tool-orchestration

Research-backed patterns inspired by NVIDIA ToolOrchestra, OpenAI Agents SDK, and multi-agent coordination research.

Skills
AI research
0

What it does and how to use it

A skill that teaches Claude Code to do ai research tasks well. It is packaged knowledge the model uses whenever it is relevant.

Install the skill (command above).
In Claude Code, describe what you need - the skill turns on by itself when the context fits.
No commands to memorize: you talk in plain language and the skill does the rest.

Install (Claude Code)

mkdir -p .claude/skills/tool-orchestration && curl -fsSL https://doutorai.pt/data/lib/skills__tool-orchestration.md -o .claude/skills/tool-orchestration/SKILL.md

Paste this command into the terminal, in your project folder, and the component installs automatically.

Content

# Tool Orchestration Patterns Reference

Research-backed patterns inspired by NVIDIA ToolOrchestra, OpenAI Agents SDK, and multi-agent coordination research.

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## Overview

Effective tool orchestration requires four key innovations:
1. **Tracing Spans** - Hierarchical event tracking (OpenAI SDK pattern)
2. **Efficiency Metrics** - Track computational cost per task
3. **Reward Signals** - Outcome, efficiency, and preference rewards for learning
4. **Dynamic Selection** - Adapt agent count and types based on task complexity

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## Tracing Spans Architecture (OpenAI SDK Pattern)

### Span T

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