cs-smart-run

Orchestrate two-phase AI task execution with Opus planning and Sonnet execution.

1|1|Updated Apr 25, 2026
One-click install
npx skills add https://github.com/intenet1001-commits/CSnCompany_2-0 --skill cs-smart-run
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cs-smart-run
Source: https://github.com/intenet1001-commits/CSnCompany_2-0/tree/main/plugins/cs-smart-run/skills/smart-run
Command: npx skills add https://github.com/intenet1001-commits/CSnCompany_2-0 --skill cs-smart-run

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orchestrates two-phase AI task execution by planning with Opus and executing with Sonnet to deliver structured, parallelizable workstreams from complex goals.

Core Features & Use Cases

  • Two-phase workflow: PLAN with Opus to analyze the task and produce a plan; EXEC with Sonnet to implement the plan.
  • Parallel execution where possible: Sonnet agents run steps in parallel when dependencies allow.
  • Progress visibility: integrates with cmux to show phase status and completion.

Quick Start

Tell the AI to run a task with /smart-run <task> and it will plan with Opus and execute with Sonnet.

Frequently Asked Questions about cs-smart-run

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

FAQPage Schema
How do I orchestrate multi-agent AI tasks with separate planning and execution phases?

Multi-agent orchestration separates task phases by using Opus to analyze goals and produce a structured plan, then passing execution to Sonnet agents for implementation. This two-phase workflow ensures complex objectives are decomposed before execution begins.

What is the best way to parallelize AI task execution after generating an upfront plan?

Parallelizing AI task execution is handled by running Sonnet agents concurrently when step dependencies allow. The plan generated by Opus identifies independent workstreams, enabling Sonnet to execute compatible steps in parallel for faster completion.

Can I use Opus for planning and Sonnet for execution in a single automated workflow?

Yes, combining Opus and Sonnet in a single workflow allows Opus to handle upfront planning and Sonnet to handle execution. This orchestration provides controlled handoffs between the two models to structure complex, multi-agent tasks.

How do I get progress visibility and status updates during multi-agent task execution?

Progress visibility during multi-agent execution is provided through integration with cmux, which displays phase status and completion updates. This allows you to track the planning and execution phases as they progress.

When should I use a two-phase AI orchestration workflow instead of a single agent?

A two-phase orchestration workflow is necessary for complex, multi-agent tasks requiring upfront planning and parallelized execution. If your goal demands structured decomposition and controlled handoffs before implementation, this approach is required.