gstack: Turns Claude Code and other coding agents into a virtual engineering team that plans, reviews, tests, and ships
What problem it solves
Coding agents need structure to be useful: a blank prompt leaves them without a role, a plan, or a review discipline, and generic output is hard to trust. Defects also slip past CI and surface only in a real browser or in production, while reviews, QA and release work stay manual. gstack answers with fixed specialist roles, a sprint-ordered skill sequence, and review and QA steps that operate on running software.
Key features
A virtual engineering team of named specialists — Skills map to roles — CEO, Eng Manager, Senior Designer, Staff Engineer, QA Lead, Chief Security Officer, Release Engineer — each with a defined job, so the agent works from a role instead of a blank prompt.
Source: README, review
A sprint-ordered flow from framing to shipping — Skills run in the order a sprint runs — Think, Plan, Build, Review, Test, Ship, Reflect — and each one feeds the next, so a design doc written early is read by later steps.
Source: README
Review and QA against real behavior — The reviewer hunts bugs that pass CI, flags weakened tests and gate integrity, and auto-fixes the obvious ones. The QA lead drives a real browser or exercises APIs, CLIs, jobs and webhooks, reproducing bugs and writing failing regressions before re-verifying the fix.
Source: README, qa
Team mode for shared repositories — Team mode bootstraps a repo so teammates get gstack automatically, with no vendored files, no version drift and no manual upgrades. A silent, throttled auto-update check runs at the start of every session.
Source: README, setup
Installs across many agent harnesses — Setup can target a single host or every host it detects, with tiers from certified full installs to experimental and instruction-only ones. A status command prints one row per install, and an upgrade command refreshes every registered install.
Source: README, hosts
Quick start
Copied verbatim from the project's README.
(cd ~/.claude/skills/gstack && ./setup --team) && ~/.claude/skills/gstack/bin/gstack-team-init required && git add .claude/ CLAUDE.md && git commit -m "require gstack for AI-assisted work"You: I want to build a daily briefing app for my calendar.
You: /office-hours
Claude: [asks about the pain — specific examples, not hypotheticals]
You: Multiple Google calendars, events with stale info, wrong locations.
Prep takes forever and the results aren't good enough...
Claude: I'm going to push back on the framing. You said "daily briefing
app." But what you actually described is a personal chief of
staff AI.
[extracts 5 capabilities you didn't realize you were describing]
[challenges 4 premises — you agree, disagree, or adjust]
[generates 3 implementation approaches with effort estimates]
RECOMMENDATION: Ship the narrowest wedge tomorrow, learn from
real usage. The full vision is a 3-month project — start with
the daily briefing that actually works.
[writes design doc → feeds into downstream skills automatically]
You: /plan-ceo-review
[reads the design doc, challenges scope, runs 10-section review]
You: /plan-eng-review
[ASCII diagrams for data flow, state machines, error paths]
[test matrix, failure modes, security concerns]
You: Approve plan. Exit plan mode.
[writes 2,400 lines across 11 files. ~8 minutes.]
You: /review
[AUTO-FIXED] 2 issues. [ASK] Race condition → you approve fix.
You: /qa https://staging.myapp.com
[opens real browser, clicks through flows, finds and fixes a bug]
You: /ship
Tests: 42 → 51 (+9 new). PR: github.com/you/app/pull/42Who it may suit
Inference: this may suit founders and technical CEOs who still want to ship, first-time Claude Code users who want structured roles instead of a blank prompt, and tech leads or staff engineers who want rigorous review, QA, and release automation on every PR.
Topics to discuss
Which specialist roles would you add, remove or merge in a sprint like Think → Plan → Build → Review → Test → Ship → Reflect?
How should team mode handle version drift and the trade-off between automatic updates and predictable pinned installs?
What is the right boundary between auto-fixing issues and asking a human, especially around weakened tests and suppressed coverage?
Written by ReadmeX AI from the project's README, source and public GitHub data; it may contain mistakes.
Read the original README https://github.com/garrytan/gstack#readme
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