DeepSeek Chat for Openclaw

A cost-effective integration for the DeepSeek API providing general chat, coding, and advanced reasoning capabilities.

bseye520
v1.0.0
Mar 8, 2026
0
1.8k
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install deepseek-chat

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 deepseek-chat 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 DeepSeek Chat?

The DeepSeek Chat skill provides a streamlined interface to the DeepSeek official API, offering one of the most cost-effective Large Language Model (LLM) solutions available today. As part of the Openclaw Skills ecosystem, it enables developers to leverage high-performance models for natural language processing, complex code generation, and deep reasoning tasks.

This integration supports various models including deepseek-chat and the R1 reasoner, making it a versatile choice for global applications with a specific edge in Chinese language comprehension and technical accuracy. By utilizing this skill, developers can access state-of-the-art AI capabilities at a fraction of the cost of other major providers.

DeepSeek Chat Use Cases

  • Building budget-friendly AI assistants using Openclaw Skills.
  • Generating and debugging source code with the specialized deepseek-coder model.
  • Executing complex logical tasks requiring the deepseek-reasoner R1 model.
  • Implementing multilingual support with a focus on high-quality Chinese output.

How DeepSeek Chat Works

  1. Initialize the environment with a valid DeepSeek API key obtained from their official platform.
  2. Select the target model (chat, coder, or reasoner) based on the specific task requirements.
  3. Send text prompts or files to the DeepSeek API through the provided script interface.
  4. Receive low-latency, high-precision responses processed by DeepSeek's optimized infrastructure.

DeepSeek Chat Setup

First, ensure you have curl installed on your system. Set up the environment variable by adding your API key:

export DEEPSEEK_API_KEY=sk-your-key-here

To execute a chat command via the Openclaw Skills framework, use the following command:

node scripts/chat.js "Your message here"

DeepSeek Chat Data Schema & Taxonomy

The skill utilizes standard API request/response patterns for interaction and organizes configuration through environment variables.

Attribute Description
Model Selection Choose between deepseek-chat, deepseek-coder, or deepseek-reasoner
Authentication Managed via the DEEPSEEK_API_KEY environment variable
Dependencies Requires curl for low-level API communication
Output Markdown-compatible text responses

DeepSeek Chat Advanced Features

  • Deep Reasoning Support: Access the R1 reasoner for complex problem-solving scenarios.
  • High-Efficiency Coding: Leverage specialized coder models for better syntax and logic in software development.
  • Extreme Cost Optimization: Benefit from pricing as low as ¥0.27 per million tokens when using Openclaw Skills.
  • Multilingual Processing: Superior performance in both English and Chinese contexts for global reach.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Github Stars: 0
forks: 0

Featured*