Token导航 LogoToken导航

Agent Skill · AI 工具

learn-nexus(学习联系)

learn-nexus 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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-nexus 是AI 工具类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证为 MIT,第三方扫描已通过,按安装量在AI 工具类的 2,536 个 Skill 里排第 2,232。

总安装 275周安装 11GitHub Stars 2下载 89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

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-nexus(学习联系)
来源仓库:https://github.com/abdullahbeam/nexus-design-abdullah
仓库路径:skills/learn-nexus
安装命令:
npx skills add https://github.com/abdullahbeam/nexus-design-abdullah --skill learn-nexus
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/abdullahbeam/nexus-design-abdullah --skill learn-nexus

这个 Skill 是做什么的

AI 工具类 Skill 用来扩展助手本身的能力,例如接模型、接检索、接外部服务。

learn-nexus 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态进行整理时使用。适用于 AI 工具类任务,可结合来源仓库和原始 README 核验具体用法。

通过 npx skills add 命令从 GitHub 安装,需确认权限范围和维护状态。使用前建议检查是否会触发联网、命令执行或文件读写操作。当前维护状态和稳定性需结合仓库活跃度进一步确认。

来源仓库内路径:skills/learn-nexus

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 Codex、Claude、Cursor、Gemini CLI;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 npx skills add https://github.com/abdullahbeam/nexus-design-abdullah --skill lea…;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

learn-nexus 怎么安装?

在终端执行 npx skills add https://github.com/abdullahbeam/nexus-design-abdullah --skill learn-nexus。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

learn-nexus 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。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-nexus 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。

learn-nexus 是免费的吗?

来源标注的许可证是 MIT。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-nexus 用的人多吗?

公开数据是累计安装 275 次,近一周安装 11 次,下载 89 次,GitHub 2 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-nexus 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

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,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 Codex,想直接扩展它能力的人。
  • 需要处理AI 工具类任务、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。

AI 工具类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
executing-plans

执行计划 · Codex、Claude

1,515,336173,110只读MIT通过
verification-before-completion

完成前的验证 · Codex、Claude

1,319,472173,121权限未标注MIT通过
subagent-driven-development

子 Agent 驱动开发 · Codex、Claude

1,312,416173,138只读MIT通过
copy-editing

复制编辑 · Codex、Claude

1,209,57625,632只读MIT通过
paywall-upgrade-cro

付费专区升级 cro · Codex、Claude

1,030,17625,617只读MIT通过
learn-nexus

学习联系 · 本页

2752只读MIT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

🎯 AI Proactive Triggering (ONBOARDING SKILL)

This is an ONBOARDING skill with MEDIUM PRIORITY (suggest after core onboarding complete).

When to Proactively Suggest (AI MUST check user-config.yaml)

Check learning_tracker.completed.learn_nexus in user-config.yaml. If false:

PROACTIVELY SUGGEST when user:

  1. Has completed OTHER onboarding skills (setup-goals, learn-projects, learn-skills) but hasn't done learn-nexus yet - suggest as "graduation" step
  2. Asks philosophical questions ("why does Nexus work this way?", "what's the design behind...")
  3. Encounters AI patterns (false progress, incomplete reads, over-engineering)
  4. Makes common mistakes (creating projects instead of skills, skipping close-session)
  5. Expresses interest in mastering the system or best practices
  6. After using Nexus for 3+ sessions without completing this skill

Suggestion Pattern (after other onboarding):

💡 You've learned the core concepts! Ready for system mastery? 'learn nexus'
(15 min) covers the philosophy, design principles, common pitfalls, and
expert collaboration techniques.

This is the "graduation" skill - after this, you'll understand Nexus deeply.

Suggestion Pattern (encountering issues):

💡 I notice you're running into [AI pattern / common mistake]. The 'learn nexus'
skill covers exactly how to handle this. Want to take 15 minutes to learn
the system deeply? It'll prevent these issues in the future.

DO NOT suggest if:

  • learning_tracker.completed.learn_nexus: true
  • User hasn't completed core onboarding yet (suggest core skills first)
  • User is new and just getting started (too advanced for first sessions)

Learn Nexus

Master Nexus through understanding its philosophy, design principles, and practical patterns.

Purpose

Help users understand WHY Nexus works the way it does, avoid common mistakes, and collaborate effectively with AI.

Time Estimate: 15-18 minutes


Part A: The Living Knowledge Organism (3 min)

Display:

━━━ CORE PHILOSOPHY ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

ALL FILES IN THIS SYSTEM ARE EXECUTABLE — NOT DOCUMENTATION!

Every .md file, .yaml config, and planning document is designed
to be READ, LOADED, and EXECUTED by AI in conversation.

This is not a static knowledge base. It's a living, breathing
organism that guides you through work, adapts to your context,
and evolves with every interaction.

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Ask: "Does that click? Every markdown file is essentially code for the AI."


Part B: The 7 Problems Nexus Solves (4 min)

Display one at a time, confirm understanding:

━━━ THE 7 PROBLEMS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

1. AI AMNESIA
   Problem: AI forgets everything every session
   Solution: Memory files auto-load every session (goals.md, etc.)

2. FILE CHAOS
   Problem: AI generates files randomly everywhere
   Solution: 5-folder system with clear boundaries

3. INCONSISTENT RESULTS
   Problem: AI improvises differently every time
   Solution: Skills = saved workflows with exact steps

4. REPEATED WORK
   Problem: Build same workflow multiple times
   Solution: Create skill once, reuse forever

5. CONTEXT OVERLOAD
   Problem: Loading everything slows responses
   Solution: Progressive loading (metadata first, content on-demand)

6. HARD TO LEARN
   Problem: Steep learning curve, overwhelming complexity
   Solution: Optional onboarding skills, smart defaults

7. IMMEDIATE EXECUTION
   Problem: AI builds before understanding requirements
   Solution: Planning mode → separate execution session

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Ask: "Which of these problems have you experienced? That's why Nexus exists."


Part C: The 7 Design Principles (4 min)

Display:

━━━ 7 DESIGN PRINCIPLES ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

1. INSTRUCTION-DRIVEN
   Python script returns COMPLETE instructions.
   AI follows exactly. Zero interpretation.

2. YAML-DRIVEN AUTO-DETECTION
   Everything has metadata describing when to load it.
   AI matches your message → context loads automatically.

3. SKILL-FIRST EXECUTION
   Skills have priority over projects.
   User skills have priority over system skills.

4. PROGRESSIVE DISCLOSURE
   Load minimum at start (metadata only).
   More context just-in-time when needed.

5. STATE IN DATA FILES
   System state tracked in YAML and checkboxes.
   No hidden logic. Transparent. Inspectable.

6. CONTEXT PRESERVATION
   Nothing is lost between sessions.
   close-session saves everything automatically.

7. CONCRETE BEFORE ABSTRACT
   Experience first, explanation after.
   Value delivery before feature teaching.

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Ask: "Any principle you want me to explain further?"


Part D: System Pitfalls (2 min)

Pitfall #1: Projects Instead of Skills

WRONG:
📁 weekly-report-week-1/
📁 weekly-report-week-2/
📁 weekly-report-week-3/

RIGHT:
📁 weekly-report/  # ONE skill, used weekly

If creating "name-1", "name-2"... STOP! That's a skill.

Pitfall #2: Skipping Close-Session

Without "done" / "close session":
❌ Progress not saved
❌ Learnings not captured
❌ Next session loses context

Always say "done" when finished.

Pitfall #3: Over-Organizing

WRONG (day 1): 20 nested empty folders
RIGHT (day 1): 3-5 essential folders

Add folders WHEN needed, not before.

Part E: AI Collaboration Patterns (2 min)

Pattern #1: False Progress

AI: "Done! Files created."
(But they don't exist)

Detection:
🔍 "Show me the files"
🔍 "Read that back"

Pattern #2: Incomplete Reads

AI reads 100 of 500 lines, misses critical info.

Detection:
🔍 "Did you read the ENTIRE file?"
🔍 "What's at the end?"

Pattern #3: Over-Engineering

You want simple, AI builds framework.

Detection:
🔍 "Can this be simpler?"
🔍 "What's the minimum needed?"

Part F: Expert Techniques (2 min)

"Yes, And..." Collaboration

You: "Create sales proposal template"
AI: "I'll create it. I notice you target enterprise
     clients - should I add ROI calculator?"

Evaluate additions, don't auto-accept/reject.

Intelligent Friction

You: "Create 10 projects for Q1"
AI: "Before 10 projects: Which unblocks others?
     Should some be skills? Start with 2-3?"

Good friction prevents wasted effort.

The Planning Pattern

Session 1 (Planning - 20-30 min):
- Create project structure
- Fill overview.md, plan.md, steps.md
- NO IMPLEMENTATION

Session 2 (Execution):
- Load planning files (crystal-clear requirements)
- Execute end-to-end
- Minimal intervention needed

Planning optimized for thinking. Execution optimized for doing.


Part G: Mastery Check (2 min)

Quick quiz:

  1. Creating "expense-report-jan", "expense-report-feb"... Fix?
  2. AI says "Done! All files created." Response?
  3. What's the #1 design principle of Nexus?

Answers:

  1. ONE "expense-report" skill
  2. "Show me the files"
  3. Instruction-driven (Python script controls, AI follows)

Finalize

Actions (MUST complete all):

  1. Mark skill complete in user-config.yaml: learning_tracker: completed: learn_nexus: true # ADD THIS LINE
  2. Display completion: ✅ Learn Nexus Complete! You now understand: • The Living Knowledge Organism philosophy • 7 problems Nexus solves • 7 design principles (instruction-driven, skill-first, etc.) • 3 system pitfalls to avoid • 3 AI patterns to detect • Expert collaboration techniques You're ready to use Nexus at full power. Next steps: • 'create project' - Start a new project • 'create skill' - Capture a workflow • Just work - Nexus guides you
  3. Prompt close-session: 💡 When you're done working, say "done" to save progress.

Success Criteria

  • User understands the Living Knowledge Organism philosophy
  • User knows the 7 problems Nexus solves
  • User can name key design principles
  • User knows 3 system pitfalls and how to avoid them
  • User can detect 3 AI behavior patterns
  • User understands expert collaboration patterns
  • User passed mastery check quiz
  • learning_tracker.completed.learn_nexus: true in user-config.yaml

平台分布

Claude Code

27.04%
按下载量换算24

Antigravity

23.09%
按下载量换算21

windsurf

17.99%
按下载量换算16

Codex

13.51%
按下载量换算12

OpenCode

8.45%
按下载量换算8

Gemini CLI

3.52%
按下载量换算3

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

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。

继续浏览同类 Skills