Topic: agent-orchestration
2,114 skills in this topic.
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chroma-integration
Chroma local vector database setup and operations for development and production
a5c-ai/babysitter 514
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rasa-nlu-integration
Rasa NLU pipeline configuration and training for intent and entity extraction
a5c-ai/babysitter 514
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prompt-injection-detector
Prompt injection detection and prevention for secure LLM applications
a5c-ai/babysitter 514
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milvus-integration
Milvus distributed vector database configuration for large-scale RAG applications
a5c-ai/babysitter 514
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langgraph-routing
Conditional edge routing and state-based transitions for LangGraph workflows
a5c-ai/babysitter 514
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few-shot-example-gen
Few-shot example generation and optimization for improved LLM performance
a5c-ai/babysitter 514
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chain-of-thought-prompts
Chain-of-thought and step-by-step reasoning prompts for complex problem solving
a5c-ai/babysitter 514
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babysit
Orchestrate via @babysitter. Use this skill when asked to babysit a run, orchestrate a process or whenever it is called explicitly. (babysit, babysitter, orchestrate, orchestrate a run, workflow, etc.)
a5c-ai/babysitter 514
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rag-reranking
Cross-encoder reranking and MMR diversity filtering for improved retrieval quality
a5c-ai/babysitter 514
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prompt-compression
Token-efficient prompt compression techniques for cost optimization
a5c-ai/babysitter 514
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memory-summarization
Conversation summarization for memory compression and context management
a5c-ai/babysitter 514
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retrospect
Summarize or retrospect on one or more completed Babysitter runs.
a5c-ai/babysitter 514
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help
Explain Babysitter Cursor IDE/CLI usage, modes, setup, or operational behavior.
a5c-ai/babysitter 514
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call
Start a new Babysitter orchestration run from GitHub Copilot CLI.
a5c-ai/babysitter 514
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c4-diagram-generator
Specialized skill for generating C4 model architecture diagrams. Supports Structurizr DSL, PlantUML, and Mermaid formats with multi-level abstraction (Context, Container, Component, Code).
a5c-ai/babysitter 514
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mem0-integration
Mem0 memory layer integration for AI agents. Implement persistent, semantic memory for long-term context retention and personalization.
a5c-ai/babysitter 514
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Dimensional Model Validator
Validates dimensional models against Kimball methodology best practices
a5c-ai/babysitter 514
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resume
Resume an existing Babysitter run from Codex.
a5c-ai/babysitter 514
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resume
Resume an existing Babysitter run from Cursor IDE/CLI.
a5c-ai/babysitter 514
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zep-memory-integration
Zep memory server integration for long-term conversation memory and user profiling
a5c-ai/babysitter 514
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rag-query-transformation
Query expansion, HyDE, and multi-query generation for improved retrieval
a5c-ai/babysitter 514
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pinecone-integration
Pinecone vector database setup, configuration, and operations for RAG applications
a5c-ai/babysitter 514
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llm-classifier
LLM-based zero-shot and few-shot classification for flexible intent detection
a5c-ai/babysitter 514
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autogen-setup
Microsoft AutoGen multi-agent configuration for conversational AI systems
a5c-ai/babysitter 514