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For new OpenClaw users, provide a staged learning path based on official docs, moving from usage to configuration to core concepts, with everyday analogies.

开发与 DevOps

许可证:MIT-0

MIT-0 ·免费使用、修改和重新分发。无需归因。

版本:v1.0.1

统计:⭐ 1 · 241 · 6 current installs · 6 all-time installs

1

安装量(当前) 6

🛡 VirusTotal :良性 · OpenClaw :可疑

Package:antler2024/openclaw-learning-coach

安全扫描(ClawHub)

  • VirusTotal :良性
  • OpenClaw :可疑

OpenClaw 评估

The skill's purpose and instructions mostly align (teaching OpenClaw from docs) but there are ambiguous instructions about accessing local installation docs and about scheduling/reminders that lack declared mechanisms or required permissions — the gaps could be innocent design choices or could enable unexpected access to local files or task systems.

目的

Name/description match the SKILL.md: the skill is a teaching assistant that uses official docs and analogies. However, the docs guidance asks the agent to prefer local docs in an OpenClaw install directory (e.g., <openclaw_install>/docs) without declaring any config path, environment variable, or permission to locate that directory. That is a minor mismatch between claimed requirements (none) and the instruction to access local installation fi…

说明范围

The runtime instructions tell the agent to: (A) read local docs under the OpenClaw installation directory if present, and (B) fall back to fetching https://docs.openclaw.ai using `web_fetch`. Reading local docs is within the skill's purpose, but the SKILL.md does not declare how to find the install path or whether the agent should prompt for explicit user permission to read files. The doc also includes scheduling behavior: it says to schedule …

安装机制

Instruction-only skill with no install spec and no code files. This is low risk from an installation perspective: nothing will be written to disk or downloaded as part of installing the skill.

证书

The skill declares no required environment variables, credentials, or config paths. The SKILL.md explicitly forbids requesting keys/tokens and forbids running commands or changing environments. Given its teaching purpose, this is proportionate. The only minor note is that it expects to read local docs (filesystem access) and to schedule reminders — both may require access/permissions that are not declared.

持久

always is false and the skill is user-invocable with normal model invocation allowed. There is no request for permanent system presence or cross-skill configuration changes, so persistence/privilege is appropriate.

安装(复制给龙虾 AI)

将下方整段复制到龙虾中文库对话中,由龙虾按 SKILL.md 完成安装。

请把本段交给龙虾中文库(龙虾 AI)执行:为本机安装 OpenClaw 技能「OpenClaw Learning Coach」。简介:For new OpenClaw users, provide a staged learning path based on official docs, …。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装:https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/antler2024/openclaw-learning-coach/SKILL.md
(来源:yingzhi8.cn 技能库)

SKILL.md

打开原始 SKILL.md(GitHub raw)

---
name: openclaw-learning-coach
description: For new OpenClaw users, provide a staged learning path based on official docs, moving from usage to configuration to core concepts, with everyday analogies.
---

# 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.