Add project documentation and reference materials

Include Luna AI Assistant design docs covering channels, configuration,
core architecture, memory, scheduler, and skills. Add reference docs
from OpenClaw and ZeroClaw projects, plus Mistral and OpenAI API specs.

Documentation/Luna AI Assistant/Scheduler.md

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+# Scheduler
+
+> [!info] Status: Not Yet Implemented
+> This module is planned for a future development phase.
+
+The Scheduler provides a mechanism for Luna to handle time-based operations and periodic tasks. It acts as a temporal bridge between [[Core]] and [[Memory]], ensuring that scheduled actions are executed reliably and within the specified context.
+
+## Purpose
+The primary role of the Scheduler is to periodically scan [[Memory]] for pending tasks and coordinate their execution. It manages the lifecycle of long-running or deferred operations, ensuring they are handed off to the appropriate Agents at the right time.
+
+## Planned Features
+- **Recurring Tasks**: Support for daily, weekly, or interval-based execution patterns.
+- **Task Dependencies**: Ability to chain tasks so that one starts only after another completes successfully.
+- **Priority Queue**: Management of task urgency to ensure critical system operations take precedence.
+- **Cron Scheduling**: Standardized string-based scheduling for precise control over execution times.
+
+## Architecture & Integration
+The Scheduler is expected to integrate deeply with the following modules:
+- **[[Core]]**: For task execution logic and agent coordination.
+- **[[Memory]]**: To persist task states and schedules.
+
+## Likely Dependencies
+To ensure robust background execution, the module will likely utilize:
+- `Microsoft.Extensions.Hosting`: Leveraging `IHostedService` or `BackgroundService` for long-lived process management within the .NET ecosystem.