a5c-ai/babysitter - 4페이지

test-driven-development

Use when implementing any feature or bugfix, before writing implementation code. Enforces RED-GREEN-REFACTOR cycle.

원문 언어: 영어

using-git-worktrees

Use when starting feature work that needs isolation from current workspace or before executing implementation plans.

원문 언어: 영어

using-superpowers

Use when starting any conversation. Establishes how to find and use skills, requiring skill invocation before any response.

원문 언어: 영어

verification-before-completion

Use when about to claim work is complete, fixed, or passing, before committing or creating PRs. Evidence before assertions.

원문 언어: 영어

writing-plans

Use when you have a spec or requirements for a multi-step task, before touching code. Creates bite-sized TDD implementation plans with dependency tracking.

원문 언어: 영어

writing-skills

Use when creating new skills, editing existing skills, or verifying skills work before deployment.

원문 언어: 영어

autogen-setup

Microsoft AutoGen multi-agent configuration for conversational AI systems

원문 언어: 영어

chain-of-thought-prompts

Chain-of-thought and step-by-step reasoning prompts for complex problem solving

원문 언어: 영어

chroma-integration

Chroma local vector database setup and operations for development and production

원문 언어: 영어

constitutional-ai-prompts

Constitutional AI and safety guardrail prompts for aligned LLM behavior

원문 언어: 영어

content-moderation-api

Content moderation API integration using OpenAI Moderation, Perspective API, and others

원문 언어: 영어

crewai-setup

CrewAI multi-agent orchestration setup for collaborative AI systems

원문 언어: 영어

entity-memory-extraction

Entity and fact extraction for user profiling and personalization

원문 언어: 영어

few-shot-example-gen

Few-shot example generation and optimization for improved LLM performance

원문 언어: 영어

guardrails-ai-setup

Guardrails AI validation framework setup for LLM applications. Implement input/output validation, safety checks, and structured output enforcement.

원문 언어: 영어

haystack-pipeline

Haystack NLP pipeline configuration for document processing and QA

원문 언어: 영어

huggingface-classifier

Hugging Face transformer model fine-tuning and inference for intent classification

원문 언어: 영어

langchain-chains

LangChain chain composition including SequentialChain, RouterChain, and LCEL patterns

원문 언어: 영어

langchain-memory

LangChain memory integration including ConversationBufferMemory, ConversationSummaryMemory, and vector-based memory

원문 언어: 영어

langchain-react-agent

LangChain ReAct agent implementation with tool binding for reasoning and action loops

원문 언어: 영어

langchain-retriever

LangChain retriever implementation with various retrieval strategies for RAG applications

원문 언어: 영어

langchain-tools

LangChain tool creation and integration utilities for agent systems

원문 언어: 영어

langfuse-integration

LangFuse LLM observability integration for tracing, analytics, and cost tracking

원문 언어: 영어

langgraph-checkpoint

LangGraph checkpoint and persistence configuration for stateful workflow management

원문 언어: 영어

langgraph-hitl

Human-in-the-loop integration for LangGraph workflows with approval and intervention points

원문 언어: 영어

langgraph-routing

Conditional edge routing and state-based transitions for LangGraph workflows

원문 언어: 영어

langgraph-state-graph

LangGraph StateGraph builder with state schema design. Create stateful agent workflows with cycles, conditionals, and persistence.

원문 언어: 영어

langgraph-subgraph

Subgraph composition and modular workflow design for LangGraph

원문 언어: 영어

langsmith-tracing

LangSmith tracing and debugging setup for LLM applications. Configure observability, capture traces, and enable debugging for LangChain/LangGraph agents.

원문 언어: 영어

llamaindex-agent

LlamaIndex agent and query engine setup for RAG-powered agents

원문 언어: 영어

llm-classifier

LLM-based zero-shot and few-shot classification for flexible intent detection

원문 언어: 영어

mcp-app-scaffolding

Scaffolds MCP App project structure with correct directory layout, dependencies, entry points, and framework-specific templates. Handles React (useApp hook), Vanilla JS, Vue, Svelte, Preact, and Solid.

원문 언어: 영어

mcp-app-verification

Comprehensive verification checklists for MCP Apps. Tests with basic-host reference, validates handler-before-connect, text fallback, resource URI linking, single-file bundling, host styling, CSP, and legacy pattern detection.

원문 언어: 영어

mcp-csp-investigation

Comprehensive Content Security Policy audit for MCP Apps in sandboxed iframes. Discovers all network origins, traces them to source, and generates CSP configuration for registerAppResource.

원문 언어: 영어

mcp-host-styling-integration

Integrates MCP App UI with host theming system. Applies host CSS variables, handles onhostcontextchanged, safe area insets, display mode detection, and fullscreen configuration.

원문 언어: 영어

mcp-tool-resource-pattern

Implements the core MCP Apps architectural pattern where a Tool declares _meta.ui.resourceUri referencing a registered Resource. Covers registerAppTool, registerAppResource, text fallback, structuredContent, and app-only helper tools.

원문 언어: 영어

mem0-integration

Mem0 memory layer integration for AI agents. Implement persistent, semantic memory for long-term context retention and personalization.

원문 언어: 영어

memory-summarization

Conversation summarization for memory compression and context management

원문 언어: 영어

milvus-integration

Milvus distributed vector database configuration for large-scale RAG applications

원문 언어: 영어

nemo-guardrails

NVIDIA NeMo Guardrails configuration for conversational safety and control

원문 언어: 영어