Orchestrate GSD as a headless subprocess for autonomous software construction.
npx skills add https://github.com/gsd-build/gsd-2 --skill gsd-orchestrator
Please help me install this Agent Skill. Skill: gsd-orchestrator Source: https://github.com/gsd-build/gsd-2/tree/main/gsd-orchestrator Command: npx skills add https://github.com/gsd-build/gsd-2 --skill gsd-orchestrator
Build software products autonomously by orchestrating GSD in headless mode from a spec to a deliverable. It coordinates writing a spec, launching a build, monitoring progress, handling blockers, tracking costs, and verifying outcomes.
Create a milestone from a spec and let GSD drive execution to completion.
High-intent search queries and answers about installing and using this skill.
Autonomous software construction from a spec is achieved by orchestrating GSD in headless mode. The agent coordinates writing a spec, launching a build, monitoring progress, handling blockers, and verifying outcomes to produce a working artifact.
Headless build orchestration works by driving GSD as a subprocess using shell commands, exit codes, and JSON output. This CLI model allows the agent to plan, code, test, and deliver milestones without interactive UI sessions.
Tracking build costs and handling blockers during automated project creation is supported natively. The orchestration model monitors ongoing progress, manages blocking scenarios, and verifies milestones throughout the end-to-end build flow.
Automating a spec.md to git history build flow is best handled by headless GSD orchestration. It creates a milestone from the spec and drives execution to completion, resulting in a working artifact with full git history.
Headless software orchestration does not require interactive UI sessions. It enforces a CLI headless orchestration model using shell commands and exit codes, allowing fully automated milestone verification and progress monitoring.
Headless build automation for software development milestones should be used when you need a fully automated build flow. It is ideal for build-from-spec workflows, project creation, and ongoing monitoring where the agent must autonomously plan and deliver.
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