What is the ORC skill for Claude Code?

ORC is a meta-orchestrator that manages complex, multi-step tasks by breaking them down, interviewing the user for details, and delegating work to specialized sub-agents.

Does ORC automatically generate documentation?

Yes, for complex builds and refactors, ORC creates and maintains PRD and session files to track progress and maintain context across multiple iterations.

Can ORC run multiple agents at the same time?

Yes, ORC can spawn multiple sub-agents in parallel for independent tasks or create 'agent teams' when a project requires debate and multiple perspectives.

How does ORC handle vague requirements?

ORC uses a 'Clarity Gate' system where it presents options and specific defaults to the user, refusing to proceed until requirements are sufficiently detailed for the task type.

What types of tasks can ORC manage?

ORC is universal and supports building, fixing, analyzing, researching, reviewing, writing documentation, DevOps, data science, and even vision-based tasks.

ORC Universal Meta-Orchestrator

Name: ORC Universal Meta-Orchestrator
Author: jbj338033

byjbj338033

0•

Productivity & Workflow

Orchestrates complex AI workflows by classifying tasks, conducting deep requirement interviews, and delegating to specialized sub-agents.

The ORC skill acts as a high-level project manager for Claude Code, transforming simple prompts into structured development cycles. It features a robust classification engine that identifies the nature of a task—whether it's building a new feature, fixing a bug, or conducting deep research—and initiates a tailored interview process to eliminate ambiguity. By generating PRDs and managing a fleet of specialized sub-agents such as 'scouts', 'coders', and 'analysts', ORC ensures that complex projects are executed iteratively and verified at every step.

Key Features

01Intelligent task classification for 12+ domains including DevOps and Data Science

02Automated PRD (Product Requirements Document) generation and session tracking

03Deep-dive interview system to capture exhaustive technical requirements

040 GitHub stars

05Dynamic agent delegation with support for parallel sub-tasks and team debates

06Iterative execution loop that verifies results before proceeding to the next step

Use Cases

01Building full-stack applications by managing multiple specialized agents for frontend, backend, and testing

02Solving complex architectural problems through multi-perspective agent 'team' debates

03Conducting comprehensive codebase audits and security reviews using parallel analysts

Key Features

01Intelligent task classification for 12+ domains including DevOps and Data Science

02Automated PRD (Product Requirements Document) generation and session tracking

03Deep-dive interview system to capture exhaustive technical requirements

040 GitHub stars

05Dynamic agent delegation with support for parallel sub-tasks and team debates

06Iterative execution loop that verifies results before proceeding to the next step

Use Cases

01Building full-stack applications by managing multiple specialized agents for frontend, backend, and testing

02Solving complex architectural problems through multi-perspective agent 'team' debates

03Conducting comprehensive codebase audits and security reviews using parallel analysts