GStack
UnclaimedTransform Claude Code into a specialized team of AI assistants for rigorous software development workflows.
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TL;DR - GStack
- Transforms Claude Code into specialized AI roles for development.
- Offers structured workflows for planning, engineering, review, shipping, and QA.
- Ensures consistent, high-rigor AI assistance across the development lifecycle.
Pricing: Free plan available
Best for: Growing teams
Pros & Cons
Pros
- Provides highly specialized and consistent AI assistance for development tasks.
- Automates complex workflows like shipping and comprehensive QA testing.
- Enhances product quality by identifying subtle bugs and architectural flaws.
- Allows testing of authenticated pages without manual login via cookie import.
- Transforms generic AI into a structured, multi-role development team.
Cons
- Requires existing heavy usage and familiarity with Claude Code.
- Not suitable for beginners, as it's described as an 'operating system' for those who ship.
- The full potential might be realized with multiple Claude Code sessions (e.g., 10 at once).
Preview
Key Features
CEO-level product rethinking and 10-star product identification (/plan-ceo-review)Engineering manager / tech lead architecture and edge case definition (/plan-eng-review)Paranoid staff engineer code review for subtle bugs and production issues (/review)Release engineer one-command shipping (sync, test, push, open PR) (/ship)QA engineer browser automation with login, clicks, screenshots, and breakage detection (/browse)QA lead systematic testing with structured reports, health scores, and regression tracking (/qa)Session manager for importing browser cookies for authenticated testing (/setup-browser-cookies)Engineering manager team-aware retrospectives with praise and growth opportunities (/retro)
Pricing Plans
Free TrialFree
$0 USD per month
- Unlimited public/private repositories
- Dependabot security and version updates
- 2,000 CI/CD minutes/month (Free for public repositories)
- 500MB of Packages storage (Free for public repositories)
- Issues & Projects
- Community support
- GitHub Copilot Access
- GitHub Codespaces Access
Team
$4 USD per user/month
- Everything included in Free
- Access to GitHub Codespaces
- Repository rules
- Multiple reviewers in pull requests
- Draft pull requests
- Code owners
- Required reviewers
- Pages and Wikis
- Environment deployment branches and secrets
- 3,000 CI/CD minutes/month (Free for public repositories)
- 2GB of Packages storage (Free for public repositories)
- Web-based support
- GitHub Secret Protection
- GitHub Code Security
Enterprise
$21 USD per user/month
- Everything included in Team
- Data residency
- Enterprise Managed Users
- User provisioning through SCIM
- Enterprise Account to centrally manage multiple organizations
- Environment protection rules
- Repository rules
- Audit Log API
- SOC1, SOC2, type 2 reports annually
- FedRAMP Tailored Authority to Operate
What is GStack?
GStack is a set of opinionated workflow skills designed to enhance Claude Code, turning it from a generic AI assistant into a team of specialized agents. It provides eight distinct modes, including CEO-level product planning, engineering management for architecture and edge cases, paranoid code review, one-command shipping, browser automation for QA, and systematic QA testing with reporting. This allows developers to summon specific AI 'brains' on demand, ensuring consistent, high-rigor workflows for various stages of the software development lifecycle.
This tool is specifically for developers who already heavily use Claude Code and seek to move beyond inconsistent, generic AI interactions. It's an operating system for those who ship, enabling them to pressure-test product ideas, lock in architectural details, catch subtle bugs, automate deployment, and perform comprehensive QA testing. By providing structured commands, GStack helps users achieve a higher level of precision and consistency in their AI-assisted development processes, making it easier to build and ship quality software faster.
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GStack FAQ
How does GStack differentiate its '/review' command from a standard code linter or CI check?
The '/review' command, acting as a 'paranoid staff engineer,' goes beyond typical linters or CI. It's designed to find subtle bugs that might pass automated checks but could lead to production issues, such as race conditions, trust boundary vulnerabilities (like prompt injection vectors), or missing orphan cleanup for failed operations, rather than just style nitpicks.
What specific types of issues can the '/plan-ceo-review' command help identify that a developer might miss?
The '/plan-ceo-review' command helps rethink the problem from a founder/CEO perspective. It pushes beyond the literal request to uncover the '10-star product' hiding within, suggesting features that address the underlying user need more comprehensively, like auto-identifying products from photos, pulling specs, and drafting descriptions, rather than just implementing a basic photo upload.
How does GStack's '/qa' command provide systematic testing and what are its different modes?
The '/qa' command, acting as a 'QA lead,' performs systematic QA testing. It generates structured reports, health scores, and tracks regressions, including screenshots. It offers three modes: 'full' for comprehensive testing, 'quick' for a rapid smoke test (e.g., homepage + 5 pages in 30 seconds), and 'regression' for focused regression checks.
Can GStack integrate with different browser types for its '/setup-browser-cookies' feature?
Yes, the '/setup-browser-cookies' command, acting as a 'session manager,' is designed to import cookies from various real browsers. It explicitly lists support for Comet, Chrome, Arc, Brave, and Edge, allowing users to test authenticated pages in a headless session without manual login.
What is the concept of 'Skill Mode' in GStack and how does it improve upon generic Claude Code interactions?
Skill Mode in GStack refers to the ability to invoke specific, opinionated workflow skills (like '/plan-ceo-review' or '/review') as slash commands. This transforms Claude Code from a single generic assistant into a team of specialists, ensuring that the AI applies the appropriate 'brain' (e.g., founder taste, engineering rigor, paranoid review) to a task, leading to more consistent, rigorous, and targeted responses compared to a general prompt.
Source: github.com