Skill Claude Code
Perform closed-book frontier reasoning — complex problem solving from internalized knowledge without external retrieval or tool use.
Babysitter enforces obedience on agentic workforces and enables them to manage extremely complex tasks and workflows through deterministic, hallucination-free self-orchestration
Babysitter is a workflow engine for AI coding agents that enforces predefined steps, quality checks, human approvals, and decision records. It is used to coordinate complex, repeatable agent workflows across supported coding tools. The catalogue contains skills, agents, instructions, settings, a plugin, and an MCP integration for its workflow.
This repository also configures its own agents. See what babysitter tells them →
Skill Claude Code
Perform closed-book frontier reasoning — complex problem solving from internalized knowledge without external retrieval or tool use.
Skill Claude Code
Constitutional AI and safety guardrail prompts for aligned LLM behavior.
Skill Claude Code
Content moderation API integration using OpenAI Moderation, Perspective API, and others.
Skill Claude Code
CrewAI multi-agent orchestration setup for collaborative AI systems.
Skill Claude Code
Entity and fact extraction for user profiling and personalization.
Skill Claude Code
Few-shot example generation and optimization for improved LLM performance.
Skill Claude Code
Apply general knowledge reasoning across diverse domains — trivia, commonsense inference, analogy, and factual question answering.
Skill Claude Code
Guardrails AI validation framework setup for LLM applications. Implement input/output validation, safety checks, and structured output enforcement.
Skill Claude Code
Haystack NLP pipeline configuration for document processing and QA.
Skill Claude Code
Hugging Face transformer model fine-tuning and inference for intent classification.
Skill Claude Code
LangChain chain composition including SequentialChain, RouterChain, and LCEL patterns.
Skill Claude Code
LangChain memory integration including ConversationBufferMemory, ConversationSummaryMemory, and vector-based memory.
Skill Claude Code
LangChain ReAct agent implementation with tool binding for reasoning and action loops.
Skill Claude Code
LangChain retriever implementation with various retrieval strategies for RAG applications.
Skill Claude Code
LangChain tool creation and integration utilities for agent systems.
Skill Claude Code
LangFuse LLM observability integration for tracing, analytics, and cost tracking.
Skill Claude Code
LangGraph checkpoint and persistence configuration for stateful workflow management.
Skill Claude Code
Human-in-the-loop integration for LangGraph workflows with approval and intervention points.
Skill Claude Code
Conditional edge routing and state-based transitions for LangGraph workflows.
Skill Claude Code
LangGraph StateGraph builder with state schema design. Create stateful agent workflows with cycles, conditionals, and persistence.
Skill Claude Code
Subgraph composition and modular workflow design for LangGraph.
Skill Claude Code
LangSmith tracing and debugging setup for LLM applications. Configure observability, capture traces, and enable debugging for LangChain/LangGraph agents.
Skill Claude Code
LlamaIndex agent and query engine setup for RAG-powered agents.
Skill Claude Code
LLM-based zero-shot and few-shot classification for flexible intent detection.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: