cdr

Decompose high-level goals into validated task DAGs and orchestrate agent workflows.

Updated Mar 11, 2026
One-click install
npx skills add https://github.com/elcoosp/elcoosp-skills --skill cdr
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cdr
Source: https://github.com/elcoosp/elcoosp-skills/tree/main/virtual-saas-team/agents/core/cdr
Command: npx skills add https://github.com/elcoosp/elcoosp-skills --skill cdr

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill acts as the strategic brain for an AI team, taking high-level goals and decomposing them into executable task DAGs, assigning them to the correct agents, and synthesizing the results. It handles conflict resolution and re-planning when tasks fail.

Core Features & Use Cases

  • Goal Decomposition: Breaks down complex objectives into a validated Directed Acyclic Graph (DAG) of tasks.
  • Agent Orchestration: Assigns tasks to the most appropriate agents and defines collaboration blueprints.
  • Conflict Resolution & Re-planning: Detects and resolves contradictions between agent outputs and adapts to task failures.
  • Use Case: A human operator provides a goal like "Launch new marketing campaign for Product X." CDR will decompose this into tasks for Product Management, System Architecture, Marketing, Engineering, QA, and Release Management, ensuring dependencies are met and outputs are synthesized into a final campaign plan.

Quick Start

Use the cdr skill to decompose the goal "Develop and deploy the new user authentication module."

Frequently Asked Questions about cdr

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

FAQPage Schema
How do I decompose a high-level goal into a Directed Acyclic Graph for multi-agent workflows?

Workflow orchestration resolves agent conflicts by detecting contradictions between agent outputs and applying conflict resolution mechanisms. If task failure occurs, it adapts by re-planning the workflow and regenerating the task dependencies dynamically.

What is the best way to manage AI team coordination for complex task dependencies?

Yes, you can orchestrate cross-functional deliverables by providing a goal like launching a marketing campaign. The system decomposes the objective into tasks for Product Management, Engineering, QA, and Marketing, ensuring dependencies are met and synthesizing a final plan.

How do I automate re-planning when a task fails in an agent coordination workflow?

You automate re-planning in agent coordination workflows by leveraging an orchestration system that detects task failure, adapts the strategy dynamically, and generates a new Directed Acyclic Graph to keep the multi-agent collaboration progressing toward the final deliverable package.

Does workflow orchestration support conflict resolution for inter-agent output contradictions?

Workflow orchestration handles task dependency management by mapping agent assignments to a Directed Acyclic Graph. This validates execution order, manages inter-agent coordination requirements, and produces collaboration blueprints to guide the entire multi-agent process.