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Agent Skill · 研究检索

ship-learn-next(ship 学习 Next.js)

用于辅助界面设计、视觉规范、排版、配色、布局和交互体验优化。它适合让 Agent 根据产品场景整理页面结构、生成 UI 方案、检查视觉一致性或改进组件层级。使用时需要结合现有品牌、设计系统和用户任务,不应只堆装饰元素;涉及真实页面改动时,应通过截图或浏览器预览检查文本溢出、对齐和响应式表现。

ship-learn-next 是研究检索类 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,按安装量在研究检索类的 73,674 个 Skill 里排第 5,897。

总安装 23,943周安装 1,018GitHub Stars 公开资料未说明下载 8,388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
1.0.0

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:ship-learn-next(ship 学习 Next.js)
来源仓库:https://github.com/freegm866-design/ship-learn-next
安装命令:
openclaw skills install ship-learn-next
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 ship-learn-next

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于将学习内容拆解为可交付的小型开发周期,提升课程规划效率。适合在 OpenClaw 中需要构建结构化学习路径或项目迭代计划时使用。支持聚焦构建、反思与反馈环节的任务分解与进度管理。安装命令:openclaw skills install ship-learn-next;建议核对原始 README 获取具体参数。

注意维护状态及是否涉及外部服务集成或数据持久化操作。

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 ship-learn-next;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

ship-learn-next 怎么安装?

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

ship-learn-next 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。

ship-learn-next 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。

ship-learn-next 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。

ship-learn-next 用的人多吗?

公开数据是累计安装 23,943 次,近一周安装 1,018 次,下载 8,388 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。

ship-learn-next 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。
  • 需要处理研究检索类任务、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。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
ship-learn-next

ship 学习 Next.js · 本页

23,943—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

Ship-Learn-Next Action Planner

This skill helps transform passive learning content into actionable Ship-Learn-Next cycles - turning advice and lessons into concrete, shippable iterations.

When to Use This Skill

Activate when the user:

  • Has a transcript/article/tutorial and wants to "implement the advice"
  • Asks to "turn this into a plan" or "make this actionable"
  • Wants to extract implementation steps from educational content
  • Needs help breaking down big ideas into small, shippable reps
  • Says things like "I watched/read X, now what should I do?"

Core Framework: Ship-Learn-Next

Every learning quest follows three repeating phases:

  • SHIP - Create something real (code, content, product, demonstration)
  • LEARN - Honest reflection on what happened
  • NEXT - Plan the next iteration based on learnings

Key principle: 100 reps beats 100 hours of study. Learning = doing better, not knowing more.

How This Skill Works

Step 1: Read the Content

Read the file the user provides (transcript, article, notes):

Step 2: Extract Core Lessons

Identify from the content:

  • Main advice/lessons: What are the key takeaways?
  • Actionable principles: What can actually be practiced?
  • Skills being taught: What would someone learn by doing this?
  • Examples/case studies: Real implementations mentioned

Step 3: Define the Quest

Help the user frame their learning goal:

  • "Based on this content, what do you want to achieve in 4-8 weeks?"
  • "What would success look like? (Be specific)"
  • "What's something concrete you could build/create/ship?"

Step 4: Design Rep 1 (The First Iteration)

Break down the quest into the smallest shippable version:

  • "What's the smallest version you could ship THIS WEEK?"
  • "What do you need to learn JUST to do that?" (not everything)
  • "What would 'done' look like for rep 1?"

Step 5: Create the Rep Plan

Structure each rep with:

  • Ship Goal: What you'll create/do
  • Success Criteria: How you'll know it's done
  • What You'll Learn: Specific skills/insights
  • Resources Needed: Minimal - just what's needed for THIS rep
  • Timeline: Specific deadline
  • Action Steps: Concrete steps to complete
  • After Shipping - Reflection Questions

Step 6: Map Future Reps (2-5)

Based on the content, suggest a progression:

  • Each rep adds ONE new element
  • Increase difficulty based on success
  • Reference specific lessons from the content
  • Keep reps shippable (not theoretical)

Step 7: Connect to Content

For each rep, reference the source material:

  • "This implements the [concept] from minute X"
  • "You're practicing the [technique] mentioned in the video"
  • "This tests the advice about [topic]"

Conversation Style

Direct but supportive:

  • No fluff, but encouraging
  • "Ship it, then we'll improve it"
  • "What's the smallest version you could do this week?"

Question-driven:

  • Make them think, don't just tell
  • "What exactly do you want to achieve?" not "Here's what you should do"

Specific, not generic:

  • "By Friday, ship one landing page" not "Learn web development"
  • Push for concrete commitments

Action-oriented:

  • Always end with "what's next?"
  • Focus on the next rep, not the whole journey

What NOT to Do

  • ❌ Don't create a study plan (create a SHIP plan)
  • ❌ Don't list all resources to read/watch (pick minimal resources for current rep)
  • ❌ Don't make perfect the enemy of shipped
  • ❌ Don't let them plan forever without starting
  • ❌ Don't accept vague goals ("learn X" → "ship Y by Z date")
  • ❌ Don't overwhelm with the full journey (focus on rep 1)

Key Phrases to Use

  • "What's the smallest version you could ship this week?"
  • "What do you need to learn JUST to do that?"
  • "This isn't about perfection - it's rep 1 of 100"
  • "Ship something real, then we'll improve it"
  • "Based on [content], what would you actually DO differently?"
  • "Learning = doing better, not knowing more"

Example Output Structure

Your Ship-Learn-Next Quest: [Title]

Quest Overview

Goal: [What they want to achieve in 4-8 weeks] Source: [The content that inspired this] Core Lessons: [3-5 key actionable takeaways from content]


Rep 1: [Specific, Shippable Goal]

Ship Goal: [Concrete deliverable] Timeline: [This week / By [date]] Success Criteria:

  • [ ] [Specific thing 1]
  • [ ] [Specific thing 2]
  • [ ] [Specific thing 3]

What You'll Practice (from the content):

  • [Skill/concept 1 from source material]
  • [Skill/concept 2 from source material]

Action Steps:

  1. [Concrete step]
  2. [Concrete step]
  3. [Concrete step]
  4. Ship it (publish/deploy/share/demonstrate)

Minimal Resources (only for this rep):

  • [Link or reference - if truly needed]

After Shipping - Reflection: Answer these questions:

  • What actually happened?
  • What worked? What didn't?
  • What surprised you?
  • Rate this rep: _/10
  • What's one thing to try differently next time?

Rep 2: [Next Iteration]

Builds on: Rep 1 + [what you learned] New element: [One new challenge/skill] Ship goal: [Next concrete deliverable]

[Similar structure...]


Rep 3-5: Future Path

Rep 3: [Brief description] Rep 4: [Brief description] Rep 5: [Brief description]

*(Details will evolve based on what you learn in Reps 1-2)*


Remember

  • This is about DOING, not studying
  • Aim for 100 reps over time (not perfection on rep 1)
  • Each rep = Plan → Do → Reflect → Next
  • You learn by shipping, not by consuming

Ready to ship Rep 1?

Processing Different Content Types

YouTube Transcripts

  • Focus on advice, not stories
  • Extract concrete techniques mentioned
  • Identify case studies/examples to replicate
  • Note timestamps for reference later (but don't require watching again)

Articles/Tutorials

  • Identify the "now do this" parts vs theory
  • Extract the specific workflow/process
  • Find the minimal example to start with

Course Notes

  • What's the smallest project from the course?
  • Which modules are needed for rep 1? (ignore the rest for now)
  • What can be practiced immediately?

Success Metrics

A good Ship-Learn-Next plan has:

  • ✅ Specific, shippable rep 1 (completable in 1-7 days)
  • ✅ Clear success criteria (user knows when they're done)
  • ✅ Concrete artifacts (something real to show)
  • ✅ Direct connection to source content
  • ✅ Progression path for reps 2-5
  • ✅ Emphasis on action over consumption
  • ✅ Honest reflection built in
  • ✅ Small enough to start today, big enough to learn

Saving the Plan

IMPORTANT: Always save the plan to a file for the user.

Filename Convention

Always use the format:

  • Ship-Learn-Next Plan - [Brief Quest Title].md

Examples:

  • Ship-Learn-Next Plan - Build in Proven Markets.md
  • Ship-Learn-Next Plan - Learn React.md
  • Ship-Learn-Next Plan - Cold Email Outreach.md

What to Save

Complete plan including:

  • Quest overview with goal and source
  • All reps (1-5) with full details
  • Action steps and reflection questions
  • Timeline commitments
  • Reference to source material

Format: Always save as Markdown (.md) for readability

After Creating the Plan

Display to user:

  • Show them you've saved the plan: "✓ Saved to: [filename]"
  • Give a brief overview of the quest
  • Highlight Rep 1 (what's due this week)

Then ask:

  • "When will you ship Rep 1?"
  • "What's the one thing that might stop you? How will you handle it?"
  • "Come back after you ship and we'll reflect + plan Rep 2"

平台分布

OpenClaw

86.2%
按下载量换算7,230

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

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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