‹ 首页

taskflow

@zavianx · 收录于 5 天前 · 上游提交 2 个月前

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.

适合你,如果需要在多个任务间保持上下文和状态

/ 通过 npx 安装 校验哈希
npx oh-my-skill add zavianx/vela/taskflow
/ 通过 bash 安装
curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- zavianx/vela/taskflow
/ 已经装过?验证本机副本,不用重装
npx oh-my-skill verify zavianx/vela/taskflow
安装目标可用 --agent / --scope 或 --to 明确指定;省略时只会在唯一已存在的 agent 目录上自动选择,零命中或多命中会停止并提示。content_hash 缺失或不一致均拒装。
122GitHub stars
~1K上下文体积 · 单文件
索引托管

怎么用

商店整理自技能原文 · 版本 bd323cc · 表述以原文为准
它做什么

装上后,Claude 可以创建和管理持久化的多步骤工作流。这些工作流能跨越多次对话独立运行,但共享同一个会话上下文,并支持等待外部事件、保存状态、恢复执行等操作。

什么时候触发

当需要执行一系列步骤,且这些步骤可能跨越多个独立运行(如后台任务、子代理),但仍需像单一任务一样被管理和恢复时触发。

装好后可以这样说
会启动一个多步骤任务,并进入等待状态。
将之前 setWaiting 的任务标记为可继续。
会终止任务并取消关联的子任务。
技能原文 SKILL.md作者撰写 · MIT · bd323cc

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
按 MIT 许可原样转载,未经改动 · 在 GitHub 查看 →

评论

登录即可评论;带「已验证安装」的,是发布者名下有本店的安装或持有记录。