What happens if a task fails during execution?

The skill identifies failures as 'blockers' and provides commands to resolve them by either retrying the task with a corrective message or skipping it.

What is a Wave Server?

Wave Server is an orchestration backend that parses complex implementation plans into a Directed Acyclic Graph (DAG) and executes them using AI workers.

Does this skill support parallel task execution?

Yes, the Wave Server executes independent features within the same wave in parallel to maximize efficiency.

How do I define a task plan for this skill?

Plans are written in Markdown format, specifying tasks, agents (worker, test-writer, wave-verifier), dependencies, and target files.

How do I verify if the Wave Server is accessible?

The skill includes a health check command using curl to verify the server status (defaulting to localhost:8000) before initiating workflows.

Wave Server Orchestrator

Name: Wave Server Orchestrator
Author: rHedBull

byrHedBull

0•

Productivity & Workflow

Orchestrates multi-agent coding workflows by managing projects, plans, and wave-based executions via the Wave Server REST API.

The Wave Server skill enables Claude Code to act as a command center for complex, multi-agent development projects. By interfacing with a running Wave Server instance, it allows users to manage project lifecycles, upload Markdown-based implementation plans, and monitor automated task executions. It excels at handling Directed Acyclic Graph (DAG) workflows where tasks are executed in logical 'waves'—from foundational setup to parallel feature development and final integration—providing a structured framework for large-scale codebase transformations and AI-driven task orchestration.

Key Features

01Markdown implementation plan parsing with support for task dependencies

02Real-time monitoring of wave-based execution status and event logs

03Automated task distribution across foundational, feature, and integration phases

040 GitHub stars

05Project and sequence lifecycle management through a structured REST API

06Human-in-the-loop blocker resolution for retrying or skipping failed tasks

Use Cases

01Automating complex feature implementations defined in structured Markdown specs

02Orchestrating a fleet of AI workers to perform parallel development and testing

03Managing large-scale codebase migrations requiring coordinated multi-step execution

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add rhedbull/skilled-labor wave-server

For use in Claude.ai and ChatGPT