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temporal-developer

This skill should be used when the user asks to "create a Temporal workflow", "write a Temporal activity", "debug stuck workflow", "fix non-determinism error", "Temporal Python", "Temporal TypeScript", "Temporal Go", "Temporal Golang", "workflow replay", "activity timeout", "signal workflow", "query workflow", "worker not starting", "activity keeps retrying", "Temporal heartbeat", "continue-as-new", "child workflow", "saga pattern", "workflow versioning", "durable execution", "reliable distributed systems", or mentions Temporal SDK development.

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name
temporal-developer
description
This skill should be used when the user asks to "create a Temporal workflow", "write a Temporal activity", "debug stuck workflow", "fix non-determinism error", "Temporal Python", "Temporal TypeScript", "Temporal Go", "Temporal Golang", "workflow replay", "activity timeout", "signal workflow", "query workflow", "worker not starting", "activity keeps retrying", "Temporal heartbeat", "continue-as-new", "child workflow", "saga pattern", "workflow versioning", "durable execution", "reliable distributed systems", or mentions Temporal SDK development.
version
0.1.0
# Skill: temporal-developer ## Overview Temporal is a durable execution platform that makes workflows survive failures automatically. This skill provides guidance for building Temporal applications in Python, TypeScript, and Go. ## Core Architecture ``` ┌─────────────────────────────────────────────────────────────────┐ │ Temporal Cluster │ │ ┌─────────────────┐ ┌─────────────────┐ ┌────────────────┐ │ │ │ Event History │ │ Task Queues │ │ Visibility │ │ │ │ (Durable Log) │ │ (Work Router) │ │ (Search) │ │ │ └─────────────────┘ └─────────────────┘ └────────────────┘ │ └─────────────────────────────────────────────────────────────────┘ ▲ │ Poll / Complete ▼ ┌─────────────────────────────────────────────────────────────────┐ │ Worker │ │ ┌─────────────────────────┐ ┌──────────────────────────────┐ │ │ │ Workflow Definitions │ │ Activity Implementations │ │ │ │ (Deterministic) │ │ (Non-deterministic OK) │ │ │ └─────────────────────────┘ └──────────────────────────────┘ │ └─────────────────────────────────────────────────────────────────┘ ``` **Components:** - **Workflows** - Durable, deterministic functions that orchestrate activities - **Activities** - Non-deterministic operations (API calls, I/O) that can fail and retry - **Workers** - Long-running processes that poll task queues and execute code - **Task Queues** - Named queues connecting clients to workers ## History Replay: Why Determinism Matters Temporal achieves durability through **history replay**: 1. **Initial Execution** - Worker runs workflow, generates Commands, stored as Events in history 2. **Recovery** - On restart/failure, Worker re-executes workflow from beginning 3. **Matching** - SDK compares generated Commands against stored Events 4. **Restoration** - Uses stored Activity results instead of re-executing **If Commands don't match Events = Non-determinism Error = Workflow blocked** | Workflow Code | Command | Event | |--------------|---------|-------| | Execute activity | `ScheduleActivityTask` | `ActivityTaskScheduled` | | Sleep/timer | `StartTimer` | `TimerStarted` | | Child workflow | `StartChildWorkflowExecution` | `ChildWorkflowExecutionStarted` | See `references/core/determinism.md` for detailed explanation. ## Getting Started ### Ensure Temporal CLI is installed Check if `temporal` CLI is installed. If not, follow these instructions: #### macOS ``` brew install temporal ``` #### Linux Check your machine's architecture and download the appropriate archive: - [Linux amd64](https://temporal.download/cli/archive/latest?platform=linux&arch=amd64) - [Linux arm64](https://temporal.download/cli/archive/latest?platform=linux&arch=arm64) Once you've downloaded the file, extract the downloaded archive and add the temporal binary to your PATH by copying it to a directory like /usr/local/bin #### Windows Check your machine's architecture and download the appropriate archive: - [Windows amd64](https://temporal.download/cli/archive/latest?platform=windows&arch=amd64) - [Windows arm64](https://temporal.download/cli/archive/latest?platform=windows&arch=arm64) Once you've downloaded the file, extract the downloaded archive and add the temporal.exe binary to your PATH. ### Read All Relevant References 1. First, read the getting started guide for the language you are working in: - Python -> read `references/python/python.md` - TypeScript -> read `references/typescript/typescript.md` - Go -> read `references/go/go.md` 2. Second, read appropriate `core` and language-specific references for the task at hand. ## Primary References - **`references/core/determinism.md`** - Why determinism matters, replay mechanics, basic concepts of activities + Language-specific info at `references/{your_language}/determinism.md` - **`references/core/patterns.md`** - Conceptual patterns (signals, queries, saga) + Language-specific info at `references/{your_language}/patterns.md` - **`references/core/gotchas.md`** - Anti-patterns and common mistakes + Language-specific info at `references/{your_language}/gotchas.md` - **`references/core/versioning.md`** - Versioning strategies and concepts - how to safely change workflow code while workflows are running + Language-specific info at `references/{your_language}/versioning.md` - **`references/core/troubleshooting.md`** - Decision trees, recovery procedures - **`references/core/error-reference.md`** - Common error types, workflow status reference - **`references/core/interactive-workflows.md`** - Testing signals, updates, queries - **`references/core/dev-management.md`** - Dev cycle & management of server and workers - **`references/core/ai-patterns.md`** - AI/LLM pattern concepts + Language-specific info at `references/{your_language}/ai-patterns.md`, if available. Currently Python only. ## Additional Topics - **`references/{your_language}/observability.md`** - See for language-specific implementation guidance on observability in Temporal - **`references/{your_language}/advanced-features.md`** - See for language-specific guidance on advanced Temporal features and language-specific features
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