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/ingestion/package.json

@@ -2,6 +2,7 @@
   "name": "ingestion",
   "version": "0.1.0",
   "private": true,
+  "type": "module",
   "scripts": {
     "dev": "tsx watch src/index.ts",
     "build": "tsc",
@@ -10,21 +11,22 @@
     "migrate:qdrant": "tsx src/migrations/002_qdrant_setup.ts"
   },
   "dependencies": {
-    "fastify": "^4",
     "@anthropic-ai/sdk": "^0.24",
-    "openai": "^4",
     "@qdrant/js-client-rest": "^1.9",
-    "pocketbase": "^0.21",
+    "fastify": "^4",
+    "openai": "^4",
     "pdf-parse": "^1.1",
+    "pocketbase": "^0.21",
     "uuid": "^9",
     "zod": "^3"
   },
   "devDependencies": {
-    "typescript": "^5",
-    "tsx": "^4",
-    "dotenv": "^16",
     "@types/node": "^20",
     "@types/pdf-parse": "^1.1",
-    "@types/uuid": "^9"
+    "@types/uuid": "^9",
+    "dotenv": "^16",
+    "pdfkit": "^0.18.0",
+    "tsx": "^4",
+    "typescript": "^5"
   }
 }