temporal

Coordinate Temporal workflows for Agentex agents with deterministic replay and recovery.

186|15|Updated Apr 2, 2026

Search Tags:#state-management #workflows #temporal #determinism #replay #signal-handling #agentex

Ready to run

npx skills add https://github.com/kid-sid/claude-spellbook --skill temporal-kid-sid

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: temporal
Source: https://github.com/kid-sid/claude-spellbook/tree/main/skills/temporal
Command: npx skills add https://github.com/kid-sid/claude-spellbook --skill temporal-kid-sid

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Temporal provides durable, replayable orchestration for Agentex agents, enabling deterministic state and reliable recovery across long-running workflows.

Core Features & Use Cases

Deterministic orchestration: coordinate multiple steps with guaranteed replay to resume after failures.
Signal routing & state management: handle external events and maintain consistent state across turns.
Failure handling & retries: define retry policies and fail gracefully with clear user feedback.

Quick Start

Install and run Temporal-based Agentex workflows using your existing manifest and the agentex CLI to start the worker.

Frequently Asked Questions about temporal

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

FAQPage Schema

How do I ensure deterministic replay for agent workflows when handling failures?▼

Temporal ensures deterministic replay by routing all I/O operations to activities, keeping the workflow logic pure. This allows the orchestration engine to reconstruct state accurately and resume long-running agent workflows after failures.

How do I handle external events and maintain state across agent workflow turns?▼

Signal routing handles external events and maintains consistent state across workflow turns. Signals inject events into running Temporal workflows, updating state safely without violating the determinism required for replay and recovery.

What's the best way to define retry policies and handle failures in long-running agent workflows?▼

Define retry policies within activities to handle failures gracefully in long-running agent workflows. This approach provides robust recovery across task chains and ensures clear user feedback when retries are exhausted.

Do I need to separate activities from workflow logic for Temporal state management?▼

Yes, separating activities from workflow logic is required for Temporal state management. Routing I/O to activities enforces determinism, which is essential for guaranteed replay and robust recovery across complex agent task chains.

Can I use the agentex CLI to start a Temporal worker for durable orchestration?▼

Yes, you can use the agentex CLI with your existing manifest to start the Temporal worker. This enables durable, replayable orchestration for agents, ensuring reliable recovery across long-running task chains.