Can I resume a task after an interruption?

Yes, the skill uses checkpoint-based saves that allow long-running workflows to be restored and resumed from the last saved state if an interruption occurs.

What is multi-agent handoff in this context?

Multi-agent handoff is a workflow pattern where one AI agent saves its current state so another specialized agent can resume the task, ensuring continuity in complex development phases.

Is sensitive data safe when saving context?

The skill includes security protocols to sanitize context by removing secrets, API keys, and passwords, using relative file paths to maintain environment security.

How does this skill improve execution speed?

By enabling parallel execution patterns (e.g., frontend and backend development simultaneously), this skill can achieve a 2-3x speedup compared to sequential workflows.

Multi-Agent Context Management

Name: Multi-Agent Context Management
Author: greyhaven-ai

bygreyhaven-ai

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Productivity & Workflow

Orchestrates sophisticated multi-agent workflows using state persistence, sequential handoffs, and resumable execution patterns.

About

This skill empowers Claude to manage complex, multi-step operations by saving and restoring execution state across different agents and sessions. By implementing standardized handoff patterns and parallel execution strategies, it significantly speeds up development cycles and ensures consistency in long-running tasks like full-stack feature implementation or incident response. It provides the necessary structure for linear phases, conditional routing, and checkpoint-based recovery, making it indispensable for advanced AI-driven automation where maintaining state is critical.

Key Features

Resumable long-running workflows via checkpointing
Sequential and parallel execution patterns for 2-3x speedup
Multi-agent workflow orchestration with state persistence
Dynamic conditional routing based on agent execution results
Standardized JSON schemas for context validation and security
15 GitHub stars

Use Cases

Implementing complex TDD cycles with automated handoffs and validation
Managing multi-phase incident response workflows with state recovery
Coordinating full-stack feature development across frontend, backend, and testing agents

About

Key Features

Resumable long-running workflows via checkpointing
Sequential and parallel execution patterns for 2-3x speedup
Multi-agent workflow orchestration with state persistence
Dynamic conditional routing based on agent execution results
Standardized JSON schemas for context validation and security
15 GitHub stars

Use Cases

Implementing complex TDD cycles with automated handoffs and validation
Managing multi-phase incident response workflows with state recovery
Coordinating full-stack feature development across frontend, backend, and testing agents