subagent-handoff-governance

Validate subagent context and enforce non-circular handoff rules.

Updated Apr 10, 2026

Search Tags:#workflow #orchestration #governance #handoff #ai-agent

Ready to run

npx skills add https://github.com/majedsiefalnasr/bunyan-app-cursor --skill subagent-handoff-governance

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: subagent-handoff-governance
Source: https://github.com/majedsiefalnasr/bunyan-app-cursor/tree/main/.agents/skills/subagent-handoff-governance
Command: npx skills add https://github.com/majedsiefalnasr/bunyan-app-cursor --skill subagent-handoff-governance

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Establishes a governance layer for subagent handoffs in multi-agent systems, ensuring safe, transparent transitions and preventing misrouting or cycles.

Core Features & Use Cases

Enforced handoff rules: Exact name matching, context transfer, single responsibility, no circular handoffs, and failure handling.
Role-driven subagents: Plans, implementations, research, debugging, and more are clearly defined for scalable orchestration.
Use Case: When coordinating multiple specialized agents (Planner, Researcher, Debugger, etc.), the orchestrator can hand off tasks deterministically while preserving necessary context.

Quick Start

Implement the governance checks to validate context and prevent circular subagent handoffs.

Frequently Asked Questions about subagent-handoff-governance

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I prevent circular handoffs when orchestrating multiple AI agents?▼

Subagent handoff governance prevents circular handoffs by enforcing non-circular transition rules and validating context transfer. This ensures safe, transparent orchestration and stops misrouting cycles between specialized AI agents.

What is subagent handoff governance in multi-agent systems?▼

Subagent handoff governance is a coordination layer for multi-agent systems that validates context and enforces transition rules. It ensures each AI agent handles a single concern with explicit governance of names, context transfer, and failure recovery.

How do I safely transfer context between specialized AI agents during a task handoff?▼

To safely transfer context between specialized AI agents, apply governance checks that validate the context being handed off. This preserves necessary context deterministically while enforcing single responsibility for each role-driven subagent.

Does multi-agent orchestration require explicit failure handling for subagent transitions?▼

Yes, multi-agent orchestration requires explicit failure handling to gracefully recover from subagent transition failures. Governance rules ensure that when a specialized agent fails, the system recovers gracefully without breaking the overall workflow.

What's the best way to coordinate role-driven subagents like a Planner and Debugger?▼

The best way to coordinate role-driven subagents like a Planner and Debugger is using an orchestrator that hands off tasks deterministically. This requires exact name matching and enforced single responsibility to ensure scalable, safe orchestration.

Why do my multi-agent workflows fail when routing tasks between subagents?▼

Multi-agent workflows fail during task routing when there is no governance layer to enforce exact name matching and validate context. Implementing handoff rules prevents misrouting and ensures transparent transitions between specialized agents.