Add support for JSON prompts alongside TEXT prompt type

- Add 'type' column to prompts.csv to distinguish JSON vs TEXT prompts
- Update script.js to render JSON prompts with syntax highlighting
- Add JSON type badge to prompt cards
- Update showModal to handle JSON prompts properly
- Add CSS styles for JSON syntax highlighting and type badges
- Add 3 JSON prompt examples (API Response Generator, Code Review Assistant, Data Transformer)
- Update CSV linter workflow to validate the new 'type' column
- Update README.md with JSON prompt examples using code blocks

Co-Authored-By: Fatih Kadir Akın <[email protected]>

Author: devin-ai-integration[bot]

.github/workflows/csv_linter.yml

@@ -37,16 +37,21 @@ jobs:
           with open("prompts.csv", "r", encoding="utf-8") as f:
               reader = csv.reader(f)
               headers = next(reader)
-              if headers != ["act", "prompt", "for_devs"]:
-                  print("Error: CSV headers must be exactly [act, prompt, for_devs]")
+              if headers != ["act", "prompt", "for_devs", "type"]:
+                  print("Error: CSV headers must be exactly [act, prompt, for_devs, type]")
                   exit(1)
-              for row_num, row in enumerate(reader, 3):
-                  if len(row) != 3:
-                      print(f"Error: Row {row_num} has {len(row)} columns, expected 2")
+              valid_types = ["TEXT", "JSON"]
+              for row_num, row in enumerate(reader, 2):
+                  if len(row) != 4:
+                      print(f"Error: Row {row_num} has {len(row)} columns, expected 4")
                       exit(1)
-                  if not row[0] or not row[1] or not row[2]:
+                  if not row[0] or not row[1] or not row[2] or not row[3]:
                       print(f"Error: Row {row_num} has empty values")
                       exit(1)
+                  if row[3] not in valid_types:
+                      print(f"Error: Row {row_num} has invalid type \"{row[3]}\". Must be TEXT or JSON")
+                      exit(1)
+          print("CSV format OK")
           '; then
             echo "::error::CSV format check failed"
             exit 1

README.md

@@ -2788,6 +2788,85 @@ Contributed by: [@ErdagEge](https://github.com/ErdagEge)
 > Your tone should be friendly, patient and curiosity-driven-making difficult topics feel 
 > intuitive, engaging and interesting.
 
+## Act as API Response Generator (JSON)
+
+Contributed by: [@f](https://github.com/f)
+
+```json
+{
+  "role": "API Response Generator",
+  "task": "Generate realistic API responses",
+  "input": {
+    "endpoint": "/api/users",
+    "method": "GET",
+    "description": "Return a list of users with pagination"
+  },
+  "output_format": {
+    "success": true,
+    "data": [],
+    "pagination": {
+      "page": 1,
+      "limit": 10,
+      "total": 0
+    }
+  },
+  "instructions": "Generate realistic mock data following this schema"
+}
+```
+
+## Act as Code Review Assistant (JSON)
+
+Contributed by: [@f](https://github.com/f)
+
+```json
+{
+  "role": "Code Review Assistant",
+  "context": {
+    "language": "JavaScript",
+    "framework": "React",
+    "focus_areas": ["performance", "security", "best_practices"]
+  },
+  "review_format": {
+    "severity": "high|medium|low",
+    "category": "string",
+    "line_number": "number",
+    "suggestion": "string",
+    "code_example": "string"
+  },
+  "instructions": "Review the provided code and return findings in the specified JSON format"
+}
+```
+
+## Act as Data Transformer (JSON)
+
+Contributed by: [@f](https://github.com/f)
+
+```json
+{
+  "role": "Data Transformer",
+  "input_schema": {
+    "type": "array",
+    "items": {
+      "name": "string",
+      "email": "string",
+      "age": "number"
+    }
+  },
+  "output_schema": {
+    "type": "object",
+    "properties": {
+      "users_by_age_group": {
+        "under_18": [],
+        "18_to_30": [],
+        "over_30": []
+      },
+      "total_count": "number"
+    }
+  },
+  "instructions": "Transform the input data according to the output schema"
+}
+```
+
 ## Contributors 😍
 
 Many thanks to these AI whisperers: