Agent skill · AI & Agents

orchestrator

Unified Agent Teams orchestrator for Diverga v12.0.0. Manages Agent Teams creation, VS Arena debate, and subagent dispatch. Single entry point for all parallel/debate workflows. Replaces research-orchestrator and vs-arena skills. competing, collaborate, VS Arena

brycew6m4,252★ · +31/wk · 3 repos on radarProfile →
claude-codeNOASSERTION
Install
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill orchestrator --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 9 KB
Bundled scripts: none
Version: 12.0.1
Path: skills/25-HosungYou-Diverga/skills/orchestrator/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 3,244
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Diverga Orchestrator ## Role Execution layer (HOW). Receives agent IDs, decides execution strategy, manages lifecycle. Does NOT handle: - Paradigm detection (research-coordinator) - Checkpoint enforcement (research-coordinator) - Agent selection logic (research-coordinator) No circular dependency: coordinator calls orchestrator, never reverse. Orchestrator receives agent IDs and executes; it doe

More from Auto-Empirical-Research-Skills
All skills →
About this skill
What does the orchestrator skill do?

Unified Agent Teams orchestrator for Diverga v12.0.0. Manages Agent Teams creation, VS Arena debate, and subagent dispatch. Single entry point for all parallel/debate workflows. Replaces research-orchestrator and vs-arena skills. competing, collaborate, VS Arena

How do I install it?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill orchestrator --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going