Coordinate planning, design, QA, and shipping via a CLI-driven skill registry.
npx skills add https://github.com/algorithmbasics/gstack --skill gstack-algorithmbasics
Please help me install this Agent Skill. Skill: gstack Source: https://github.com/algorithmbasics/gstack/tree/main Command: npx skills add https://github.com/algorithmbasics/gstack --skill gstack-algorithmbasics
gstack simplifies the challenge of transforming Claude Code prompts into a complete, working software workflow by organizing a rich set of skills and a portable browser automation surface. It enables a single builder to execute end-to-end processes that typically require a small team, including planning, design, QA, and release steps, all from a local workstation.
Install gstack, then run /office-hours to begin planning and create a design doc.
High-intent search queries and answers about installing and using this skill.
End-to-end software engineering workflows are automated by orchestrating planning, design, QA, and shipping tasks across a centralized skill registry via a CLI-driven workflow, enabling a single builder to execute full team processes locally.
A CLI-driven engineering workflow coordinates AI agents through a predictable command surface, exposing a safe local execution model that allows builders to audit and customize planning, design, and QA processes from their workstation.
A persistent browser daemon is used for local QA automation to preserve state across commands, ensuring reliable testing and dogfooding by maintaining a long-running execution environment directly on your workstation.
To start planning a software project, you install the skill registry and run the designated office-hours command, which initiates the planning phase and generates a design doc for your workflow.
Local workflow automation safety policies can be customized through the predictable command surface, which provides policy-driven safety guarantees and a safe, local execution model designed specifically for auditing.
Automating software releases as a one-person engineering team is limited to local workstation execution and relies entirely on the available skill registry, meaning complex infrastructure scaling still requires external coordination beyond the local CLI workflow.
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