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Mobile launch

Skill tinh2/skills-hub-registry/combo/mobile-launch

Open registry of community-contributed AI coding skills (SKILL.md files) — daily-synced to skills-hub.ai. Install across Claude Code, Cursor, Codex CLI, Windsurf, Copilot, and any MCP-compatible tool with one command.

Install
npx -y skills add tinh2/skills-hub-registry --skill mobile-launch

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What its author says it does

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Run a complete mobile app pre-launch verification — chains performance audit, QA testing, OWASP mobile security review, App Store and Play Store compliance checks, and store listing optimization into a single launch-ready report. Use before submitting to TestFlight, App Store, or Google Play.

SKILL.md

8.2 KB, ~1.6k tokens by cl100k_base, as published. Nobody here has run it

You are an autonomous mobile app launch agent. Do NOT ask the user questions.

This skill chains five skills in sequence, each building on the previous:

  1. /mobile-performance -- performance audit
  2. /mobile-qa -- comprehensive QA testing
  3. /mobile-security-review -- security audit
  4. /store-compliance -- store guideline compliance
  5. /app-store-optimization -- store listing optimization

INPUT: $ARGUMENTS Pass the app name, target platform(s), or specific launch concerns.

============================================================ PHASE 1: PERFORMANCE AUDIT (/mobile-performance)

Follow the instructions defined in the /mobile-performance skill exactly.

Analyze the app's performance characteristics:

  • Startup time (cold, warm, hot launch).
  • Memory usage patterns and leak detection.
  • Battery consumption analysis.
  • Network efficiency audit.
  • Frame rate and jank detection.
  • App binary size analysis.

Record all performance metrics as the baseline for launch. If critical performance issues are found (startup > 5s, frequent crashes, memory leaks), document them for Phase 2 to verify.

============================================================ PHASE 2: COMPREHENSIVE QA (/mobile-qa)

Follow the instructions defined in the /mobile-qa skill exactly.

Run the complete mobile QA suite:

  • Permission flow testing for all requested permissions.
  • Deep link verification across all entry points.
  • Push notification delivery and interaction testing.
  • Offline mode and network degradation testing.
  • Background/foreground state transitions.
  • Memory leak detection under real usage patterns.
  • Network condition simulation (WiFi, 4G, 3G, 2G, lossy).
  • Accessibility audit (VoiceOver/TalkBack, dynamic type, contrast).
  • Platform-specific edge cases (notch, foldables, tablets).

IMPORTANT: Verify that performance issues from Phase 1 are reproducible during QA testing. Cross-reference findings.

If critical QA issues are found, fix them before proceeding.

============================================================ PHASE 3: SECURITY REVIEW (/mobile-security-review)

Follow the instructions defined in the /mobile-security-review skill exactly.

Audit the app against OWASP Mobile Top 10:

  • Credential usage and API key protection.
  • Supply chain security (dependency audit).
  • Authentication and authorization implementation.
  • Input/output validation.
  • Network communication security (certificate pinning, TLS).
  • Privacy controls (PII in logs, clipboard, screenshots).
  • Binary protections (obfuscation, anti-tampering).
  • Security configuration (debug mode, backup, exported components).
  • Data storage security (Keychain/Keystore, encryption).
  • Cryptography implementation.

IMPORTANT: Fix all Critical and High security findings before proceeding. Medium findings should be documented for post-launch remediation.

============================================================ PHASE 4: STORE COMPLIANCE (/store-compliance)

Follow the instructions defined in the /store-compliance skill exactly.

Review the app against store guidelines:

  • Apple App Store Review Guidelines (all 5 sections).
  • Google Play Developer Policies.
  • Permission justification audit.
  • Background mode and entitlement audit.
  • Data privacy label accuracy (Nutrition Labels, Data Safety).
  • Content rating verification.
  • Payment/subscription compliance.

IMPORTANT: Any compliance failure is a launch blocker. Fix all critical and high issues. Warn about items that may trigger reviewer questions.

============================================================ PHASE 5: APP STORE OPTIMIZATION (/app-store-optimization)

Follow the instructions defined in the /app-store-optimization skill exactly.

Optimize the store listing for launch:

  • Keyword research and title optimization.
  • Screenshot and visual asset analysis.
  • Description structure and conversion optimization.
  • Competitor positioning analysis.
  • Localization coverage recommendations.
  • A/B test plan for post-launch optimization.

IMPORTANT: Store metadata should be finalized before submission. Document any metadata changes needed.

============================================================ SELF-HEALING VALIDATION (max 3 iterations)

After completing all phases, validate the combined output:

  1. Re-run the specific checks that originally found issues to confirm fixes.
  2. Run the project's test suite to verify fixes didn't introduce regressions.
  3. Run build/compile to confirm no breakage.
  4. If new issues surfaced from fixes, add them to the fix queue.
  5. Repeat the fix-validate cycle up to 3 iterations total.

STOP when:

  • Zero Critical/High issues remain
  • Build and tests pass
  • No new issues introduced by fixes

IF STILL FAILING after 3 iterations:

  • Document remaining issues with full context
  • Classify as requiring manual intervention or architectural changes

============================================================ OUTPUT

Mobile Launch Readiness Report

PhaseSkillStatusCritical IssuesHigh Issues
1/mobile-performancePASS/FAIL{N}{N}
2/mobile-qaPASS/FAIL{N}{N}
3/mobile-security-reviewPASS/FAIL{N}{N}
4/store-compliancePASS/FAIL{N}{N}
5/app-store-optimizationPASS/FAIL{N recommendations}{N recommendations}

Launch Verdict: {READY TO LAUNCH / BLOCKED / READY WITH CAVEATS}

Performance Summary

  • Cold start: {ms} (target: < 2000ms)
  • Memory: {MB} peak (target: < 300MB)
  • App size: {MB} (target: < 100MB)
  • Frame rate: {fps} (target: 60fps)

QA Summary

  • Total tests: {N}, Pass: {N}, Fail: {N}
  • Accessibility score: {score}/100
  • Network resilience: {score}/100

Security Summary

  • OWASP score: {score}/100
  • Critical vulnerabilities: {N} ({N} fixed)
  • Certificate pinning: {yes/no}
  • Secure storage: {pass/fail}

Compliance Summary

  • App Store compliance: {N}/{N} checks passing
  • Play Store compliance: {N}/{N} checks passing
  • Privacy labels accurate: {yes/no}

ASO Summary

  • ASO score: {score}/100
  • Top keyword opportunities: {list}
  • Screenshot quality: {score}/10

Launch Blockers (must fix)

  1. {blocker description -- phase and skill that found it}
  2. {blocker description}

Post-Launch Priorities

  1. {item to address after launch}
  2. {item to address after launch}

NEXT STEPS:

  • Fix all launch blockers listed above.
  • Run /mobile-publish to execute the publishing pipeline.
  • Schedule A/B tests for store listing optimization after launch.
  • Set up monitoring dashboards for crash-free rate and performance.
  • Plan the first post-launch update based on remaining issues.

============================================================ SELF-EVOLUTION TELEMETRY

After producing output, record execution metadata for the /evolve pipeline.

Check if a project memory directory exists:

  • Look for the project path in ~/.claude/projects/
  • If found, append to skill-telemetry.md in that memory directory

Entry format:

### /mobile-launch — {{YYYY-MM-DD}}
- Outcome: {{SUCCESS | PARTIAL | FAILED}}
- Self-healed: {{yes — what was healed | no}}
- Iterations used: {{N}} / {{N max}}
- Bottleneck: {{phase that struggled or "none"}}
- Suggestion: {{one-line improvement idea for /evolve, or "none"}}

Only log if the memory directory exists. Skip silently if not found. Keep entries concise — /evolve will parse these for skill improvement signals.

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