A specialized integration that brings DeepSeek LLM capabilities to your agent environment for high-performance reasoning and coding tasks.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install deepseek
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 deepseek 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 Agent Skill?
The DeepSeek Agent Skill is designed to provide agents with a direct interface to the DeepSeek API. This integration allows Openclaw Skills to perform complex tasks such as chat completions, problem-solving, and strategic planning. By utilizing this skill, developers can incorporate state-of-the-art AI models into their automated pipelines, ensuring that every Openclaw Skills deployment has access to powerful coding and analysis tools.
This tool bridges the gap between raw LLM capabilities and actionable agent workflows, making it a vital part of any modern developer setup. Whether you are generating snippets or architecting complex systems, this skill ensures high-quality output through the specialized DeepSeek engine.
DeepSeek Agent Skill Use Cases
- Automated code generation and refactoring within agent tasks.
- Complex technical problem-solving and logic verification.
- Strategic planning and data-driven analysis for multi-step workflows.
- Enhanced chat interactions within the Openclaw Skills ecosystem.
How DeepSeek Agent Skill Works
- The agent triggers the DeepSeek skill during a reasoning or coding step within the Openclaw Skills framework.
- The skill authenticates with the DeepSeek API using the provided credentials.
- Contextual data and prompts are sent to the DeepSeek endpoint for processing.
- The resulting chat completion or code is returned to the agent for final output or execution.
DeepSeek Agent Skill Setup
To get started, you need to configure your environment variables for authentication. Use the following command to set your API key for this Openclaw Skills component:
export DEEPSEEK_API_KEY="your_api_key_here"
Ensure that the variable is accessible to your agent runner environment.
DeepSeek Agent Skill Data Schema & Taxonomy
The skill manages its configuration through environment variables and standardizes API responses for consumption by other Openclaw Skills.
| Attribute | Type | Description |
|---|---|---|
| DEEPSEEK_API_KEY | String | The secure key required to authenticate with the DeepSeek service. |
| Endpoint | URL | The specific API endpoint used for chat completions (configurable). |
| Response Format | JSON | The structured data returned by the API, containing text or code blocks. |
DeepSeek Agent Skill Advanced Features
- Support for configurable API endpoints for custom model hosting or regional access.
- High-fidelity code generation specifically tuned for various programming languages.
- Seamless integration with complex Openclaw Skills multi-agent workflows for distributed reasoning.
- Robust error handling and configurable retry logic for stable API communication.
SKILL.md
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