Microsoft Reactor

In this session we will personalize the agent with skills — reusable knowledge bundles defined in Markdown with YAML frontmatter — and add conversation memory so it retains context across sessions. We will build a skill loader, implement automatic summarization to manage token budgets, and create a UI to toggle skills on and off in real time.
At the end we will have an agent that adapts its expertise based on loaded skills and remembers your preferences across conversations. Add a "Git Expert" skill or a "JavaScript Mentor" skill and watch the agent's behavior change. Your users can create custom skills without touching code.
Key Topics & Technologies:
Skill architecture (Markdown + YAML)
Markdown parsing and metadata extraction
In-memory caching and skill composition
Conversation memory and summarization strategies
Token budgeting and context window management
Skill UI with toggle controls
Workspace customization patterns