orchestrate

Automates blueprint execution by orchestrating multi-agent tasks in waves via dispatch and certify workflows.

12|Updated Apr 17, 2026
One-click install
npx skills add https://github.com/Alexander-Tyagunov/magician --skill orchestrate-alexander-tyagunov
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: orchestrate
Source: https://github.com/Alexander-Tyagunov/magician/tree/main/skills/orchestrate
Command: npx skills add https://github.com/Alexander-Tyagunov/magician --skill orchestrate-alexander-tyagunov

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Drives end-to-end automation by coordinating multiple agents to execute blueprints, optimizing parallelism where possible and preserving correctness where necessary.

Core Features & Use Cases

  • Build an execution graph from a blueprint by extracting tasks, their parallelism, and dependencies.
  • Dispatch tasks in waves, running parallel tasks concurrently and awaiting completion before the next wave.
  • Perform post-wave sanity checks and certify final results to ensure code integrity and traceability.
  • Use cases include complex SDLC automation, multi-service deployments, and large-scale workflow orchestration.

Quick Start

Provide a blueprint plan in the workspace and run the orchestrate skill to execute it.

Frequently Asked Questions about orchestrate

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

FAQPage Schema
How do I automate multi-agent blueprint execution for complex SDLC pipelines?

Multi-agent blueprint execution is automated by reading a blueprint plan, extracting tasks and dependencies, and building a wave-based execution graph. It dispatches parallel tasks concurrently, awaits completion before sequential waves, runs sanity checks, and certifies final results.

What is wave-based execution graph orchestration for multi-agent tasks?

Wave-based execution graph orchestration is a coordination method that groups blueprint tasks into waves. Parallel tasks run concurrently within a wave, and sequential dependencies are resolved by awaiting completion before dispatching the next wave of tasks.

Can I use parallel and sequential task dispatch for multi-service deployments?

Yes, parallel and sequential task dispatch supports multi-service deployments by running independent components concurrently while preserving order for dependent tasks. The orchestrator applies post-wave sanity checks to ensure code integrity across all deployed services.

How do I run post-wave sanity checks and certify results in automated workflows?

Post-wave sanity checks and certification are handled automatically after each wave completes its task dispatch. The orchestrator validates code integrity during execution and runs a final certification step to ensure traceability before reporting overall completion.

Do I need a predefined blueprint plan to orchestrate multi-agent workflows?

Yes, a predefined blueprint plan must be provided in the workspace to orchestrate multi-agent workflows. The orchestrator reads this blueprint to extract tasks, determine their parallelism, and map dependencies before building the execution graph.

When should I use multi-agent orchestration instead of single-agent task execution?

Multi-agent orchestration should be used for complex project workflows, SDLC pipelines, and multi-component deployments where tasks can run in parallel or must run sequentially. It optimizes parallelism where possible while preserving correctness where necessary.