Works with the AI Agents you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+21 more

    Mobile Release Readiness Architect Skill

    1

    Evidence-based mobile release auditor for evaluating build quality, store metadata, and launch risks.

    $9.99

    Secure checkout via Stripe

    Money-back guarantee

    Converts to your local currency at checkout

    Security scanned
    Mobile Release Readiness Architect Skill

    Mobile Release Readiness Architect Skill

    Example session with this skill installed

    Review the readiness for iOS build 2.4.1. Test coverage is 85% on iPhone 15, but we haven't tested offline mode or iPad. Crash rate is 0.2%. We updated the privacy policy URL.

    • Read your context and instructions
    • Compiled the mobile release readiness

    I have completed the release readiness assessment for iOS Build 2.4.1. The assessment identifies significant gaps in device coverage and functional testing that represent high risks for this version.

    Release Readiness Audit: iOS 2.4.1

    GateStatusFindingBlocking?
    Build GatePASSVersion 2.4.1 identifiers confirmed.No
    Functional GateINSUFFICIENTOffline mode remains untested; critical path risk.Yes
    Stability GatePASS0.2% crash rate meets standard 1.0% threshold.No
    Device GateFAILNo iPad coverage; iPhone 15 only. High fragmentation risk.Yes
    Store GatePARTIALPrivacy URL updated; screenshots for iPad missing.Yes
    Security GateUNKNOWNNo evidence provided for auth or data handling.No

    Risk Register

    Critical: Zero iPad coverage. Impact: High potential for UI breakage on tablet users. Action: Run smoke tests on iPad Air/Pro.

    High: Untested Offline Mode. Impact: App may crash or hang on poor network. Action: Verify local data persistence.

    Medium: Missing Store Assets. Impact: Metadata rejection by Apple Review. Action: Generate 12.9" and 11" screenshots.

    Final Verdict: NOT READY

    The release is blocked by insufficient evidence for tablet devices and critical offline functionality.

    Next steps

    1. Perform a regression pass on at least one iPad model to validate UI scaling.
    2. Provide logs for offline state transitions to clear the Functional Gate.
    3. Upload missing tablet screenshots to the store metadata inventory.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Shipping a mobile app without a rigorous audit often leads to day-one crashes or store rejections. This skill acts as an automated Mobile Release Manager to evaluate your build readiness based on actual evidence.

    What it does

    • Evidence Audit categorizes your test results, crash data, and metadata as confirmed, missing, or stale.
    • Build Review inspects versioning, signing artifacts, feature flags, and permissions for configuration errors.
    • Coverage Analysis maps your testing against OS versions, device classes, and network conditions to find blind spots.
    • Store Validation checks app store metadata, screenshots, and privacy disclosures for platform compliance.
    • Risk Assessment flags critical blockers with impact analysis and recommended remediation steps.
    • Release Gating provides a pass/fail verdict across functional, security, and operational categories.

    How it works

    1. Provide your build details, test reports, crash logs, and store metadata strings.
    2. The agent inventories all evidence to separate facts from assumptions.
    3. It audits the build across stability, security, and operational readiness pillars.
    4. You receive a structured risk register and a release-blocking checklist.

    Frameworks & tools

    Works with any mobile stack including Swift, Kotlin, React Native, Flutter, and Unity. Processes data from Jira, Firebase Crashlytics, TestFlight, and Google Play Console exports.

    Why this beats prompting it yourself

    Generic prompts often hallucinate "all clear" signals when data is missing. This skill is hardcoded to treat "not tested" as a risk rather than a pass, ensuring you never ship on an assumption.

    Use cases

    • Conduct a final "Go/No-Go" meeting review with a structured evidence report.
    • Audit third-party agency deliverables before accepting a build.
    • Screen store metadata for common rejection triggers before submission.
    • Generate a release checklist for stakeholders across engineering and product.

    Known limitations

    Does not perform live code execution or binary analysis. It relies entirely on the logs, reports, and metadata text provided by the developer.

    Relies entirely on provided text/logs; cannot directly access private App Store Connect/Google Play APIs or execute binary files.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

    Reviews

    No reviews yet

    Be one of the first to try it. Every listed skill goes through the trust checks below.

    Security scanned

    Checked by our 8-point scan before listing

    Fresh listing

    Recently published to Agensi

    Money-back guarantee

    Doesn't do what its page promises? You get your money back.

    Trust & safety

    Security scan

    Security scan passed 1 month ago

    Permissions

    No special permissions declared or detected

    Listed1 month ago

    What's inside

    Frequently Asked Questions

    The skill identifies missing test coverage, detects inconsistencies in store metadata, flags configuration errors in feature flags, and prevents "blind spots" by treating missing data as a risk rather than a pass.

    Yes, the architect is platform-agnostic and supports iOS (Swift/Objective-C) and Android (Kotlin/Java) environments, as well as cross-platform frameworks like React Native and Flutter.

    This skill operates on text-based data; you provide it with exports or reports from your tools, such as Firebase crash logs, Jira tickets, and store metadata strings for analysis.

    No, this skill is a specialized logic layer that runs on top of popular LLMs (like GPT-4 or Claude), providing the structured framework needed for rigorous release auditing.

    You receive the specialized skill configuration, a standardized template for providing build evidence, and a guide on interpreting the generated risk registers.

    While it can ingest logs, the skill does not perform live binary analysis or automated UI testing; it acts as an auditor for the data and metadata you have already collected.

    New in Mobile Development