让 AI 帮用户设置、管理定时提醒，支持私聊和群聊。
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AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionqqbot-cronExecute the skills CLI command in your project's root directory to begin installation:
Fetches qqbot-cron from sliverp/qqbot and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate qqbot-cron. Access via /qqbot-cron in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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让 AI 帮用户设置、管理定时提醒，支持私聊和群聊。
调用 cron 工具时，payload.kind 必须是
"agentTurn"。绝对不能用"systemEvent"！
systemEvent只会在 AI 会话里插入一条文本，用户根本收不到 QQ 消息。 只有agentTurn+deliver: true+channel: "qqbot"+to才能真正把消息发到 QQ。
如果你的环境中有 cron 工具，使用 JSON 参数直接调用：
cron({
"action": "add",
"job": {
"name": "喝水提醒",
"schedule": { "kind": "at", "atMs": 1770734300000 },
"sessionTarget": "isolated",
"wakeMode": "now",
"deleteAfterRun": true,
"payload": {
"kind": "agentTurn",
"message": "暖心提醒内容",
"deliver": true,
"channel": "qqbot",
"to": "qqbot:c2c:0DEBF031..."
}
}
})
⚠️ 如果没有 cron 工具，使用 exec 工具调用 openclaw CLI 命令。
重要区别：CLI 参数名和 JSON API 不一样！
| JSON API 字段 | CLI 参数 |
|---|---|
action: "add" |
openclaw cron add |
job.schedule.kind: "at" |
--at "30s" 或 --at "2026-03-14T10:00:00Z" |
job.schedule.kind: "cron" |
--cron "0 8 * * *" --tz "Asia/Shanghai" |
job.schedule.atMs |
--at "30s"（相对时间）或 ISO 时间字符串 |
job.sessionTarget: "isolated" |
--session isolated |
job.wakeMode: "now" |
--wake now |
job.deleteAfterRun: true |
--delete-after-run |
job.payload.kind: "agentTurn" |
--message "..." |
job.payload.message |
--message "..." |
job.payload.deliver: true |
--announce |
job.payload.channel: "qqbot" |
--channel qqbot |
job.payload.to |
--to "qqbot:c2c:..." |
CLI 命令示例（一次性提醒）：
exec({
command: 'openclaw cron add --name "喝水提醒" --at "30s" --session isolated --wake now --delete-after-run --announce --channel qqbot --to "qqbot:c2c:0DEBF031A9738F49D0194257976D7BAE" --message "你是一个暖心的提醒助手。请用温暖、有趣的方式提醒用户：该喝水了。要求：(1) 不要回复HEARTBEAT_OK (2) 不要解释你是谁 (3) 直接输出一条暖心的提醒消息 (4) 可以加一句简短的鸡汤或关怀的话 (5) 控制在2-3句话以内 (6) 用emoji点缀"'
})
CLI 命令示例（周期提醒）：
exec({
command: 'openclaw cron add --name "打卡提醒" --cron "0 8 * * *" --tz "Asia/Shanghai" --session isolated --wake now --announce --channel qqbot --to "qqbot:c2c:0DEBF031A9738F49D0194257976D7BAE" --message "你是一个暖心的提醒助手。请用温暖、有趣的方式提醒用户：该打卡了。要求：(1) 不要回复HEARTBEAT_OK (2) 不要解释你是谁 (3) 直接输出一条暖心的提醒消息 (4) 可以加一句简短的鸡汤或关怀的话 (5) 控制在2-3句话以内 (6) 用emoji点缀"'
})
查询提醒（CLI）：
exec({ command: 'openclaw cron list --json' })
删除提醒（CLI）：
exec({ command: 'openclaw cron rm <job-id>' })
⚠️ CLI 时间格式特殊说明：
--at 参数支持：
"30s", "5m", "1h"（推荐用于短时间提醒）"2026-03-14T10:00:00Z"1770734300000）JSON API 的 schedule.atMs 必须是毫秒时间戳，需要自己计算
CLI 的 --at 可以直接用 "30s" 这样的相对时间，更方便
如何选择？
cron 工具（如果可用）cron 工具不可用，用 exec 执行 CLI 命令openclaw cron add --help 查看完整参数列表设置提醒前，先确认当前系统时间（查看上下文中的时间信息，或执行
date）。 纯相对时间（"5分钟后"、"1小时后"）可以跳过确认，直接算Date.now() + 延迟毫秒。
| 用户说法 | 意图 | cron 工具 action |
|---|---|---|
| "5分钟后提醒我喝水" | 创建一次性提醒 | add（schedule.kind=at） |
| "每天8点提醒我打卡" | 创建周期提醒 | add（schedule.kind=cron） |
| "我有哪些提醒" | 查询 | list |
| "取消喝水提醒" | 删除 | remove |
| "修改提醒时间" | 删除+重建 | remove → add |
| "提醒我" (无时间) | 需追问 | 询问具体时间 |
AI 调用 cron 工具时，传的是 JSON 参数，不是 CLI 命令。以下是唯一正确的 JSON 格式：
一次性提醒（N 分钟后）：
{
"action": "add",
"job": {
"name": "{任务名}",
"schedule": {
"kind": "at",
"atMs": {当前时间戳毫秒 + N分钟*60000}
},
"sessionTarget": "isolated",
"wakeMode": "now",
"deleteAfterRun": true,
"payload": {
"kind": "agentTurn",
"message": "你是一个暖心的提醒助手。请用温暖、有趣的方式提醒用户：{提醒内容}。要求：(1) 不要回复HEARTBEAT_OK (2) 不要解释你是谁 (3) 直接输出一条暖心的提醒消息 (4) 可以加一句简短的鸡汤或关怀的话 (5) 控制在2-3句话以内 (6) 用emoji点缀",
"deliver": true,
"channel": "qqbot",
"to": "{openid}"
}
}
}
周期提醒（每天/每周）：
{
"action": "add",
"job": {
"name": "{任务名}",
"schedule": {
"kind": "cron",
"expr": "0 8 * * *",
"tz": "Asia/Shanghai"
},
"sessionTarget": "isolated",
"wakeMode": "now",
"payload": {
"kind": "agentTurn",
"message": "你是一个暖心的提醒助手。请用温暖、有趣的方式提醒用户：{提醒内容}。要求：(1) 不要回复HEARTBEAT_OK (2) 不要解释你是谁 (3) 直接输出一条暖心的提醒消息 (4) 可以加一句简短的鸡汤或关怀的话 (5) 控制在2-3句话以内 (6) 用emoji点缀",
"deliver": true,
"channel": "qqbot",
"to": "{openid}"
}
}
}
🚨 绝对不可更改的 5 个字段（改了提醒就废了）：
payload.kind必须是"agentTurn"— ❌ 绝对不能用"systemEvent"payload.deliver必须是truepayload.channel必须是"qqbot"payload.to必须是用户的 openidsessionTarget必须是"isolated"🚫
payload.kind: "systemEvent"只会在 AI 会话中注入文本，不会发送 QQ 消息给用户！⚠️
schedule.atMs必须是绝对毫秒时间戳（如1770733800000），不支持相对时间字符串如"5m"！ 需要自行计算：当前时间戳 + 延迟毫秒数。例如 5 分钟后 =Date.now() + 5 * 60 * 1000。
使用 cron 工具 action: "list" 查询。
使用 cron 工具 action: "remove" + jobId。
创建提醒后的反馈要简洁友好，不要啰嗦
一次性提醒：
⏰ 好的，{时间}后提醒你{提醒内容}~
周期提醒：
⏰ 收到，{周期描述}提醒你{提醒内容}~
📋 你的提醒：
1. ⏰ {提醒名} - {时间}
2. 🔄 {提醒名} - {周期}
说"取消xx提醒"可删除~
📋 目前没有提醒哦~
说"5分钟后提醒我xxx"试试？
✅ 已取消"{提醒名称}"
⚠️
schedule.atMs只接受绝对毫秒时间戳，需要自己计算！
| 用户说法 | 计算方式 |
|---|---|
| 5分钟后 | Date.now() + 5 * 60 * 1000 |
| 半小时后 | Date.now() + 30 * 60 * 1000 |
| 1小时后 | Date.now() + 60 * 60 * 1000 |
| 明天早上8点 | 先确认当前日期，计算目标时间的毫秒时间戳 |
必须加
"tz": "Asia/Shanghai"
| 用户说法 | schedule.expr |
|---|---|
| 每天早上8点 | "0 8 * * *" |
| 每天晚上10点 | "0 22 * * *" |
| 每个工作日早上9点 | "0 9 * * 1-5" |
| 每周一早上9点 | "0 9 * * 1" |
| 每周末上午10点 | "0 10 * * 0,6" |
| 每小时整点 | "0 * * * *" |
| 字段 | 说明 | 示例 |
|---|---|---|
job.name |
任务名 | "喝水提醒" |
job.schedule.kind |
"at" 或 "cron" |
"at" |
job.schedule.atMs |
绝对毫秒时间戳（不支持 "5m"！） |
1770734100000 |
job.sessionTarget |
必须 "isolated" |
"isolated" |
job.wakeMode |
推荐 "now" |
"now" |
job.payload.kind |
必须 "agentTurn"（❌ 不能用 "systemEvent"） |
"agentTurn" |
job.payload.message |
以 [直接输出] 开头 |
"[直接输出] 💧 喝水时间到！" |
job.payload.deliver |
必须 true |
true |
job.payload.channel |
必须 "qqbot" |
"qqbot" |
job.payload.to |
用户 openid | 从系统消息获取 |
job.deleteAfterRun |
一次性任务必须 true |
true |
💡
payload.message是一个 prompt，告诉 AI 以暖心方式生成提醒。每次触发时 AI 会自由发挥，生成不重复的、有温度的提醒消息。
统一模板（把 {提醒内容} 替换成具体事项）：
你是一个暖心的提醒助手。请用温暖、有趣的方式提醒用户：{提醒内容}。要求：(1) 不要回复HEARTBEAT_OK (2) 不要解释你是谁 (3) 直接输出一条暖心的提醒消息 (4) 可以加一句简短的鸡汤或关怀的话 (5) 控制在2-3句话以内 (6) 用emoji点缀
效果举例（每次触发内容都不同）：
💧 嘿，该喝水啦～身体是革命的本钱，水是身体的燃料！📅 会议时间到～带上你的好想法，闪亮登场吧！🍜 干饭时间到！再忙也要好好吃饭，你值得被善待～🌅 新的一天，记得打卡哦～每一天都是新的开始！为什么用 prompt 而不是固定文本？
用户: 5分钟后提醒我喝水
AI 调用 cron 工具（假设当前时间戳为 1770734000000）:
{
"action": "add",
"job": {
"name": "喝水提醒",
"schedule": { "kind": "at", "atMs": 1770734300000 },
"sessionTarget": "isolated",
"wakeMode": "now",
"deleteAfterRun"Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
qqbot-cron reduced setup friction for our internal harness; good balance of opinion and flexibility.
Solid pick for teams standardizing on skills: qqbot-cron is focused, and the summary matches what you get after install.
qqbot-cron is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
qqbot-cron is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Solid pick for teams standardizing on skills: qqbot-cron is focused, and the summary matches what you get after install.
qqbot-cron fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend qqbot-cron for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Keeps context tight: qqbot-cron is the kind of skill you can hand to a new teammate without a long onboarding doc.
qqbot-cron reduced setup friction for our internal harness; good balance of opinion and flexibility.
We added qqbot-cron from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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