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/semantic-kernel-setup

Microsoft Semantic Kernel planner and plugin setup for orchestrated AI

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babysitter
1.8k200 skills3 agents21 commands1 MCP
Install
$ npx -y skills add a5c-ai/babysitter --skill semantic-kernel-setup --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/semantic-kernel-setup

Context preview

The summary Claude sees to decide when to auto-load this skill.

Microsoft Semantic Kernel planner and plugin setup for orchestrated AI

SKILL.md

semantic-kernel-setup.SKILL.md
name: semantic-kernel-setup
description: Microsoft Semantic Kernel planner and plugin setup for orchestrated AI
allowed-tools:
  - Read
  - Write
  - Edit
  - Bash
  - Glob
  - Grep
graph:
  domains: [domain:software-engineering]
  specializations: [specialization:ai-agents-conversational]
  skillAreas: [skill-area:chain-of-thought-multistep-orchestration, skill-area:tool-service-integration-agents]
  roles: [role:ml-engineer, role:backend-engineer]
  workflows: [workflow:feature-development, workflow:ml-model-lifecycle]
  topics: [topic:design-patterns]

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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