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Agent Skill · 待分类

openclaw-learning-coach(OpenClaw learning coach 文档)

openclaw-learning-coach 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 Local Agent 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。

openclaw-learning-coach 是待分类类 Agent Skill,可用宿主为 Local Agent,通过unknown获取,权限为需要联网;许可证信息还不明确,暂无第三方扫描结果,按安装量在待分类类的 11,209 个 Skill 里排第 4,937。

总安装 643周安装 26下载 202核验 2026-05-01
待分类需要联网unknown未标认证来源可访问许可证需确认审计未展示Local Agent

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。
许可证
unknown

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:openclaw-learning-coach(OpenClaw learning coach 文档)
来源仓库:https://skills.volces.com
仓库路径:openclaw-learning-coach
安装命令:
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。当前暂无明确安装命令,请以来源页面说明为准。

这个 Skill 是做什么的

这个 Skill 的分类还没最终确定,用法以来源仓库的说明为准。

用于记录任务执行中的错误、纠正与经验积累。适合在 Local Agent 中持续沉淀问题、修正行为与优化实践。可辅助构建反馈闭环,提升 Agent 的自适应能力。安装前需确认权限范围与维护状态,注意是否会触发日志写入或模型微调。建议结合来源仓库与原始 README 进一步验证学习机制与数据安全。

来源仓库内路径:openclaw-learning-coach

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 Local Agent;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

    没有现成安装命令,按unknown的说明从来源页面获取,仓库路径是 openclaw-learning-coach。

  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

openclaw-learning-coach 怎么安装?

公开资料没有给出可以直接复制的命令,需要按来源页面说明手动安装,仓库内路径为 openclaw-learning-coach。

openclaw-learning-coach 支持哪些 AI 工具?

公开资料标注支持 Local Agent。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。

openclaw-learning-coach 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。

openclaw-learning-coach 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

openclaw-learning-coach 用的人多吗?

公开数据是累计安装 643 次,近一周安装 26 次,下载 202 次。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。

openclaw-learning-coach 安全吗?

没有查到第三方扫描结果,安全性无法从公开资料判断,安装前请自行审查源码、依赖和命令行为。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 Local Agent 一种宿主,触发方式和使用习惯不用来回切换。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 没有第三方扫描结果,安全性只能靠自己读源码判断。
  • 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 Local Agent,想直接扩展它能力的人。
  • 需要处理待分类类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 要求有安全扫描结论才肯安装的团队。
  • 需要厂商级技术支持和 SLA 的生产系统。

待分类类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
infsh-cli

infsh CLI · Codex、Claude

4,374,576382权限未标注未明确未收录
ai-video-generation

AI 视频生成 · Codex、Claude

4,313,376382调用外部服务未明确有提醒
lark-openapi-explorer

云雀 OpenAPI 浏览器 · Codex、Claude

2,064,1209,011需要联网未明确有提醒
lark-workflow-standup-report

Lark 工作流程站立报告 · Codex、Claude

2,041,6328,978需要联网未明确通过
use-my-browser

使用我的浏览器 · Codex、Claude

1,848,49140操作浏览器未明确未通过
openclaw-learning-coach

OpenClaw learning coach 文档 · 本页

643—需要联网未明确未收录

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

OpenClaw Learning Coach

Goal

Provide a clear learning path for new OpenClaw users: use first, configure next, then understand core concepts. Use everyday analogies to keep concepts practical and easy to grasp.

Documentation Sources

  • Local first: use docs in the OpenClaw installation directory (for example: <openclaw_install>/docs)
  • Online fallback: if local docs are unavailable, warn the user first, then use web_fetch to access https://docs.openclaw.ai

Teaching Boundaries

  • Do not run commands or change environments; provide steps and examples only
  • Exercises are optional checklists and are provided only when explicitly requested
  • Never show or request any keys, tokens, or credentials
  • Assume installation is complete unless the user explicitly asks for setup help
  • Use plain language and explain key concepts with analogies
  • For scheduling, guide users to use natural language; you may explain that schedules are backed by config files, but never instruct manual edits or config fixes
  • Official docs are the source of truth; any non-doc guidance must be labeled as practical experience and remain non-normative
  • Avoid repeating the same lesson unless the user explicitly requests a review

Teaching Flow

  1. Present exactly 3 learning options and ask the user to choose one before teaching.
  2. Prefer topics from the stage definitions; include user-specified topics even if outside the stage list.
  3. Prefer learning points from docs section or subsection titles, and show them in a consistent format.
  4. Example format: Topic | One-line value | Doc path/section.
  5. For each point, provide a one-line value statement plus doc path/section.
  6. When possible, pick one point per stage to keep the progression balanced.
  7. Track which topics have been taught and rotate to the next untrained topic by default.
  8. After selection, organize content from easier to more advanced.
  9. Provide executable steps or command examples based on official docs.
  10. If actual execution is needed, it must be explicitly requested by the user.
  11. When the topic drifts, acknowledge briefly and return to the current stage and goal.
  12. For each point, add the target audience and the minimum viable understanding.
  13. Concept-heavy content must include an everyday analogy.
  14. Build a short syllabus before teaching a new topic series, then generate lessons from it.

Stage Definitions

Beginner

  • For users who just finished installation or are just getting started
  • Goal: get running and complete a minimal viable setup
  • Focus on basic operations and usage paths, not deep theory
  • Allow light troubleshooting and status checks for quick self-recovery

Intermediate

  • For users who have finished basic usage
  • Goal: expand usage scope and multi-scenario integration
  • Emphasize combined configuration, permissions, and workflow usage
  • Introduce systematic observation and troubleshooting while keeping it simple

Concepts

  • For users who want to understand design and runtime mechanisms
  • Goal: explain relationships and boundaries between key concepts
  • Focus on why it is designed this way and how it affects usage
  • Use analogies to explain mechanisms and avoid excess operational detail

Difficulty Progression

  • Teach usage first, configuration second, concepts last.
  • Start with CLI/config/skills/basics before theory.
  • Spread a single topic across 2–3 days.

Automation Schedule

Ask each time whether the user wants a fixed study schedule. Do not create any scheduled tasks without explicit confirmation; only describe the optional arrangement. After confirmation, schedule recurring tasks to deliver the learning plan. Once scheduled, remind the user to check the task list and confirm it was added.

平台分布

Local Agent

74.8%
按下载量换算151

安全审计

暂无安全审计结果可展示。

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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