Unified Agent Teams orchestrator for Diverga v12.0.0. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.

Custom licenceAuto-check passedAgent Workflows

Install Orchestrator

skills CLI
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill orchestrator -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills orchestrator --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/25-HosungYou-Diverga/skills/orchestrator .claude/skills/orchestrator && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
orchestrator
GitHub stars
4.5k
Token cost
~2.4k tokens
SKILL.md length
797 words
Files
1
Skills in repo
383
Repo updated
First seen
Licence
Custom licence

At a glance

Unified Agent Teams orchestrator for Diverga v12.0.0. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.

  • Works in 7 steps: Context Collection → Persona Selection → Team Creation → …
  • Tasks that involve Subagents
  • SKILL.md covers Role, Invocation, Prerequisite Handling and Decision Logic, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Orchestrator is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. 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. Triggers: orchestrator, agent team, create team, parallel agents, debate, competing, collaborate, VS Arena

Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows, covering Subagents. The repository describes itself as: 🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI…

When your agent uses it

  • Tasks that involve Subagents

Example prompts

  • “/orchestrator”

Requirements

  • Python 3

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Context Collection
  2. Persona Selection
  3. Team Creation
  4. Independent Research
  5. Cross-Critique
  6. Synthesis + Checkpoint
  7. Cleanup

What it can do on your machine

Read from SKILL.md and the folder at commit 9fa87d8. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are python).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Orchestrator loads about 2.4k tokens when it runs. Until then it costs about 87 tokens; SKILL.md has 797 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~87
When it runs · the whole SKILL.md, loaded when a task matches
~2.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 797 words (~2,410 tokens).

“Execution layer (HOW). Receives agent IDs, decides execution strategy, manages lifecycle.”

— opening of SKILL.md by brycewang-stanford, Custom licence
name
orchestrator
version
12.0.1

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/25-HosungYou-Diverga/skills/orchestrator of brycewang-stanford/Auto-Empirical-Research-Skills.

Open the folder on GitHubat commit 9fa87d8

Compare with similar skills

Orchestrator next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Orchestrator compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Orchestrator this skillbrycewang-stanford/Auto-Empirical-Research-Skills4.5k—~2.4kAutomated safety check: PassCustom licence
Claude Code Agent Developmentanthropics/claude-plugins-official38k7 repos~2.8kAutomated safety check: PassApache-2.0
Subagent Driven DevelopmentAsvarox/allkaraoke26137 repos~1.2kAutomated safety check: PassNone
Dispatching Parallel Agentsultralisp/ultralisp25840 repos~1.5kAutomated safety check: PassNone
Paseo Advisor Second Opiniongetpaseo/paseo20k1 repos~756Automated safety check: PassCustom licence
Task Observerrebelytics/one-skill-to-rule-them-all3.2k1 repos~12kAutomated safety check: PassCC-BY-4.0

Similar skills

  • Claude Code Agent Development

    anthropics/claude-plugins-official

    Official

    Explains how to write agents for Claude Code plugins: the markdown file with YAML frontmatter, trigger descriptions, model and color settings, and system prompt design.

    38k GitHub starsUsed in 7 repos~2.8k tokens
    Agent WorkflowsAuto-check passed
  • Subagent Driven Development

    Asvarox/allkaraoke

    A skill your agent uses when executing implementation plans with independent tasks in the current session

    261 GitHub starsUsed in 37 repos~1.2k tokens
    Agent WorkflowsAuto-check passed
  • Dispatching Parallel Agents

    ultralisp/ultralisp

    A skill your agent uses when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies

    258 GitHub starsUsed in 40 repos~1.5k tokens
    Agent WorkflowsAuto-check passed
  • Launches one separate agent through Paseo to give a second opinion on the current task, with a self-contained briefing and no permission to edit files.

    20k GitHub starsUsed in 1 repo~756 tokens
    Agent WorkflowsAuto-check passed
  • Task Observer

    rebelytics/one-skill-to-rule-them-all

    Monitors task execution for skill improvement opportunities.

    3.2k GitHub starsUsed in 1 repo~12k tokens
    Agent WorkflowsAuto-check passed
  • O2 Review Loop

    openobserve/openobserve

    Splits a change into planner, coder and independent reviewer roles: you confirm a spec, a subagent implements it, and a separate reviewer checks each round's local WIP commit.

    22k GitHub stars~3.7k tokensUpdated today
    Agent WorkflowsAuto-check passed

More from brycewang-stanford/Auto-Empirical-Research-Skills

All 383 skills in this repo
  • Aer Consistency

    brycewang-stanford/Auto-Empirical-Research-Skills

    A skill your agent uses when auditing a finished or near-finished AER, AER:Insights, or AEJ manuscript for internal consistency: headline numbers across abstract, introduction, results, and tables…

    4.5k GitHub starsUsed in 1 repo~2.6k tokens
    Auto-check passed
  • Latex Paper En

    brycewang-stanford/Auto-Empirical-Research-Skills

    English LaTeX academic paper assistant for existing .tex projects.

    4.5k GitHub starsUsed in 1 repo~2.2k tokens
    Auto-check passed
  • Bayesian Workflow

    brycewang-stanford/Auto-Empirical-Research-Skills

    Opinionated Bayesian modeling workflow with PyMC and ArviZ. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.

    4.5k GitHub stars~3.5k tokensUpdated 4 days ago
    Auto-check passed
  • Daily Paper Generator

    brycewang-stanford/Auto-Empirical-Research-Skills

    A skill your agent uses when the user asks to "generate daily paper", "search arXiv for EEG papers", "find EEG decoding papers", "review brain-computer interface papers", or wants to create paper…

    4.5k GitHub stars~2.2k tokensUpdated 4 days ago
    Auto-check passed
  • Five Questions

    brycewang-stanford/Auto-Empirical-Research-Skills

    Deeply analyze any empirical economics PDF using the five-question framework (五问框架): research question, identification strategy, core estimand, robustness logic, and scholarly contribution.

    4.5k GitHub stars~1.7k tokensUpdated 4 days ago
    Auto-check: notes
  • Kaggle Research

    brycewang-stanford/Auto-Empirical-Research-Skills

    A skill your agent uses when a research task needs reproducible Kaggle discovery, metadata inspection, bounded public-data downloads, competition or kernel discovery, model discovery, or an…

    4.5k GitHub stars~868 tokensUpdated 4 days ago
    Auto-check passed

Categories

Questions about Orchestrator

What does Orchestrator do?

Unified Agent Teams orchestrator for Diverga v12.0.0. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Orchestrator is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.0.

When should I use Orchestrator?

Orchestrator fits situations like: tasks that involve Subagents.

How do I install Orchestrator in Claude Code?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill orchestrator -a claude-code`. Or copy the skill folder (skills/25-HosungYou-Diverga/skills/orchestrator in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/orchestrator in your project. Claude Code loads it when a task matches its description.

How do I install Orchestrator in Codex?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill orchestrator -a codex`. Or copy the skill folder (skills/25-HosungYou-Diverga/skills/orchestrator in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/orchestrator in your project. Codex loads it when a task matches its description.

Can I use Orchestrator in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill orchestrator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/orchestrator, .gemini/skills/orchestrator, .github/skills/orchestrator and .opencode/skills/orchestrator in your project.

What does Orchestrator need to run?

SKILL.md names no scripts, command-line tools or credentials: Orchestrator is instructions for the agent only. Our summary lists: Python 3.

Does Orchestrator access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Orchestrator safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Orchestrator use?

Orchestrator has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Orchestrator use?

About 2.4k tokens (SKILL.md is roughly 9.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Orchestrator?

Skills that share tags, products or a category with Orchestrator: Claude Code Agent Development (anthropics/claude-plugins-official, 38k stars), Subagent Driven Development (Asvarox/allkaraoke, 261 stars), Dispatching Parallel Agents (ultralisp/ultralisp, 258 stars) and Paseo Advisor Second Opinion (getpaseo/paseo, 20k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Orchestrator?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Auto-Empirical-Research-Skills, which has 4,542 GitHub stars. The repository holds 383 skills in this directory. The repository was last updated on October 5, 2026.

Source: brycewang-stanford/Auto-Empirical-Research-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.