SE

Researches and synthesizes web documentation into reusable skill packages.

Install

mkdir -p .claude/skills/self-learning && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/15774" && unzip -o skill.zip -d .claude/skills/self-learning && rm skill.zip

Installs to .claude/skills/self-learning

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Autonomous skill generator that learns new technologies from the web. Use when, users want to learn about a new library/framework/tool, need to create a skill for an unfamiliar technology, want to research and document a technology's usage patterns, or invoke with `/learn <topic>`. This skill uses web search and browser tools to discover, extract, and synthesize documentation into a reusable skill.
401 chars✓ has a “when” triggerlonger than Claude Code's old 250-char listing cap (fine on current versions)
Intermediate

Key capabilities

  • Discover authoritative documentation sources using web search
  • Extract relevant content from URLs, including installation, concepts, and API references
  • Generate a new skill by synthesizing learned information into SKILL.md and bundled resources
  • Save generated skills to workspace-specific or global directories
  • Confirm skill creation to the user with details on sources and save location
  • Handle ambiguous topics by asking for clarification

How it works

This skill autonomously researches new technologies from the web by discovering documentation, extracting relevant content, and synthesizing it into a reusable skill. It then saves the generated skill and confirms its creation to the user.

Inputs & outputs

You give it
A topic for a new library, framework, or tool
You get back
A reusable skill with SKILL.md and optional bundled resources for the specified topic

When to use self-learning

  • Learning a new framework
  • Generating documentation for new tools
  • Researching API usage

About this skill

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.

When not to use it

  • The user already has a clear understanding of the technology
  • The technology is proprietary and lacks public documentation
  • The task requires real-time information not available in static documentation

Limitations

  • Never hallucinate documentation: Only include information from scraped sources
  • Never invent APIs: If documentation is unclear, ask the user what to do
  • Ask for URLs: If automated discovery fails, ask user for specific URLs

How it compares

This skill automates the process of learning and skill generation from web sources, providing a structured and repeatable way to create specialized knowledge modules, unlike manual research and documentation.

Compared to similar skills

self-learning side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
self-learning (this skill)01moNo flagsIntermediate
firecrawl-scrape57moReviewBeginner
call-prep36moNo flagsBeginner
adaptyv77moCautionAdvanced

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