semvec/pypi-packages huggingface dataset:
skill-upd 0.1.1
Update Claude Code skills from GitHub to your project
Requires Python: >=3.10

# skill-upd

Update Claude Code skills from GitHub to your project.

```bash
uvx skill-upd <username>/<skill-name>
```

To fetch from upd.dev:

```bash
uvx skill-upd upd.dev/<username>/<skill-name>
```

See [agent-skills](https://upd.dev/skills/agent-skills-project) for full documentation.
agent-skills-upd 0.1.1
Update your Claude Code, Codex, OpenCode, Amp, ClawdBot skills
Requires Python: >=3.10

# agent-skills-upd

CLI tools to update Claude Code resources (skills, commands, and sub-agents) also Codex / OpenCode / Amp / ClawdBot skills with a single command.

## Installation

```bash
pip install agent-skills-upd
```

This gives you all three commands: `upd-skill`, `upd-command`, `upd-agent`.

See the [main README](https://upd.dev/skills/agent-skills-project) for full documentation.
upd-skill 0.1.1
CLI tool for updating Claude Code, Codex, OpenCode, Amp, Clawdbot agent skills.
Requires Python: >=3.10

# upd-skill

Update Claude Code skills from GitHub to your project.

```bash
uvx upd-skill <username>/<skill-name>
```

To fetch from upd.dev:

```bash
uvx upd-skill upd.dev/<username>/<skill-name>
```

See [agent-skills](https://upd.dev/skills/agent-skills-project) for full documentation.
create-agent-skill-repo 0.1.1
Create a personal agent-skills repository for Claude Code, Codex, OpenCode, Amp, Clawdbot and others.
Requires Python: >=3.10

# create-agent-skill-repo

Create a personal agent-skills repository for Claude Code.

```bash
uvx create-agent-skill-repo
```

With GitHub integration:

```bash
uvx create-agent-skill-repo --github
```

See [agent-skills](https://upd.dev/skills/agent-skills-project) for full documentation.
DocLM 1.0.1
An intelligent document analysis library for Python.
Requires Python: >=3.6

# DocLM - Intelligent Document Analysis

**DocLM** is a Python library that uses advanced AI to analyze any PDF document and generate comprehensive summary reports with smart analytics.

## Features

- **Multi-Format Support**: Analyze PDF, DOCX, TXT, and more.
- **Smart Summarization**: AI-powered summaries that capture the essence of your documents.
- **Detailed Analytics**: Get key insights and statistics from your content.
- **Google Colab Ready**: Seamlessly integrate with Google Colab for cloud-based analysis.

## How to Get Your API Token

1.  Run the backend server: `python app.py`.
2.  Open your browser to `http://127.0.0.1:5000`.
3.  Click "Get Started" and fill out the signup form.
4.  Your unique API token will be displayed and emailed to you.

## Installation

```bash
pip install DocLM
```

## Quick Start

```python
from DocLM import DocumentAnalyzer

# Initialize the analyzer with your token
analyzer = DocumentAnalyzer(api_token="your_token_here")

# Analyze any PDF document
# Make sure you have a file named 'document.pdf' in the same directory
try:
    report = analyzer.analyze("document.pdf")

    # Get the smart analytics report
    print("Summary:")
    print(report.summary)
    print("\nKey Insights:")
    for insight in report.key_insights:
        print(f"- {insight}")

except FileNotFoundError:
    print("Error: 'document.pdf' not found. Please create a sample PDF to analyze.")
except Exception as e:
    print(f"An error occurred: {e}")
```