self-learning

name

self-learning

description

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.

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:

Navigate to <URL> and extract the main content including:
- Installation instructions
- Core concepts and API reference
- Code examples
Return the extracted content as markdown.
```text
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: Sources scraped: Saved to: .agent/skills//SKILL.md This skill will auto-trigger when working with .

---

## 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.