Temporal Developer
OpenAIOfficialCreated by TemporalDistributed by OpenAI
- Skill
- Tool integration
- Software development
- MIT
- Low risk
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
Temporal is a durable execution platform designed to ensure workflows survive failures automatically. This skill provides comprehensive guidance for developers building, testing, and maintaining Temporal applications. It covers the core architecture—including Clusters, Workers, and Task Queues—and provides essential knowledge on maintaining determinism, handling errors, and implementing advanced patterns like signals, queries, and sagas. The skill supports development across Python, TypeScript, Go, Java, .NET, Ruby, and Rust, offering specific references for each language.
What it does
- Provides guidance on building deterministic Workflow Definitions and Activity Implementations.
- Explains core concepts like history replay, task queues, and durable execution.
- Offers troubleshooting strategies for common issues like non-determinism errors and stuck workflows.
- Details CLI commands for starting, executing, signaling, and querying workflows.
- Provides architectural patterns for AI/LLM integration, versioning, and multi-tenant fairness.
- Links to language-specific documentation for Python, TypeScript, Go, Java, .NET, Ruby, and Rust.
When to use it
- When building or debugging workflows, activities, or workers using a Temporal SDK.
- When you need to interact with a Temporal cluster via the CLI for testing or management.
- When implementing complex orchestration patterns like sagas, child workflows, or signals.
- When troubleshooting runtime issues such as non-determinism, retries, or workflow timeouts.
- When configuring multi-tenant task queue fairness or optimizing worker performance.
Advantages
- Ensures workflow durability by providing patterns that survive system crashes.
- Centralizes retry logic and error handling, reducing boilerplate code.
- Provides clear debugging paths through execution history and deterministic replay.
- Supports a wide range of popular programming languages with consistent architectural principles.
- Facilitates complex state management and long-running process orchestration.
Usage examples
- “How do I start a new workflow from the command line?”
- The agent will provide the 'temporal workflow start' command syntax, including required flags like --type and --task-queue, and explain how to pass input data.
- “I am getting a non-determinism error in my workflow. How do I fix it?”
- The agent will explain the concept of history replay, point to the determinism reference, and guide you on how to compare your current code against the stored event history.
- “How should I handle LLM API calls within a Temporal workflow?”
- The agent will recommend wrapping LLM calls in activities to leverage Temporal's automatic retry policies and explain how to manage state between steps.
Install
Download the skill as a ZIP:
https://autogineer.com/agent-skills/openai/temporal-developer/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip temporal-developer.zip -d .agents/skills
Documentation by Temporal
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, Go, Java, .NET, Ruby, and Rust.
Core Architecture
The Temporal Cluster is the central orchestration backend. It maintains three key subsystems: the Event History (a durable log of all workflow state), Task Queues (which route work to the right workers), and a Visibility store (for searching and listing workflows). There are three ways to run a Cluster:
Temporal CLI dev server — a local, single-process server started with
temporal server start-dev. Suitable for development and testing only, not production.Self-hosted — you deploy and manage the Temporal server and its dependencies (e.g., database) in your own infrastructure for production use.
Temporal Cloud — a fully managed production service operated by Temporal. No cluster infrastructure to manage.
Workers are long-running processes that you run and manage. They poll Task Queues for work and execute your code. You might run a single Worker process on one machine during development, or run many Worker processes across a large fleet of machines in production. Each Worker hosts two types of code:
Workflow Definitions — durable, deterministic functions that orchestrate work. These must not have side effects.
Activity Implementations — non-deterministic operations (API calls, file I/O, etc.) that can fail and be retried.
Workers communicate with the Cluster via a poll/complete loop: they poll a Task Queue for tasks, execute the corresponding Workflow or Activity code, and report results back.
History Replay: Why Determinism Matters
Temporal achieves durability through history replay:
Initial Execution - Worker runs workflow, generates Commands, stored as Events in history
Recovery - On restart/failure, Worker re-executes workflow from beginning
Matching - SDK compares generated Commands against stored Events
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 the instructions at references/core/install_cli.md to install it for your platform.
Read All Relevant References
First, read the getting started guide for the language you are working in:
Python -> read
references/python/python.mdTypeScript -> read
references/typescript/typescript.mdGo -> read
references/go/go.mdJava -> read
references/java/java.md.NET (C#) -> read
references/dotnet/dotnet.mdRuby -> read
references/ruby/ruby.mdRust -> read
references/rust/rust.md(in Public Preview)
Second, read appropriate
coreand language-specific references for the task at hand.
Primary References
references/core/determinism.md- Why determinism matters, replay mechanics, basic concepts of activitiesLanguage-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 mistakesLanguage-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 runningLanguage-specific info at
references/{your_language}/versioning.md
references/core/standalone-activities.md- Standalone Activities: run an Activity directly from a Client without a Workflow (Public Preview)Language-specific info at
references/{your_language}/standalone-activities.md
references/core/troubleshooting.md- Decision trees, recovery proceduresreferences/core/error-reference.md- Common error types, workflow status referencereferences/core/interactive-workflows.md- Testing signals, updates, queriesreferences/core/dev-management.md- Dev cycle & management of server and workersreferences/core/cli-workflow-commands.md- Developer-facing CLI commands for workflow interaction (start, execute, signal, query, update)references/core/ai-patterns.md- AI/LLM pattern conceptsLanguage-specific info at
references/{your_language}/ai-patterns.md, if available. Currently Python only.
Task Queue Priority and Fairness
If the developer is building a multi-tenant application, proactively recommend Task Queue Fairness. Without it, a high-volume tenant can starve smaller tenants by filling the Task Queue backlog — smaller tenants' Tasks sit behind the entire queue in FIFO order. Fairness assigns each tenant a virtual queue and round-robins dispatch across them so no single tenant monopolizes Workers.
Priority and Fairness also apply to tiered workloads (batch vs. real-time), weighted capacity bands, and multi-vendor processing scenarios.
references/core/priority-fairness.md- Priority keys, fairness keys and weights, rate limiting, SDK examples, and limitations
Additional Topics
references/{your_language}/observability.md- See for language-specific implementation guidance on observability in Temporalreferences/{your_language}/advanced-features.md- See for language-specific guidance on advanced Temporal features and language-specific features
Third-Party Integrations
For Temporal plugins and integrations with third-party frameworks and SDKs (Spring Boot, Spring AI, OpenAI Agents SDK, Google ADK, etc.), see references/integrations.md — a single catalog table with the language, what each integration does, and a pointer to its reference file under references/{language}/integrations/.
Feedback
Reporting Issues in This Skill
If you (the AI) find this skill's explanations are unclear, misleading, or missing important information—or if Temporal concepts are proving unexpectedly difficult to work with—draft a GitHub issue body describing the problem encountered and what would have helped, then ask the user to file it at https://github.com/temporalio/skill-temporal-developer/issues/new. Do not file the issue autonomously.
Files
- ATTRIBUTION.mdAdded by AutoGineer900 B
- LICENSELicence file added by AutoGineer1.1 KiB
- SKILL.md7.4 KiB
- references/core/ai-patterns.md5.5 KiB
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references/go/patterns.md
Go SDK Patterns
Signals
In Go, signals are received via channels, not handler functions.
func OrderWorkflow(ctx workflow.Context) (string, error) {
approved := false
var items []string
approveCh := workflow.GetSignalChannel(ctx, "approve")
addItemCh := workflow.GetSignalChannel(ctx, "add-item")
// Listen for signals in a goroutine so workflow can proceed
workflow.Go(ctx, func(ctx workflow.Context) {
for {
selector := workflow.NewSelector(ctx)
selector.AddReceive(approveCh, func(c workflow.ReceiveChannel, more bool) {
c.Receive(ctx, &approved)
})
selector.AddReceive(addItemCh, func(c workflow.ReceiveChannel, more bool) {
var item string
c.Receive(ctx, &item)
items = append(items, item)
})
selector.Select(ctx)
}
})
// Wait for approval
workflow.Await(ctx, func() bool { return approved })
return fmt.Sprintf("Processed %d items", len(items)), nil
}Blocking receive from a single channel
When waiting on a single signal, no Selector is needed:
var approveInput ApproveInput
workflow.GetSignalChannel(ctx, "approve").Receive(ctx, &approveInput)Queries
Important: Queries must NOT modify workflow state. Query handlers run outside workflow context -- do not call workflow.Go(), workflow.NewChannel(), or any blocking workflow functions.
func StatusWorkflow(ctx workflow.Context) error {
currentState := "started"
progress := 0
err := workflow.SetQueryHandler(ctx, "get-status", func() (string, error) {
return currentState, nil
})
if err != nil {
return err
}
err = workflow.SetQueryHandler(ctx, "get-progress", func() (int, error) {
return progress, nil
})
if err != nil {
return err
}
// Workflow logic updates currentState and progress as it runs
currentState = "running"
for i := 0; i < 100; i++ {
progress = i
err := workflow.ExecuteActivity(
workflow.WithActivityOptions(ctx, workflow.ActivityOptions{
StartToCloseTimeout: time.Minute,
}),
ProcessItem, i,
).Get(ctx, nil)
if err != nil {
currentState = "failed"
return err
}
}
currentState = "done"
return nil
}Updates
func OrderWorkflow(ctx workflow.Context) (int, error) {
var items []string
err := workflow.SetUpdateHandlerWithOptions(
ctx,
"add-item",
func(ctx workflow.Context, item string) (int, error) {
// Handler can mutate workflow state and return a value
items = append(items, item)
return len(items), nil
},
workflow.UpdateHandlerOptions{
Validator: func(ctx workflow.Context, item string) error {
if item == "" {
return fmt.Errorf("item cannot be empty")
}
if len(items) >= 100 {
return fmt.Errorf("order is full")
}
return nil
},
},
)
if err != nil {
return 0, err
}
// Block until cancelled
_ = ctx.Done().Receive(ctx, nil)
return len(items), nil
}Important: Validators must NOT mutate workflow state or do anything blocking (no activities, sleeps, or other commands). They are read-only, similar to query handlers. Return an error to reject the update; return nil to accept.
Child Workflows
func ParentWorkflow(ctx workflow.Context, orders []Order) ([]string, error) {
cwo := workflow.ChildWorkflowOptions{
WorkflowExecutionTimeout: 30 * time.Minute,
}
ctx = workflow.WithChildOptions(ctx, cwo)
var results []string
for _, order := range orders {
var result string
err := workflow.ExecuteChildWorkflow(ctx, ProcessOrderWorkflow, order).Get(ctx, &result)
if err != nil {
return nil, err
}
results = append(results, result)
}
return results, nil
}Child Workflow Options
import enumspb "go.temporal.io/api/enums/v1"
cwo := workflow.ChildWorkflowOptions{
WorkflowID: fmt.Sprintf("child-%s", workflow.GetInfo(ctx).WorkflowExecution.ID),
// ParentClosePolicy - what happens to child when parent closes
// PARENT_CLOSE_POLICY_TERMINATE (default), PARENT_CLOSE_POLICY_ABANDON, PARENT_CLOSE_POLICY_REQUEST_CANCEL
ParentClosePolicy: enumspb.PARENT_CLOSE_POLICY_ABANDON,
WorkflowExecutionTimeout: 10 * time.Minute,
WorkflowTaskTimeout: time.Minute,
}
ctx = workflow.WithChildOptions(ctx, cwo)
future := workflow.ExecuteChildWorkflow(ctx, ChildWorkflow, input)
// Wait for child to start (important for ABANDON policy)
if err := future.GetChildWorkflowExecution().Get(ctx, nil); err != nil {
return err
}Handles to External Workflows
func CoordinatorWorkflow(ctx workflow.Context, targetWorkflowID string) error {
// Signal an external workflow
err := workflow.SignalExternalWorkflow(ctx, targetWorkflowID, "", "data-ready", payload).Get(ctx, nil)
if err != nil {
return err
}
// Cancel an external workflow
err = workflow.RequestCancelExternalWorkflow(ctx, targetWorkflowID, "").Get(ctx, nil)
return err
}Parallel Execution
Use workflow.Go to launch parallel work and workflow.Selector to collect results.
func ParallelWorkflow(ctx workflow.Context, items []string) ([]string, error) {
actCtx := workflow.WithActivityOptions(ctx, workflow.ActivityOptions{
StartToCloseTimeout: 5 * time.Minute,
})
// Launch activities in parallel
futures := make([]workflow.Future, len(items))
for i, item := range items {
futures[i] = workflow.ExecuteActivity(actCtx, ProcessItem, item)
}
// Collect all results
results := make([]string, len(items))
for i, future := range futures {
if err := future.Get(ctx, &results[i]); err != nil {
return nil, err
}
}
return results, nil
}Using workflow.Go for background goroutines
ch := workflow.NewChannel(ctx)
workflow.Go(ctx, func(ctx workflow.Context) {
// Background work
var result string
_ = workflow.ExecuteActivity(actCtx, SomeActivity).Get(ctx, &result)
ch.Send(ctx, result)
})
var result string
ch.Receive(ctx, &result)Selector Pattern
workflow.Selector replaces Go's native select -- required for deterministic workflow execution. Use it to wait on multiple channels, futures, and timers simultaneously.
func ApprovalWorkflow(ctx workflow.Context) (string, error) {
actCtx := workflow.WithActivityOptions(ctx, workflow.ActivityOptions{
StartToCloseTimeout: 5 * time.Minute,
})
var outcome string
signalCh := workflow.GetSignalChannel(ctx, "approve")
actFuture := workflow.ExecuteActivity(actCtx, AutoReviewActivity)
// Cancel timer if signal or activity wins
timerCtx, cancelTimer := workflow.WithCancel(ctx)
timer := workflow.NewTimer(timerCtx, 24*time.Hour)
selector := workflow.NewSelector(ctx)
// Branch 1: Signal received
selector.AddReceive(signalCh, func(c workflow.ReceiveChannel, more bool) {
var approved bool
c.Receive(ctx, &approved)
cancelTimer()
if approved {
outcome = "approved-by-signal"
} else {
outcome = "rejected-by-signal"
}
})
// Branch 2: Activity completed
selector.AddFuture(actFuture, func(f workflow.Future) {
var result string
_ = f.Get(ctx, &result)
cancelTimer()
outcome = result
})
// Branch 3: Timeout
selector.AddFuture(timer, func(f workflow.Future) {
if err := f.Get(ctx, nil); err == nil {
outcome = "timed-out"
}
// If timer was cancelled, err is CanceledError -- ignore
})
selector.Select(ctx) // Blocks until one branch fires
return outcome, nil
}Key points:
AddReceive(channel, callback)-- fires when a channel has a message (must consume withc.Receive)AddFuture(future, callback)-- fires when a future resolves (once per Selector)AddDefault(callback)-- fires immediately if nothing else is readySelect(ctx)-- blocks until one branch fires; call multiple times to process multiple events
Continue-as-New
func LongRunningWorkflow(ctx workflow.Context, state WorkflowState) (string, error) {
for {
state = processBatch(ctx, state)
if state.IsComplete {
return "done", nil
}
// Check if history is getting large
if workflow.GetInfo(ctx).GetContinueAsNewSuggested() {
return "", workflow.NewContinueAsNewError(ctx, LongRunningWorkflow, state)
}
}
}Drain signals before continue-as-new to avoid signal loss:
for {
var signalVal string
ok := signalChan.ReceiveAsync(&signalVal)
if !ok {
break
}
// process signal
}
return "", workflow.NewContinueAsNewError(ctx, LongRunningWorkflow, state)Cancellation Handling
Use ctx.Done() to detect cancellation and workflow.NewDisconnectedContext for cleanup that must run even after cancellation.
func MyWorkflow(ctx workflow.Context) error {
actCtx := workflow.WithActivityOptions(ctx, workflow.ActivityOptions{
StartToCloseTimeout: time.Hour,
})
err := workflow.ExecuteActivity(actCtx, LongRunningActivity).Get(ctx, nil)
if err != nil && temporal.IsCanceledError(ctx.Err()) {
// Workflow was cancelled -- run cleanup with a disconnected context
workflow.GetLogger(ctx).Info("Workflow cancelled, running cleanup")
disconnectedCtx, _ := workflow.NewDisconnectedContext(ctx)
disconnectedCtx = workflow.WithActivityOptions(disconnectedCtx, workflow.ActivityOptions{
StartToCloseTimeout: 5 * time.Minute,
})
_ = workflow.ExecuteActivity(disconnectedCtx, CleanupActivity).Get(disconnectedCtx, nil)
return err // Return CanceledError
}
return err
}Saga Pattern (Compensations)
Important: Compensation activities should be idempotent -- they may be retried (as with ALL activities).
Use workflow.NewDisconnectedContext when running compensations so they execute even if the workflow is cancelled.
func OrderWorkflow(ctx workflow.Context, order Order) (string, error) {
actCtx := workflow.WithActivityOptions(ctx, workflow.ActivityOptions{
StartToCloseTimeout: 5 * time.Minute,
})
var compensations []func(ctx workflow.Context) error
// Helper to run all compensations in reverse, using a disconnected context
// so compensations run even if the workflow is cancelled.
runCompensations := func() {
disconnectedCtx, _ := workflow.NewDisconnectedContext(ctx)
compCtx := workflow.WithActivityOptions(disconnectedCtx, workflow.ActivityOptions{
StartToCloseTimeout: 5 * time.Minute,
})
for i := len(compensations) - 1; i >= 0; i-- {
if err := compensations[i](compCtx); err != nil {
workflow.GetLogger(ctx).Error("Compensation failed", "error", err)
}
}
}
// Register compensation BEFORE running the activity.
// If the activity completes the effect but fails on return,
// we still need the compensation.
compensations = append(compensations, func(ctx workflow.Context) error {
return workflow.ExecuteActivity(ctx, ReleaseInventoryIfReserved, order).Get(ctx, nil)
})
if err := workflow.ExecuteActivity(actCtx, ReserveInventory, order).Get(ctx, nil); err != nil {
runCompensations()
return "", err
}
compensations = append(compensations, func(ctx workflow.Context) error {
return workflow.ExecuteActivity(ctx, RefundPaymentIfCharged, order).Get(ctx, nil)
})
if err := workflow.ExecuteActivity(actCtx, ChargePayment, order).Get(ctx, nil); err != nil {
runCompensations()
return "", err
}
if err := workflow.ExecuteActivity(actCtx, ShipOrder, order).Get(ctx, nil); err != nil {
runCompensations()
return "", err
}
return "Order completed", nil
}Wait Condition with Timeout
func ApprovalWorkflow(ctx workflow.Context) (string, error) {
approved := false
// Set up signal handler
workflow.Go(ctx, func(ctx workflow.Context) {
workflow.GetSignalChannel(ctx, "approve").Receive(ctx, &approved)
})
// Wait with 24-hour timeout -- returns (conditionMet, error)
conditionMet, err := workflow.AwaitWithTimeout(ctx, 24*time.Hour, func() bool {
return approved
})
if err != nil {
return "", err
}
if conditionMet {
return "approved", nil
}
return "auto-rejected due to timeout", nil
}Without timeout:
err := workflow.Await(ctx, func() bool { return ready })Waiting for All Handlers to Finish
Signal and update handlers may run activities asynchronously. Use workflow.Await with workflow.AllHandlersFinished before completing or continuing-as-new to prevent the workflow from closing while handlers are still running.
func MyWorkflow(ctx workflow.Context) (string, error) {
// ... register handlers, main workflow logic ...
// Before exiting, wait for all handlers to finish
err := workflow.Await(ctx, func() bool {
return workflow.AllHandlersFinished(ctx)
})
if err != nil {
return "", err
}
return "done", nil
}Activity Heartbeat Details
WHY:
Support activity cancellation -- Cancellations are delivered via heartbeat; activities that don't heartbeat won't know they've been cancelled
Resume progress after worker failure -- Heartbeat details persist across retries
WHEN:
Cancellable activities -- Any activity that should respond to cancellation
Long-running activities -- Track progress for resumability
Checkpointing -- Save progress periodically
func ProcessLargeFile(ctx context.Context, filePath string) (string, error) {
// Recover from previous attempt
startIdx := 0
if activity.HasHeartbeatDetails(ctx) {
if err := activity.GetHeartbeatDetails(ctx, &startIdx); err == nil {
startIdx++ // Resume from next item
}
}
lines := readFileLines(filePath)
for i := startIdx; i < len(lines); i++ {
processLine(lines[i])
// Heartbeat with progress -- if cancelled, ctx will be cancelled
activity.RecordHeartbeat(ctx, i)
if ctx.Err() != nil {
// Activity was cancelled
cleanup()
return "", ctx.Err()
}
}
return "completed", nil
}Timers
func TimerWorkflow(ctx workflow.Context) (string, error) {
// Simple sleep
err := workflow.Sleep(ctx, time.Hour)
if err != nil {
return "", err
}
// Timer as a Future -- for use with Selector
timerCtx, cancelTimer := workflow.WithCancel(ctx)
timer := workflow.NewTimer(timerCtx, 30*time.Minute)
// Cancel the timer when no longer needed
cancelTimer()
return "Timer fired", nil
}Local Activities
Purpose: Reduce latency for short, lightweight operations by skipping the task queue. ONLY use these when necessary for performance. Do NOT use these by default, as they are not durable and distributed.
func MyWorkflow(ctx workflow.Context) (string, error) {
lao := workflow.LocalActivityOptions{
StartToCloseTimeout: 5 * time.Second,
}
ctx = workflow.WithLocalActivityOptions(ctx, lao)
var result string
err := workflow.ExecuteLocalActivity(ctx, QuickLookup, "key").Get(ctx, &result)
if err != nil {
return "", err
}
return result, nil
}Requirements and compatibility
Written for: OpenAI Codex
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Needs: Needs Python
Security
What our scanner noticed· Low risk
- Instructions that use the network
A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.
Attribution and licence
- Created by
- Temporal
- Publisher
- OpenAI (Official)
- Distributed by
- OpenAI
- Source
- openai/plugins · plugins/temporal/skills/temporal-developer · commit d420d13
- Licence
- MIT License (redistribution allowed)
- LICENSE (added by AutoGineer from plugins/temporal/LICENSE)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
AutoGineer is not affiliated with or endorsed by Temporal or OpenAI.
Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download temporal-developer.zip