ReddRadar
Topic: vibe-coding
3,535 skills in this topic.
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langchain-tools
LangChain tool creation and integration utilities for agent systems
a5c-ai/babysitter 514
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langfuse-integration
LangFuse LLM observability integration for tracing, analytics, and cost tracking
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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langgraph-hitl
Human-in-the-loop integration for LangGraph workflows with approval and intervention points
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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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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langgraph-subgraph
Subgraph composition and modular workflow design for LangGraph
a5c-ai/babysitter 514
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langsmith-tracing
LangSmith tracing and debugging setup for LLM applications. Configure observability, capture traces, and enable debugging for LangChain/LangGraph agents.
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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llm-classifier
LLM-based zero-shot and few-shot classification for flexible intent detection
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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memory-summarization
Conversation summarization for memory compression and context management
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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nemo-guardrails
NVIDIA NeMo Guardrails configuration for conversational safety and control
a5c-ai/babysitter 514
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opentelemetry-llm
OpenTelemetry instrumentation for LLM applications with distributed tracing
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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pii-redaction
PII detection and redaction utilities for privacy-compliant conversational AI
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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prompt-compression
Token-efficient prompt compression techniques for cost optimization
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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prompt-template-design
Structured prompt template creation with variables, formatting, and version control
a5c-ai/babysitter 514
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qdrant-integration
Qdrant vector database with filtering, payloads, and quantization support
a5c-ai/babysitter 514
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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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rag-embedding-generation
Batch embedding generation with caching, rate limiting, and multiple provider support
a5c-ai/babysitter 514