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gsd-2

Orchestrates spec-driven software development for AI coding agents with git worktrees and crash recovery.

Updated Mar 20, 2026
Search Tags:#workflow#development#spec-driven#orchestration#autonomous#ai-coding#gsd
One-click install
npx skills add https://github.com/jaydeland/Tony --skill gsd-2
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: gsd-2
Source: https://github.com/jaydeland/Tony/tree/main/.claude/skills/gsd-2
Command: npx skills add https://github.com/jaydeland/Tony --skill gsd-2

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orchestrates autonomous, spec-driven software development for AI coding agents, enabling repeatable planning, execution, and governance across complex projects.

Core Features & Use Cases

  • Milestone, slice, and task planning: defines hierarchical work units and manages transitions between planning and execution.
  • Parallel orchestration with Git worktrees: isolates workstreams to run multiple milestones concurrently without interference.
  • Reliability and governance: provides crash recovery, timeouts, and verification to ensure task completion and traceability.
  • Use Case: A team defines M1 with slices S01–S04 and lets the system autonomously execute tasks, track progress, and report results.

Quick Start

Run GSD 2 in auto mode to execute a milestone from plan to completion.

Frequently Asked Questions about gsd-2

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

FAQPage Schema
How do I orchestrate autonomous software development across multiple AI coding agents?▼

Autonomous software development orchestration coordinates AI coding agents through hierarchical milestone, slice, and task planning. It manages transitions between planning and execution phases while enforcing crash recovery and verification for reliable task completion.

What is spec-driven development orchestration and when do I need it?▼

Spec-driven development orchestration enables repeatable planning and governance for complex AI coding projects. You need it when managing parallel workstreams across isolated environments, ensuring traceability and task completion without manual intervention.

How do I run parallel development workstreams without git conflicts?▼

Parallel development workstreams use Git worktrees to isolate milestones and tasks concurrently. This prevents interference between multiple workers executing autonomous tasks, allowing synchronized progress tracking across isolated environments.

Does autonomous AI coding orchestration support crash recovery and timeout supervision?▼

Autonomous AI coding orchestration enforces crash recovery, timeout supervision, and verification protocols. These reliability mechanisms ensure task completion and maintain traceability even when individual agents fail or stall during milestone execution.

What is the best way to plan milestones for autonomous AI agent execution?▼

Milestone planning for autonomous AI agents involves defining hierarchical work units like slices and tasks, then running in auto mode to execute from plan to completion. The system autonomously tracks progress and reports results across defined work units.

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