gpd-submission-health

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-submission-health
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summary

Use this skill to reduce Play Console submission failures and validate readiness.

skill.md

GPD Submission Health

Use this skill to reduce Play Console submission failures and validate readiness.

Preconditions

  • Auth configured and package name resolved.
  • Build uploaded and available for the target track.
  • Store listing metadata and assets updated.

Pre-submission checklist

1. Validate edit (if using edit lifecycle)

gpd publish edit validate EDIT_ID --package com.example.app

2. Confirm release status

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

Check:

  • Release status is expected (draft, inProgress, or completed).
  • Version code matches the uploaded build.

3. Verify store listing metadata

gpd publish listing get --package com.example.app
gpd publish details get --package com.example.app

4. Verify screenshots and assets

gpd publish images list phoneScreenshots --package com.example.app --locale en-US
gpd publish assets spec

5. Upload deobfuscation mapping (if needed)

gpd publish deobfuscation upload mapping.txt --package com.example.app --type proguard --version-code 123

Submit to production

gpd publish release --package com.example.app --track production --status inProgress --version-code 123

Common submission issues

Release not in valid state

Check:

  1. Version code uploaded and attached to the track.
  2. Edit validation passes.
  3. Required store listing fields present for all locales.

Missing screenshots or assets

Use:

gpd publish images list phoneScreenshots --package com.example.app --locale en-US
gpd publish images upload icon icon.png --package com.example.app --locale en-US

Policy declarations not complete

Some policy/compliance items must be completed in Play Console UI. Confirm in the console if CLI operations pass but submission is blocked.

Notes

  • Use gpd publish edit validate before committing large changes.
  • Use --dry-run where available before destructive actions.
how to use gpd-submission-health

How to use gpd-submission-health 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-submission-health
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-submission-health

The skills CLI fetches gpd-submission-health 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-submission-health

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

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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

4.644 reviews
  • Aarav Abebe· Dec 28, 2024

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

  • Liam Garcia· Dec 20, 2024

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

  • Charlotte Huang· Dec 16, 2024

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

  • Charlotte Kim· Dec 12, 2024

    Keeps context tight: gpd-submission-health is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Dhruvi Jain· Dec 8, 2024

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

  • Oshnikdeep· Nov 27, 2024

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

  • Luis Srinivasan· Nov 11, 2024

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

  • Kaira Chen· Nov 7, 2024

    Solid pick for teams standardizing on skills: gpd-submission-health is focused, and the summary matches what you get after install.

  • Luis Jain· Nov 3, 2024

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

  • Isabella Malhotra· Oct 26, 2024

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

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