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tiny-monitor-orchestrator

Orchestrate OpenClaw Tiny Monitor build and deployment with Hexagonal Architecture phases.

2|Updated Mar 27, 2026
Search Tags:#monitoring#microservices#orchestrate#hexagonal-architecture#openclaw#team-workflow#ai-usage-tracking
One-click install
npx skills add https://github.com/jaydenchoe/agentic-dev-gauge --skill tiny-monitor-orchestrator
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: tiny-monitor-orchestrator
Source: https://github.com/jaydenchoe/agentic-dev-gauge/tree/main/.claude/skills/tiny-monitor-orchestrator
Command: npx skills add https://github.com/jaydenchoe/agentic-dev-gauge --skill tiny-monitor-orchestrator

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

OpenClaw Tiny Monitor project requires a structured, phase-driven workflow to coordinate backend, frontend, adapters, and QA while enforcing Hexagonal Architecture and reproducible build artifacts.

Core Features & Use Cases

  • Phase 1: Architecture design and workspace initialization (creates _workspace, architecture docs, and initial project skeleton).
  • Phase 2: Parallel team development with defined handoffs between backend-dev, frontend-dev, adapter-dev, and qa-engineer.
  • Phase 3: Integration, validation, and final project packaging (requirements.txt, .env.example, README, run.sh).
  • Use Case: cross-functional teams collaborate to deliver a production-grade monitoring dashboard with real-time metrics and AI-usage tracking.

Quick Start

Run the tiny-monitor orchestrator workflow to initialize the workspace and begin Phase 1 architecture planning.

Frequently Asked Questions about tiny-monitor-orchestrator

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

FAQPage Schema
How do I orchestrate a microservices monitoring dashboard build with hexagonal architecture?▼

To build a microservices monitoring dashboard with hexagonal architecture, this orchestrator coordinates cross-functional teams through structured phases: architecture design, parallel development, and integration packaging. It enforces reproducible project structures and team communication rules.

What is the best way to coordinate backend, frontend, and QA teams for a real-time metrics application?▼

The best way to coordinate these teams for a real-time metrics application is using a phase-driven workflow with defined handoffs. This orchestrator establishes parallel development phases for backend-dev, frontend-dev, adapter-dev, and qa-engineer roles to ensure structured delivery.

Can I use this orchestrator to generate project requirements and deployment scripts for a monitoring application?▼

Yes, you can use this orchestrator to generate project requirements and deployment scripts. During the integration phase, it automatically packages final artifacts including requirements.txt, .env.example, README, and run.sh files for reproducible monitoring application deployments.

Does the tiny-monitor-orchestrator workflow support AI-usage tracking in a monitoring dashboard?▼

Yes, the tiny-monitor-orchestrator workflow supports AI-usage tracking. It orchestrates the delivery of a scalable monitoring dashboard equipped with real-time metrics and AI-usage tracking capabilities for cross-functional software engineering teams.

How do I start Phase 1 architecture planning for an OpenClaw Tiny Monitor project?▼

To start Phase 1 architecture planning for an OpenClaw Tiny Monitor project, run the orchestrator workflow. This initializes the workspace, generates architecture documentation, and establishes the initial project skeleton based on Hexagonal Architecture principles.

What limitations exist when using an orchestrator for cross-functional software engineering deployments?▼

When using an orchestrator for cross-functional deployments, limitations include strict adherence to specified project structures, phase milestones, and communication rules. Deviating from defined handoffs between backend-dev, frontend-dev, adapter-dev, and qa-engineer roles may compromise reproducible deployments.

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