diff --git a/providers/standard/src/airflow/providers/standard/example_dags/example_branch_operator_decorator.py b/providers/standard/src/airflow/providers/standard/example_dags/example_branch_operator_decorator.py
index 3c8c2ba16057f..5648f3eab72c2 100644
--- a/providers/standard/src/airflow/providers/standard/example_dags/example_branch_operator_decorator.py
+++ b/providers/standard/src/airflow/providers/standard/example_dags/example_branch_operator_decorator.py
@@ -15,11 +15,19 @@
 # KIND, either express or implied.  See the License for the
 # specific language governing permissions and limitations
 # under the License.
-"""Example DAG demonstrating the usage of the branching TaskFlow API decorators.
+"""
+### Branching TaskFlow Decorator Example
+
+This DAG demonstrates the branching TaskFlow API decorators, which let a
+Python callable choose which downstream task(s) to run.
+
+**What this DAG shows:**
 
-It shows how to use standard Python ``@task.branch`` as well as the external Python
-version ``@task.branch_external_python`` which calls an external Python interpreter and
-the ``@task.branch_virtualenv`` which builds a temporary Python virtual environment.
+- `@task.branch` — branch on a standard Python task
+- `@task.branch_external_python` — branch on a callable run with an external
+  Python interpreter
+- `@task.branch_virtualenv` — branch on a callable run inside a temporary
+  Python virtual environment
 """
 
 from __future__ import annotations
@@ -42,6 +50,7 @@
     catchup=False,
     schedule="@daily",
     tags=["example", "example2"],
+    doc_md=__doc__,
 ) as dag:
     run_this_first = EmptyOperator(task_id="run_this_first")
 
diff --git a/providers/standard/src/airflow/providers/standard/example_dags/example_sensor_decorator.py b/providers/standard/src/airflow/providers/standard/example_dags/example_sensor_decorator.py
index 64ea80400ceb8..623e1802fcf20 100644
--- a/providers/standard/src/airflow/providers/standard/example_dags/example_sensor_decorator.py
+++ b/providers/standard/src/airflow/providers/standard/example_dags/example_sensor_decorator.py
@@ -37,6 +37,19 @@
     tags=["example"],
 )
 def example_sensor_decorator():
+    """
+    ### Sensor TaskFlow Decorator Example
+
+    This DAG demonstrates the `@task.sensor` decorator for building sensors as
+    TaskFlow tasks. A sensor task waits for an external condition before allowing
+    downstream tasks to run.
+
+    **What this DAG shows:**
+
+    - Defining a sensor task with `@task.sensor` (poke interval, timeout, mode)
+    - Returning a `PokeReturnValue` to signal completion and pass an XCom value
+    - Wiring the sensor to a downstream task with `>>`
+    """
     # [END instantiate_dag]
 
     # [START wait_function]
diff --git a/providers/standard/src/airflow/providers/standard/example_dags/example_short_circuit_decorator.py b/providers/standard/src/airflow/providers/standard/example_dags/example_short_circuit_decorator.py
index 598778edfd82e..a6b7519f20e75 100644
--- a/providers/standard/src/airflow/providers/standard/example_dags/example_short_circuit_decorator.py
+++ b/providers/standard/src/airflow/providers/standard/example_dags/example_short_circuit_decorator.py
@@ -27,6 +27,21 @@
 
 @dag(schedule=None, start_date=pendulum.datetime(2021, 1, 1, tz="UTC"), catchup=False, tags=["example"])
 def example_short_circuit_decorator():
+    """
+    ### Short Circuit TaskFlow Decorator Example
+
+    This DAG demonstrates the `@task.short_circuit()` TaskFlow decorator. A
+    short-circuit task evaluates a Python callable that returns a truthy or
+    falsy value: when falsy, downstream tasks are skipped without running.
+
+    **What this DAG shows:**
+
+    - Defining a short-circuit task with `@task.short_circuit()`
+    - Branching execution paths based on a Python condition
+    - Combining short-circuit decisions with explicit `trigger_rule`s on
+      downstream tasks via `ignore_downstream_trigger_rules=False`
+    """
+
     # [START howto_operator_short_circuit]
     @task.short_circuit()
     def check_condition(condition):