Add specifications for gamification, generation, and R42 chat services

- Introduced gamification service spec detailing responsibilities, API surface, XP calculation, levels, streaks, badges, milestone cards, and heatmap data.
- Added generation service spec outlining the process for generating micro learning content, including API endpoints, AI call configuration, prompt strategies, and error handling.
- Created R42 chat service spec covering chatbot interactions, retrieval pipeline, prompt construction, response generation, and stateless design principles.

app/services/curriculum/src/lib/anthropic.ts

@@ -0,0 +1,9 @@
+import Anthropic from '@anthropic-ai/sdk';
+
+export const anthropic = new Anthropic({
+  apiKey: process.env['ANTHROPIC_API_KEY'],
+});
+
+export const MODELS = {
+  SONNET: 'claude-sonnet-4-20250514',
+} as const;

app/services/curriculum/src/lib/pocketbase.ts

@@ -0,0 +1,14 @@
+import PocketBase from 'pocketbase';
+
+const POCKETBASE_URL = process.env['POCKETBASE_URL'] ?? '';
+const POCKETBASE_ADMIN_EMAIL = process.env['POCKETBASE_ADMIN_EMAIL'] ?? '';
+const POCKETBASE_ADMIN_PASSWORD = process.env['POCKETBASE_ADMIN_PASSWORD'] ?? '';
+
+const pb = new PocketBase(POCKETBASE_URL);
+
+export async function getPocketBase(): Promise<PocketBase> {
+  if (!pb.authStore.isValid) {
+    await pb.admins.authWithPassword(POCKETBASE_ADMIN_EMAIL, POCKETBASE_ADMIN_PASSWORD);
+  }
+  return pb;
+}