semantic-kernel-setup

Solid

Microsoft Semantic Kernel planner and plugin setup for orchestrated AI

AI & Automation 814 stars 53 forks Updated today MIT

Install

View on GitHub

Quality Score: 93/100

Stars 20%
97
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
49
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Semantic Kernel Setup Skill ## Capabilities - Configure Semantic Kernel with AI services - Create semantic and native functions (plugins) - Set up planners (Handlebars, Stepwise) - Implement memory connectors - Design kernel function chains - Configure automatic function calling ## Target Processes - function-calling-agent - plan-and-execute-agent ## Implementation Details ### Core Components 1. **Kernel**: Central orchestrator 2. **Plugins**: Collections of functions 3. **Planners**: Goal to action decomposition 4. **Memory**: Context and semantic storage ### Planner Types - Handlebars Planner - Stepwise Planner - Function Calling Stepwise ### Configuration Options - AI service connectors (OpenAI, Azure) - Plugin registration - Planner selection - Memory backend - Logging and telemetry ### Best Practices - Clear function descriptions - Appropriate planner selection - Plugin organization - Error handling patterns ### Dependencies - semantic-kernel

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

Integrates with

Related Skills