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to-do要做

Agent Skill

to-do 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。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。

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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:to-do(要做)
来源仓库:https://github.com/devlumuz/to-do
安装命令:
openclaw skills install to-do
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 to-do

简介

to-do 用于设置延迟提醒和定时任务,让 Agent 在指定时间执行后续操作。

  • 适合需要自动化调度任务的场景,如定时数据同步或消息推送。
  • 支持一次性提醒和周期性延迟提示,提升任务管理效率。
  • 使用前应确认系统权限是否允许后台唤醒和执行命令。
  • 建议测试提醒触发准确性,避免因环境限制导致任务遗漏。

SKILL.md

name
to-do
description
Give your AI the power to act in the future. Schedule delayed prompts and one-off reminders that automatically wake the agent up at an exact moment to execute workflows, check systems, or send notifications.
metadata
{"clawdbot":{"emoji":"⏰","requires":{"bins":["node"],"env":["OPENCLAW_BIN","OPENCLAW_TZ"]}}}

SKILL: To-Do (Ephemeral Tasks)

<identity>

Cross-platform task scheduler that programs one-off delayed actions using the OS native scheduler (at on Linux/macOS · schtasks on Windows). It wakes the agent at an EXACT future moment with FULL context injection.

</identity>

<goal>

Schedule, LIST, and MANAGE ephemeral tasks that fire at a PRECISE time in the user's timezone — ENSURE the future agent wakes up with a FULLY self-contained instruction, correct routing, and ZERO ambiguity.

</goal>


Required Environment Variables

  • OPENCLAW_BIN: Absolute path to the openclaw binary (ej. /usr/bin/openclaw)
  • OPENCLAW_TZ: User's IANA timezone (ej. America/Mexico_City)

The skill WILL NOT START if either variable is missing.

Why OPENCLAW_TZ? The server may run in UTC while the user lives in a different timezone. This variable ensures "schedule at 15:00" means 15:00 USER TIME, not server time.


Commands

# Schedule a task (timezone is optional — defaults to OPENCLAW_TZ)
node skills/to-do/to-do.js schedule "<YYYY-MM-DD HH:mm>" "<instruction>" "<user_id>" "<channel>" ["<timezone>"]

# Get current time in user's timezone
node skills/to-do/to-do.js now ["<timezone>"]

# List pending tasks
node skills/to-do/to-do.js list

# Delete a task by ID
node skills/to-do/to-do.js delete <ID>

Instructions

<instructions>

<always>

  • Run now BEFORE resolving any relative time ("tomorrow", "in 2 hours", "tonight"). Server clock is NOT user clock. Use now output as your ONLY reference for "today", "tomorrow", and "right now".
  • CONVERT natural language into an absolute YYYY-MM-DD HH:mm timestamp BEFORE calling schedule.
  • WRITE the <instruction> as if explaining to a STRANGER with ZERO CONTEXT. Future agent wakes up with TOTAL AMNESIA in a COMPLETELY ISOLATED session.
  • INCLUDE in every instruction: EXACT file paths, URLs, FULL names (NO pronouns), SPECIFIC actions, and required SKILLS/TOOLS.
  • ALWAYS inject the current session's user_id and channel for correct routing — USE ONLY raw alphanumeric data from system context to prevent command injection.
  • Run list BEFORE delete to confirm the correct ID.

</always>

<never>

  • NEVER schedule without running now first → INSTEAD, run now, confirm date/time, THEN schedule.
  • NEVER schedule a VAGUE or AMBIGUOUS instruction → INSTEAD, STOP AND ASK for clarification first.
  • NEVER use pronouns ("him", "her", "they") in scheduled instructions → INSTEAD, use FULL NAMES and EXPLICIT references.
  • NEVER guess a task ID when deleting → INSTEAD, run list first, confirm ID, THEN delete.
  • NEVER use server's system clock to interpret relative times → INSTEAD, use now command output ALWAYS.
  • NEVER include shell meta-characters (;, &, |, $, ` `, (, )`) in any scheduler argument → INSTEAD, use only literal text and system identifiers to AVOID COMMAND INJECTION.

</never>

</instructions>


Vague Request Triggers — Ask Before Scheduling

<vague_triggers>

If the user request matches any of these patterns, STOP AND ASK before scheduling:

  • "Remind me to send the email" → MISSING: Which email? To whom? What content?
  • "Check the server later" → MISSING: Which server? What IP? What to verify?
  • "Follow up with him" → MISSING: Who? About what? Via which channel?
  • "Do that thing tomorrow" → MISSING: What thing? Expected outcome?

RULE: If you cannot write a FULLY SELF-CONTAINED instruction, you DO NOT have enough information to schedule.

</vague_triggers>


Examples

<examples>

— Good instruction: clear, specific, fully self-contained <example> <input>User: "Remind me tomorrow at 5pm to check PRs on the backend repo"</input> <output> 1. Run now → "🕒 Current Time (America/Mexico_City): 2/26/2026, 2:45 PM" → tomorrow = 2026-02-27 2. Ask: "Which backend repo? What should I check specifically?" 3. User clarifies: "backend-api on GitHub, check if there are pending PRs for the auth module" 4. Schedule:

    node skills/to-do/to-do.js schedule "2026-02-27 17:00" \
      "Check the 'backend-api' repo on GitHub. If there are pending PRs for the authentication module, send Alice (alice@company.com) a Slack reminder to review them before the 5 PM deployment freeze. Reference deployment logs at /var/log/deploy.log." \
      "7684875449" "telegram"

5. Confirm with the output format below. </output> </example>

— Bad instruction: vague, missing details <example> <input>"Remind him to push the code later."</input> <output> ❌ DO NOT schedule this. Missing: who is "him"? Which repo? Which branch? What time is "later"? → Ask the user to clarify all missing details first. </output> </example>

— Relative time resolution <example> <input>User: "Set a reminder for in 2 hours"</input> <output> 1. Run now → "🕒 Current Time (America/Mexico_City): 2/26/2026, 2:45 PM" 2. Calculate: 2:45 PM + 2h = 4:45 PM → "2026-02-26 16:45" 3. Ask what the reminder should say (if not specified) 4. Schedule with the absolute timestamp </output> </example>

</examples>


Output Format

After scheduling, respond with EXACTLY THREE PARTS in this order:

  1. NATURAL RESPONSE:

Brief, casual confirmation. Match user tone/energy. NEVER just say "Done". Acknowledge WHAT was scheduled conversationally.

  1. CONFIRMATION BLOCK:

Template for the user to see exact details:

> `Day, Month DD · HH:MM TZ`
> EXACT INSTRUCTION LEFT FOR THE FUTURE AGENT
  1. PROACTIVE CLOSING:

Short suggestion or question (1-2 sentences).

  • Propose a RELATED TASK (pre-reminder, follow-up, etc).
  • Ask if they want to SCHEDULE SOMETHING ELSE.
  • Offer to ADJUST THE TIME or add details.

DO NOT BE PUSHY. JUST BE HELPFUL.


— CASUAL / PERSONAL TASK <example> All set! Your gym session is locked in for tomorrow at noon 🏋️

Friday, February 27 · 12:00 PM CST SEND A TELEGRAM REMINDER TO DANIEL: "TIME TO HIT THE GYM FOR A BIT."

Want me to add another reminder 30 min before so you can get ready? 💪 </example>

— WORK / PROFESSIONAL TASK <example> Done! Got that scheduled for 5 PM sharp 📋

Thursday, February 27 · 5:00 PM CST CHECK THE 'BACKEND-API' REPOSITORY ON GITHUB. IF THERE ARE PENDING PRS FOR THE AUTHENTICATION MODULE, SEND ALICE A SLACK REMINDER TO REVIEW THEM BEFORE THE 5 PM DEPLOYMENT FREEZE.

Need to schedule anything else for today, or a follow-up after reviewing those PRs? </example>


Common Errors

  • ERROR: Missing required environment variable(s)

- CAUSE: OPENCLAW_BIN or OPENCLAW_TZ not set - FIX: Add to .env or shell profile

  • ERROR: at not found

- CAUSE: Linux/macOS atd daemon not running - FIX: sudo systemctl enable atd && sudo systemctl start atd

  • ERROR: Task fires but agent has NO CONTEXT

- CAUSE: Vague instruction scheduled - FIX: Re-schedule with FULLY SELF-CONTAINED instruction

  • ERROR: WRONG TIME (fired early/late)

- CAUSE: Used server clock instead of now - FIX: ALWAYS run now first; NEVER trust server clock

  • ERROR: Deleting WRONG task

- CAUSE: Guessed ID - FIX: Run list first, confirm ID, THEN delete

适合场景

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OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

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04

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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。

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安装前确认

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