
TaskFlow
FreeManage multi-step tasks with persistent state and context.
Free · Opens the source repo
What TaskFlow does
TaskFlow is a skill designed for orchestrating multi-step tasks that need to persist beyond a single prompt or execution. This is particularly useful when you require a consistent owner session, a shared return context, and a centralized location for inspecting or resuming work. By leveraging TaskFlow, developers can create durable job flows that maintain their identity and state across multiple operations, making it ideal for complex workflows that involve waiting on external inputs or subagent tasks.
The skill is structured to manage the lifecycle of tasks effectively. It allows you to create managed flows, run tasks, set waiting states, and resume or finish jobs as needed. Each flow maintains a currentStep, stateJson, and waitJson, which encapsulate the task's current status and any relevant metadata. This design ensures that you can track progress and handle interruptions gracefully, making it suitable for environments where tasks may need to be paused and resumed based on external conditions.
TaskFlow is particularly beneficial for scenarios requiring background processing with a single owner, such as triaging inboxes or managing pull request intakes. It can handle tasks that emit updates back to the owner and manage small amounts of persisted state between steps. However, it’s important to note that TaskFlow does not handle branching or complex business logic; these should be implemented in the calling code or other frameworks like Lobster or acpx.
Overall, TaskFlow streamlines the management of complex workflows, allowing developers to focus on the orchestration of tasks without the overhead of managing state and context manually. It is an essential tool for anyone looking to implement robust task management in their applications.
When to use it
Use TaskFlow when you need to coordinate tasks that require persistence, such as background jobs or workflows that wait for external events.
When not to use it
Avoid TaskFlow for simple, one-off tasks or when complex branching logic is required, as it does not handle these scenarios directly.
What you can build with it
Inbox Triage Automation
Use TaskFlow to automate the triage of incoming messages, classifying them based on predefined criteria and updating the owner as needed.
Pull Request Management
Manage the intake of pull requests by coordinating tasks that require approval and feedback from multiple stakeholders.
Background Data Processing
Orchestrate background tasks that gather and process data from various sources, handling state persistence and updates effectively.
How to install TaskFlow
View source1. Install with the skills CLI
npx skills add openclaw/openclaw/taskflow --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by openclawTaskFlow
Use TaskFlow when a job needs to outlive one prompt or one detached run, but you still want one owner session, one return context, and one place to inspect or resume the work.
When to use it
- Multi-step background work with one owner
- Work that waits on detached ACP or subagent tasks
- Jobs that may need to emit one clear update back to the owner
- Jobs that need small persisted state between steps
- Plugin or tool work that must survive restarts and revision conflicts cleanly
What TaskFlow owns
- flow identity
- owner session and requester origin
currentStep,stateJson, andwaitJson- linked child tasks and their parent flow id
- finish, fail, cancel, waiting, and blocked state
- revision tracking for conflict-safe mutations
It does not own branching or business logic. Put that in Lobster, acpx, or the calling code.
Current runtime shape
Canonical plugin/runtime entrypoint:
api.runtime.tasks.flowapi.runtime.taskFlowstill exists as an alias, butapi.runtime.tasks.flowis the canonical shape
Binding:
api.runtime.tasks.flow.fromToolContext(ctx)when you already have trusted tool context withsessionKeyapi.runtime.tasks.flow.bindSession({ sessionKey, requesterOrigin })when your binding layer already resolved the session and delivery context
Managed-flow lifecycle:
createManaged(...)runTask(...)setWaiting(...)when waiting on a person or an external systemresume(...)when work can continuefinish(...)orfail(...)requestCancel(...)orcancel(...)when the whole job should stop
Design constraints
- Use managed TaskFlows when your code owns the orchestration.
- One-task mirrored flows are created by core runtime for detached ACP/subagent work; this skill is mainly about managed flows.
- Treat
stateJsonas the persisted state bag. There is no separatesetFlowOutputorappendFlowOutputAPI. - Every mutating method after creation is revision-checked. Carry forward the latest
flow.revisionafter each successful mutation. runTask(...)links the child task to the flow. Use it instead of manually creating detached tasks when you want parent orchestration.
Example shape
const taskFlow = api.runtime.tasks.flow.fromToolContext(ctx);
const created = taskFlow.createManaged({
controllerId: "my-plugin/inbox-triage",
goal: "triage inbox",
currentStep: "classify",
stateJson: {
businessThreads: [],
personalItems: [],
eodSummary: [],
},
});
const classify = taskFlow.runTask({
flowId: created.flowId,
runtime: "acp",
childSessionKey: "agent:main:subagent:classifier",
runId: "inbox-classify-1",
task: "Classify inbox messages",
status: "running",
startedAt: Date.now(),
lastEventAt: Date.now(),
});
if (!classify.created) {
throw new Error(classify.reason);
}
const waiting = taskFlow.setWaiting({
flowId: created.flowId,
expectedRevision: created.revision,
currentStep: "await_business_reply",
stateJson: {
businessThreads: ["slack:thread-1"],
personalItems: [],
eodSummary: [],
},
waitJson: {
kind: "reply",
channel: "slack",
threadKey: "slack:thread-1",
},
});
if (!waiting.applied) {
throw new Error(waiting.code);
}
const resumed = taskFlow.resume({
flowId: waiting.flow.flowId,
expectedRevision: waiting.flow.revision,
status: "running",
currentStep: "finalize",
stateJson: waiting.flow.stateJson,
});
if (!resumed.applied) {
throw new Error(resumed.code);
}
taskFlow.finish({
flowId: resumed.flow.flowId,
expectedRevision: resumed.flow.revision,
stateJson: resumed.flow.stateJson,
});
Keep conditionals above the runtime
Use the flow runtime for state and task linkage. Keep decisions in the authoring layer:
business-> post to Slack and waitpersonal-> notify the owner nowlater-> append to an end-of-day summary bucket
Operational pattern
- Store only the minimum state needed to resume.
- Put human-readable wait reasons in
blockedSummaryor structured wait metadata inwaitJson. - Use
getTaskSummary(flowId)when the orchestrator needs a compact health view of child work. - Use
requestCancel(...)when a caller wants the flow to stop scheduling immediately. - Use
cancel(...)when you also want active linked child tasks cancelled.
Examples
- See
skills/taskflow/examples/inbox-triage.lobster - See
skills/taskflow/examples/pr-intake.lobster - See
skills/taskflow-inbox-triage/SKILL.mdfor a concrete routing pattern
Frequently asked questions about TaskFlow
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