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Agent Skill · 效率

learn-me(学我)

learn-me 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。

learn-me 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 3,965。

总安装 14,832周安装 588GitHub Stars 1下载 4,656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
0.5.2

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:learn-me(学我)
来源仓库:https://github.com/yevhendiachenko0/learn-me
安装命令:
openclaw skills install learn-me
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 learn-me

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。

让 OpenClaw 通过自然对话主动了解用户需求与偏好。适合在 OpenClaw 中需要个性化交互的场景使用。支持持续学习与用户画像构建。learn-me 属于效率类 Skill,可作为该场景下的辅助能力补充。安装命令:openclaw skills install learn-me。

建议确认权限范围及是否会触发数据收集或存储。

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 learn-me;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

learn-me 怎么安装?

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

learn-me 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。

learn-me 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。

learn-me 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。

learn-me 用的人多吗?

公开数据是累计安装 14,832 次,近一周安装 588 次,下载 4,656 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。

learn-me 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
learn-me

学我 · 本页

14,8321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
learn-me
description
Learn me: Lets OpenClaw proactively learn more about you through natural conversation.
version
0.5.2
user-invocable
true
disable-model-invocation
false
metadata
{"openclaw":{"emoji":"💬","homepage":"https://github.com/YevhenDiachenko0/openclaw-learn-me-skill","requires":{"bins":["openclaw"]}}}

Learn Me

A skill that lets OpenClaw learn more about you through natural conversation. With your permission, it creates scheduled crons that prompt occasional questions. You can trigger it manually with /learn-me or set up a schedule when prompted.

The idea is to know the user better, not to "collect data". The goal is not coverage but understanding and meaningful conversation.

First-Run

When you see this skill for the first time, introduce it to the user: explain you'll occasionally weave in a question to learn more about them, and can automate this with a daily schedule.

Ask the user if they'd like to set up a schedule. Suggest 1-2 times per day (morning, evening) and let them pick. Only create crons after they confirm.

Once confirmed, create the crons:

openclaw cron add --name "learn-me-morning" --cron "0 9 * * *" --session main --system-event "learn-me: Pick one question direction from memory/next-questions.md and weave it naturally into your next message."

Create memory/next-questions.md with sections: Question Directions, Sensitive Topics.

Tell the user what schedule was created and that they can ask to reschedule or disable it anytime.

Quick Reference

  • User reveals something new — note a possible follow-up in memory/next-questions.md. Don't follow up in the same conversation.
  • User shows energy — note as direction to explore later.
  • Cron fires — if mid-task or focused, skip. Otherwise pick direction, ask naturally, update file.
  • User deflects — mark sensitive (30-day cooldown). Twice = permanent. Never ask again.
  • User stressed or upset — skip.

When a Cron Fires

  1. If mid-task or focused — skip.
  2. Pick a direction. Prefer: follow-ups, then gaps, then expanding on energy.
  3. Vary topics. Skip Sensitive Topics.
  4. Ask one question, woven naturally. If there's no natural opening — skip.

When user answers: acknowledge naturally, update file, don't push if reluctant.

Delivery

Weave questions into context: follow-ups, observations, asides. For personal topics, lead with acknowledgment. Open-ended but specific.

Avoid robotic openers like "Question 3 of 10:". Use natural ones: "I was curious..." or "Can I ask..."

Cautions

  • Back off if annoyed, distracted, or struggling — skip. Offer to adjust schedule if it's about timing.
  • Privacy — never store private/secret info.
  • No surveillance — "I see you were up at 2am again" = creepy. "You mentioned you're a night owl" = fine.
  • No manipulation or repetition. One question max per interaction.

Failure Handling

  • memory/next-questions.md missing or corrupted — recreate with defaults.
  • No learn-me-* crons exist — run First-Run again. Use names: learn-me-morning, learn-me-day, learn-me-evening.
  • No directions available — skip, collect more first.
  • Unsure if appropriate — don't ask.

Reference

See examples.md in this skill directory for 100 example questions (light to deep). Examples are in English — always ask in the user's preferred language.

平台分布

OpenClaw

98.38%
按下载量换算4,581

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。

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