A powerful NLP integration for Openclaw Skills that enables automated text analysis, sentiment tracking, and entity recognition through the Membrane framework.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install codeq-natural-language-processing-api
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install codeq-natural-language-processing-api 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 Codeq Natural Language Processing API?
The Codeq Natural Language Processing API skill is a robust integration designed for developers who need to implement sophisticated human language understanding into their AI agent workflows. By leveraging Openclaw Skills, this tool provides a seamless bridge to Codeq's processing engine, allowing for the extraction of meaning, tone, and structured data from unstructured text.
Built on the Membrane framework, this skill eliminates the complexity of manual authentication and credential management. It provides a standardized interface for both single-document analysis and high-throughput batch processing, making it an essential asset for building intelligent, context-aware applications that require deep linguistic insights.
Codeq Natural Language Processing API Use Cases
- Automating sentiment analysis for customer feedback and support tickets.
- Extracting key phrases and named entities from large document sets for research.
- Summarizing long-form content to generate quick insights for AI agents.
- Analyzing syntax and document structure to improve data categorization.
- Processing high-volume text data using batch analysis for efficient resource management.
How Codeq Natural Language Processing API Works
- The user initializes the skill via the Membrane CLI, authenticating their environment with Openclaw Skills.
- A secure connection is established to the Codeq Natural Language Processing API, with Membrane handling all server-side credential management.
- The AI agent searches for specific NLP actions (e.g., sentiment analysis or entity extraction) based on natural language intent.
- Text data is sent to the Codeq API through pre-built actions or proxied requests, ensuring all headers and security tokens are correctly injected.
- The skill returns structured JSON data containing the requested linguistic analysis, which the agent can then use to inform its next steps.
Codeq Natural Language Processing API Setup
To get started with this skill, install the Membrane CLI and authenticate your environment:
npm install -g @membranehq/cli@latest
membrane login --tenant --clientName=openclaw
Create a connection to the Codeq API:
membrane connection ensure "https://api.codeq.com/index" --json
Verify the connection state is READY before proceeding to run actions.
Codeq Natural Language Processing API Data Schema & Taxonomy
The skill organizes NLP data into distinct analysis types. Results are returned as structured JSON objects following this taxonomy:
| Data Type | Description | Key Metadata |
|---|---|---|
| Entities | Named entity recognition | Category, Text, Confidence Score |
| Key Phrases | Significant terms in text | Phrase String, Importance Rank |
| Sentiment | Emotional tone analysis | Label (Positive/Negative/Neutral), Score |
| Syntax | Grammatical structure | Part of Speech, Dependency Tags |
| Batch Results | Multi-document outputs | Request ID, Aggregate Statistics |
Codeq Natural Language Processing API Advanced Features
- Batch Analysis: Process multiple documents in a single call to optimize performance and reduce latency.
- Automated Credential Refresh: Seamlessly maintains API access without manual token rotation or user intervention.
- Intent-Based Discovery: Use natural language to find the most relevant NLP actions within the CLI.
- Proxy Request Layer: Direct access to the Codeq API for custom endpoints while maintaining Membrane's secure auth wrapping.
- Multi-Agent Support: Specifically tuned to work with Openclaw Skills and other leading AI agent protocols.
SKILL.md
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