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self-learning自学

Agent Skill

self-learning 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 Codex、Claude、Cursor、Gemini CLI 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。

总安装

67,512

周安装

2,875

GitHub Stars

62

下载量

23,664
CodexClaudeCursorGemini CLI

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

unknown

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:self-learning(自学)
来源仓库:https://github.com/philschmid/self-learning-skill
仓库路径:skills/self-learning
安装命令:
npx skills add https://github.com/philschmid/self-learning-skill --skill self-learning
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/philschmid/self-learning-skill --skill self-learning

简介

从网络上自主研究新技术并生成可重用的Agent Skill。

  • 通过网络搜索发现权威文档,优先考虑官方文档、GitHub 存储库和博客
  • 从 3-5 个高质量来源中提取安装、核心概念、API 参考和代码示例
  • 使用 YAML frontmatter、markdown 指令和可选的捆绑资源(脚本、参考文献、资产)生成独立的技能
  • 将技能保存到特定工作区或全局目录;使用学到的技术时自动触发技能
  • 通过要求澄清来处理不明确的主题,并针对 JavaScript 较多的网站使用浏览器自动化

SKILL.md

Self-Learning Skill Generator

Autonomously research and learn new technologies from the web, then generate a reusable skill.

Usage

/learn <topic>

If <topic> is missing, show usage. If topic is ambiguous, ask to clarify:

  • "react" → "React for web, React Native, or a specific library like react-query?"
  • "apollo" → "Apollo GraphQL client, Apollo Server, or Apollo Federation?"
  • "aws" → "Which AWS service? (S3, Lambda, DynamoDB, etc.)"

Normalize to kebab-case for filenames.

2. Discover Sources (Web Search)

Use web search tool to find authoritative documentation:

Search queries to try:

  1. <topic> official documentation
  2. <topic> getting started guide
  3. <topic> API reference
  4. <topic> GitHub repository

Source prioritization:

  1. Official docs sites (e.g., docs.*, *.dev)
  2. Official GitHub repositories (README, /docs)
  3. Official blogs/announcements

Select 3–5 high-quality URLs maximum.

If no credible sources found, ask user to provide a URL.


3. Extract Content (URL Reading)

For each selected URL, read the content:

Extract only relevant sections:

  • Installation / setup
  • Core concepts
  • API reference / key functions
  • Common patterns / examples
  • Version information

Skip irrelevant content:

  • Navigation, ads, login prompts
  • Unrelated sidebar content
  • Comments, forums

If reading the content fails (JavaScript-heavy sites), fall back to browser agent:

Task: Navigate to <URL> and extract the main content including:
- Installation instructions
- Core concepts and API reference
- Code examples
Return the extracted content as markdown.

Record scrape timestamp for each source (use current date: YYYY-MM-DD format).


4. Generate Skill

Skills are modular, self-contained packages. Every skill consists of a required SKILL.md file and optional bundled resources:

skill-name/
├── SKILL.md (required)
│   ├── YAML frontmatter metadata (required)
│   │   ├── name: (required)
│   │   └── description: (required)
│   └── Markdown instructions (required)
└── Bundled Resources (optional)
    ├── scripts/          - Executable code (Python/Bash/etc.)
    ├── references/       - Documentation intended to be loaded into context as needed
    └── assets/           - Files used in output (templates, icons, fonts, etc.)
  1. Read references/skill_creation_guide.md to understand the format and principles.
  2. Synthesize the learned and extracted information into a new skill.

- Trigger: Write a description that clearly defines when to use it. - Workflow: Create step-by-step instructions. - Format: Ensure valid YAML frontmatter and proper file structure.

5. Save the Skill

Antigravity supports two types of skills, save a global-workspace if asked.

  • .agent/skills/<skill-folder>/ Workspace-specific
  • ~/.gemini/antigravity/skills/<skill-folder>/ Global (all workspaces)

Create directory if it doesn't exist, warn user before overwriting existing skill.


6. Confirm to User

Report:

✓ Created skill: <topic>
  Sources scraped: <N>
  Saved to: .agent/skills/<topic>/SKILL.md
  This skill will auto-trigger when working with <topic>.

Tool Reference

  • search_web: Discover documentation URLs
  • read_url_content: Extract content from static pages
  • browser_subagent: Extract content from JavaScript-heavy sites
  • write_to_file: Save the generated skill

Critical Rules

  1. Never hallucinate documentation: Only include information from scraped sources.
  2. Never invent APIs: If documentation is unclear, ask the user what to do.
  3. Ask for URLs: If automated discovery fails, ask user for specific URLs.
  4. Verify sources: Prefer official sources over third-party tutorials.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

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

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

Codex

38.15%
按下载量换算9,028

Claude

26.74%
按下载量换算6,328

Cursor

17.51%
按下载量换算4,144

Gemini CLI

9.93%
按下载量换算2,350

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

可疑

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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