
+
+## 后续行动
+${unresolved.length > 0 
+  ? unresolved.map(() => `- [ ] 待处理`).join("\n")
+  : "- [ ] 整理完整笔记"}
+
+## 标签
+${tags.length > 0 ? tags.map(t => `#${t}`).join(" ") : `#${item.conversation.platform} #待整理`}${reason ? ` #fallback` : ""}`;
 }
 
 function buildLocalFallback(
@@ -956,11 +961,12 @@ function buildCompressionNotice(
     (result) => result.source === "local_fallback"
   ).length;
   const llmCount = results.length - fallbackCount;
+  const modeLabel = mode === "compact" ? "AI Handoff" : "Knowledge Export";
 
   if (fallbackCount === 0) {
     return {
       tone: "default",
-      message: `${mode === "compact" ? "Compact" : "Summary"} export used the current LLM path for all selected threads.`,
+      message: `${modeLabel} 导出成功：已使用当前 LLM 设置处理所有 ${results.length} 个对话。`,
     };
   }
 
@@ -986,25 +992,25 @@ function buildCompressionNotice(
 ${diagnostic.technicalSummary}`
     : validationFeedback?.detail;
   const hint = diagnostic
-    ? "Check Settings > Model Access."
+    ? "请检查 Settings > Model Access 中的 LLM 配置。"
     : validationFeedback?.hint;
 
   if (llmCount === 0) {
     return {
       tone: "warning",
-      message: `${mode === "compact" ? "Compact" : "Summary"} export used structured local fallback for all selected threads.`,
-      title: "Local fallback used for all selected threads",
-      detail,
+      message: `${modeLabel} 导出：所有对话使用了本地 fallback 格式。`,
+      title: "LLM 压缩未生效",
+      detail: detail || "可能是 API Key 未配置或 LLM 服务暂时不可用。",
       technicalSummary,
-      hint,
+      hint: hint || "请检查 Settings > Model Access 中的配置。",
       diagnostic: diagnostic || null,
     };
   }
 
   return {
     tone: "warning",
-    message: `${mode === "compact" ? "Compact" : "Summary"} export used structured local fallback for ${fallbackCount} of ${results.length} selected threads.`,
-    title: `Local fallback used for ${fallbackCount} of ${results.length} selected threads`,
+    message: `${modeLabel} 导出：${llmCount}/${results.length} 个对话使用 LLM 压缩，${fallbackCount} 个使用本地 fallback。`,
+    title: `部分压缩使用 fallback`,
     detail,
     technicalSummary,
     hint,