gcp-cloud
GCP-specific infrastructure and services expertise for cloud operations and architecture
gitops
GitOps tooling expertise for Argo CD and Flux-based continuous delivery
helm-charts
Expert Helm chart development and management skill for Kubernetes package management
incident-platforms
Incident management platform integration for PagerDuty, Opsgenie, and related tools
log-analysis
Structured log analysis and aggregation expertise for observability and troubleshooting
service-mesh
Service mesh configuration and operations expertise for Istio, Linkerd, and Consul Connect
process-builder
Scaffold new babysitter process definitions following SDK patterns, proper structure, and best practices. Guides the 3-phase workflow from research to implementation.
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.)
autogen-setup
Microsoft AutoGen multi-agent configuration for conversational AI systems
chain-of-thought-prompts
Chain-of-thought and step-by-step reasoning prompts for complex problem solving
chroma-integration
Chroma local vector database setup and operations for development and production
constitutional-ai-prompts
Constitutional AI and safety guardrail prompts for aligned LLM behavior
content-moderation-api
Content moderation API integration using OpenAI Moderation, Perspective API, and others
crewai-setup
CrewAI multi-agent orchestration setup for collaborative AI systems
entity-memory-extraction
Entity and fact extraction for user profiling and personalization
few-shot-example-gen
Few-shot example generation and optimization for improved LLM performance
guardrails-ai-setup
Guardrails AI validation framework setup for LLM applications. Implement input/output validation, safety checks, and structured output enforcement.
haystack-pipeline
Haystack NLP pipeline configuration for document processing and QA
huggingface-classifier
Hugging Face transformer model fine-tuning and inference for intent classification
langchain-chains
LangChain chain composition including SequentialChain, RouterChain, and LCEL patterns
langchain-memory
LangChain memory integration including ConversationBufferMemory, ConversationSummaryMemory, and vector-based memory
langchain-react-agent
LangChain ReAct agent implementation with tool binding for reasoning and action loops
langchain-retriever
LangChain retriever implementation with various retrieval strategies for RAG applications
langchain-tools
LangChain tool creation and integration utilities for agent systems
langfuse-integration
LangFuse LLM observability integration for tracing, analytics, and cost tracking
langgraph-checkpoint
LangGraph checkpoint and persistence configuration for stateful workflow management
langgraph-hitl
Human-in-the-loop integration for LangGraph workflows with approval and intervention points
langgraph-routing
Conditional edge routing and state-based transitions for LangGraph workflows
langgraph-state-graph
LangGraph StateGraph builder with state schema design. Create stateful agent workflows with cycles, conditionals, and persistence.
langgraph-subgraph
Subgraph composition and modular workflow design for LangGraph
langsmith-tracing
LangSmith tracing and debugging setup for LLM applications. Configure observability, capture traces, and enable debugging for LangChain/LangGraph agents.
llamaindex-agent
LlamaIndex agent and query engine setup for RAG-powered agents
llm-classifier
LLM-based zero-shot and few-shot classification for flexible intent detection
mem0-integration
Mem0 memory layer integration for AI agents. Implement persistent, semantic memory for long-term context retention and personalization.
memory-summarization
Conversation summarization for memory compression and context management
milvus-integration
Milvus distributed vector database configuration for large-scale RAG applications
nemo-guardrails
NVIDIA NeMo Guardrails configuration for conversational safety and control
opentelemetry-llm
OpenTelemetry instrumentation for LLM applications with distributed tracing
phoenix-arize-setup
Arize Phoenix observability platform setup for LLM debugging and evaluation
pii-redaction
PII detection and redaction utilities for privacy-compliant conversational AI
pinecone-integration
Pinecone vector database setup, configuration, and operations for RAG applications
prompt-compression
Token-efficient prompt compression techniques for cost optimization
prompt-injection-detector
Prompt injection detection and prevention for secure LLM applications
prompt-template-design
Structured prompt template creation with variables, formatting, and version control
qdrant-integration
Qdrant vector database with filtering, payloads, and quantization support
rag-chunking-strategy
Document chunking with multiple strategies including semantic, recursive, and fixed-size chunking
rag-embedding-generation
Batch embedding generation with caching, rate limiting, and multiple provider support
rag-hybrid-search
Hybrid search combining semantic and keyword retrieval for RAG pipelines. Implement BM25 + dense vector search with fusion strategies.
rag-query-transformation
Query expansion, HyDE, and multi-query generation for improved retrieval
rag-reranking
Cross-encoder reranking and MMR diversity filtering for improved retrieval quality
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