diff --git a/.github/pre-commit.yml b/.github/workflows/pre-commit.yml
similarity index 100%
rename from .github/pre-commit.yml
rename to .github/workflows/pre-commit.yml
diff --git a/.github/publish_package.yml b/.github/workflows/publish_package.yml
similarity index 100%
rename from .github/publish_package.yml
rename to .github/workflows/publish_package.yml
diff --git a/.github/tests.yml b/.github/workflows/tests.yml
similarity index 100%
rename from .github/tests.yml
rename to .github/workflows/tests.yml
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 28f2b41..0277a5d 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -5,6 +5,12 @@ repos:
 #   - id: pyright
 #     exclude: ^tests/.*
 #     additional_dependencies: [pyarrow, shapely, geojson-pydantic]
+  - repo: https://github.com/PyCQA/docformatter
+    rev: v1.7.5
+    hooks:
+      - id: docformatter
+        additional_dependencies: [tomli]
+        args: [--black, --in-place]
 
   - repo: https://github.com/pre-commit/pre-commit-hooks
     rev: v4.4.0
diff --git a/geoparquet_pydantic/convert.py b/geoparquet_pydantic/convert.py
index 5a06e8b..78327bd 100644
--- a/geoparquet_pydantic/convert.py
+++ b/geoparquet_pydantic/convert.py
@@ -86,7 +86,8 @@ def geojson_to_geoparquet(
     geo_metadata: GeoParquetMetadata | dict | None = None,
     **kwargs,
 ) -> pyarrow.Table:
-    """Converts a GeoJSON Pydantic FeatureCollection to an Arrow table with geoparquet metadata.
+    """Converts a GeoJSON Pydantic FeatureCollection to an Arrow table with geoparquet
+    metadata.
 
     To save to a file, simply use pyarrow.parquet.write_table() on the returned table.
 
@@ -192,7 +193,8 @@ def geoparquet_to_geojson(
     max_chunksize: Optional[int] = None,
     max_workers: Optional[int] = None,
 ) -> FeatureCollection:
-    """Converts an Arrow table with GeoParquet metadata to a GeoJSON Pydantic FeatureCollection.
+    """Converts an Arrow table with GeoParquet metadata to a GeoJSON Pydantic
+    FeatureCollection.
 
     Args:
         geoparquet (pyarrow.Table): Either an Arrow.Table or parquet with GeoParquet metadata.
diff --git a/geoparquet_pydantic/schemas.py b/geoparquet_pydantic/schemas.py
index eb6baa4..d10a5f2 100644
--- a/geoparquet_pydantic/schemas.py
+++ b/geoparquet_pydantic/schemas.py
@@ -68,7 +68,7 @@ class GeometryColumnMetadata(BaseModel):
     @field_validator("crs")
     @classmethod
     def convert_crs_to_projjson(cls, v) -> str:
-        """Parse a CRS string and return a PROJJSON string"""
+        """Parse a CRS string and return a PROJJSON string."""
         try:
             crs = CRS.from_string(v)
             return crs.to_json()
diff --git a/geoparquet_pydantic/validate.py b/geoparquet_pydantic/validate.py
index d016ee7..c1ef169 100644
--- a/geoparquet_pydantic/validate.py
+++ b/geoparquet_pydantic/validate.py
@@ -5,7 +5,6 @@
 """
 
 import ast
-import warnings
 import pyarrow
 from geoparquet_pydantic.schemas import (
     GeoParquetMetadata,
@@ -42,7 +41,6 @@ def validate_geoparquet_table(
 
     Returns:
         bool: True if the metadata is valid, False otherwise.
-
     """
     if not primary_column:
         primary_column = "geometry"
diff --git a/tests/test_conversions.py b/tests/test_conversions.py
index 97fd038..46a22a4 100644
--- a/tests/test_conversions.py
+++ b/tests/test_conversions.py
@@ -154,7 +154,8 @@ def test_validate_column_schema(
 def test_geojson_to_geoparquet(
     valid_geojson_obj: FeatureCollection,
 ):
-    """Test the conversion of a valid GeoJSON file and pydantic object to a valid GeoParquet table."""
+    """Test the conversion of a valid GeoJSON file and pydantic object to a valid
+    GeoParquet table."""
 
     # convert the GeoJSON object to a GeoParquet table with minimal optional
     table = geojson_to_geoparquet(valid_geojson_obj)
diff --git a/tests/test_schemas.py b/tests/test_schemas.py
index 6245007..abd6b82 100644
--- a/tests/test_schemas.py
+++ b/tests/test_schemas.py
@@ -32,7 +32,7 @@ def test_good_geo_column_metadata(good_geo_column_metadata):
 
 
 def test_bad_geo_column_metadata(good_geo_column_metadata):
-    """Test that the GeoColumnMetadata raises an error when given bad data"""
+    """Test that the GeoColumnMetadata raises an error when given bad data."""
 
     # Test bad encoding
     bad_encoding = good_geo_column_metadata.copy()