ReddRadar
Topic: claude-code-skills
8,614 skills in this topic.
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prompt-compression
Token-efficient prompt compression techniques for cost optimization
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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pii-redaction
PII detection and redaction utilities for privacy-compliant conversational AI
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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opentelemetry-llm
OpenTelemetry instrumentation for LLM applications with distributed tracing
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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milvus-integration
Milvus distributed vector database configuration for large-scale RAG applications
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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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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llm-classifier
LLM-based zero-shot and few-shot classification for flexible intent detection
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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langchain-chains
LangChain chain composition including SequentialChain, RouterChain, and LCEL patterns
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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haystack-pipeline
Haystack NLP pipeline configuration for document processing and QA
a5c-ai/babysitter 514
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cloudformation-analyzer
Validate and analyze AWS CloudFormation templates for security and best practices
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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few-shot-example-gen
Few-shot example generation and optimization for improved LLM performance
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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api-mock-server
Generate and run mock API servers from OpenAPI specifications
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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generating-aws-diagrams
Generates DrawIO XML diagrams for Amazon Web Services architectures from text descriptions or images. Analyzes existing .drawio files to extract AWS components. Use for AWS architecture diagrams, cloud infrastructure documentation, or when converting AWS diagram images to editable DrawIO format.
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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content-moderation-api
Content moderation API integration using OpenAI Moderation, Perspective API, and others
a5c-ai/babysitter 514