Babysitter semantic-kernel-setup

Microsoft Semantic Kernel planner and plugin setup for orchestrated AI

install
source · Clone the upstream repo
git clone https://github.com/a5c-ai/babysitter
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/ai-agents-conversational/skills/semantic-kernel-setup" ~/.claude/skills/a5c-ai-babysitter-semantic-kernel-setup && rm -rf "$T"
manifest: library/specializations/ai-agents-conversational/skills/semantic-kernel-setup/SKILL.md
source 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