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openrouter-aider-orchestration

Coordinates AirSim and ROS for realistic drone and vehicle simulations.

Updated Jan 23, 2026
Search Tags:#orchestration#multi-model#OpenRouter#large-files#model-routing#Aider#JSON-cleaning
One-click install
npx skills add https://github.com/strataga/claude-skill-inception --skill openrouter-aider-orchestration
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: openrouter-aider-orchestration
Source: https://github.com/strataga/claude-skill-inception/tree/main/openrouter-aider-orchestration
Command: npx skills add https://github.com/strataga/claude-skill-inception --skill openrouter-aider-orchestration

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill orchestrates multi-model AI systems using OpenRouter with Aider to streamline model routing, input handling, and output parsing across complex workflows.

Core Features & Use Cases

  • OpenRouter + Aider orchestration for multi-model systems, enabling reliable routing and coordination.
  • Handles model naming conventions, large file handling with --read, and robust JSON parsing.
  • Use Case: Deploy a system that routes inputs to multiple models, processes large documents efficiently, and returns structured JSON for downstream automation.

Quick Start

Run the agent with an OpenRouter model and Aider to extract tasks from a PRD file as JSON. aider
--model openrouter/deepseek/deepseek-chat
--openai-api-key "$OPENROUTER_API_KEY"
--openai-api-base "https://openrouter.ai/api/v1"
--read large_spec.md
--message "Extract tasks from the PRD as JSON"
--yes-always

Frequently Asked Questions about openrouter-aider-orchestration

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I orchestrate multi-model AI workflows with Aider and OpenRouter?▼

Multi-model AI orchestration with Aider and OpenRouter is achieved by configuring the OpenRouter API base and routing inputs to chosen models using specific naming conventions for reliable coordination. This enables automated, structured workflows.

How do I process large files for AI tasks without exceeding model context limits?▼

Processing large files in Aider is handled using the --read flag, which allows the system to ingest extensive documents like PRDs efficiently. This ensures large inputs are parsed correctly without exceeding model context limits.

How can I get structured JSON output from Aider for downstream automation?▼

Structured JSON output from Aider is obtained by prompting the model to extract data as JSON and applying robust JSON cleanup techniques. This ensures the returned data is valid and ready for automated downstream pipelines.

Do I need specialized installation to route models using OpenRouter?▼

Routing models with OpenRouter requires no specialized installation beyond standard tooling like Aider and an OpenRouter API key. You simply configure the API base URL to start coordinating multiple models immediately.

What is the best way to coordinate multiple AI models for complex document processing?▼

The best way to coordinate multiple AI models for document processing is using an orchestration layer that handles model routing and large file ingestion. This approach streamlines parsing and ensures structured JSON output.

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