Token导航 LogoToken导航

Agent Skill · 效率

scheduler-notification-runbook(调度程序通知操作手册)

scheduler-notification-runbook 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。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。

scheduler-notification-runbook 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描已通过,按安装量在效率类的 21,003 个 Skill 里排第 11,954。

总安装 4,343周安装 174GitHub Stars 公开资料未说明下载 1,406核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

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:scheduler-notification-runbook(调度程序通知操作手册)
来源仓库:https://github.com/atomiccn/scheduler-notification-runbook
安装命令:
openclaw skills install scheduler-notification-runbook
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 scheduler-notification-runbook

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

基于 OpenClaw cron 的预定提醒与通知工作流程操作指南。适用于创建一次性工作项或查看现有提醒技能配置。提供标准化操作流程与最佳实践参考。scheduler-notification-runbook 属于效率类 Skill,可作为该场景下的辅助能力补充。需具备 cron 调度权限,操作前应备份现有任务配置。

建议在非高峰时段测试任务执行,避免影响系统性能。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install scheduler-notification-runbook;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

scheduler-notification-runbook 怎么安装?

在终端执行 openclaw skills install scheduler-notification-runbook。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

scheduler-notification-runbook 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

scheduler-notification-runbook 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

scheduler-notification-runbook 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

scheduler-notification-runbook 用的人多吗?

公开数据是累计安装 4,343 次,近一周安装 174 次,下载 1,406 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

scheduler-notification-runbook 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理效率类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
scheduler-notification-runbook

调度程序通知操作手册 · 本页

4,343—需要联网MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
scheduler-notification-runbook
description
Reliable runbook for scheduled reminders and notification workflows with OpenClaw cron. Use when creating or reviewing reminder skills, scheduling one-shot or recurring reminders, choosing between systemEvent and agentTurn payloads, selecting the correct sessionTarget, writing reminder text that will still read clearly when delivered later, validating whether a job actually fired, or troubleshooting why a scheduled notification did not deliver as expected. Especially useful for ClawHub-published skills that need production-safe reminder behavior instead of ad hoc cron setup.

Scheduler Notification Runbook

Overview

Use this skill to create reliable reminder and scheduled notification workflows with OpenClaw cron. Focus on production-safe decisions: choose the correct payload type, choose the correct session target, write reminder text that still makes sense when delivered later, and verify that the job actually fired and delivered.

Core workflow

1. Classify the scheduling need

Decide which of these cases applies before creating any job:

  • One-shot reminder: "Remind me in 20 minutes" or "Remind me tomorrow at 9 AM"
  • Recurring reminder: "Remind me every weekday at 6 PM"
  • Background agent task: a scheduled isolated agent run that produces a summary or follow-up
  • Current-session follow-up: a scheduled agent run that must keep using the current session thread

If the request is only a reminder and does not need reasoning at fire time, prefer a systemEvent reminder. If the request needs the agent to think, check state, summarize, or perform a task when the time arrives, prefer an agentTurn job.

2. Choose the payload type

Use this decision rule:

Use payload.kind = "systemEvent" when:
  • The future action is a plain reminder
  • The message can be fully written now
  • No tool use or reasoning is needed when it fires
  • The user mainly wants a notification, not a follow-up workflow

This is the default reminder pattern for simple reminders.

Use payload.kind = "agentTurn" when:
  • The scheduled task must inspect context or perform work later
  • The task needs tool use, web access, summarization, or decision-making at fire time
  • The task should produce a delivery summary after it completes
  • The task must be bound to the current session or a named persistent session

Do not use agentTurn just to send a basic reminder that could be expressed in plain text.

3. Choose the session target

Match sessionTarget to the payload and the desired behavior.

Use sessionTarget = "main"

Only with payload.kind = "systemEvent". Use this for normal reminder injection into the main session.

Recommended when:

  • The user asked for a straightforward reminder
  • The reminder should appear like a natural follow-up in the main conversation
Use sessionTarget = "isolated"

Only with payload.kind = "agentTurn". Use this for scheduled work that should run independently and optionally announce a summary.

Recommended when:

  • The task should not rely on the current thread
  • The task may be long-running or more operational
  • You want isolated execution with clear delivery behavior
Use sessionTarget = "current"

Only with payload.kind = "agentTurn". Use this when the future agent run must stay attached to the current session context.

Recommended when:

  • The user explicitly wants the follow-up in the same thread
  • The current session context matters later
Use sessionTarget = "session:<name>"

Only with payload.kind = "agentTurn". Use this for durable named workflows that should accumulate their own thread history.

Recommended when:

  • You are building a recurring operational workflow
  • The job should write into a stable named session rather than a transient isolated run

Writing reminder text

Reminder text quality matters because the user will read it later, not now. Write the text as if it has already arrived in the future.

Rules for good reminder text

  • Explicitly say it is a reminder when the time gap is meaningful
  • Include the original task or intent
  • Include enough context so the user does not have to remember why it was scheduled
  • Keep it short and readable
  • Avoid raw implementation details such as cron expressions, session targets, job IDs, or internal payload terms

Good patterns

Short-delay reminder

Use for reminders in minutes or within the same day:

  • Reminder: check the build in 20 minutes.
  • Reminder: join the design review now.
  • Reminder: send the follow-up message to Alex this afternoon.
Next-day or dated reminder

Use for tomorrow or specific dates/times:

  • Reminder: review the OrAHub CLI Quick Start draft this morning.
  • Reminder: your 3 PM call with the partner team is coming up.
  • Reminder: submit the legal review notes for the scheduler skill today.
Context-rich reminder

Use when the reminder could be ambiguous later:

  • Reminder: follow up on the scheduler-notification-runbook skill for ClawHub publication.
  • Reminder: check whether the recurring reminder demo was actually delivered to the main session.
  • Reminder: revisit the OrAHub credential onboarding flow and decide whether npm or curl should be the default install path.

Avoid

  • ping
  • do the thing
  • scheduled task triggered
  • cron fired successfully
  • Any text that only makes sense to an implementer

Schedule selection

Pick the simplest schedule that matches the request.

Use schedule.kind = "at" when:

  • The reminder should happen once at a specific time
  • The request is phrased as "in 20 minutes" or "tomorrow at 9"

Use schedule.kind = "every" when:

  • The reminder repeats on a fixed interval
  • Exact calendar semantics are not required

Use schedule.kind = "cron" when:

  • The reminder repeats on calendar-based rules
  • The user asks for things like every weekday, every Monday, or the first day of each month

Prefer the least complex schedule that accurately matches the request.

Delivery decisions for agent jobs

Delivery matters only for agentTurn jobs.

Use delivery.mode = "announce" when:

  • The result should be posted back into chat after the isolated run finishes
  • The user expects a visible summary

Use delivery.mode = "none" when:

  • The task is internal and does not need to notify chat directly
  • Another system consumes the result

Use delivery.mode = "webhook" when:

  • The scheduled run must call an external HTTP endpoint
  • The user explicitly wants webhook delivery

Do not try to simulate webhook behavior through ad hoc messaging if webhook delivery is the correct abstraction.

Validation workflow

Always validate after creating or updating a scheduled reminder workflow.

Minimum validation checklist

  1. Confirm the schedule shape matches the request
  2. Confirm the payload type matches the real need
  3. Confirm the session target is valid for that payload
  4. Confirm the reminder text reads naturally in the future
  5. Confirm the job is enabled
  6. Capture the returned jobId

Recommended follow-up checks

  • Run the job manually when safe and useful
  • Inspect run history for recurring jobs
  • Confirm that delivery occurred in the expected place
  • If the reminder is time-sensitive, verify timezone assumptions explicitly

Troubleshooting

Use this sequence when a scheduled reminder or notification did not behave as expected.

Problem: the job was created but nothing happened

Check:

  • Whether the job is enabled
  • Whether the schedule is in the future or already missed
  • Whether the timezone assumption was wrong
  • Whether the scheduler is healthy
  • Whether the wrong session target was used

Problem: the job fired but the message was confusing

Check:

  • Whether the reminder text included enough future context
  • Whether the text referred to internal details instead of user intent
  • Whether the reminder should have been written as a richer natural reminder

Problem: an agentTurn job ran but did not deliver visibly

Check:

  • Whether delivery.mode was omitted or set incorrectly
  • Whether the task was isolated with announce delivery as intended
  • Whether the target channel or recipient was specified when needed

Problem: the wrong session received the follow-up

Check:

  • Whether main, isolated, current, or session:<name> was selected correctly
  • Whether the user wanted a reminder injection or a future agent run
  • Whether a named session would be more stable than current

Problem: the reminder should have been simple but was over-engineered

Check:

  • Whether agentTurn was used when systemEvent was enough
  • Whether unnecessary delivery settings were added
  • Whether a one-shot at reminder would have solved the request more directly

Production guidance for ClawHub publication

When packaging this as a reusable public skill, keep the skill focused on durable decision-making rather than local environment specifics.

Include

  • Clear payload selection rules
  • Session target selection guidance
  • Reminder text quality rules
  • Validation and troubleshooting steps
  • Examples framed around real reminder requests

Exclude

  • Local machine assumptions
  • Environment-specific secrets or tokens
  • Internal-only customer identifiers
  • Hard-coded job IDs or one-off operational artifacts

Reference material

Read references/cron-patterns.md when you need compact pattern guidance for one-shot reminders, recurring reminders, and agent-run notification workflows.

Read references/examples.md when you need ClawHub-friendly examples that show the difference between simple reminders, recurring reminders, isolated agent jobs, and same-thread follow-ups.

平台分布

OpenClaw

76.34%
按下载量换算1,073

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills