Poe API Orchestration for Openclaw

A sophisticated orchestration layer that enables OpenClaw to intelligently query and route tasks across 300+ AI models using the Poe API.

nwcalvin
v1.0.0
Mar 3, 2026
0
768
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install innotech-poe-api

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 innotech-poe-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 Poe API Orchestration?

The Poe API Orchestration skill provides a unified interface for OpenClaw to interact with a vast ecosystem of artificial intelligence models. Instead of being locked into a single provider, this skill allows for dynamic selection between Claude, GPT, Gemini, and specialized search or media models based on the specific requirements of a task. By utilizing these Openclaw Skills, developers can ensure their agents always use the most cost-effective and capable model available for any given objective.

This skill automates the complexity of model selection, handling everything from high-reasoning coding tasks to real-time web research and multimodal content generation. It functions as an intelligent router that balances quality, speed, and context window requirements, making it an essential component for building versatile and resilient AI agents.

Poe API Orchestration Use Cases

  • Routing complex programming and architecture queries to high-reasoning models like Claude-Opus.
  • Performing real-time web research with citations using Perplexity integration.
  • Generating multimodal assets including 4K images, cinematic video, and realistic speech.
  • Processing massive datasets or long-form documents using 1M+ token context windows.
  • Optimizing operational costs by automatically selecting lightweight models for simple string or text tasks.

How Poe API Orchestration Works

  1. The agent receives a request and identifies the task type, such as programming, data analysis, or image generation.
  2. The skill evaluates the request complexity and context size to determine the most suitable model family.
  3. A connection is established via the PoeClient to the Poe API infrastructure.
  4. The request is routed to the specific model (e.g., claude-sonnet-4.6 or gemini-3.1-pro) that matches the task requirements.
  5. The skill captures the model output, manages token limits, and returns a structured JSON response to the agent.

Poe API Orchestration Setup

To integrate this capability into your project, initialize the PoeClient from the provided scripts. Ensure you have reviewed the model selection guide to understand the strengths of different Openclaw Skills.

from skills.poe_api.scripts.poe_client import PoeClient

# Initialize the orchestration client
client = PoeClient()

# Execute a task with automatic model selection
result = client.query_for_task(
    task_type="programming",
    message="Write a robust error handler in Python"
)

Poe API Orchestration Data Schema & Taxonomy

The skill organizes its operations through a task-based taxonomy and structured response objects.

Attribute Type Description
task_type String Categories such as programming, ui_design, or web_search
model_id String The specific lowercase identifier for the Poe model
context_window Integer Token limits ranging from 192K to 1M+
success Boolean Status indicator for the API request
result String/Blob The generated content or asset metadata

Poe API Orchestration Advanced Features

  • Intelligent task-based routing that eliminates manual model configuration.
  • Support for over 300+ specialized AI models including deep research and coding experts.
  • Automated context window management for handling documents up to 1 million tokens.
  • Integrated cost optimization controls and call limits per task.
  • Native support for multimodal workflows including image, video, and audio generation.

SKILL.md


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