orchestration

Coordinate task execution across multiple AI providers with routing and fallback chains.

8|1|Updated Jul 11, 2025

Search Tags:#routing #delegation #orchestration #parallel #fallback #multi-provider

Ready to run

npx skills add https://github.com/Consiliency/treesitter-chunker --skill orchestration-consiliency

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: orchestration
Source: https://github.com/Consiliency/treesitter-chunker/tree/main/.ai-dev-kit/skills/orchestration
Command: npx skills add https://github.com/Consiliency/treesitter-chunker --skill orchestration-consiliency

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill coordinates task execution across multiple AI providers and execution environments, enabling consistent delegation, routing, and result aggregation.

Core Features & Use Cases

Multi-provider orchestration: Route tasks to OpenAI Codex, Google Gemini, Cursor, and other agents as needed.
Parallel execution & fallback: Launch multiple providers in parallel and fallback to alternatives on failure.
Provider routing patterns: Centralized decision logic for selecting the most appropriate provider based on task characteristics.

Quick Start

Use the orchestration skill to route a coding task to the best provider, or to run parallel agents and consolidate their results. Example: Task: "Delegate a sandboxed code review to Codex and a fast-check to Gemini, then merge findings."

Frequently Asked Questions about orchestration

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

FAQPage Schema

How do I route tasks across multiple AI providers?▼

Routing tasks across multiple AI providers involves using centralized decision logic to select the appropriate provider based on task characteristics, then delegating execution. This skill coordinates that routing, allowing you to direct coding tasks to OpenAI Codex, Google Gemini, or other agents and consolidate their results into a single output.

Can I run multiple providers in parallel and fall back if one fails?▼

Parallel execution with fallback chains lets you launch multiple providers simultaneously and automatically switch to alternatives when one fails. This skill enables that pattern, ensuring task completion even when a primary provider is unavailable or underperforms.

What's the best way to aggregate results from different AI agents?▼

Aggregating results from heterogeneous agents requires clean result collection with consistent formatting across providers. This skill provides patterns for native-invoke delegation and result merging, so you get unified output from parallel or sequential agent runs without manual consolidation.

How do I set up delegation between execution environments?▼

Delegation between execution environments means routing a task from one agent or sandbox to another and retrieving the result. This skill handles non-interactive orchestration across environments, enabling seamless handoffs without manual intervention or result parsing.

Can I use orchestration with different types of AI providers?▼

Orchestration works across heterogeneous AI providers and execution environments, not just a single vendor. This skill applies to multi-provider scenarios where you need consistent coordination logic regardless of whether providers are cloud-based, sandboxed, or specialized agents.

When should I use provider selection logic instead of a single fixed provider?▼

Provider selection logic matters when different tasks have different performance or capability requirements. Use it when you need to route code reviews to one provider, fast validation checks to another, and need automated decision-making rather than manual provider assignment for each task.