Eudic OpenAPI Language Assistant for Openclaw

A comprehensive interface for managing multilingual vocabulary, study lists, and personal language notes across Eudic, Frdic, Dehelper, and Eshelper.

lulu-trans
v1.0.1
Apr 10, 2026
0
971
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install eudic-openapi-skills

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install eudic-openapi-skills using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Eudic OpenAPI Language Assistant?

This skill provides seamless integration with the Eudic (欧路词典) OpenAPI, supporting its suite of language assistants for French, German, and Spanish. It allows AI agents to programmatically interact with a user's language learning data, including study lists, custom corpora, and personal annotations. By utilizing Openclaw Skills, developers can build workflows that automate the organization of new vocabulary and synchronize learning progress across different platforms.

The skill covers the entire lifecycle of language data management, from simple word lookups to complex batch operations on study categories. It serves as a bridge between high-level language learning goals and the technical infrastructure of the Eudic ecosystem, making it an essential component for users of Openclaw Skills who want to enhance their linguistic productivity.

Eudic OpenAPI Language Assistant Use Cases

  • Synchronizing and viewing multilingual vocabulary books and study categories.
  • Automatically adding new words discovered during browsing to specific study lists.
  • Querying detailed definitions and context-rich linguistic corpora for specific words.
  • Managing and retrieving personal study notes and historical annotations.
  • Filtering user-generated language data based on recent activity or favorites.

How Eudic OpenAPI Language Assistant Works

  1. The AI agent receives a natural language request related to dictionary management or study tracking.
  2. The system identifies the specific language context (English, French, German, or Spanish) to select the correct API parameter.
  3. The skill authenticates with the Eudic server using the NIS token provided in the configuration.
  4. It performs the requested operation, such as fetching a study list or updating a word entry, via the Openclaw Skills interface.
  5. The API response is parsed and presented to the user, ensuring data consistency across the Eudic platform.

Eudic OpenAPI Language Assistant Setup

To get started with this skill in the Openclaw Skills environment, you need to configure your authentication.

  1. Visit https://my.eudic.net/OpenAPI/Authorization to obtain your API Token.
  2. Use the token in your headers with the format NIS {token}.
  3. Ensure you specify the correct language code: en (English), fr (French), de (German), or es (Spanish).
# Test your connection by fetching study categories
curl -s "https://api.frdic.com/api/open/v1/studylist/category?language=en" \
  -H "Authorization: NIS {Your_Token}"

Eudic OpenAPI Language Assistant Data Schema & Taxonomy

The skill manages data through several key entities summarized in the table below:

Data Type Key Metadata Fields
Study List id, language, name, add_time
Vocabulary Entry word, phonetic (phon), explanation (exp), star rating, context_line
Personal Notes word, note content, language, add_time
User Corpus word, rating, context examples, favorited status

All data is organized by language code and category ID to ensure precise management within Openclaw Skills.

Eudic OpenAPI Language Assistant Advanced Features

  • Batch Word Operations: Add or query multiple vocabulary entries in a single request for high-efficiency learning.
  • Temporal Filtering: Retrieve user corpus entries based on a specific number of recent days.
  • Contextual Metadata: Store and retrieve specific sentences (context_line) alongside words to improve retention.
  • Multi-App Core: Single API structure that controls Eudic, Frdic, Dehelper, and Eshelper simultaneously.
  • Rate-Limit Aware: Designed to work within the standard Eudic API traffic constraints for stable performance.

SKILL.md


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