Expanso Language Detect

What This Skill Does

The Expanso Language Detect skill provides a robust, AI-powered solution for identifying the language of any given text input. Developed by aronchick, this utility leverages the power of the Expanso Edge ecosystem to perform rapid, high-accuracy language classification. Whether you are dealing with multilingual datasets, building automated content pipelines, or simply need to sort global communications, this skill integrates seamlessly into your OpenClaw agent workflow. By utilizing specialized AI models deployed via Expanso, the skill ensures that language detection is both efficient and consistent across various input types, from short social media snippets to long-form technical documentation.

Installation

To begin using Expanso Language Detect, ensure you have the expanso-edge binary installed and available in your system PATH. Once your environment is configured, you can install the skill directly through the OpenClaw hub by running the command: clawhub install openclaw/skills/skills/aronchick/expanso-language-detect. This process will pull the necessary dependencies and configuration files, including the skill.yaml metadata, pipeline-cli.yaml for command-line operations, and pipeline-mcp.yaml for Model Context Protocol integration. Once installed, the skill is immediately available to be called by your AI agent.

Use Cases

This skill is indispensable for global organizations and developers managing multilingual content. Common use cases include: 1. Automated Customer Support Routing: Automatically tagging tickets based on language to ensure they reach the appropriate support team. 2. Content Aggregation: Filtering or organizing incoming news feeds by their primary language to improve relevance. 3. Application Localization: Dynamically detecting the user's preferred language to trigger specific UI or locale-based services. 4. Data Pre-processing: Sanitizing or sorting raw text data before training downstream models to prevent language contamination in datasets.

Example Prompts

1. "Analyze the following text and detect its language: 'Bonjour, comment allez-vous aujourd'hui?'"
2. "I have a list of feedback comments. Use the Expanso Language Detect skill to identify the language for each one and group them accordingly."
3. "Is this product review written in English, Spanish, or German? Please verify using the language detection skill."

Tips & Limitations

For the best results, ensure your input text contains enough context; extremely short phrases (e.g., single words or emojis) may be ambiguous for any AI language detector. When integrating into large-scale production pipelines, utilize the MCP mode (pipeline-mcp.yaml) to maintain persistent server state, which can significantly reduce latency compared to repeated command-line execution. Always ensure that the expanso-edge binary is updated to the latest version to take advantage of the most recent model improvements and security patches provided by the author.