Is the Orchestrator Framework an executable skill?

No, it is a non-executable reference skill that provides standardized patterns and documentation for other orchestrators within the Maister ecosystem.

Does this framework support automatic code rollbacks?

No, it follows a safety-first principle that requires explicit user approval before any rollback occurs to prevent unintended changes to the codebase.

How does this skill help with long coding tasks?

It defines a state-driven execution model using YAML, allowing complex tasks to be paused, resumed, and tracked accurately across multiple AI sessions.

Can I build my own orchestrators using this framework?

Yes, it includes an authoring checklist and reference files specifically designed to help developers create new, consistent orchestrators for their own domains.

Maister Orchestrator Framework

Name: Maister Orchestrator Framework
Author: SkillPanel

bySkillPanel

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Productivity & Workflow

Standardizes structured development workflows and state management patterns for complex AI-driven coding tasks.

The Maister Orchestrator Framework serves as the foundational architectural layer for Maister-based Claude Code skills, providing a unified set of patterns for phase execution, state management, and interactive task handling. By centralizing logic for initialization, state-driven execution, and user-confirmed rollbacks, it ensures consistency across various domain-specific orchestrators like development, migration, and research. This framework enables Claude to maintain persistent progress, support resume capabilities, and adhere to strict standards-aware workflows without duplicating logic across multiple plugins.

Key Features

01Persistent State Management using orchestrator-state.yml schemas

02Standardized Phase Blocks with inline transitions (Continue, Pause, Conditional)

03Standards Discovery integration via structured .maister documentation

04Unified Task Tracking integration with TaskCreate and TaskUpdate patterns

05Interactive Phase Gates for user-review and manual approval cycles

0660 GitHub stars

Use Cases

01Implementing resume-capable workflows for long-running AI coding tasks

02Enforcing consistent behavior across custom development and research orchestrators

03Building new domain-specific orchestrators using a pre-defined architectural checklist

Key Features

01Persistent State Management using orchestrator-state.yml schemas

02Standardized Phase Blocks with inline transitions (Continue, Pause, Conditional)

03Standards Discovery integration via structured .maister documentation

04Unified Task Tracking integration with TaskCreate and TaskUpdate patterns

05Interactive Phase Gates for user-review and manual approval cycles

0660 GitHub stars

Use Cases

01Implementing resume-capable workflows for long-running AI coding tasks

02Enforcing consistent behavior across custom development and research orchestrators

03Building new domain-specific orchestrators using a pre-defined architectural checklist