Prompt
Specify a webhook-driven task for OpenClaw
Describe event inputs, validation, deduplication, and intended actions before integration work.
OpenClawDevelopment & Engineering
Dave AI
Semantic Kernel Setup Skill
Microsoft Semantic Kernel planner and plugin setup for orchestrated AI
instructions.md
--- name: semantic-kernel-setup-a1d2563f1ca0 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--- name: semantic-kernel-setup-a1d2563f1ca0 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
Platform guidance
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.