open-index/open-npm huggingface dataset:
npm package: @jchazal/dynamic-import-lib
Description: Everything you need to build a Svelte library, powered by [`create-svelte`](https://github.com/sveltejs/kit/tree/main/packages/create-svelte).
Latest version: 0.0.32

# create-svelte

Everything you need to build a Svelte library, powered by [`create-svelte`](https://github.com/sveltejs/kit/tree/main/packages/create-svelte).

Read more about creating a library [in the docs](https://svelte.dev/docs/kit/packaging).

## Creating a project

If you're seeing this, you've probably already done this step. Congrats!

```bash
# create a new project in the current directory
npx sv create

# create a new project in my-app
npx sv create my-app
```

## Developing

Once you've created a project and installed dependencies with `npm install` (or `pnpm install` or `yarn`), start a development server:

```bash
npm run dev

# or start the server and open the app in a new browser tab
npm run dev -- --open
```

Everything inside `src/lib` is part of your library, everything inside `src/routes` can be used as a showcase or preview app.

## Building

To build your library:

```bash
npm run package
```

To create a production version of your showcase app:

```bash
npm run build
```

You can preview the production build with `npm run preview`.

> To deploy your app, you may need to install an [adapter](https://svelte.dev/docs/kit/adapters) for your target environment.

## Publishing

Go into the `package.json` and give your package the desired name through the `"name"` option. Also consider adding a `"license"` field and point it to a `LICENSE` file which you can create from a template (one popular option is the [MIT license](https://opensource.org/license/mit/)).

To publish your library to [npm](https://www.npmjs.com):

```bash
npm publish
```
npm package: @jcheesepkg/summarize
Description: Lightweight summarizer for YouTube videos and URLs using GLM.
Latest version: 1.0.5

# glm-summarize

Lightweight summarizer for YouTube videos and URLs using GLM.

## Install

```bash
cd /Users/jc/Desktop/playground/glm-summarize
npm install
npm run build
npm link
```

## Required env vars

```bash
export APIFY_API_TOKEN=...
export Z_AI_BASE_URL=...
export Z_AI_API_KEY=...
```

## Usage

```bash
# YouTube
glm-summarize "https://www.youtube.com/watch?v=fYO8JoXzMWw" --language ja --length medium

# URL
glm-summarize "https://example.com/article" --language en --length long

# Force summary even if content is short
glm-summarize "https://..." --force

# Skip cache
glm-summarize "https://..." --no-cache
```

## Options

| Flag | Default | Description |
|------|---------|-------------|
| `--model` | `zai/glm-5` | Model to use |
| `--language` | `auto` | Output language (`en`, `ja`, `zh`, etc.) |
| `--length` | `medium` | `short`\|`medium`\|`long`\|`xl` or char count |
| `--timeout` | `120000` | Timeout in ms |
| `--no-cache` | - | Disable extraction cache |
| `--force` | - | Force summary even if content is short |

## Features

- **Smart default**: Returns content as-is if shorter than target length
- **7-day cache**: Extracted content cached in `~/.glm-summarize/cache/`
- **Retry logic**: Auto-retry on failure (1 retry by default)
- **Structured output**: Summary + key points + notable quotes
- **Timing metrics**: Shows extraction and summarization time