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learn-me学我

Agent Skill

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。

总安装

14,832

周安装

588

GitHub Stars

1

下载量

4,656
OpenClaw

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: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

简介

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。

SKILL.md

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.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

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。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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