diff --git a/content/shared/extended-plugin-api.md b/content/shared/extended-plugin-api.md
index 58ea1a932..2ade6917c 100644
--- a/content/shared/extended-plugin-api.md
+++ b/content/shared/extended-plugin-api.md
@@ -15,7 +15,9 @@ The plugin API lets you:
 
 ## Get started with the shared API
 
-Each plugin automatically has access to the shared API through the `influxdb3_local` object. You don’t need to import any libraries. The API becomes available as soon as your plugin runs.
+Each plugin automatically has access to the shared API through the `influxdb3_local` object. You don't need to import any libraries. The API becomes available as soon as your plugin runs.
+
+If your plugin requires third-party Python packages (like `pandas`, `requests`, or `influxdb3-python`), see [Manage plugin dependencies](/influxdb3/version/plugins/#manage-plugin-dependencies) for installation instructions.
 
 ## Write data
 
diff --git a/content/shared/v3-core-plugins/_index.md b/content/shared/v3-core-plugins/_index.md
index cb90e7bce..46d4b2bd2 100644
--- a/content/shared/v3-core-plugins/_index.md
+++ b/content/shared/v3-core-plugins/_index.md
@@ -25,7 +25,7 @@ Once you have all the prerequisites in place, follow these steps to implement th
 - [Set up the Processing Engine](#set-up-the-processing-engine)
 - [Add a Processing Engine plugin](#add-a-processing-engine-plugin)
 - [Set up a trigger](#set-up-a-trigger)
-- [Advanced trigger configuration](#advanced-trigger-configuration)
+- [Manage plugin dependencies](#manage-plugin-dependencies)
 {{% show-in "enterprise" %}}
 - [Distributed cluster considerations](#distributed-cluster-considerations)
 {{% /show-in %}}
@@ -99,16 +99,11 @@ Visit the [influxdb3_plugins repository](https://github.com/influxdata/influxdb3
 
 #### Add example plugins
 
-You can either copy a plugin or retrieve it directly from the repository:
+You have two options for using example plugins:
 
-{{< code-tabs-wrapper >}}
+##### Option 1: Copy plugins locally
 
-{{% code-tabs %}}
-[Copy locally](#)
-[Fetch via gh:](#)
-{{% /code-tabs %}}
-
-{{% code-tab-content %}}  
+Clone the `influxdata/influxdb3_plugins` repository and copy plugins to your configured plugin directory:
 
 ```bash
 # Clone the repository
@@ -117,23 +112,25 @@ git clone https://github.com/influxdata/influxdb3_plugins.git
 # Copy a plugin to your configured plugin directory
 cp influxdb3_plugins/examples/schedule/system_metrics/system_metrics.py /path/to/plugins/
 ```
-{{% /code-tab-content %}}
 
-{{% code-tab-content %}}
-    
+##### Option 2: Reference plugins directly from GitHub
+
+Skip downloading plugins by referencing them directly from GitHub using the `gh:` prefix:
+
 ```bash
-# To retrieve and use a plugin directly from GitHub,
-#  use the `gh:` prefix in the plugin filename:
+# Create a trigger using a plugin from GitHub
 influxdb3 create trigger \
-    --trigger-spec "every:1m" \
-    --plugin-filename "gh:examples/schedule/system_metrics/system_metrics.py" \
-    --database my_database \
-    system_metrics
+  --trigger-spec "every:1m" \
+  --plugin-filename "gh:examples/schedule/system_metrics/system_metrics.py" \
+  --database my_database \
+  system_metrics
 ```
 
-{{% /code-tab-content %}}
+This approach:
 
-{{< /code-tabs-wrapper >}}
+- Ensures you're using the latest version
+- Simplifies updates and maintenance
+- Reduces local storage requirements
 
 Plugins have various functions such as: 
 
@@ -489,91 +486,9 @@ influxdb3 create trigger \
   auto_disable_processor
 ```
 
-## Advanced trigger configuration
+## Manage plugin dependencies
 
-After creating basic triggers, you can enhance your plugins with these advanced features:
 
-### Access community plugins from GitHub
-
-Skip downloading plugins by referencing them directly from GitHub:
-
-```bash
-# Create a trigger using a plugin from GitHub
-influxdb3 create trigger \
-  --trigger-spec "every:1m" \
-  --plugin-filename "gh:examples/schedule/system_metrics/system_metrics.py" \
-  --database my_database \
-  system_metrics
-```
-
-This approach:
-
-- Ensures you're using the latest version
-- Simplifies updates and maintenance
-- Reduces local storage requirements
-
-### Configure your triggers
-
-#### Pass configuration arguments
-
-Provide runtine configuration to your plugins:
-
-```bash
-# Pass threshold and email settings to a plugin
-Provide runtime configuration to your plugins:
-  --trigger-spec "every:1h" \
-  --plugin-filename "threshold_check.py" \
-  --trigger-arguments threshold=90,notify_email=admin@example.com \
-  --database my_database \
-  threshold_monitor
-```
-
-Your plugin accesses these values through the `args` parameter:
-
-```python
-def process_scheduled_call(influxdb3_local, call_time, args=None):
-    if args and "threshold" in args:
-        threshold = float(args["threshold"])
-        email = args.get("notify_email", "default@example.com")
-        
-        # Use the arguments in your logic
-        influxdb3_local.info(f"Checking threshold {threshold}, will notify {email}")
-```
-
-#### Set execution mode
-
-Choose between synchronous (default) or asynchronous execution:
-
-```bash
-# Allow multiple trigger instances to run simultaneously
-influxdb3 create trigger \
-  --trigger-spec "table:metrics" \
-  --plugin-filename "heavy_process.py" \
-  --run-asynchronous \
-  --database my_database \
-  async_processor
-```
-
-Use asynchronous execution when:
-
-- Processing might take longer than the trigger interval
-- Multiple events need to be handled simultaneously
-- Performance is more important than sequential execution
-
-#### Configure error handling
-
-Control how your trigger responds to errors:
-```bash
-# Automatically retry on error
-influxdb3 create trigger \
-  --trigger-spec "table:important_data" \
-  --plugin-filename "critical_process.py" \
-  --error-behavior retry \
-  --database my_database \
-  critical_processor
-```
-
-### Install Python dependencies
 
 Use the `influxdb3 install package` command to add third-party libraries (like `pandas`, `requests`, or `influxdb3-python`) to your plugin environment.  
 This installs packages into the Processing Engine’s embedded Python environment to ensure compatibility with your InfluxDB instance.