Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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rag-chunking-strategy
Document chunking with multiple strategies including semantic, recursive, and fixed-size chunking
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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guardrails-ai-setup
Guardrails AI validation framework setup for LLM applications. Implement input/output validation, safety checks, and structured output enforcement.
a5c-ai/babysitter 514
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redis-memory-backend
Redis backend for conversation state persistence and caching
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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prompt-template-design
Structured prompt template creation with variables, formatting, and version control
a5c-ai/babysitter 514
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llamaindex-agent
LlamaIndex agent and query engine setup for RAG-powered agents
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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weaviate-integration
Weaviate vector database setup with GraphQL queries and hybrid search
a5c-ai/babysitter 514
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content-moderation-api
Content moderation API integration using OpenAI Moderation, Perspective API, and others
a5c-ai/babysitter 514
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langgraph-checkpoint
LangGraph checkpoint and persistence configuration for stateful workflow management
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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memory-summarization
Conversation summarization for memory compression and context management
a5c-ai/babysitter 514
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entity-memory-extraction
Entity and fact extraction for user profiling and personalization
a5c-ai/babysitter 514
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haystack-pipeline
Haystack NLP pipeline configuration for document processing and QA
a5c-ai/babysitter 514
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langgraph-state-graph
LangGraph StateGraph builder with state schema design. Create stateful agent workflows with cycles, conditionals, and persistence.
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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rag-hybrid-search
Hybrid search combining semantic and keyword retrieval for RAG pipelines. Implement BM25 + dense vector search with fusion strategies.
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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nemo-guardrails
NVIDIA NeMo Guardrails configuration for conversational safety and control
a5c-ai/babysitter 514
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phoenix-arize-setup
Arize Phoenix observability platform setup for LLM debugging and evaluation
a5c-ai/babysitter 514
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crewai-setup
CrewAI multi-agent orchestration setup for collaborative AI systems
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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qdrant-integration
Qdrant vector database with filtering, payloads, and quantization support
a5c-ai/babysitter 514