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Agent Skill · 效率

daily-questions(日常问题)

daily-questions 用于记录任务执行中的错误、用户纠正、经验和能力缺口,适合在 OpenClaw 中希望让 Agent 持续沉淀问题、修正和最佳实践时使用。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。

daily-questions 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为只读;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 1,938。

总安装 31,754周安装 1,310GitHub Stars 1下载 10,375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
1.1.0

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:daily-questions(日常问题)
来源仓库:https://github.com/daijo-bu/daily-questions
安装命令:
openclaw skills install daily-questions
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 daily-questions

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。

通过每日调查问卷持续优化 Agent 行为,提升任务执行准确性。适合希望 Agent 自我迭代、适应个体工作习惯的用户部署。以 cron 作业形式自动运行,支持多问题轮询与反馈收集。需配置合理的提问频率,避免过度打扰影响用户体验。建议结合日志分析,识别高频问题以优化长期表现。

daily-questions 属于效率类 Skill,可作为该场景下的辅助能力补充。

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 daily-questions;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

daily-questions 怎么安装?

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

daily-questions 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。

daily-questions 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

daily-questions 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。

daily-questions 用的人多吗?

公开数据是累计安装 31,754 次,近一周安装 1,310 次,下载 10,375 次,GitHub 1 星。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。

daily-questions 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。
  • 标注为只读权限,试用阶段不容易误改本地文件。

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
daily-questions

日常问题 · 本页

31,7541只读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
daily-questions
description
Daily self-improving questionnaire that learns about the user and refines agent behavior. Set up as a cron job to ask questions one at a time with multiple choice answers via Telegram inline buttons — first about the user (updating USER.md), then about agent behavior (updating SOUL.md). Use when setting up, modifying, or running the daily questions routine.

Daily Questions

A daily routine that asks the user questions to continuously build understanding and improve agent behavior. Questions are presented one at a time with multiple choice buttons on Telegram for quick tapping.

Setup

Create a cron job with a prompt like:

Time for your daily questions. Read the daily-questions SKILL.md, then follow the workflow exactly. Read USER.md and SOUL.md, identify gaps. Ask {N} user questions then {N} agent questions, one at a time with multiple choice buttons. Update the files after each round.

Configurable parameters:

  • Schedule: Default 21:00 daily (adjust to user's preferred wind-down time)
  • Channel: Telegram (buttons require Telegram inline keyboard support)
  • Questions per round: Default 3 (keep it light)

Workflow

  1. Read USER.md and SOUL.md fully
  2. Identify gaps — what topics, preferences, or behaviors aren't covered yet?
  3. Round 1 (User questions): Ask questions about the user, one at a time (see Question Flow below). After all questions answered, update USER.md — weave answers into existing sections or create new ones. Keep USER.md organized, not a raw Q&A dump.
  4. Round 2 (Agent questions): Ask questions about agent behavior/communication, same one-at-a-time flow. After all answered, update SOUL.md the same way.

Question Flow (One at a Time)

For each question:

  1. Generate the question and 3 plausible multiple choice answers (A, B, C) tailored to the question. Make the options genuinely different and useful — not throwaway filler.
  2. Send the question as a message with 4 inline buttons via the message tool:

- Button A: First option - Button B: Second option - Button C: Third option - ✏️ Type my own: For custom/granular answers

  1. Send using the message tool with buttons. Use unique callback IDs per question to avoid conflicts when users tap old buttons:
{
  "action": "send",
  "channel": "telegram",
  "to": "<user_telegram_id>",
  "message": "**Round 1 — Question 1/3**\
\
<question text here>\
\
A) <option A>\
B) <option B>\
C) <option C>\
\
Tap a button or type your own answer:",
  "buttons": [
    [
      { "text": "A", "callback_data": "dq_r1q1_a" },
      { "text": "B", "callback_data": "dq_r1q1_b" },
      { "text": "C", "callback_data": "dq_r1q1_c" }
    ],
    [
      { "text": "✏️ Type my own", "callback_data": "dq_r1q1_custom" }
    ]
  ]
}

The format is dq_r{round}q{question}_{choice} — e.g., dq_r2q3_b = Round 2, Question 3, option B.

  1. Wait for the response. The user will either:

- Tap a button → you receive callback_data: dq_r1q1_a (or similar) - Type a free-text answer directly (treat as custom)

  1. If the callback doesn't match the current question (e.g., user tapped an old button), ignore it and keep waiting for the correct response.
  1. If dq_rXqX_custom: Reply asking them to type their answer, then wait for the next message.
  1. Record the answer, then move to the next question.
  1. After all questions in the round are answered, update the relevant file (USER.md or SOUL.md).

Question Quality Guidelines

  • Vary topics — rotate through categories (see references/example-questions.md)
  • Go deeper — if USER.md says "likes cooking," ask what cuisine, skill level, favorite dish
  • Stay casual — conversational tone, not an interview
  • No repeats — never ask about something already well-documented
  • Mix fun and practical — alternate between lighthearted and useful questions
  • Good multiple choice options — make them realistic and distinct. Draw from common preferences, not absurd extremes. The options should feel like plausible answers a real person would give.

Important Notes

  • One question at a time — never batch questions into a single message
  • Always use inline buttons on Telegram — this is the primary interaction method
  • Include the question text AND options in the message body so the user can read everything before tapping
  • Label rounds and progress (e.g., "Round 1 — Question 2/3") so the user knows where they are
  • After sending buttons via the message tool, respond with NO_REPLY to avoid sending a duplicate plain-text message

平台分布

OpenClaw

90.09%
按下载量换算9,347

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。

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