Automate software development workflows with specialized AI agents and browser QA.
npx skills add https://github.com/Vinnni002/Sikshak --skill gstack-vinnni002
Please help me install this Agent Skill. Skill: gstack Source: https://github.com/Vinnni002/Sikshak/tree/main/.claude/skills/gstack Command: npx skills add https://github.com/Vinnni002/Sikshak --skill gstack-vinnni002
This Skill Suite provides specialized AI agents for various software development workflows, from planning and coding to review, testing, and shipping, enhancing productivity and quality across the entire development lifecycle.
/browse skill enables AI agents to interact with web applications, perform QA, and gather visual evidence./plan-ceo-review to explore product vision, /review to catch subtle bugs, /browse to test a feature on staging, and finally /ship to automate the release process.Use the gstack skill to get started with specialized AI development workflows.
High-intent search queries and answers about installing and using this skill.
Automating code review and QA testing requires specialized AI agents that analyze code and interact with web applications. This suite provides distinct personas for rigorous review, automated shipping, and headless browser-based QA testing to catch bugs and gather visual evidence.
Yes, AI agents can handle product planning and release automation by adopting specialized personas. This suite offers CEO-level product vision for planning and dedicated agents for shipping, enabling seamless transitions from coding to automated releases.
Running browser automation for QA testing with AI agents requires Claude Code and Bun. These dependencies enable the headless browser skill to interact with web applications, perform visual QA, and gather evidence during the testing phase.
An AI engineering workflow suite improves the software development lifecycle by providing specialized agents for each phase. It integrates product planning, code review, browser-based QA, and release automation, enhancing productivity and quality across the entire workflow.
Headless browser automation for web application testing is limited to interactions and visual evidence gathering within the staging environment. It operates through Claude Code and Bun, meaning it functions within the constraints of those platforms and the AI agent's operational scope.
The best way to integrate product vision with code review and shipping is using a unified AI workflow suite. You can use specific commands to explore product vision, catch bugs during review, test features on staging, and automate the release process sequentially.
AkbarDevopManage AI agent lifecycles for software development with headless browser automation.
burgebjConfigure deployment settings and write them to a configuration file.
OKHP3Convert AI-driven assets and ideas into standardized GitHub repositories.
reomgitTest web applications and generate detailed QA reports with repro steps.