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curiositech/windags-skills

App Store and Google Play submission automator with Fastlane, screenshot automation, metadata management, and TestFlight/internal testing. Activate on: app store submission, Fastlane, TestFlight, Google Play Console, screenshot automation, metadata management, app review, code signing, provisioning profiles. NOT for: CI/CD pipeline setup (use github-actions-pipeline-builder), app architecture (use react-native-architect), analytics (use mobile-analytics-crash-reporting-expert).

windags-skills 是什麼?

windags-skills is a Claude Code agent skill that app Store and Google Play submission automator with Fastlane, screenshot automation, metadata management, and TestFlight/internal testing. Activate on: app store submission, Fastlane, TestFlight, Google Play Console, screenshot automation, metadata management, app review, code signing, provisioning profiles. NOT for: CI/CD pipeline setup (use github-actions-pipeline-builder), app architecture (use react-native-architect), analytics (use mobile-analytics-crash-reporting-expert).

相容平台~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/curiositech/windags-skills/tree/HEAD/skills/app-store-submission-automator

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說明文件

App Store Submission Automator

Expert in automating App Store and Google Play submissions with Fastlane, screenshot generation, metadata management, and review optimization.

Decision Points

When to Use Staged vs Full Rollout

IF first app version OR major feature changes:
  └── Use staged rollout: 10% → 50% → 100% over 7 days
      └── Monitor crash rates and user feedback at each stage
ELSE IF hotfix or minor update:
  └── IF critical security fix:
      └── Full rollout immediately
  ELSE:
      └── Use 50% → 100% over 2-3 days

Certificate Renewal Decision Matrix

ScenarioDays Until ExpiryAction
Distribution cert< 30 daysRun fastlane match nuke distribution, then regenerate
Development cert< 30 daysRun fastlane match nuke development
Provisioning profile< 14 daysRun match with force_for_new_devices: true
Push cert< 30 daysRegenerate in Apple Developer Portal, update server

Submission Type Selection

IF internal testing needed:
  ├── iOS: Use TestFlight external groups (up to 10,000 testers)
  └── Android: Use internal track (up to 100 testers)
ELSE IF public beta:
  ├── iOS: Use TestFlight public link
  └── Android: Use closed track with opt-in URL
ELSE IF production ready:
  ├── Check if all store requirements met (see Quality Gates)
  └── Use production/release track

Failure Modes

Match Credential Mismatch

  • Symptom: "No certificate found" or "Profile doesn't match certificate"
  • Diagnosis: Git repo out of sync or team member generated certs manually
  • Fix: Run fastlane match nuke, regenerate all certificates, commit to match repo

App Review Rejection - Missing Info

  • Symptom: "We need additional information to review your app"
  • Diagnosis: Missing demo credentials, contact info, or review notes
  • Fix: Add demo_user.txt, demo_password.txt, and detailed notes.txt in fastlane/metadata/review_information/

Build Timeout on Large Apps

  • Symptom: Fastlane times out during build_app step
  • Diagnosis: App size > 2GB or complex build process
  • Fix: Add build_timeout: 7200 to build_app action, enable incremental builds

Screenshot Generation Fails

  • Symptom: snapshot/screengrab produces blank or incorrect screenshots
  • Diagnosis: UI tests not waiting for animations or using wrong simulators
  • Fix: Add explicit waits in UI tests, verify simulator names match Snapfile device list

Metadata Character Limit Exceeded

  • Symptom: Upload fails with "Description too long" error
  • Diagnosis: Localized metadata exceeds platform limits (App Store: 4000 chars, Play Store: 4000 chars)
  • Fix: Run fastlane precheck before submission, trim descriptions to platform limits

Worked Example

Scenario: Setting up automated submission for a React Native app with iOS and Android targets

Initial Assessment:

  • App has existing manual submission process
  • Team of 4 developers needs shared code signing
  • Requirement for staged rollouts and screenshot automation

Step 1: Setup Decision

# In project root
fastlane init
# Choose option 4 (Manual setup)

Decision Point Hit: Certificate management strategy

  • Novice choice: Use Xcode automatic signing (fails in CI)
  • Expert choice: Setup match for team-wide certificate sharing

Step 2: Configure Match

# fastlane/Matchfile
git_url("https://github.com/company/certificates")
storage_mode("git")
type("appstore") # Also supports: development, adhoc

Step 3: Create Lanes (Key Decision: Beta vs Production)

# fastlane/Fastfile
desc "TestFlight submission with build number increment"
lane :beta do
  setup_ci if ENV['CI']
  match(type: "appstore", readonly: true)
  
  # Decision: Always increment build, version only for releases
  increment_build_number(build_number: ENV['BUILD_NUMBER'])
  
  build_app(workspace: "ios/MyApp.xcworkspace", scheme: "MyApp")
  upload_to_testflight(skip_waiting_for_build_processing: true)
end

Expert Insight: Always use skip_waiting_for_build_processing: true in CI to avoid timeouts

Step 4: Validation Before First Run

  • Run fastlane precheck to validate metadata
  • Test on single device before full screenshot automation
  • Verify CI environment has correct Xcode version

Result: Automated pipeline reducing submission time from 45 minutes to 8 minutes

Quality Gates

Pre-submission checklist that must pass before running production lanes:

  • fastlane precheck passes without warnings
  • All required metadata files exist in fastlane/metadata/[locale]/
  • Screenshots generated for all required device sizes (iPhone 6.9", 6.3", iPad 13")
  • Version number incremented from previous release
  • Build number is unique and higher than TestFlight latest
  • Code signing certificates valid for >30 days
  • Demo credentials provided in review_information/ (if app requires login)
  • Staged rollout percentage configured (recommend starting at 10%)
  • CI environment variables set: FASTLANE_USER, MATCH_PASSWORD, FASTLANE_SESSION
  • All localizations complete for target markets
  • App Icon and required assets present in correct formats

NOT-FOR Boundaries

Do NOT use this skill for:

  • CI/CD Pipeline Setup → Use github-actions-pipeline-builder instead

    • This skill assumes CI exists; doesn't create workflows/pipelines
  • App Architecture Decisions → Use react-native-architect instead

    • This skill handles deployment, not code structure or navigation
  • Analytics and Crash Reporting → Use mobile-analytics-crash-reporting-expert instead

    • This skill focuses on store submission, not post-release monitoring
  • App Store Optimization (ASO) → Use dedicated ASO specialist

    • This skill handles technical submission, not keyword optimization or conversion
  • Backend API Development → Use api-architect instead

    • This skill assumes your app backend is ready for production

When to delegate:

  • For build configuration issues → react-native-architect
  • For CI/CD setup from scratch → github-actions-pipeline-builder
  • For app performance monitoring → mobile-analytics-crash-reporting-expert

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

curiositech/windags-skills

Expert in 2000s-era music visualization (Milkdrop, AVS, Geiss) and modern WebGL implementations. Specializes in Butterchurn integration, Web Audio API AnalyserNode FFT data, GLSL shaders for audio-reactive visuals, and psychedelic generative art. Activate on "Milkdrop", "music visualization", "WebGL visualizer", "Butterchurn", "audio reactive", "FFT visualization", "spectrum analyzer". NOT for simple bar charts/waveforms (use basic canvas), video editing, or non-audio visuals.

curiositech/windags-skills

Expert legal research agent for finding and scraping expungement data state by state. Knows authoritative sources, URL patterns, Firecrawl configuration, and 2026 legal landscape.

curiositech/windags-skills

Expert in 3D computer vision labeling tools, workflows, and AI-assisted annotation for LiDAR, point clouds, and sensor fusion. Covers SAM4D/Point-SAM, human-in-the-loop architectures, and vertical-specific training strategies. Activate on '3D labeling', 'point cloud annotation', 'LiDAR labeling', 'SAM 3D', 'SAM4D', 'sensor fusion annotation', '3D bounding box', 'semantic segmentation point cloud'. NOT for 2D image labeling (use clip-aware-embeddings), general ML training (use ml-engineer), video annotation without 3D (use computer-vision-pipeline), or VLM prompt engineering (use prompt-engineer).

curiositech/windags-skills

Implement WCAG 2.2 AA/AAA compliance with automated testing, keyboard navigation, screen reader support, and focus management. Activate on: accessibility audit, WCAG compliance, keyboard navigation, screen reader, aria attributes, axe-core, focus trap. NOT for: design-level accessibility review (use design-accessibility-auditor), color contrast only (use css-in-js-architect).

curiositech/windags-skills

Time-blind friendly planning, executive function support, and daily structure for ADHD brains. Specializes in realistic time estimation, dopamine-aware task design, and building systems that actually work for neurodivergent minds.

curiositech/windags-skills

Designs digital experiences for ADHD brains using neuroscience research and UX principles. Expert in reducing cognitive load, time blindness solutions, dopamine-driven engagement, and compassionate design patterns. Activate on 'ADHD design', 'cognitive load', 'accessibility', 'neurodivergent UX', 'time blindness', 'dopamine-driven', 'executive function'. NOT for general accessibility (WCAG only), neurotypical UX design, or simple UI styling without ADHD context.

curiositech/windags-skills

>- Apply crisis decision-making research to agent routing, uncertainty triage, and coordination failure analysis in time-pressured systems. Use when diagnosing handoff failures, analytical paralysis, or expert judgment under incomplete information. NOT for routine coding, simple CRUD design, or static single-agent tasks with complete information.

curiositech/windags-skills

Extend and modify the admin dashboard, developer portal, and operations console. Use when adding new admin tabs, metrics, monitoring features, or internal tools. Activates for dashboard development, analytics, user management, and internal tooling.

curiositech/windags-skills

Conversation patterns and interaction protocols for multi-agent systems. Covers request/response, pub/sub, blackboard, delegation chains, debate, critique, consensus, fan-out/fan-in, supervisor-worker, and peer negotiation. Deep analysis of AutoGen conversation patterns, CrewAI delegation, LangGraph state passing, and FIPA-ACL performatives. Teaches how to design what agents say to each other and in what order. Activate on: "agent conversation", "agent protocol", "multi-agent debate", "agent delegation", "supervisor worker pattern", "agent voting", "consensus protocol", "fan-out fan-in", "agent negotiation", "blackboard pattern", "agent dialogue", "conversation topology", "agent handoff". NOT for: wire format or serialization (use agent-interchange-formats), orchestration infrastructure (use agentic-infrastructure-2026), single agent behavior (use agentic-patterns).

curiositech/windags-skills

Meta-agent for creating new custom agents, skills, and MCP integrations. Expert in agent design, MCP development, skill architecture, and rapid prototyping. Activate on 'create agent', 'new skill', 'MCP server', 'custom tool', 'agent design'. NOT for using existing agents (invoke them directly), general coding (use language-specific skills), or infrastructure setup (use deployment-engineer).

curiositech/windags-skills

AI-powered calendar management and agent-based scheduling coordination. Covers calendar APIs (Google Calendar, CalDAV/iCal), AI scheduling assistants (Reclaim, Clockwise, Motion, Cal.com), building custom calendar agents with MCP, multi-calendar merging, timezone management, focus block protection, meeting fatigue detection, and agent-to-agent meeting negotiation protocols. Activate on: "calendar agent", "AI scheduling", "calendar coordination", "meeting scheduling", "calendar API", "focus time protection", "calendar optimization", "Google Calendar MCP", "Reclaim", "Clockwise", "Motion", "Cal.com", "smart scheduling", "calendar-aware agent", "timezone scheduling", "agent negotiation meetings". NOT for: manual calendar UI component design (use form-validation-architect), project management scheduling or Gantt charts (use project-management-guru-adhd), general time-tracking or pomodoro apps (use adhd-daily-planner for time-awareness), building the agent itself from scratch (use agent-creator).

curiositech/windags-skills

Build and adopt production AI agent infrastructure in 2026. Covers framework selection (LangGraph, CrewAI, AutoGen, MCP), orchestration patterns, evaluation, observability, memory systems, and tool use. Also covers the SOCIAL dimension: how to sell agent infrastructure internally, change management, measuring ROI, building trust in autonomous systems, and scaling adoption across teams. Activate on: "agent infrastructure", "agent framework comparison", "which agent framework", "sell AI tools internally", "agent adoption", "agent observability", "agent evaluation", "MCP architecture", "agentic mesh", "enterprise AI agents", "AI change management", "agent ROI". NOT for: building specific agents (use ai-engineer), designing agent behavior patterns (use agentic-patterns), prompt tuning (use prompt-engineer).

curiositech/windags-skills

Fundamental patterns for effective agentic behavior. Teaches decomposition, tool orchestration, error recovery, context management, quality self-assessment, and knowing when to stop. Model-agnostic principles that make any agent more effective regardless of domain. Activate on: "how should I structure this agent", "agentic workflow", "agent patterns", "multi-step task", "tool orchestration", "/agentic-patterns", "decompose this", "agent best practices", "chain of actions", "when should the agent stop", "agent loop design". NOT for: creating agent infrastructure (use agent-creator), building DAGs (use windags-architect), specific tool implementation.

curiositech/windags-skills

Automated discovery and matching of agent skills for dynamic task routing and capability assessment

curiositech/windags-skills

Cryptographic security for agentic systems — zero-trust agent networking, signed message envelopes (JWS/JWE), capability-based security (ocaps), Merkle tree audit trails, WASM sandboxing, and formal verification. Covers CLI dev tool security, mTLS between agents, permission boundaries (least privilege for AI agents), and supply chain security for skills/plugins. Activate on: "agent security", "zero trust agents", "secure agent communication", "capability-based security", "ocap", "signed messages between agents", "agent audit trail", "sandbox agent execution", "agent permissions", "mTLS agents", "cryptographic verification", "agent supply chain", "OWASP agentic", "prove agent did X", "tamper-proof agent logs". NOT for: application-level SAST scanning (use security-auditor), network firewall rules (use infrastructure), SOC2/HIPAA compliance (organizational), or prompt injection defense (use prompt-engineer).

curiositech/windags-skills

Data structures and serialization formats for agent-to-agent communication. Covers message envelopes, structured output schemas, capability declarations, task handoff payloads, error/retry signaling, and context windows as data structures. Deep comparison of A2A protocol, MCP, OpenAI function calling, and LangChain message types. Teaches when to use rigid schemas vs free-form with validation, typed vs untyped, streaming vs batch. Activate on: "agent message format", "agent communication schema", "agent-to-agent protocol", "A2A protocol", "MCP message format", "structured output for agents", "agent interop", "interchange format", "agent serialization", "task handoff format", "capability declaration". NOT for: what agents say to each other (use agent-conversation-protocols), orchestration topology (use multi-agent-coordination), building agent infrastructure (use agentic-infrastructure-2026).

curiositech/windags-skills

Logic-based agent programming language implementing BDI architecture for practical autonomous agent development

curiositech/windags-skills

>- Design AgentSpeak(L)-style BDI agents with context-guarded plans, selection functions, and intention stacks. Use for interruptible autonomy, agent policy, and multi-agent orchestration in dynamic environments. NOT for simple rule engines, static planners, or centralized workflows.

curiositech/windags-skills

Foundational concurrent computation model where actors communicate exclusively through asynchronous message passing

curiositech/windags-skills

license: Apache-2.0 NOT for unrelated tasks outside this domain.

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