fix(desktop): add artifact scanning for all 6 standalone experts in task panel

- Gateway paths (zhihu/wechat/content-planner) now do snapshot diff instead
  of hardcoded artifacts: [] — scan projectRoot + runtime/workspace/
- Handoff paths (geo workspace executor → gateway) now capture artifacts
  after the gateway call, not before when files haven't been generated yet
- Add collectWorkspaceExecutionArtifacts extraScanRoots parameter for
  scanning additional directories beyond projectRoot
- Exclude session-messages/ from artifact scanning to avoid false positives
- Add isWechatProject/isContentPlannerProject/isGeoProject helpers and
  extend resolveTaskPanelExpertName for 3 new expert name mappings
- Guard projectSkillRouter.resolve() behind bundled-runtime mode check
  to prevent "skills require bundled runtime" error in external-gateway mode
- Remove automation task panel recording (定时任务 excluded from workbench)
- UI: replace single douyin filter with per-expert artifact extension rules
  (expertArtifactExtensionRules), filter home-chat experts from workbench,
  restore 📦 emoji icon, update mock data for all 6 experts
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

apps/desktop/src/main/services/project-workspace-executor.ts

@@ -101,6 +101,7 @@ export interface CollectWorkspaceExecutionArtifactsInput {
   projectRoot: string;
   beforeSnapshot: WorkspaceArtifactSnapshot;
   assistantSummary?: string;
+  extraScanRoots?: string[];
 }
 
 function toErrorMessage(error: unknown): string {
@@ -198,6 +199,9 @@ function shouldSkipWorkspaceArtifactPath(relativePath: string): boolean {
   if (segments[0] === "inputs") {
     return true;
   }
+  if (segments[0] === "session-messages") {
+    return true;
+  }
   return false;
 }
 
@@ -269,16 +273,31 @@ async function scanWorkspaceArtifacts(
   }
 }
 
-export async function createWorkspaceArtifactSnapshot(projectRoot: string): Promise<WorkspaceArtifactSnapshot> {
+export async function createWorkspaceArtifactSnapshot(
+  projectRoot: string,
+  extraScanRoots?: string[]
+): Promise<WorkspaceArtifactSnapshot> {
   const snapshot: WorkspaceArtifactSnapshot = new Map();
   await scanWorkspaceArtifacts(projectRoot, projectRoot, snapshot);
+  if (extraScanRoots) {
+    for (const extraRoot of extraScanRoots) {
+      try {
+        const extraStat = await stat(extraRoot);
+        if (extraStat.isDirectory()) {
+          await scanWorkspaceArtifacts(extraRoot, extraRoot, snapshot);
+        }
+      } catch {
+        // extra root not accessible — skip
+      }
+    }
+  }
   return snapshot;
 }
 
 export async function collectWorkspaceExecutionArtifacts(
   input: CollectWorkspaceExecutionArtifactsInput
 ): Promise<TaskPanelArtifact[]> {
-  const afterSnapshot = await createWorkspaceArtifactSnapshot(input.projectRoot);
+  const afterSnapshot = await createWorkspaceArtifactSnapshot(input.projectRoot, input.extraScanRoots);
   const changedEntries = [...afterSnapshot.values()]
     .filter((entry) => {
       const before = input.beforeSnapshot.get(entry.relativePath);
@@ -466,7 +485,10 @@ export class ProjectWorkspaceExecutorService {
     const paths = this.runtimeManager.resolveBundledPaths();
     const automationCommand = await resolveProjectAutomationCommand(input.projectRoot, input, paths.pythonExecutable);
     const runnerScriptPath = automationCommand ? null : await resolveRunnerScriptPath();
-    const beforeArtifactSnapshot = await createWorkspaceArtifactSnapshot(input.projectRoot);
+    const beforeArtifactSnapshot = await createWorkspaceArtifactSnapshot(
+      input.projectRoot,
+      [path.join(paths.runtimeDataDir, "workspace")]
+    );
 
     const vendorPackageDir = path.join(paths.runtimeDir, "openclaw", "package");
     const instrumentationDir = path.join(paths.runtimeDataDir, "workspace-runner", "instrumented-modules");
@@ -531,7 +553,8 @@ export class ProjectWorkspaceExecutorService {
       const collectArtifacts = (assistantSummary?: string) => collectWorkspaceExecutionArtifacts({
         projectRoot: input.projectRoot,
         beforeSnapshot: beforeArtifactSnapshot,
-        assistantSummary
+        assistantSummary,
+        extraScanRoots: [path.join(paths.runtimeDataDir, "workspace")]
       }).catch(() => []);
 
       child.stdout.setEncoding("utf8");

apps/ui/src/features/tasks/TaskPanelView.tsx

@@ -23,7 +23,7 @@ function resolveTaskExpertIconKey(expertName: string): ExpertVisualKey {
   if (/zhihu|知乎/.test(seed)) {
     return "zhihu"
   }
-  if (/content-account|planner|账号规划|内容账号规划/.test(seed)) {
+  if (/content-account|planner|账号规划|内容账号规划|内容创作|内容规划/.test(seed)) {
     return "planner"
   }
   if (/precision-leads|线索|lead/.test(seed)) {
@@ -38,7 +38,7 @@ function resolveTaskExpertIconKey(expertName: string): ExpertVisualKey {
   if (/(^|[\s-])x($|[\s-])|twitter/.test(seed)) {
     return "x"
   }
-  if (/geo/.test(seed)) {
+  if (/geo|AI推荐|推荐引擎/.test(seed)) {
     return "geo"
   }
   if (/browser|automation|chrome|playwright|web|浏览器|自动化/.test(seed)) {
@@ -110,15 +110,6 @@ function TaskPanelOutputIcon({ artifact }: { artifact: TaskPanelArtifact }) {
   )
 }
 
-function TaskPanelPackageIcon() {
-  return (
-    <svg viewBox="0 0 24 24" aria-hidden="true" focusable="false">
-      <path d="M4.75 8.15 12 4.2l7.25 3.95v7.7L12 19.8l-7.25-3.95v-7.7Z" fill="none" stroke="currentColor" strokeLinejoin="round" strokeWidth="1.7" />
-      <path d="m4.95 8.35 7.05 3.9 7.05-3.9M12 12.25v7.25M8.35 6.2l7.25 4" fill="none" stroke="currentColor" strokeLinecap="round" strokeLinejoin="round" strokeWidth="1.55" />
-    </svg>
-  )
-}
-
 function TaskPanelStatCards({ items }: { items: TaskPanelItem[] }) {
   const summary = useMemo(() => summarizeTaskPanelItems(items), [items])
   const stats = [
@@ -203,7 +194,7 @@ function TaskPanelOutputList({ outputs }: { outputs: TaskPanelOutputItem[] }) {
       <div className="task-panel-output-header">
         <div className="task-panel-output-heading">
           <span className="task-panel-output-heading-icon" aria-hidden="true">
-            <TaskPanelPackageIcon />
+            📦
           </span>
           <h2>内容产出</h2>
         </div>

apps/ui/src/features/tasks/taskPanelData.ts

@@ -7,10 +7,28 @@ export interface TaskPanelSummary {
   employeeCount: number
 }
 
-const douyinVisibleArtifactExtensions = new Set([".docx", ".mp4"])
+const expertArtifactExtensionRules: { pattern: RegExp; extensions: Set<string> }[] = [
+  { pattern: /小红书|xiaohongshu|xhs|rednote/i,       extensions: new Set([".md", ".docx", ".xlsx", ".png", ".jpg"]) },
+  { pattern: /抖音|douyin/i,                           extensions: new Set([".docx", ".mp4"]) },
+  { pattern: /微信|公众号|wechat|weixin/i,              extensions: new Set([".md", ".docx", ".xlsx"]) },
+  { pattern: /知乎|zhihu/i,                            extensions: new Set([".md", ".docx", ".xlsx"]) },
+  { pattern: /内容创作|内容规划|内容账号|content-account|planner/i, extensions: new Set([".md", ".docx", ".xlsx", ".csv", ".pdf"]) },
+  { pattern: /AI推荐|推荐引擎|geo/i,                    extensions: new Set([".md", ".xlsx", ".csv"]) }
+]
+
+const standaloneExpertPatterns: RegExp[] = expertArtifactExtensionRules.map((rule) => rule.pattern)
 
-function isDouyinTaskPanelExpert(expertName: string) {
-  return /douyin|抖音/.test(expertName.toLowerCase())
+function isStandaloneExpert(expertName: string): boolean {
+  return standaloneExpertPatterns.some((pattern) => pattern.test(expertName))
+}
+
+function resolveExpertArtifactExtensions(expertName: string): Set<string> | null {
+  for (const rule of expertArtifactExtensionRules) {
+    if (rule.pattern.test(expertName)) {
+      return rule.extensions
+    }
+  }
+  return null
 }
 
 function getTaskPanelArtifactExtension(artifact: TaskPanelArtifact) {
@@ -21,11 +39,12 @@ function getTaskPanelArtifactExtension(artifact: TaskPanelArtifact) {
 }
 
 export function getVisibleTaskPanelArtifacts(task: Pick<TaskPanelItem, "expertName" | "artifacts">) {
-  if (!isDouyinTaskPanelExpert(task.expertName)) {
+  const allowedExtensions = resolveExpertArtifactExtensions(task.expertName)
+  if (!allowedExtensions) {
     return task.artifacts
   }
 
-  return task.artifacts.filter((artifact) => douyinVisibleArtifactExtensions.has(getTaskPanelArtifactExtension(artifact)))
+  return task.artifacts.filter((artifact) => allowedExtensions.has(getTaskPanelArtifactExtension(artifact)))
 }
 
 function toDateInputValue(date: Date) {
@@ -125,51 +144,42 @@ export const mockTaskPanelItems: TaskPanelItem[] = [
     ]
   },
   {
-    id: "mock-task-leads",
+    id: "mock-task-wechat-article",
     date: getDefaultTaskPanelDate(),
-    expertName: "平台精准线索专家",
-    taskTitle: "筛选高意向线索名单",
-    status: "pending",
-    statusDetail: "等待线索表上传后开始处理",
-    creditsUsed: 0,
-    messageCount: 4,
-    updatedAt: "12:10",
-    artifacts: []
-  },
-  {
-    id: "mock-task-poster",
-    date: toDateInputValue(addDays(new Date(), -1)),
-    expertName: "海报专家",
-    taskTitle: "生成活动海报文案",
-    status: "failed",
-    statusDetail: "素材包缺少主视觉图片",
-    creditsUsed: 360,
-    messageCount: 12,
-    updatedAt: "18:22",
+    expertName: "微信公众号运营",
+    taskTitle: "撰写公众号推文与涨粉计划",
+    status: "completed",
+    statusDetail: "已完成推文草稿、排版建议和涨粉策略",
+    creditsUsed: 1050,
+    messageCount: 28,
+    updatedAt: "14:15",
     artifacts: [
-      { id: "artifact-poster-brief", name: "活动海报文案草稿.txt", kind: "文档", summary: "活动主题、主标题和利益点文案草稿。", url: "/Users/edy/Documents/qianjiangclaw/tasks/poster/活动海报文案草稿.txt" }
+      { id: "artifact-wechat-draft", name: "公众号推文草稿.md", kind: "文档", summary: "推文正文、标题方案和封面图建议。", url: "/Users/edy/Documents/qianjiangclaw/tasks/wechat/公众号推文草稿.md" },
+      { id: "artifact-wechat-plan", name: "涨粉运营计划.docx", kind: "文档", summary: "月度涨粉目标、活动策划和转化路径。", url: "/Users/edy/Documents/qianjiangclaw/tasks/wechat/涨粉运营计划.docx" },
+      { id: "artifact-wechat-calendar", name: "推文排期表.xlsx", kind: "表格", summary: "按日期拆分的选题、撰稿人和发布状态。", url: "/Users/edy/Documents/qianjiangclaw/tasks/wechat/推文排期表.xlsx" }
     ]
   },
   {
-    id: "mock-task-yesterday-leads",
-    date: toDateInputValue(addDays(new Date(), -1)),
-    expertName: "平台精准线索专家",
-    taskTitle: "清洗昨日线索表",
+    id: "mock-task-geo-optimize",
+    date: getDefaultTaskPanelDate(),
+    expertName: "AI推荐引擎优化",
+    taskTitle: "优化品牌在AI搜索引擎中的可见性",
     status: "completed",
-    statusDetail: "已完成重复线索剔除和等级标注",
-    creditsUsed: 520,
-    messageCount: 16,
-    updatedAt: "17:40",
+    statusDetail: "已完成关键词分析、内容优化建议和技术审计",
+    creditsUsed: 880,
+    messageCount: 22,
+    updatedAt: "15:30",
     artifacts: [
-      { id: "artifact-yesterday-leads", name: "昨日高意向线索清单.xlsx", kind: "表格", summary: "线索分级、跟进优先级和备注字段。", url: "/Users/edy/Documents/qianjiangclaw/tasks/leads/昨日高意向线索清单.xlsx" },
-      { id: "artifact-yesterday-followup", name: "跟进话术建议.md", kind: "文档", summary: "按线索来源拆分的首轮沟通建议。", url: "/Users/edy/Documents/qianjiangclaw/tasks/leads/跟进话术建议.md" }
+      { id: "artifact-geo-report", name: "AI搜索可见性优化报告.md", kind: "文档", summary: "品牌在主流AI搜索引擎中的现状分析与优化建议。", url: "/Users/edy/Documents/qianjiangclaw/tasks/geo/AI搜索可见性优化报告.md" },
+      { id: "artifact-geo-keywords", name: "GEO关键词矩阵.xlsx", kind: "表格", summary: "按搜索意图分类的关键词覆盖率和竞争度。", url: "/Users/edy/Documents/qianjiangclaw/tasks/geo/GEO关键词矩阵.xlsx" }
     ]
   }
 ]
 
 export function summarizeTaskPanelItems(items: TaskPanelItem[]): TaskPanelSummary {
-  const employeeCount = new Set(items.map((item) => item.expertName)).size
-  const summary = items.reduce<TaskPanelSummary>((nextSummary, item) => {
+  const standaloneItems = items.filter((item) => isStandaloneExpert(item.expertName))
+  const employeeCount = new Set(standaloneItems.map((item) => item.expertName)).size
+  const summary = standaloneItems.reduce<TaskPanelSummary>((nextSummary, item) => {
     nextSummary.creditsUsed += item.creditsUsed ?? 0
     nextSummary.messageCount += item.messageCount ?? 0
     nextSummary.artifactCount += getVisibleTaskPanelArtifacts(item).length
@@ -185,8 +195,11 @@ export function summarizeTaskPanelItems(items: TaskPanelItem[]): TaskPanelSummar
 }
 
 export async function loadTaskPanelItems(date: string): Promise<TaskPanelItem[]> {
+  let items: TaskPanelItem[]
   if (typeof window !== "undefined" && window.qjcDesktop) {
-    return window.qjcDesktop.tasks.listByDate(date)
+    items = await window.qjcDesktop.tasks.listByDate(date)
+  } else {
+    items = mockTaskPanelItems.filter((item) => item.date === date)
   }
-  return mockTaskPanelItems.filter((item) => item.date === date)
+  return items.filter((item) => isStandaloneExpert(item.expertName))
 }