gsd-autonomous

Execute remaining milestone phases from roadmap discovery through cleanup.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill removes the manual overhead of managing long-running milestone work by guiding a project from phase discovery through planning, execution, validation, and cleanup.

Core Features & Use Cases

  • Autonomous phase execution: Continues through remaining phases with minimal intervention.
  • Structured workflow control: Preserves discuss, plan, and execute steps while handling blockers and validation gates.
  • Progress tracking: Updates roadmap and state artifacts after each phase so work remains auditable.
  • Use case: Ideal for large implementation efforts where an AI agent must carry a project forward across multiple milestones without losing context.

Quick Start

Ask the gsd-autonomous skill to run the remaining phases of the current project autonomously.

Frequently Asked Questions about gsd-autonomous

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

FAQPage Schema
How do I automate milestone phase execution end-to-end for software delivery?

Autonomous phase execution guides a project from roadmap discovery through planning, execution, validation, and cleanup with minimal manual intervention. It applies to long-running milestone workflows that require structured phase state tracking and blocker handling.

What is the best way to run remaining project phases autonomously without losing context?

Running remaining phases autonomously requires structured workflow control that preserves discuss, plan, and execute steps while handling validation gates. The process updates roadmap and state artifacts after each phase so work remains fully auditable across multiple milestones.

Can I use autonomous execution for large implementation efforts across multiple milestones?

Autonomous execution is ideal for large implementation efforts where an AI agent must carry a project forward across multiple milestones. It handles phase state tracking, blocker resolution, artifact updates, and end-to-end workflow coordination without losing context.

Does autonomous phase execution preserve discussion and planning steps before deployment?

Autonomous phase execution preserves structured workflow control by maintaining discuss, plan, and execute steps. It handles validation gates and blockers while continuing through remaining phases to ensure proper milestone delivery and cleanup.

How does an autonomous agent handle blockers during milestone phase execution?

Autonomous milestone execution handles blockers through structured workflow control that maintains validation gates between phases. It tracks phase state and updates roadmap artifacts to ensure work remains auditable when issues arise during end-to-end coordination.