# September Release #1, 2024
The following updates have been implemented in AG5’s skills management software.
#### Enhanced Custom Exports for Prerequisites and Groupings
You can now export all available fields in Prerequisites and Groupings, including subgroupings, prerequisites, and related fields. This allows for more comprehensive and detailed data exports, so you can capture the full scope of your configurations and dependencies – and better manage and analyze your data externally.
#### Expanded Data Export Capabilities in the Alert List
Our Alert list feature now supports the export of large datasets – up to several hundred thousand rows. This allows you to handle and analyze extensive data sets without affecting performance.
#### Improved Performance
We’ve significantly enhanced performance when managing and navigating large and complex skill prerequisites. This means faster load times and a smoother, more responsive user experience – even for complex prerequisite structures.
#### Redesigned Electronic Record File for Resolved Approvals
We’ve redesigned electronic record files for resolved approvals. They are available for download from the History page, and now include a new look and additional details. This should enhance the records’ clarity and utility, allowing for better tracking and auditing of approval processes.
#### Bug Fixes and System Enhancements
We've dedicated significant resources to fixing bugs, especially those affecting approval processes and reauthentication mechanisms. These fixes are part of our commitment to providing a seamless and secure user experience, with fewer interruptions and enhanced security during your daily operations.
---
# Agent Instructions: Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.
Perform an HTTP GET request on the current page URL with the `ask` query parameter:
```
GET https://docs.ag5.com/release-notes/2024-updates/september-release-1-2024.md?ask=
```
The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.
Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.