feat(ai): add local expert library

backend/scripts/sync-ai-experts.mjs

@@ -0,0 +1,43 @@
+import { mkdir, readFile, writeFile } from 'node:fs/promises'
+import path from 'node:path'
+
+const sourceRoot = process.argv[2]
+const assetPath = process.argv[3]
+
+if (!sourceRoot || !assetPath) {
+  throw new Error('usage: node backend/scripts/sync-ai-experts.mjs <agency-agents-zh-dir> <experts-asset.js>')
+}
+
+const asset = await readFile(assetPath, 'utf8')
+const catalogMatch = asset.match(/^const e=JSON\.parse\(('(?:\\.|[^'])*')\)/s)
+if (!catalogMatch) throw new Error('Chinese expert catalog was not found in the supplied asset')
+
+const encodedCatalog = Function(`"use strict"; return ${catalogMatch[1]}`)()
+const summaries = JSON.parse(encodedCatalog)
+const experts = []
+
+for (const summary of summaries) {
+  const promptPath = path.join(sourceRoot, summary.category, `${summary.id}.md`)
+  const systemPrompt = await readFile(promptPath, 'utf8')
+  experts.push({
+    slug: summary.id,
+    category: summary.category,
+    categoryName: summary.categoryName,
+    name: summary.name,
+    description: summary.description,
+    emoji: summary.emoji,
+    color: summary.color,
+    systemPrompt,
+  })
+}
+
+const outputPath = path.resolve('backend/internal/models/experts_catalog.json')
+await mkdir(path.dirname(outputPath), { recursive: true })
+await writeFile(outputPath, `${JSON.stringify({
+  source: 'https://github.com/jnMetaCode/agency-agents-zh',
+  reference: 'https://ao.aiolaola.com/experts',
+  license: 'MIT',
+  experts,
+}, null, 2)}\n`, 'utf8')
+
+console.log(`wrote ${experts.length} experts to ${outputPath}`)