hierarchical-agents-quickstart
This guide explains the new meta-orchestrator agents and their operational usage.
$ npx -y skills add github/gh-aw --agent claude-codeHow it fires
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- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
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Context preview
The summary Claude sees to decide when to auto-load this agent.
This guide explains the new meta-orchestrator agents and their operational usage.
Agent definition
hierarchical-agents-quickstart.mdQuick Start: Hierarchical Agents
This guide explains the new meta-orchestrator agents and their operational usage.
What Are Meta-Orchestrators?
Meta-orchestrators are specialized workflows that oversee and coordinate other agents in the repository. They provide status tracking and coordination across multiple workflows.
The Three Meta-Orchestrators
1. Campaign Manager
**What it does:** Manages campaign portfolio status and coordination
**When it runs:** Daily
**What you'll see:**
- Strategic discussion reports with campaign health dashboard
- Issues flagged for campaigns needing attention
- Priority adjustments on campaign project boards
- Coordination notes between related campaigns
**Example outputs:**
# Campaign Portfolio Report - 2025-12-20
## Executive Summary
- 2 active campaigns (1 high-priority, 1 medium-priority)
- Overall completion: 45%
- Campaigns on track: 1 | Behind schedule: 1
## Campaigns Needing Attention
- Security Q1 (55/100) - Stalled, no progress in 7 days
Issue #123 created with recommendations
**When to check it:**
- Weekly during planning meetings
- When starting new campaigns
- When campaigns seem to conflict
2. Workflow Health Manager
**What it does:** Monitors workflow health and execution status for failures and performance issues
**When it runs:** Daily
**What you'll see:**
- Health dashboard issue (pinned) showing workflow status
- Issues created for failing workflows
- Comments on existing workflow issues with updates
- Systemic issue reports affecting multiple workflows
**Example outputs:**
# Workflow Health Dashboard - 2025-12-20
## Critical Issues
- daily-file-diet: Failing (8/10 runs failed)
Error: Permission denied accessing GitHub API
Issue #456 created
## Warnings
- ci-coach: Compilation warnings
Issue #457 created with migration guide
**When to check it:**
- Daily for critical issues (P0/P1)
- Before making workflow changes
- When investigating workflow failures
3. Agent Performance Analyzer
**What it does:** Evaluates agent output quality and effectiveness
**When it runs:** Daily
**What you'll see:**
- Performance report discussion with agent rankings
- Improvement issues for underperforming agents
- Quality trend reports
- Behavioral pattern analysis
**Example outputs:**
# Agent Performance Report - Week of 2025-12-20
## Top Performers
1. Campaign Manager (95/100) - High quality, good effectiveness
2. CI Coach (90/100) - Clear outputs, high merge rate
## Needs Improvement
1. Workflow X (45/100)
Issues: Incomplete outputs, high PR rejection rate
Recommendations: Refine prompt, add quality checks
Issue #789 created
**When to check it:**
- Daily during agent reviews
- When evaluating agent effectiveness
- Before creating new agents (learn from patterns)
How They Coordinate
Shared Memory System
All three meta-orchestrators share a common repository memory at `memory/meta-orchestrators/` where they exchange insights and coordinate actions.
graph TD
A[Meta-Orchestrators] --> B[Campaign Manager]
A --> C[Workflow Health Manager]
A --> D[Agent Performance Analyzer]
B --> E[Shared Memory]
C --> E
D --> E
E --> F[memory/meta-orchestrators/]
F --> G[Run Summaries]
F --> H[Cross-cutting Alerts]
F --> I[Historical Trends]
F --> J[Action Items]
G --> K[Coordinated Actions]
H --> K
I --> K
J --> K**What's shared:**
- Latest run summaries from each orchestrator
- Cross-cutting alerts and coordination notes
- Historical trends and patterns
- Action items requiring multi-orchestrator attention
**How it helps:**
- **Avoid duplicates:** Campaign Manager won't create an issue if Workflow Health Manager already did
- **Better context:** Agent Performance Analyzer can see if a low-quality agent is in a failing workflow
- **Coordinated fixes:** All three can work together on systemic issues
- **Trend tracking:** Historical data enables pattern recognition across runs
**Example coordination:** 1. Workflow Health Manager detects that `daily-metrics` workflow is failing (80% failure rate) 2. Campaign Manager sees this and notes that "Metrics Campaign" relies on this workflow 3. Agent Performance Analyzer identifies the agent has quality issues in this workflow 4. Result: Single coordinated issue created referencing all three perspectives
**You don't need to do anything** - the coordination happens automatically through shared memory.
Quick Actions
As a Repository Maintainer
**Daily:** 1. Check Workflow Health Dashboard pinned issue for critical issues 2. Address P0/P1 issues immediately 3. Review Campaign Manager report if campaigns are active 4. Review Agent Performance Report discussion
**Weekly:** 1. Review and prioritize improvement issues 2. Update agent prompts based on recommendations
**Monthly:** 1. Review trends across all three reports 2. Adjust meta-orchestrator schedules if needed 3. Refine meta-orchestrator prompts based on learnings
As a Workflow Author
**When creating a workflow:** 1. Check Agent Performance report for best practices 2. Review similar high-performing workflows 3. Avoid patterns flagged in health reports
**When your workflow has issues:** 1. Check if Workflow Health Manager created an issue 2. Follow recommendations in the issue 3. Comment on the issue when fixed so it gets closed
As a Campaign Owner
**When starting a campaign:** 1. Check Campaign Manager for potential conflicts 2. Review coordination notes with related campaigns 3. Set up project board properly
**During campaign:** 1. Monitor your campaign's health score 2. Address flagged issues promptly 3. Coordinate with other campaigns as suggested
Understanding Reports
Health Scores
Scores are 0-100, calculated as:
- **80-100:** Healthy - No action needed
- **60-79:** Warning - Monitor closely
- **40-59:** Needs Attention - Address soon
- **0-39:** Cr
Read more
Quick Start: Hierarchical Agents
This guide explains the new meta-orchestrator agents and their operational usage.
What Are Meta-Orchestrators?
Meta-orchestrators are specialized workflows that oversee and coordinate other agents in the repository. They provide status tracking and coordination across multiple workflows.
The Three Meta-Orchestrators
1. Campaign Manager
**What it does:** Manages campaign portfolio status and coordination
**When it runs:** Daily
**What you'll see:**
- Strategic discussion reports with campaign health dashboard
- Issues flagged for campaigns needing attention
- Priority adjustments on campaign project boards
- Coordination notes between related campaigns
**Example outputs:**
# Campaign Portfolio Report - 2025-12-20 ## Executive Summary - 2 active campaigns (1 high-priority, 1 medium-priority) - Overall completion: 45% - Campaigns on track: 1 | Behind schedule: 1 ## Campaigns Needing Attention - Security Q1 (55/100) - Stalled, no progress in 7 days Issue #123 created with recommendations
**When to check it:**
- Weekly during planning meetings
- When starting new campaigns
- When campaigns seem to conflict
2. Workflow Health Manager
**What it does:** Monitors workflow health and execution status for failures and performance issues
**When it runs:** Daily
**What you'll see:**
- Health dashboard issue (pinned) showing workflow status
- Issues created for failing workflows
- Comments on existing workflow issues with updates
- Systemic issue reports affecting multiple workflows
**Example outputs:**
# Workflow Health Dashboard - 2025-12-20 ## Critical Issues - daily-file-diet: Failing (8/10 runs failed) Error: Permission denied accessing GitHub API Issue #456 created ## Warnings - ci-coach: Compilation warnings Issue #457 created with migration guide
**When to check it:**
- Daily for critical issues (P0/P1)
- Before making workflow changes
- When investigating workflow failures
3. Agent Performance Analyzer
**What it does:** Evaluates agent output quality and effectiveness
**When it runs:** Daily
**What you'll see:**
- Performance report discussion with agent rankings
- Improvement issues for underperforming agents
- Quality trend reports
- Behavioral pattern analysis
**Example outputs:**
# Agent Performance Report - Week of 2025-12-20 ## Top Performers 1. Campaign Manager (95/100) - High quality, good effectiveness 2. CI Coach (90/100) - Clear outputs, high merge rate ## Needs Improvement 1. Workflow X (45/100) Issues: Incomplete outputs, high PR rejection rate Recommendations: Refine prompt, add quality checks Issue #789 created
**When to check it:**
- Daily during agent reviews
- When evaluating agent effectiveness
- Before creating new agents (learn from patterns)
How They Coordinate
Shared Memory System
All three meta-orchestrators share a common repository memory at `memory/meta-orchestrators/` where they exchange insights and coordinate actions.
graph TD
A[Meta-Orchestrators] --> B[Campaign Manager]
A --> C[Workflow Health Manager]
A --> D[Agent Performance Analyzer]
B --> E[Shared Memory]
C --> E
D --> E
E --> F[memory/meta-orchestrators/]
F --> G[Run Summaries]
F --> H[Cross-cutting Alerts]
F --> I[Historical Trends]
F --> J[Action Items]
G --> K[Coordinated Actions]
H --> K
I --> K
J --> K**What's shared:**
- Latest run summaries from each orchestrator
- Cross-cutting alerts and coordination notes
- Historical trends and patterns
- Action items requiring multi-orchestrator attention
**How it helps:**
- **Avoid duplicates:** Campaign Manager won't create an issue if Workflow Health Manager already did
- **Better context:** Agent Performance Analyzer can see if a low-quality agent is in a failing workflow
- **Coordinated fixes:** All three can work together on systemic issues
- **Trend tracking:** Historical data enables pattern recognition across runs
**Example coordination:** 1. Workflow Health Manager detects that `daily-metrics` workflow is failing (80% failure rate) 2. Campaign Manager sees this and notes that "Metrics Campaign" relies on this workflow 3. Agent Performance Analyzer identifies the agent has quality issues in this workflow 4. Result: Single coordinated issue created referencing all three perspectives
**You don't need to do anything** - the coordination happens automatically through shared memory.
Quick Actions
As a Repository Maintainer
**Daily:** 1. Check Workflow Health Dashboard pinned issue for critical issues 2. Address P0/P1 issues immediately 3. Review Campaign Manager report if campaigns are active 4. Review Agent Performance Report discussion
**Weekly:** 1. Review and prioritize improvement issues 2. Update agent prompts based on recommendations
**Monthly:** 1. Review trends across all three reports 2. Adjust meta-orchestrator schedules if needed 3. Refine meta-orchestrator prompts based on learnings
As a Workflow Author
**When creating a workflow:** 1. Check Agent Performance report for best practices 2. Review similar high-performing workflows 3. Avoid patterns flagged in health reports
**When your workflow has issues:** 1. Check if Workflow Health Manager created an issue 2. Follow recommendations in the issue 3. Comment on the issue when fixed so it gets closed
As a Campaign Owner
**When starting a campaign:** 1. Check Campaign Manager for potential conflicts 2. Review coordination notes with related campaigns 3. Set up project board properly
**During campaign:** 1. Monitor your campaign's health score 2. Address flagged issues promptly 3. Coordinate with other campaigns as suggested
Understanding Reports
Health Scores
Scores are 0-100, calculated as:
- **80-100:** Healthy - No action needed
- **60-79:** Warning - Monitor closely
- **40-59:** Needs Attention - Address soon
- **0-39:** Cr
GitHub Agentic Workflows (gh-aw) lets you write repository automation in plain Markdown and run AI coding agents — GitHub Copilot, Claude Code, OpenAI Codex, or Google Gemini — inside GitHub Actions, with sandboxed execution, read-only defaults, and safe
Repo: github/gh-aw

