recipe-agent-team-run-lifecycle

Orchestrate daemonless agent-team run lifecycles from initialization to closure.

2|Updated May 10, 2026
One-click install
npx skills add https://github.com/tae2089/agent-team --skill recipe-agent-team-run-lifecycle
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: recipe-agent-team-run-lifecycle
Source: https://github.com/tae2089/agent-team/tree/main/skills/recipe-agent-team-run-lifecycle
Command: npx skills add https://github.com/tae2089/agent-team --skill recipe-agent-team-run-lifecycle

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides a structured recipe to orchestrate a complete daemonless agent-team workflow—from initialization through run creation, task creation, worker dispatch, monitoring, recovery, and closure—without requiring a background daemon.

Core Features & Use Cases

  • End-to-end run lifecycle orchestration: init, run create, task create, dispatch workers, monitor blockers, recover stalled tasks, and close runs.
  • Deterministic prompts and worker coordination: consistent inputs and clear handoffs between orchestrator and workers.
  • Safe state management and recoverability: explicit step progression with guardrails for failure scenarios.

Quick Start

Initialize the orchestrator, create a run and its tasks, dispatch workers, monitor progress, recover issues, and close the run.

Frequently Asked Questions about recipe-agent-team-run-lifecycle

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

FAQPage Schema
How do I orchestrate an agent-team workflow without a background daemon?

You orchestrate a daemonless agent-team workflow by following a structured lifecycle from initialization to closure, covering run creation, worker dispatch, progress monitoring, and recovery without requiring a background daemon.

What is the end-to-end run lifecycle for a CLI task-management agent team?

The end-to-end run lifecycle includes initialization, run and task creation, worker dispatch, monitoring blockers, recovering stalled tasks, inbox coordination, and final closure to ensure safe, repeatable execution.

How do I recover stalled tasks during agent-team orchestration?

Recover stalled tasks during agent-team orchestration by applying explicit step progression with guardrails for failure scenarios, allowing the orchestrator to monitor blockers and safely resume workflow execution.

Do I need specific binaries or dependent skills to run an agent-team workflow?

Yes, agent-team orchestration enforces runtime prerequisites and metadata, including required binaries and dependent skills, to ensure safe and repeatable execution before the workflow starts.

What's the best way to coordinate workers and manage state in a daemonless orchestrator?

Coordinate workers and manage state by using deterministic prompts for consistent inputs and clear handoffs, alongside explicit step progression to maintain safe state management and recoverability.

When should I not use a daemonless approach for agent-team orchestration?

A daemonless approach may not suit workflows requiring continuous background processing or persistent event listeners, as it relies on explicit step progression and active orchestrator monitoring rather than a persistent daemon.