Volcengine AI Model Discovery for Openclaw

An intelligent routing tool that discovers Volcengine AI model capabilities and maps user requirements to the most effective endpoints.

cinience
v1.0.0
Feb 11, 2026
0
1.5k
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install volcengine-ai-misc-model-discovery

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 volcengine-ai-misc-model-discovery 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 Volcengine AI Model Discovery?

The Volcengine AI Model Discovery skill serves as a critical navigation layer for developers utilizing the Volcengine ecosystem. It automates the process of evaluating diverse large language models by matching specific user intents with model performance profiles. By integrating this into your workflow through Openclaw Skills, you can eliminate the manual overhead of tracking model updates and endpoint technicalities.

This skill is designed to optimize the balance between cost, speed, and output quality. It doesn't just list models; it actively analyzes constraints to provide a structured recommendation, ensuring that your AI agents operate with the most suitable intelligence available in the Volcengine catalog.

Volcengine AI Model Discovery Use Cases

  • Determining the most cost-effective model for high-volume text processing.
  • Selecting low-latency endpoints for real-time chat applications.
  • Creating model selection matrices for complex multi-agent systems.
  • Conducting automated capability checks for specific Volcengine model endpoints.
  • Establishing fallback strategies for robust AI service reliability.

How Volcengine AI Model Discovery Works

  1. The skill identifies the user's primary task type and specific constraints such as budget or latency requirements.
  2. It scans available Volcengine endpoints and filters them by necessary technical capabilities.
  3. Each candidate model is scored based on the provided intent and constraints.
  4. A primary recommendation is generated along with a secondary backup option.
  5. The skill outputs a detailed decision table and a code-ready invocation template for immediate implementation.

Volcengine AI Model Discovery Setup

To deploy this model discovery logic, ensure your environment is prepared for Openclaw Skills integration.

# Install the Openclaw CLI if not already present
npm install -g @openclaw/cli

# Initialize the Volcengine discovery skill
openclaw skill add volcengine-ai-misc-model-discovery

Configure your Volcengine access credentials in your environment:

export VOLC_ACCESS_KEY="your_access_key"
export VOLC_SECRET_KEY="your_secret_key"
export VOLC_REGION="your_preferred_region"

Volcengine AI Model Discovery Data Schema & Taxonomy

The skill organizes its model routing intelligence using the following schema:

Attribute Description
Task Type The categorized intent (e.g., classification, generation, analysis).
Candidate Endpoints A curated list of models capable of fulfilling the request.
Recommended Endpoint The optimal model identified by the scoring logic.
Tradeoffs A summary of quality vs. cost vs. latency for the recommended model.
Invocation Template A pre-formatted code snippet for calling the selected endpoint.

Volcengine AI Model Discovery Advanced Features

  • Dynamic scoring algorithms that weight cost versus performance based on real-time priorities.
  • Multi-endpoint fallback logic to ensure high availability for mission-critical Openclaw Skills.
  • Integration with internal documentation via reference mapping to sources.md.
  • Automated generation of selection matrices for architectural review.

SKILL.md


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