workmesh

Orchestrate WorkMesh project and task management via CLI or MCP.

Updated Mar 22, 2026
One-click install
npx skills add https://github.com/luislobo/workmesh --skill workmesh
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: workmesh
Source: https://github.com/luislobo/workmesh/tree/main/.codex/skills/workmesh
Command: npx skills add https://github.com/luislobo/workmesh --skill workmesh

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines project and task management by integrating planning state directly with your codebase, ensuring consistency and reducing manual overhead.

Core Features & Use Cases

  • Codex-First Workflow: Seamlessly integrate WorkMesh into your AI-assisted development process.
  • Bootstrap & Migration: Automatically initializes WorkMesh in new repositories or migrates existing legacy structures.
  • Feature Workflow Management: Manages the end-to-end lifecycle of a feature, including PRD updates, task breakdown, and decision tracking.
  • CLI & MCP Support: Offers flexible interaction via a command-line interface or a more integrated MCP (Multi-Channel Protocol) experience.

Quick Start

Use the workmesh skill to bootstrap WorkMesh in this repository, using MCP if available, otherwise CLI.

Frequently Asked Questions about workmesh

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

FAQPage Schema
How do I integrate project management and task tracking directly into my codebase?

You can integrate project management directly into your codebase by orchestrating WorkMesh within your development workflow to sync planning state, repository initialization, and feature lifecycle management alongside your code.

How does task breakdown with acceptance criteria work in an AI-assisted development workflow?

Task breakdown with acceptance criteria works by logging decisions and updating PRDs directly in your repository, allowing AI coding assistants to process feature requirements and lifecycle states through a codex-first experience.

Can I use CLI and MCP interactions to automate feature lifecycle management?

Yes, you can use both CLI and MCP interactions to automate feature lifecycle management, offering flexible integration whether you prefer command-line execution or a Multi-Channel Protocol experience with AI assistants.

What is the best way to bootstrap project workflows in a new repository?

The best way to bootstrap project workflows in a new repository is to automate initialization and legacy structure migration, ensuring your planning state and task documentation are consistent from the start.

Do I need specific dependencies to manage PRD updates and decision logging?

No specific dependencies are required to manage PRD updates and decision logging, as the Skill operates independently to detect repository state and orchestrate WorkMesh project management tasks.

Why does managing planning state separately from my codebase cause consistency issues?

Managing planning state separately from your codebase causes consistency issues because manual overhead increases the risk of documentation drift, whereas integrating WorkMesh directly synchronizes task management with development progress.