A high-performance Named Entity Recognition (NER) tool to extract structured data from unstructured text without managing multiple vendor accounts.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install entity-extraction
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 entity-extraction 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 Entity Extraction?
The Entity Extraction skill is a specialized tool designed to identify and categorize key information within text, such as people, organizations, locations, and dates. By utilizing the SkillBoss infrastructure, this skill provides a unified gateway to powerful Natural Language Processing (NLP) capabilities, making it an essential addition to your collection of Openclaw Skills. It simplifies the developer experience by removing the need for individual API keys for various AI providers, offering a streamlined pay-as-you-go model.
This skill is particularly effective for developers who need to transform messy, unstructured text into structured data formats without the overhead of building custom machine learning models or managing complex cloud infrastructure.
Entity Extraction Use Cases
- Automating data entry from raw documents into structured databases
- Analyzing customer feedback to identify mentioned brands, products, or competitors
- Pre-processing large datasets for automated knowledge base categorization
- Structuring unstructured communications like emails for CRM updates
- Real-time monitoring of social media or news feeds for specific geographic locations or entities
How Entity Extraction Works
- The user authenticates using a single SkillBoss API key configured in their environment.
- Unstructured text is sent to the skill endpoint via a standardized API request.
- The underlying AI model parses the text to identify specific entity types based on linguistic context.
- The skill returns a structured JSON payload containing the extracted entities and their corresponding classifications.
Entity Extraction Setup
- Obtain your API key by visiting the SkillBoss Console.
- Set your environment variable to enable authentication:
export SKILLBOSS_API_KEY='your_api_key_here'
- Verify the installation by running a test extraction via curl:
curl https://api.heybossai.com/v1/run \
-H "Authorization: Bearer $SKILLBOSS_API_KEY" \
-d '{"model": "entity-extraction", "input": {"prompt": "John Doe from Google visited London yesterday."}}'
Entity Extraction Data Schema & Taxonomy
The skill utilizes a clean input/output schema designed for seamless integration into larger Openclaw Skills pipelines.
| Attribute | Type | Description |
|---|---|---|
model |
string | The identifier for the extraction model (set to entity-extraction) |
input.prompt |
string | The raw, unstructured text content to be analyzed |
output.entities |
array | A collection of identified entities including Name, Place, Organization, and Date |
Entity Extraction Advanced Features
- Unified API access providing over 100 AI services through one single authentication key
- Zero-subscription model with transparent pay-as-you-go pricing and $2 free starting credits
- High-speed processing optimized for real-time Named Entity Recognition applications
- Seamless compatibility with multi-agent orchestration and automation within the Openclaw Skills ecosystem
SKILL.md
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