gpd-release-flow

rudrankriyam/app-store-connect-cli-skills · updated Apr 8, 2026

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$npx skills add https://github.com/rudrankriyam/app-store-connect-cli-skills --skill gpd-release-flow
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summary

Use this skill when you need to upload a build, publish to a track, or manage rollout.

skill.md

Release flow (Google Play)

Use this skill when you need to upload a build, publish to a track, or manage rollout.

Preconditions

  • Ensure credentials are set (GPD_SERVICE_ACCOUNT_KEY).
  • Use a new version code for each upload.
  • Always pass --package explicitly.

Preferred end-to-end commands

Upload and release to a track

gpd publish upload app.aab --package com.example.app
gpd publish release --package com.example.app --track internal --status completed

Promote between tracks

gpd publish promote --package com.example.app --from-track beta --to-track production

Manual sequence with edit lifecycle

Use when you need precise control or multiple changes in one commit.

# 1. Create edit
EDIT_ID=$(gpd publish edit create --package com.example.app | jq -r '.data.editId')

# 2. Upload build without auto-commit
gpd publish upload app.aab --package com.example.app --edit-id $EDIT_ID --no-auto-commit

# 3. Configure release
gpd publish release --package com.example.app --track internal --status draft --edit-id $EDIT_ID

# 4. Validate and commit
gpd publish edit validate $EDIT_ID --package com.example.app
gpd publish edit commit $EDIT_ID --package com.example.app

Staged rollout

gpd publish release --package com.example.app --track production --status inProgress --version-code 123
gpd publish rollout --package com.example.app --track production --percentage 5
gpd publish rollout --package com.example.app --track production --percentage 50
gpd publish rollout --package com.example.app --track production --percentage 100

Halt or rollback

gpd publish halt --package com.example.app --track production --confirm
gpd publish rollback --package com.example.app --track production --confirm

Track status

gpd publish status --package com.example.app --track production
gpd publish tracks --package com.example.app

Notes

  • Use --status draft first for risky releases.
  • Use --confirm only after reviewing gpd publish status output.
how to use gpd-release-flow

How to use gpd-release-flow 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 gpd-release-flow
2

Execute installation command

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

$npx skills add https://github.com/rudrankriyam/app-store-connect-cli-skills --skill gpd-release-flow

The skills CLI fetches gpd-release-flow from GitHub repository rudrankriyam/app-store-connect-cli-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/gpd-release-flow

Reload or restart Cursor to activate gpd-release-flow. Access the skill through slash commands (e.g., /gpd-release-flow) 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

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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

4.446 reviews
  • Yusuf Mensah· Dec 24, 2024

    Useful defaults in gpd-release-flow — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Maya Choi· Dec 12, 2024

    gpd-release-flow reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Yusuf Perez· Dec 12, 2024

    gpd-release-flow is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Anika Brown· Dec 8, 2024

    gpd-release-flow has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Tariq Zhang· Nov 27, 2024

    gpd-release-flow fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Hiroshi Kapoor· Nov 15, 2024

    Registry listing for gpd-release-flow matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Maya Thomas· Nov 3, 2024

    I recommend gpd-release-flow for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Maya Verma· Oct 22, 2024

    Useful defaults in gpd-release-flow — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Sophia Sharma· Oct 18, 2024

    We added gpd-release-flow from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Camila Jackson· Oct 6, 2024

    gpd-release-flow reduced setup friction for our internal harness; good balance of opinion and flexibility.

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