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yihui-taskflow易辉任务流

Agent Skill

yihui-taskflow 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

2,258

周安装

96

GitHub Stars

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下载量

791
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:yihui-taskflow(易辉任务流)
来源仓库:https://github.com/1yihui/yihui-taskflow
安装命令:
openclaw skills install yihui-taskflow
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install yihui-taskflow

简介

yihui-taskflow 用于处理跨越多项独立任务但仍需单一上下文的工作场景。

  • 适用于 TaskFlow 耐用流程基底管理,支持任务分解和状态跟踪。
  • 提供跨任务协调功能,确保工作流连贯性和可维护性。
  • 安装命令:openclaw skills install yihui-taskflow,建议确认权限范围和维护状态。
  • 使用前请核实是否会触发任务调度或状态存储操作。

SKILL.md

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, and waitJson
  • 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.flow
  • api.runtime.taskFlow still exists as an alias, but api.runtime.tasks.flow is the canonical shape

Binding:

  • api.runtime.tasks.flow.fromToolContext(ctx) when you already have trusted tool context with sessionKey
  • api.runtime.tasks.flow.bindSession({ sessionKey, requesterOrigin }) when your binding layer already resolved the session and delivery context

Managed-flow lifecycle:

  1. createManaged(...)
  2. runTask(...)
  3. setWaiting(...) when waiting on a person or an external system
  4. resume(...) when work can continue
  5. finish(...) or fail(...)
  6. requestCancel(...) or cancel(...) 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 stateJson as the persisted state bag. There is no separate setFlowOutput or appendFlowOutput API.
  • Every mutating method after creation is revision-checked. Carry forward the latest flow.revision after 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 wait
  • personal → notify the owner now
  • later → append to an end-of-day summary bucket

Operational pattern

  • Store only the minimum state needed to resume.
  • Put human-readable wait reasons in blockedSummary or structured wait metadata in waitJson.
  • 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.md for a concrete routing pattern

适合场景

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能力 2

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能力 3

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能力 4

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能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

70.8%
按下载量换算560

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安装前确认

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