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cox

Manage AI project planning, task tracking, and observability dashboards.

45|4|Updated Jan 23, 2026
Search Tags:#dashboard#observability#project-planning#issue-tracking#task-tracking#iteration-management
One-click install
npx skills add https://github.com/ewanyuan/cox-coding --skill cox
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cox
Source: https://github.com/ewanyuan/cox-coding/tree/main/cn/cox
Command: npx skills add https://github.com/ewanyuan/cox-coding --skill cox

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires flask>=2.0.0, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

Cox provides deterministic observability and MVP-driven iteration management for AI projects, helping teams track progress, identify risks, and align on execution.

Core Features & Use Cases

  • Project planning, progress tracking, risk identification, and module health monitoring
  • MVP-driven iteration planning with task decomposition and visible status updates
  • Issue tracking, user feedback handling, and observability data generation
  • Web and static observability dashboards with optional Flask-based UI

Quick Start

Start by generating a minimal observability data file for your project and launching the web observability dashboard using the provided scripts.

Frequently Asked Questions about cox

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

FAQPage Schema
How do I set up an observability dashboard for AI project tracking?▼

To set up an observability dashboard for AI project tracking, generate a minimal observability data file for your project and launch the web dashboard using the provided scripts. This enables real-time progress and module health monitoring for stakeholders.

What is MVP-driven iteration management for software engineering?▼

MVP-driven iteration management is a process that decomposes tasks into visible status updates and minimal viable product cycles. It helps teams align on execution, track progress, and identify risks during AI project development.

Do I need Flask to run the web observability dashboard?▼

You need Flask to run the optional Flask-based UI for the web observability dashboard. It requires Flask version 2.0.0 or higher to launch the interface for project planning and issue handling.

Can I handle issue tracking and user feedback with static dashboards?▼

You can handle issue tracking and user feedback using static observability dashboards, or optionally launch a Flask-based UI. Both approaches support monitoring module health and generating observability data.

What is the best way to plan iterations and decompose tasks for AI projects?▼

The best way to plan iterations and decompose tasks for AI projects is using MVP-driven iteration planning. This approach provides visible status updates, coordinates with development skills, and ensures deterministic observability.

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