Compose autonomous project workspaces with phased execution plans.
npx skills add https://github.com/robwestz/memoryporter --skill project-launcher
Please help me install this Agent Skill. Skill: project-launcher Source: https://github.com/robwestz/memoryporter/tree/main/knowledge/meta-skills/project-launcher Command: npx skills add https://github.com/robwestz/memoryporter --skill project-launcher
This Skill helps users create autonomous project workspaces with a structured, phased execution plan, enabling automated project building and management.
Use the project-launcher skill to start a new project named 'writer-tool' at C:/Users/robin/projects/writer-tool with the blueprint from 'docs/night-projects/a/blueprint-writer-tool.md'.
High-intent search queries and answers about installing and using this skill.
To set up an autonomous project workspace, you need a tool that handles project intake, blueprinting, and skill selection to generate a structured phase plan for automated building. This process creates a self-contained directory integrating all necessary skills and protocols for systematic development.
Autonomous project building uses an AI client to automate development through a structured phase plan. Phased execution works by breaking the project into sequential stages, handling intake, workspace composition, and skill integration before handing off to the automated builder.
Yes, you need Claude Code or a compatible AI client to compose a project workspace with multiple skills. The setup also requires a bash environment to execute the workspace composition script that integrates the necessary protocols and documentation.
Yes, you can launch a new project startup without a portable kit on disk by using a project launcher. It generates the workspace structure dynamically by reading a blueprint file and composing the required skills and protocols directly into the target directory.
The best way to structure a project for automated AI development is using a blueprint-driven approach. This involves defining project requirements in a markdown blueprint, then using a composition script to generate a structured workspace with a phased execution plan for the AI client.
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