Agent Loop and Task Dispatch Guide

A simple way to perform tasks through the Agent Loop (

run_agent_loop.bat

) based on GitHub issues.

Workflow

Register Issue: Register the problem or task on GitHub as an issue. (e.g.,
```
#123 Login error analysis
```
)
Request Task Creation: Ask the AI agent in the chat as follows:
"Based on GitHub issue #123, create a task document in
```
giipdb/dispatch
```
. Set the role to Developer."
Agent Action: The agent reads the issue content and creates a
```
giipdb/dispatch/TASK_[Date]_[ID].md
```
file.
Automatic Execution: The currently running Agent Loop (
```
run_agent_loop.bat
```
) detects the new file and starts the task.

If there are multiple issues, you can delegate the overall management to the Orchestrator.

Example Request:
"Orchestrator, check all currently open GitHub issues and distribute them as
```
giipdb/dispatch
```
task files to appropriate roles (Developer, Error Analyst, etc.)."
Effect: The Orchestrator analyzes the issues, breaks them down into independent task files, and creates files by assigning the most suitable roles.

Task Path:
```
.agent/dispatch
```
(Hidden) →
```
giipdb/dispatch
```
(Accessible top-level folder)
Synchronization Method: Simplified to a method where the user requests the agent as needed, instead of complex automatic scripts.

You can also manually write tasks by referring to the

giipdb/dispatch/TASK_TEMPLATE.md

file. The agent picks up the task when its Status is

Pending