ReddRadar
Topic: ai-agents
18,135 skills in this topic.
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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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process-builder
Scaffold new babysitter process definitions following SDK patterns, proper structure, and best practices. Guides the 3-phase workflow from research to implementation.
a5c-ai/babysitter 514
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autogen-setup
Microsoft AutoGen multi-agent configuration for conversational AI systems
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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chroma-integration
Chroma local vector database setup and operations for development and production
a5c-ai/babysitter 514
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constitutional-ai-prompts
Constitutional AI and safety guardrail prompts for aligned LLM behavior
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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crewai-setup
CrewAI multi-agent orchestration setup for collaborative AI systems
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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few-shot-example-gen
Few-shot example generation and optimization for improved LLM performance
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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haystack-pipeline
Haystack NLP pipeline configuration for document processing and QA
a5c-ai/babysitter 514
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huggingface-classifier
Hugging Face transformer model fine-tuning and inference for intent classification
a5c-ai/babysitter 514
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langchain-chains
LangChain chain composition including SequentialChain, RouterChain, and LCEL patterns
a5c-ai/babysitter 514
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langchain-memory
LangChain memory integration including ConversationBufferMemory, ConversationSummaryMemory, and vector-based memory
a5c-ai/babysitter 514
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langchain-react-agent
LangChain ReAct agent implementation with tool binding for reasoning and action loops
a5c-ai/babysitter 514