What problem does it solve?
This Skill streamlines complex AI-driven development workflows by providing tools for testing, reviewing, planning, and deploying software, reducing manual effort and accelerating delivery.
Core Features & Use Cases
- Automates dependency licenses and security checks: Ensures license compliance and vulnerability detection.
- Supports multi-stage testing and evals: Runs end-to-end tests with large models, compare outputs, and track performance trends.
- Enables collaborative code reviews and bug investigations: Provides detailed inline annotations and structured feedback.
- Supports deployment workflows: Manages integrations with GitHub, GitLab, and CI/CD pipelines, including progressive rollouts and regressions.
- Supports code and design planning: Facilitates design discussions, architecture reviews, and project planning with shared documentation and review dashboards.
- Provides secure, scoped browser automation: Via headless or headed modes, remote pairing, and user session management, enabling QA, dogfooding, and visual validation.
The gstack skill is ideal for developers and product teams aiming to automate the entire software lifecycle — from planning and testing to deployment and retrospectives — with integrated AI guidance.
Quick Start
Initiate gstack's full software delivery pipeline by running /office-hours to clarify your goals, then /autoplan to plan architecture, code, and tests, and finally /ship to deploy seamlessly with confidence.