diff --git a/reasoning_gym/algorithmic/__init__.py b/reasoning_gym/algorithmic/__init__.py
index fec825d0..7d6d9f02 100644
--- a/reasoning_gym/algorithmic/__init__.py
+++ b/reasoning_gym/algorithmic/__init__.py
@@ -32,7 +32,7 @@ from .rotate_matrix import RotateMatrixConfig, RotateMatrixCurriculum, RotateMat
 from .rotten_oranges import RottenOrangesConfig, RottenOrangesDataset
 from .sentence_reordering import SentenceReorderingConfig, SentenceReorderingDataset
 from .spell_backward import SpellBackwardConfig, SpellBackwardDataset
-from .spiral_matrix import SpiralMatrixConfig, SpiralMatrixDataset
+from .spiral_matrix import SpiralMatrixConfig, SpiralMatrixCurriculum, SpiralMatrixDataset
 from .string_insertion import StringInsertionConfig, StringInsertionDataset
 from .string_manipulation import StringManipulationConfig, StringManipulationDataset
 from .string_splitting import StringSplittingConfig, StringSplittingDataset
@@ -82,6 +82,7 @@ __all__ = [
     "PalindromePartitioningDataset",
     "SpiralMatrixConfig",
     "SpiralMatrixDataset",
+    "SpiralMatrixCurriculum",
     "RansomNoteConfig",
     "RansomNoteDataset",
     "IsomorphicStringsConfig",
diff --git a/reasoning_gym/algorithmic/spiral_matrix.py b/reasoning_gym/algorithmic/spiral_matrix.py
index f895c628..52bf2785 100644
--- a/reasoning_gym/algorithmic/spiral_matrix.py
+++ b/reasoning_gym/algorithmic/spiral_matrix.py
@@ -8,6 +8,7 @@ from dataclasses import dataclass
 from random import Random
 from typing import Any, Optional
 
+from ..coaching import AttributeType, BaseCurriculum, RangeAttributeDefinition
 from ..factory import ProceduralDataset, register_dataset
 
 QUESTION_TEMPLATE = """Given a matrix, your job is to generate a list of elements in spiral order, starting from the top-left element.
@@ -30,6 +31,7 @@ For the matrix below, what is the list of elements in spiral order?
 class SpiralMatrixConfig:
     """Configuration for Spiral Matrix dataset generation"""
 
+    min_n: int = 2  # Minimum number of rows/cols in the matrix
     max_n: int = 10  # Maximum number of rows/cols in the matrix
 
     size: int = 500  # Virtual dataset size
@@ -37,7 +39,7 @@ class SpiralMatrixConfig:
 
     def validate(self):
         """Validate configuration parameters"""
-        assert 2 <= self.max_n, "max_n must be at least 2"
+        assert 2 <= self.min_n <= self.max_n, "min_n must be between 2 and max_n"
 
 
 class SpiralMatrixDataset(ProceduralDataset):
@@ -46,9 +48,8 @@ class SpiralMatrixDataset(ProceduralDataset):
     def __init__(self, config: SpiralMatrixConfig):
         super().__init__(config=config, seed=config.seed, size=config.size)
 
-    def _get_matrix(self, rng: Random) -> list[list[int]]:
+    def _get_matrix(self, rng: Random, n: int) -> list[list[int]]:
         """Generate a random matrix"""
-        n = rng.randint(2, self.config.max_n)
         numbers = [rng.randint(0, 9) for _ in range(n**2)]
         rng.shuffle(numbers)
         matrix = [numbers[i * n : (i + 1) * n] for i in range(n)]
@@ -100,7 +101,8 @@ class SpiralMatrixDataset(ProceduralDataset):
         """Generate a single Spiral Matrix question"""
         rng = Random(self.seed + idx)
 
-        matrix = self._get_matrix(rng)
+        n = rng.randint(2, self.config.max_n)
+        matrix = self._get_matrix(rng, n)
         matrix_str = self._matrix_to_str(matrix)
         answer = self._get_spiral(matrix)
         answer_str = self._list_to_str(answer)
@@ -108,7 +110,11 @@ class SpiralMatrixDataset(ProceduralDataset):
         return {
             "question": QUESTION_TEMPLATE.format(matrix=matrix_str),
             "answer": answer_str,
-            "metadata": {"matrix": matrix, "solution": answer},
+            "metadata": {
+                "matrix": matrix,
+                "solution": answer,
+                "difficulty": {"n": n},
+            },
         }
 
     def score_answer(self, answer: Optional[str], entry: dict[str, Any]) -> float:
@@ -133,4 +139,23 @@ class SpiralMatrixDataset(ProceduralDataset):
         return 0.0
 
 
-register_dataset("spiral_matrix", SpiralMatrixDataset, SpiralMatrixConfig)
+class SpiralMatrixCurriculum(BaseCurriculum):
+    def __init__(self):
+        super().__init__(SpiralMatrixCurriculum.__name__, SpiralMatrixConfig)
+
+        # Define attributes
+        self._define_attributes(
+            RangeAttributeDefinition(
+                name="n",
+                levels=[10, 25, 50, 100],
+                default_level=0,
+                description="Number of rows/cols in the matrix",
+                attr_type=AttributeType.APPEND,
+                min_value=2,
+                lower_field_name="min_n",
+                upper_field_name="max_n",
+            )
+        )
+
+
+register_dataset("spiral_matrix", SpiralMatrixDataset, SpiralMatrixConfig, SpiralMatrixCurriculum)
diff --git a/tests/test_spiral_matrix.py b/tests/test_spiral_matrix.py
index 9e5c510e..a6aec30e 100644
--- a/tests/test_spiral_matrix.py
+++ b/tests/test_spiral_matrix.py
@@ -2,7 +2,7 @@
 
 import pytest
 
-from reasoning_gym.algorithmic.spiral_matrix import SpiralMatrixConfig, SpiralMatrixDataset
+from reasoning_gym.algorithmic.spiral_matrix import SpiralMatrixConfig, SpiralMatrixCurriculum, SpiralMatrixDataset
 
 
 def test_spiral_matrix_config_validation():
@@ -96,3 +96,24 @@ def test_spiral_matrix_answer():
     entry = {"answer": "1 2 3 6 9 8 7 4 5"}
     answer = None
     assert dataset.score_answer(answer, entry) == 0.0
+
+
+def test_spiral_matrix_curriculum():
+    curriculum = SpiralMatrixCurriculum()
+
+    base_value = {"size": 150, "seed": 1}
+
+    base_cfg: SpiralMatrixConfig = curriculum.generate_configuration(base_value)
+    assert base_cfg.seed == 1
+    assert base_cfg.size == 150
+    assert base_cfg.min_n == 10 and base_cfg.max_n == 10
+
+    # test incrementing attribute levels
+    curriculum.increment_attr_level("n")
+    increased_cfg = curriculum.generate_configuration(base_value)
+    assert increased_cfg.min_n == 10 and increased_cfg.max_n == 25
+
+    # test decrementing attribute levels
+    curriculum.decrement_attr_level("n")
+    decreased_cfg = curriculum.generate_configuration(base_value)
+    assert decreased_cfg.min_n == 10 and decreased_cfg.max_n == 10