a5c-ai/babysitter

Babysitter enforces obedience on agentic workforces and enables them to manage extremely complex tasks and workflows through deterministic, hallucination-free self-orchestration

About the project

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 →

1.8kStars on the repository
186Mods indexed here, across every type
7d agoLast push, which is what freshness is scored on
MITLicence, which decides whether bodies are shown

a5c-ai/babysitter

Skill Claude Code

Perform closed-book frontier reasoning — complex problem solving from internalized knowledge without external retrieval or tool use.

not rated 1.8k +16 7d ago A SkillSpector: pass 28 tokens original MIT

a5c-ai/babysitter

Skill Claude Code

Constitutional AI and safety guardrail prompts for aligned LLM behavior.

not rated 1.8k +16 7d ago A SkillSpector: pass 19 tokens original MIT

a5c-ai/babysitter

Skill Claude Code

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

not rated 1.8k +16 7d ago A SkillSpector: pass 21 tokens original MIT

crewai-setup

148

a5c-ai/babysitter

Skill Claude Code

CrewAI multi-agent orchestration setup for collaborative AI systems.

not rated 1.8k +16 7d ago A SkillSpector: pass 16 tokens original MIT

a5c-ai/babysitter

Skill Claude Code

Entity and fact extraction for user profiling and personalization.

not rated 1.8k +16 7d ago A SkillSpector: pass 14 tokens original MIT

few-shot-example-gen

150

a5c-ai/babysitter

Skill Claude Code

Few-shot example generation and optimization for improved LLM performance.

not rated 1.8k +16 7d ago A SkillSpector: pass 16 tokens original MIT

a5c-ai/babysitter

Skill Claude Code

Apply general knowledge reasoning across diverse domains — trivia, commonsense inference, analogy, and factual question answering.

not rated 1.8k +16 7d ago A SkillSpector: pass 28 tokens original MIT

guardrails-ai-setup

152

a5c-ai/babysitter

Skill Claude Code

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

not rated 1.8k +16 7d ago A SkillSpector: pass 30 tokens original MIT

haystack-pipeline

153

a5c-ai/babysitter

Skill Claude Code

Haystack NLP pipeline configuration for document processing and QA.

not rated 1.8k +16 7d ago A SkillSpector: pass 15 tokens original MIT

a5c-ai/babysitter

Skill Claude Code

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

not rated 1.8k +16 7d ago A SkillSpector: pass 20 tokens original MIT

langchain-chains

155

a5c-ai/babysitter

Skill Claude Code

LangChain chain composition including SequentialChain, RouterChain, and LCEL patterns.

not rated 1.8k +16 7d ago A SkillSpector: pass 20 tokens original MIT

langchain-memory

156

a5c-ai/babysitter

Skill Claude Code

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

not rated 1.8k +16 7d ago A SkillSpector: pass 21 tokens original MIT

langchain-react-agent

157

a5c-ai/babysitter

Skill Claude Code

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

not rated 1.8k +16 7d ago A SkillSpector: pass 19 tokens original MIT

langchain-retriever

158

a5c-ai/babysitter

Skill Claude Code

LangChain retriever implementation with various retrieval strategies for RAG applications.

not rated 1.8k +16 7d ago A SkillSpector: pass 19 tokens original MIT

langchain-tools

159

a5c-ai/babysitter

Skill Claude Code

LangChain tool creation and integration utilities for agent systems.

not rated 1.8k +16 7d ago A SkillSpector: pass 14 tokens original MIT

langfuse-integration

160

a5c-ai/babysitter

Skill Claude Code

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

not rated 1.8k +16 7d ago A SkillSpector: pass 21 tokens original MIT

langgraph-checkpoint

161

a5c-ai/babysitter

Skill Claude Code

LangGraph checkpoint and persistence configuration for stateful workflow management.

not rated 1.8k +16 7d ago A SkillSpector: pass 16 tokens original MIT

langgraph-hitl

162

a5c-ai/babysitter

Skill Claude Code

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

not rated 1.8k +16 7d ago A SkillSpector: pass 19 tokens original MIT

langgraph-routing

163

a5c-ai/babysitter

Skill Claude Code

Conditional edge routing and state-based transitions for LangGraph workflows.

not rated 1.8k +16 7d ago A SkillSpector: pass 15 tokens original MIT

langgraph-state-graph

164

a5c-ai/babysitter

Skill Claude Code

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

not rated 1.8k +16 7d ago A SkillSpector: pass 30 tokens original MIT

langgraph-subgraph

165

a5c-ai/babysitter

Skill Claude Code

Subgraph composition and modular workflow design for LangGraph.

not rated 1.8k +16 7d ago A SkillSpector: pass 15 tokens original MIT

langsmith-tracing

166

a5c-ai/babysitter

Skill Claude Code

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

not rated 1.8k +16 7d ago A SkillSpector: pass 34 tokens original MIT

llamaindex-agent

167

a5c-ai/babysitter

Skill Claude Code

LlamaIndex agent and query engine setup for RAG-powered agents.

not rated 1.8k +16 7d ago A SkillSpector: pass 18 tokens original MIT

llm-classifier

168

a5c-ai/babysitter

Skill Claude Code

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

not rated 1.8k +16 7d ago A SkillSpector: pass 18 tokens original MIT

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