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Por padrão, está selecionado o prompt que primeiro revisa a origem. Você pode mudar para um comando direto ou baixar uma cópia local.
Leia o SKILL.md e os arquivos complementares exibidos pelo SkillsMP antes de decidir se vai instalar.
Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.
Um comando direto ignora o prompt de revisão. Verifique a origem antes de executá-lo.
npx skills add https://github.com/1055373165/prompt-skills_collect --skill gstackO comando permanece em uma só linha. Role horizontalmente para revisá-lo antes de copiar.
Prefere uma cópia local? Baixe os arquivos disponíveis atualmente no SkillsMP.
Deep codebase knowledge extraction pipeline. Systematically reads a codebase, extracts design philosophy and engineering wisdom, produces an AI-injectable knowledge base and a high-density technical blog series. Use when asked to "understand this codebase", "learn from this code", "write a blog series about this repo", or "extract design philosophy".
Full-lifecycle autonomous development agent. User provides a requirement or refactoring plan, and the agent drives the entire flow: requirement locking → architecture design → tech spikes → task decomposition → MDU execution → review → delivery. Use when asked to "autopilot this", "build this feature end-to-end", "run the full dev workflow", "autonomous development", or when a user provides a requirement and wants hands-off execution. Proactively suggest when the user describes a multi-step feature, refactoring plan, or says "I want this built automatically".
Full-lifecycle autonomous development agent. User provides a requirement or refactoring plan, and the agent drives the entire flow: requirement locking → architecture design → tech spikes → task decomposition → MDU execution → review → delivery. Use when asked to "autopilot this", "build this feature end-to-end", "run the full dev workflow", "autonomous development", or when a user provides a requirement and wants hands-off execution. Proactively suggest when the user describes a multi-step feature, refactoring plan, or says "I want this built automatically".
Baseado na classificação ocupacional SOC
Exibindo SKILL.md
| description | https://github.com/garrytan/gstack |
| name | gstack |
https://github.com/garrytan/gstack
git clone https://github.com/garrytan/gstack.git ~/.claude/skills/gstack && cd ~/.claude/skills/gstack && ./setup
/plan-ceo-review：CEO/Founder Rethink the problem. Find the 10-star product hiding inside the request. Four modes: Expansion, Selective Expansion, Hold Scope, Reduction. 重新思考问题。找到隐藏在请求中的 10 星产品。四种模式：扩展、选择性扩展、保持范围、缩小。
/plan-eng-review：Eng Manager Lock in architecture, data flow, diagrams, edge cases, and tests. Forces hidden assumptions into the open. 锁定架构、数据流、图表、边缘情况和测试。将隐藏的假设公开化。
/plan-design-review：Senior Designer 80-item design audit with letter grades. AI Slop detection. Infers your design system. Report only — never touches code. 80项设计审核，以字母等级评分。AI模糊检测。推断您的设计系统。仅报告——永不接触代码。
/design-consultation：Design Partner Build a complete design system from scratch. Knows the landscape, proposes creative risks, generates realistic product mockups. Design at the heart of all other phases. 从头开始构建一个完整的设计系统。了解行业状况，提出创新风险，生成现实的产品原型。设计是所有其他阶段的中心。
/review：Staff Engineer Find the bugs that pass CI but blow up in production. Auto-fixes the obvious ones. Flags completeness gaps. 找出通过CI测试但在生产中崩溃的bug。自动修复明显的bug。标记完整性差距。
/ship：Release Engineer Sync main, run tests, audit coverage, push, open PR. Bootstraps test frameworks if you don't have one. One command. 同步主分支，运行测试，审计覆盖率，推送，打开PR。如果没有测试框架，则自动启动。一个命令。
/browse：QA Engineer Give the agent eyes. Real Chromium browser, real clicks, real screenshots. ~100ms per command. 给特工一双慧眼。真实的 Chromium 浏览器、真实的点击、真实的屏幕截图。每条命令 ~100ms
/qa：QA Lead Test your app, find bugs, fix them with atomic commits, re-verify. Auto-generates regression tests for every fix. 测试您的应用，找出错误，通过原子提交修复它们，重新验证。为每个修复自动生成回归测试。
/qa-only：QA Reporter 与/qa相同的方法，但仅报告。当您想要一个纯错误报告而不需要代码更改时使用。
/qa-design-review：Designer Who Codes Same audit as /plan-design-review, then fixes what it finds. Atomic commits, before/after screenshots. 审核与 /plan-design-review 相同，然后修正发现的问题。原子提交，前后截图。
/setup-browser-cookies：Eng Manager 具有团队意识的每周回顾。每个人的细分、出货连胜、测试健康趋势、增长机会。
/document-release：Technical Writer Update all project docs to match what you just shipped. Catches stale READMEs automatically. 更新所有项目文档以匹配您刚刚发布的版本。自动捕捉过时的README。
开发工作流 0: enter claude code terminal swtich to plan mode 1: i want to add photo upload for sellers.
2: /plan-ceo-review
"Photo upload" is not the feature. The real job is helping sellers create listings that actually sell. What if we auto-identify the product, pull specs and comps from the web, and draft the listing automatically? That's 10 stars. "Upload a photo" is 3 stars. Which are we building? [8 expansion proposals, you cherry-pick 5, defer 3 to backlog]
3: /plan-design-review
Design Score: B | AI Slop Score: C "Upload flow looks like a default Bootstrap form." [80-item audit, infers your design system, exports DESIGN.md] [flags 3 AI slop patterns: gradient hero, icon grid, uniform radius]
4: /plan-eng-review [ASCII diagrams for every data flow, state machine, error path] [14-case test matrix, 6 failure modes mapped, 3 security concerns]
5: Approve plan. Exit plan mode. [Claude writes 2,400 lines across 11 files — models, services, controllers, views, migrations, and tests. ~8 minutes.]
6: review Claude: [AUTO-FIXED] Orphan S3 cleanup on failed upload [AUTO-FIXED] Missing index on listings.status [ASK] Race condition on hero image selection → You: yes [traces every new enum value through all switch statements] 3 issues — 2 auto-fixed, 1 fixed.
7: /qa https://staging.myapp.com （你的本地服务） Claude: [opens real browser, logs in, uploads photos, clicks through flows] Upload → classify → enrich → draft: end to end ✓ Mobile: ✓ | Slow connection: ✓ | Bad image: ✓ [finds bug: preview doesn't clear on second upload — fixes it] Regression test generated.
8：/ship Claude: Tests: 42 → 51 (+9 new) Coverage: 14/14 code paths (100%) PR: github.com/you/app/pull/42
#ai开发工作流
