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
Complexity-based task routing with Q-Learning optimization, Agent Booster WASM fast-path, and Mixture-of-Experts model selection.
Skill Claude Code
Multi-agent swarm formation and coordinated execution with topology-aware agent deployment, consensus protocols, and anti-drift enforcement.
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HNSW vector search for pattern similarity retrieval and knowledge graph maintenance with PageRank scoring, community detection, and 3-tier memory management.
Skill Claude Code
Establish project governing principles including dev guidelines, code quality standards, testing policies, UX requirements, performance benchmarks, and security constraints.
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Perform cross-artifact consistency and coverage analysis across constitution, specification, plan, and task artifacts to detect gaps, conflicts, and misalignments before implementation.
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Execute development tasks to build features, producing code, tests, and configuration artifacts that satisfy specification requirements and comply with constitution standards.
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Design technical architecture, select technology stack, and define implementation strategy from specifications and constitution constraints.
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Validate implementation quality through custom checklists, scoring against constitution standards, specification coverage, and producing remediation recommendations.
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Write feature specifications as requirements and user stories with acceptance criteria, focusing on business value and testable conditions.
Skill Claude CodeCodex
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies.
Skill Claude CodeCodex
Use when you have a written implementation plan to execute in a separate session with review checkpoints between batches.
Skill Claude CodeCodex
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work.
Skill Claude CodeCodex
Use when receiving code review feedback, before implementing suggestions. Requires technical rigor and verification, not blind implementation.
Skill Claude CodeCodex
Use when completing tasks, implementing major features, or before merging to verify work meets requirements.
Skill Claude CodeCodex
Use when executing implementation plans with independent tasks in the current session. Dispatches fresh subagent per task.
Skill Claude CodeCodex
Use when starting feature work that needs isolation from current workspace or before executing implementation plans.
Skill Claude CodeCodex
Use when starting any conversation. Establishes how to find and use skills, requiring skill invocation before any response.
Skill Claude CodeCodex
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.
Skill Claude CodeCodex
Use when creating new skills, editing existing skills, or verifying skills work before deployment.
Skill Claude Code
Microsoft AutoGen multi-agent configuration for conversational AI systems.
Skill Claude Code
Autonomously engage with complex coding tasks — multi-step planning, tool use, self-correction, and solution verification without human intervention.
Skill Claude Code
Autonomous research engineering — web search orchestration, source synthesis, hypothesis formation, and structured research report generation.
Skill Claude Code
Chain-of-thought and step-by-step reasoning prompts for complex problem solving.
Skill Claude Code
Chroma local vector database setup and operations for development and production.
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: