gstack-workflow-assistant

aradotso/trending-skills · updated Apr 8, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/aradotso/trending-skills --skill gstack-workflow-assistant
0 commentsdiscussion
summary

Skill by ara.so — Daily 2026 Skills collection

skill.md

gstack Workflow Assistant

Skill by ara.so — Daily 2026 Skills collection

Transform Claude Code from a generic assistant into a team of specialists you can summon on demand. Eight opinionated workflow skills that act as CEO, Engineering Manager, Release Manager, and QA Engineer with slash commands for planning, review, shipping, and testing.

What It Does

gstack provides specialized AI personas and workflows:

  • CEO Review: Rethink problems and find the 10-star product hiding in requests
  • Engineering Planning: Lock in architecture, data flow, and edge cases
  • Code Review: Paranoid staff engineer-level review that catches production bugs
  • Release Management: One-command shipping with tests and PR creation
  • QA Testing: Automated browser testing with screenshots and systematic coverage
  • Browser Automation: Give AI eyes to click through your app and catch breakage
  • Session Management: Import real browser cookies for authenticated testing
  • Team Retrospectives: Engineering manager-style retros with per-person insights

Installation

Requirements

Global Installation

git clone https://github.com/garrytan/gstack.git ~/.claude/skills/gstack
cd ~/.claude/skills/gstack
./setup

Project Installation

cp -Rf ~/.claude/skills/gstack .claude/skills/gstack
rm -rf .claude/skills/gstack/.git
cd .claude/skills/gstack
./setup

Add to your CLAUDE.md:

## gstack
Use /browse skill from gstack for all web browsing. Never use mcp__claude-in-chrome__* tools.

Available skills:
- /plan-ceo-review - Product strategy review
- /plan-eng-review - Technical architecture planning  
- /review - Thorough code review
- /ship - One-command branch shipping
- /browse - Browser automation and testing
- /qa - Systematic QA testing
- /setup-browser-cookies - Session management
- /retro - Engineering retrospectives

Core Commands

Planning Workflows

CEO Product Review

// Start with feature description, then review strategy
You: I want to add seller photo upload to the listing app

You: /plan-ceo-review
// AI responds as CEO: challenges assumptions, finds bigger opportunity
// "Photo upload" → "AI-powered listing creation from photos"

Engineering Architecture Review

You: /plan-eng-review
// AI responds as tech lead:
// - Architecture diagrams
// - State machines
// - Async job boundaries  
// - Failure modes
// - Test matrices

Code Quality Workflows

Thorough Code Review

You: /review
// Paranoid staff engineer review:
// - Race conditions
// - Trust boundaries
// - Missing error handling
// - Production failure modes

One-Command Shipping

You: /ship
// Automated release process:
// 1. Sync main branch
// 2. Run test suite
// 3. Resolve review comments
// 4. Push branch
// 5. Open pull request

QA and Testing Workflows

Browser Automation

You: /browse https://myapp.com
// AI navigates your app:
// - Takes screenshots
// - Clicks through workflows
// - Identifies breakage
// - Tests responsive design

Systematic QA Testing

You: /qa
// Branch-aware testing:
// - Analyzes git diff
// - Identifies affected pages
// - Tests localhost:3000
// - Full exploration mode
// - Regression testing

You: /qa https://staging.myapp.com --quick
// Quick smoke test: 5 pages in 30 seconds

Session Management

You: /setup-browser-cookies staging.myapp.com
// Imports cookies from real browser (Chrome, Arc, Brave, Edge)
// Enables testing authenticated pages without manual login

Team Workflows

Engineering Retrospectives

You: /retro
// Engineering manager-style retro:
// - Analyzes git history
// - Per-person contributions
// - Growth opportunities
// - Team dynamics
// - Saves to .context/retros/

Configuration

Browser Settings

gstack creates isolated browser instances in .gstack/ directory:

// Automatic browser configuration
{
  userDataDir: '.gstack/browser-data',
  headless: false, // for debugging
  viewport: { width: 1280, height: 720 },
  timeout: 30000
}

Project Structure

your-project/
├── .claude/
│   └── skills/
│       └── gstack/
│           ├── skills/           # Workflow prompts
│           ├── browse/           # Browser automation
│           └── package.json
├── .gstack/                      # Browser data (gitignored)
│   ├── browser-data/
│   └── screenshots/
└── .context/
    └── retros/                   # Retrospective history

Integration Patterns

Multi-Session Workflow

Use Conductor for parallel sessions:

// Session 1: Feature development
You: /plan-ceo-review
You: /plan-eng-review
// [implement feature]

// Session 2: Code review
You: /review
// [fix issues]

// Session 3: QA testing  
You: /qa --full

// Session 4: Release
You: /ship

CI/CD Integration

# .github/workflows/gstack-qa.yml
name: gstack QA
on: [pull_request]
jobs:
  qa:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      - run: cd .claude/skills/gstack && ./setup
      - run: echo "/qa --regression" | claude-code

Team Onboarding

# Add to team docs
## Development Workflow
1. `/plan-ceo-review` - Validate product direction
2. `/plan-eng-review` - Lock architecture  
3. Implement feature
4. `/review` - Paranoid code review
5. `/qa` - Test branch thoroughly
6. `/ship` - One-command release
7. `/qa staging.app.com` - Staging verification

Advanced Usage

Custom QA Scenarios

// Feature-specific testing
You: /qa --focus=checkout-flow
You: /qa --mobile-only
You: /qa --accessibility

// Performance testing
You: /browse https://app.com
// Then: "Run lighthouse audit on this page"

Cross-Browser Testing

// Test in multiple browsers
You: /setup-browser-cookies app.com
You: /browse app.com --browser=chrome
// [switch session]
You: /browse app.com --browser=firefox

Regression Testing

// Before major changes
You: /qa --baseline
// [make changes]  
You: /qa --compare-baseline
// AI identifies visual/functional regressions

Troubleshooting

Binary Issues

# Rebuild browser automation binary
cd .claude/skills/gstack
rm -rf browse/dist
./setup

Permission Errors

# Fix executable permissions
cd .claude/skills/gstack
chmod +x setup browse/dist/browse

Missing Dependencies

# Reinstall Node dependencies
cd .claude/skills/gstack
rm -rf node_modules
bun install

Browser Automation Failures

// Debug browser issues
You: /browse --debug
// Runs browser in non-headless mode for inspection

// Clear browser data
rm -rf .gstack/browser-data

Skill Registration Issues

how to use gstack-workflow-assistant

How to use gstack-workflow-assistant on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add gstack-workflow-assistant
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/aradotso/trending-skills --skill gstack-workflow-assistant

The skills CLI fetches gstack-workflow-assistant from GitHub repository aradotso/trending-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/gstack-workflow-assistant

Reload or restart Cursor to activate gstack-workflow-assistant. Access the skill through slash commands (e.g., /gstack-workflow-assistant) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.761 reviews
  • Hana Gonzalez· Dec 28, 2024

    Solid pick for teams standardizing on skills: gstack-workflow-assistant is focused, and the summary matches what you get after install.

  • Valentina Park· Dec 20, 2024

    We added gstack-workflow-assistant from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Jin Menon· Dec 16, 2024

    I recommend gstack-workflow-assistant for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Jin Abbas· Dec 12, 2024

    gstack-workflow-assistant has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Hana Chawla· Dec 12, 2024

    Keeps context tight: gstack-workflow-assistant is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Jin Rahman· Nov 19, 2024

    Solid pick for teams standardizing on skills: gstack-workflow-assistant is focused, and the summary matches what you get after install.

  • Liam Sanchez· Nov 11, 2024

    gstack-workflow-assistant reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Jin Yang· Nov 7, 2024

    Keeps context tight: gstack-workflow-assistant is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Hana Perez· Nov 7, 2024

    gstack-workflow-assistant has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Henry Verma· Nov 3, 2024

    I recommend gstack-workflow-assistant for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

showing 1-10 of 61

1 / 7