Pipeline run

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          "display_name": "Java Backend Developer",
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          "display_name": "PHP Backend Developer",
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        "rationale": "On-device storage used for caching, offline support, and durable client state. This cluster is coherent because iOS apps often need to preserve user progress and data when connectivity is limited.",
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      "input_skill": "Room",
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          "slug": "android-engineer",
          "source": "db"
        },
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          "display_name": "Flutter Developer",
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          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "flutter-developer",
          "source": "db"
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          "display_name": "Hybrid Mobile Developer",
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          "rationale": null,
          "role_archetype": null,
          "slug": "hybrid-mobile-developer",
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          "display_name": "Native Mobile Developer",
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          "rationale": null,
          "role_archetype": "Engineering",
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          "source": "db"
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        {
          "display_name": "React Native Developer",
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          "slug": "react-native-developer",
          "source": "db"
        },
        {
          "display_name": "iOS Developer",
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          "rationale": null,
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          "slug": "ios-engineer",
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        "display_name": "Pega Programming Languages \u0026 DSLs",
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        "rationale": "Programming languages and domain-specific languages used in Pega development.",
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        "source": "db"
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        "rationale": "Oversee and guide the selection and effective use of programming and domain\u2010specific languages in software projects.",
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        "source": "db"
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        "rationale": "Languages used to implement data pipelines, transformations, and operational glue. This is the primary coding surface for building ingestion, enrichment, and automation logic in data engineering.",
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        "source": "db"
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    },
    {
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        "difficulty_hint": "well_known",
        "display_name": "Kotlin and Java",
        "id": 161,
        "rationale": "Primary implementation languages for Android app features, platform integration, and client-side business logic. Android engineers use these languages to build screens, state flows, service adapters, and device-aware behavior.",
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      "roles_from_db": [
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          "display_name": "Android Developer",
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          "rationale": null,
          "role_archetype": null,
          "slug": "android-engineer",
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    {
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        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
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        "roles_from_db": [
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          "rationale": "Programming techniques for handling concurrent requests, asynchronous I/O, and coordination of background execution in Python services. This cluster is coherent because backend developers must safely manage throughput and responsiveness.",
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          "rationale": "Frameworks and component models used to build Android screens, layouts, and interactive UI behavior. This cluster covers both modern declarative UI and legacy view-based interfaces that Android engineers maintain in real products.",
          "slug": "android-ui-frameworks",
          "source": "db"
        },
        "dimension_id": 162,
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        "matched_chosen_role": true,
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            "slug": "android-engineer",
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          {
            "display_name": "Native Mobile Developer",
            "id": 75,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "native-mobile-developer",
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          "rationale": "Structural patterns used to organize iOS code into testable, maintainable feature modules and layers. iOS engineers use these patterns to separate UI, state, and service integration concerns.",
          "slug": "app-architecture-and-dependency-injection",
          "source": "db"
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        "dimension_id": 94,
        "input_skill": "MVVM",
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        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
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            "display_name": "Android Developer",
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            "slug": "android-engineer",
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            "slug": "ios-engineer",
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        "skill_dimension_saved": true,
        "skill_id": 504,
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          "rationale": "Structural patterns used to organize shared mobile code into maintainable modules, layers, and feature boundaries. Senior hybrid developers often own these patterns to keep cross-platform code testable and adaptable to platform exceptions.",
          "slug": "mobile-architecture-and-code-organization",
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        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
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        "roles_from_db": [
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            "display_name": "Hybrid Mobile Developer",
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            "display_name": "React Native Developer",
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          "display_name": "Native Mobile App Architecture and Dependency Injection",
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          "rationale": "Structural patterns for organizing native mobile application code into maintainable, testable modules, layers, and feature boundaries. This includes app architecture patterns such as MVVM, MVC, MVI, VIPER, and Clean Architecture; dependency injection frameworks and patterns such as Hilt, Dagger, and Koin; and code organization techniques such as modularization, feature modules, repository pattern, and use-case layering to separate UI, state, data, and platform concerns across a growing codebase.",
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        "matched_chosen_role": true,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension saved",
        "role_dimension_saved": true,
        "roles_from_db": [
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          "rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
          "slug": "d_init_01",
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        "dimension_id": 96,
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        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
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          "rationale": "Systems used to define, run, and maintain automated build and deployment workflows. This cluster is coherent because the role owns delivery automation end to end, including pipeline reliability and promotion logic.",
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        "input_skill": "CI/CD",
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        "roles_from_db": [
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            "display_name": "DevOps Engineer",
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        "skill_dimension_saved": true,
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        "chosen_role_id": 75,
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        "dimension_id": 56,
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        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
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            "display_name": "ML Engineer",
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            "slug": "ml-engineer",
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        ],
        "skill_dimension_saved": true,
        "skill_id": 1190,
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        "chosen_role_id": 75,
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          "id": 83,
          "rationale": "Patterns for moving users through app flows and keeping client state consistent across screens, refreshes, and app transitions. This is central to feature work because iOS engineers own the in-app request flow and UI logic.",
          "slug": "screen-navigation-and-state",
          "source": "db"
        },
        "dimension_id": 83,
        "input_skill": "ViewModel",
        "llm_role": null,
        "matched_chosen_role": true,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension saved",
        "role_dimension_saved": true,
        "roles_from_db": [
          {
            "display_name": "Android Developer",
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            "rationale": null,
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            "slug": "android-engineer",
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          {
            "display_name": "Flutter Developer",
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            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "flutter-developer",
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          {
            "display_name": "Fullstack Developer",
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            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "fullstack-developer",
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          {
            "display_name": "Fullstack Developer",
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            "display_name": "Ionic Developer",
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            "rationale": null,
            "role_archetype": null,
            "slug": "ionic-developer",
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            "display_name": "Native Mobile Developer",
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            "slug": "native-mobile-developer",
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            "display_name": "React Native Developer",
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        "skill_dimension_saved": true,
        "skill_id": 924,
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          "rationale": "On-device storage used for caching, offline support, and durable client state. This cluster is coherent because iOS apps often need to preserve user progress and data when connectivity is limited.",
          "slug": "local-persistence-and-offline-behavior",
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        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension saved",
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        "roles_from_db": [
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            "display_name": "Android Developer",
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            "slug": "android-engineer",
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        "chosen_role_id": 75,
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          "difficulty_hint": "well_known",
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          "id": 267,
          "rationale": "Programming languages and domain-specific languages used in Pega development.",
          "slug": "pega-programming-languages-dsls",
          "source": "db"
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        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
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        "roles_from_db": [
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            "display_name": "Pega Developer",
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        "skill_id": 101,
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        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Engineering Manager",
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        "skill_dimension_saved": true,
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      {
        "chosen_role_id": 75,
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          "display_name": "Programming Languages for Data Work",
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          "rationale": "Languages used to implement data pipelines, transformations, and operational glue. This is the primary coding surface for building ingestion, enrichment, and automation logic in data engineering.",
          "slug": "programming-languages-for-data-work",
          "source": "db"
        },
        "dimension_id": 21,
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        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
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            "display_name": "Data Engineer",
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        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
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            "display_name": "Android Developer",
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        "input_skill": "GitHub",
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        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
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            "display_name": "DevOps Engineer",
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        ],
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      {
        "chosen_role_id": 75,
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          "difficulty_hint": "well_known",
          "display_name": "CI/CD for Machine Learning",
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          "rationale": "Tools and platforms for automating ML model integration, testing, and deployment pipelines.",
          "slug": "ci-cd-for-machine-learning",
          "source": "db"
        },
        "dimension_id": 56,
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        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
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            "display_name": "ML Engineer",
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