semantic-kernel-setup
Microsoft Semantic Kernel planner and plugin setup for orchestrated AI
Best use case
semantic-kernel-setup is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Microsoft Semantic Kernel planner and plugin setup for orchestrated AI
Teams using semantic-kernel-setup should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/semantic-kernel-setup/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How semantic-kernel-setup Compares
| Feature / Agent | semantic-kernel-setup | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Microsoft Semantic Kernel planner and plugin setup for orchestrated AI
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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
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