TaskFlow 持久化任务流编排
OpenClaw 平台下的持久化任务流(TaskFlow)运行时技能,用于跨多步、跨 detached 子任务的工作编排,提供流程标识、状态持久化、子任务关联、等待与版本化变更等能力。
它能帮你做什么
先看懂,再决定要不要交给 AI。
TaskFlow 是一个面向 OpenClaw 运行时的"持久化流程底座"。当一项工作需要跨越多个 prompt、多个 detached 子任务(如 ACP、子代理、插件任务)时,TaskFlow 会将其视作同一个作业,维护统一的 owner 会话、统一的返回上下文,以及单一可恢复的状态。技能覆盖典型 managed-flow 生命周期:createManaged → runTask → setWaiting → resume → finish/fail/requestCancel/cancel。状态通过 stateJson 持久化,所有变更采用 revision-checked 模式以避免冲突,适合需要等待外部信号、需要可中断恢复、需要在升级前清理活动子任务的工作。与 Lobster、acpx、插件或普通调用代码配合使用:把分支与业务逻辑保留在调用方,TaskFlow 只承担流程标识、子任务链接、等待状态、版本化变更与用户面呈现等职责。
怎么交给 AI
在线读取优先,本地安装作为备选。
适合能访问网页的 ChatGPT、Agent 或其他 AI。
请访问 https://skills.dhmip.cn/skills/yihui/yihui-taskflow/SKILL.md,读取并按照该 Skill 完成任务;如当前环境支持本地安装,也可以下载该 Skill。未登录时可使用公共安装文档;登录后可以按不同 AI 分开管理。
请根据 https://skills.dhmip.cn/install/skillhub.md,安装 @yihui/yihui-taskflow。兼容性与要求
安装或使用前,先确认环境是否匹配。
适用客户端
使用要求
- OpenClaw 兼容运行平台
- 宿主上下文中存在 api.runtime.tasks.flow 入口(或其别名 api.runtime.taskFlow)
- 调用方具备可信 tool context 中的 sessionKey 或可自行解析 bindSession
- 调用方负责托管状态与决定分支逻辑(如 Lobster / acpx / 普通代码)
⌘技术详情查看完整 SKILL.md 与原始内容⌄
name: taskflow
description: Use when work should span one or more detached tasks but still behave like one job with a single owner context. TaskFlow is the durable flow substrate under authoring layers like Lobster, ACPX, plugins, or plain code. Keep conditional logic in the caller; use TaskFlow for flow identity, child-task linkage, waiting state, revision-checked mutations, and user-facing emergence.
metadata: { "openclaw": { "emoji": "🪝" } }
tags:
- workflow
- orchestration
- task-management
compatibility: openclaw
license: MIT
TaskFlow
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