[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6998DWNHTH0BS6W1CY8ZXMP":3,"skill-same:01M6998DWNHTH0BS6W1CY8ZXMP":184},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":26,"publishedAt":47,"linkOnly":48,"markdownContent":49,"markdownBody":50,"frontMatter":51,"refName":55,"commitSha":56,"skillDirectory":57,"forksCount":58,"repositoryHtmlUrl":59,"repositoryHomepageUrl":6,"ownerHtmlUrl":60,"ownerBlogUrl":61,"ownerDescription":62,"updatedAt":63,"install":64,"resources":77},"01M6998DWNHTH0BS6W1CY8ZXMP","workload-manager-basics",null,"Use this skill to manage Google Cloud Workload Manager evaluations, rules, scanned resources, and validation results by using public client libraries and the REST API. Use when you need to inspect workload best-practice rules, create and run evaluations for Google Cloud general best practices, SAP, SQL Server, or custom organizational rules, review violations, export results to BigQuery, or automate Workload Manager through client libraries because no service-specific public CLI or MCP server is available. Don't use for general Google Compute Engine instance management, VPC configuration, or standard IAM auditing.","google\u002Fskills","google","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F1342004?v=4","01M698VYEFDM0VJBZDYYJ2T83S","Google","01M698WR0H76ENHE587T9EJT89",23830,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fcloud\u002Fworkload-manager-basics\u002FSKILL.md",[18,23],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000010","后端与接口","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,9],"manager","workload manager basics","workload","basics","run","when","inspect","you","resources","api","vpc","iam","server","MCP","create","libraries","mcp server","google cloud","cli","review","2026-11-10 10:12:30",false,"---\nname: workload-manager-basics\nmetadata:\n  version: \"1.0.1\"\n  category: CloudObservabilityAndMonitoring\ndescription: >-\n  Use this skill to manage Google Cloud Workload Manager evaluations, rules,\n  scanned resources, and validation results by using public client libraries\n  and the REST API. Use when you need to inspect workload best-practice rules,\n  create and run evaluations for Google Cloud general best practices, SAP, SQL\n  Server, or custom organizational rules, review violations, export results to\n  BigQuery, or automate Workload Manager through client libraries because no\n  service-specific public CLI or MCP server is available. Don't use for general\n  Google Compute Engine instance management, VPC configuration, or standard IAM\n  auditing.\n---\n\n# Workload Manager Basics\n\nWorkload Manager validates enterprise workloads against Google Cloud best\npractices and recommendations. The public client libraries are centered on\nevaluations: define a resource scope, choose built-in or custom rules, run an\nevaluation, then inspect results and scanned resources.\n\n## Attribution\n\n**MUST READ**: Before executing any `gcloud`, REST API, or MCP command, you\nMUST read [Usage Attribution](references\u002Fattribution.md). For commands executed\ndirectly in the terminal (never in generated scripts, Terraform, or user code),\nprefix `gcloud` with\n`CLOUDSDK_METRICS_REQUEST_ATTRIBUTION=\"agent-skills\u002F1.0 (skill:workload-manager-basics)\"`\nand append `agent-skills\u002F1.0 (skill:workload-manager-basics)` to `User-Agent` headers.\n\n## Use This Flow\n\n```mermaid\nflowchart LR\n    Rules[\"List rules\"] --> Eval[\"Create or update evaluation\"]\n    Resources[\"Project, folder, or org scope\"] --> Eval\n    Eval --> Run[\"Run evaluation\"]\n    Run --> Results[\"Inspect evaluation results\"]\n    Results --> Remediate[\"Remediate findings\"]\n    Results --> Export[\"Optional BigQuery export\"]\n```\n\n## Core API Constraints\n\nTo ensure compatibility, security, and successful integration:\n\n*   **Public Surface Only:** You MUST strictly interact with Workload Manager\n    using the official public `google-cloud-workloadmanager` client library or\n    the public REST API (`workloadmanager.googleapis.com\u002Fv1`).\n*   **No Internal or Undocumented APIs:** Do NOT attempt to use internal RPC\n    protocols, private service backends, or undocumented discovery mechanisms.\n    They are not supported for public integrations and will fail.\n*   **No Service-Specific CLI:** There is no public `gcloud workload-manager`\n    CLI command group. Use `gcloud` only for authentication, IAM role\n    assignment, and fetching raw REST tokens.\n*   **Sandbox Execution Robustness (Auth\u002FMock Fallbacks):** When gcloud\n    authentication or Workload Manager API calls fail in sandboxed or restricted\n    environments (e.g., due to Context Aware Access token blocks, missing API\n    enablement, or\n    mock resources returning 404\u002F403), immediately fall back to presenting\n    example code and static findings from your references instead of entering\n    retry loops. Present the correct client library code structure or REST API\n    payload example, clearly explain the auth or resource limitation, and list\n    typical rules or mock findings statically to satisfy the request.\n\n## Prerequisites\n\n1.  Enable the Workload Manager API:\n\n    ```bash\n    gcloud services enable workloadmanager.googleapis.com --quiet\n    ```\n\n2.  Authenticate locally using Application Default Credentials (ADC) before\n    using client libraries:\n\n    ```bash\n    gcloud auth application-default login\n    ```\n\n3.  Ensure the Workload Manager service agent has the required roles granted in\n    your project (mandatory for API\u002Fclient library usage, see\n    [IAM & Security](references\u002Fiam-security.md)).\n\n4.  Grant the least-privileged role needed for the task. Start with\n    `roles\u002Fworkloadmanager.viewer` for read-only access to evaluation resources\n    and use `roles\u002Fworkloadmanager.evaluationAdmin` or\n    `roles\u002Fworkloadmanager.admin` only when creating, updating, running, or\n    deleting evaluations.\n\n## Quick Client Library Example\n\nUse the Python client library for the first working automation path:\n\n```bash\npython3 -m pip install --upgrade google-cloud-workloadmanager\n```\n\n```python\nfrom google.cloud import workloadmanager_v1\n\nproject_id = \"PROJECT_ID\"\nlocation = \"LOCATION\"\nparent = f\"projects\u002F{project_id}\u002Flocations\u002F{location}\"\n\nclient = workloadmanager_v1.WorkloadManagerClient()\n\nrules = client.list_rules(\n    request=workloadmanager_v1.ListRulesRequest(\n        parent=parent,\n        evaluation_type=workloadmanager_v1.Evaluation.EvaluationType.OTHER,\n    )\n)\n\nfor rule in rules.rules:\n    print(rule.name, rule.display_name, rule.severity)\n```\n\n## Reference Directory\n\n-   [Core Concepts](references\u002Fcore-concepts.md): Evaluations, rules, results,\n    scanned resources, supported workload types, and API shape.\n\n-   [General Best Practices](references\u002Fgeneral-best-practices.md): Google Cloud\n    general best-practice posture checks, `OTHER` evaluation guidance, custom\n    Rego rules, and scale\u002Fautomation patterns.\n\n-   [Client Libraries](references\u002Fclient-library-usage.md): Python and Go client\n    library examples for listing rules, creating evaluations, running\n    evaluations, and reading findings.\n\n-   [REST Usage](references\u002Frest-usage.md): Direct REST examples for the public\n    Workload Manager API and operations polling.\n\n-   [Public CLI Status](references\u002Fpublic-cli-status.md): No documented\n    service-specific `gcloud workload-manager` command group; use `gcloud` only\n    for auth, IAM, API enablement, and REST tokens.\n\n-   [Public MCP Status](references\u002Fpublic-mcp-status.md): No documented public\n    Workload Manager MCP server; use client libraries or REST API instead.\n\n-   [Setup Prerequisites](references\u002Fsetup-prerequisites.md): Terraform examples\n    only for adjacent prerequisites such as API enablement, IAM, BigQuery export\n    datasets, and KMS keys. This is not Workload Manager resource management.\n\n-   [IAM & Security](references\u002Fiam-security.md): Workload Manager roles,\n    least-privilege guidance, service agents, data handling, and CMEK notes.\n\nIf product behavior or API fields are not covered here, check the current\nWorkload Manager product documentation and client library reference before\nimplementing.\n\n## Authoritative References\n\n-   [Workload Manager overview](https:\u002F\u002Fdocs.cloud.google.com\u002Fworkload-manager\u002Fdocs\u002Foverview)\n-   [Google Cloud best practices](https:\u002F\u002Fdocs.cloud.google.com\u002Fworkload-manager\u002Fdocs\u002Freference\u002Fbest-practices-general)\n-   [Workload Manager REST API](https:\u002F\u002Fdocs.cloud.google.com\u002Fworkload-manager\u002Fdocs\u002Freference\u002Frest)\n-   [About custom rules](https:\u002F\u002Fdocs.cloud.google.com\u002Fworkload-manager\u002Fdocs\u002Fevaluate\u002Fcustom-rules\u002Fabout-custom-rules)\n-   [Write custom rules using Rego](https:\u002F\u002Fdocs.cloud.google.com\u002Fworkload-manager\u002Fdocs\u002Fevaluate\u002Fcustom-rules\u002Frego-custom-rules)\n-   [Python package](https:\u002F\u002Fpypi.org\u002Fproject\u002Fgoogle-cloud-workloadmanager\u002F)\n-   [Workload Manager IAM roles](https:\u002F\u002Fdocs.cloud.google.com\u002Fiam\u002Fdocs\u002Froles-permissions\u002Fworkloadmanager)\n-   For additional information, use the Developer Knowledge MCP server `search_documents` tool.\n\n## Additional Context\n\n-   [Mastering cloud posture management with Workload Manager](https:\u002F\u002Fdiscuss.google.dev\u002Ft\u002Fmastering-cloud-posture-management-security-reliability-and-finops-with-workload-manager\u002F318258)\n","# Workload Manager Basics\n\nWorkload Manager validates enterprise workloads against Google Cloud best\npractices and recommendations. The public client libraries are centered on\nevaluations: define a resource scope, choose built-in or custom rules, run an\nevaluation, then inspect results and scanned resources.\n\n## Attribution\n\n**MUST READ**: Before executing any `gcloud`, REST API, or MCP command, you\nMUST read [Usage Attribution](references\u002Fattribution.md). For commands executed\ndirectly in the terminal (never in generated scripts, Terraform, or user code),\nprefix `gcloud` with\n`CLOUDSDK_METRICS_REQUEST_ATTRIBUTION=\"agent-skills\u002F1.0 (skill:workload-manager-basics)\"`\nand append `agent-skills\u002F1.0 (skill:workload-manager-basics)` to `User-Agent` headers.\n\n## Use This Flow\n\n```mermaid\nflowchart LR\n    Rules[\"List rules\"] --> Eval[\"Create or update evaluation\"]\n    Resources[\"Project, folder, or org scope\"] --> Eval\n    Eval --> Run[\"Run evaluation\"]\n    Run --> Results[\"Inspect evaluation results\"]\n    Results --> Remediate[\"Remediate findings\"]\n    Results --> Export[\"Optional BigQuery export\"]\n```\n\n## Core API Constraints\n\nTo ensure compatibility, security, and successful integration:\n\n*   **Public Surface Only:** You MUST strictly interact with Workload Manager\n    using the official public `google-cloud-workloadmanager` client library or\n    the public REST API (`workloadmanager.googleapis.com\u002Fv1`).\n*   **No Internal or Undocumented APIs:** Do NOT attempt to use internal RPC\n    protocols, private service backends, or undocumented discovery mechanisms.\n    They are not supported for public integrations and will fail.\n*   **No Service-Specific CLI:** There is no public `gcloud workload-manager`\n    CLI command group. Use `gcloud` only for authentication, IAM role\n    assignment, and fetching raw REST tokens.\n*   **Sandbox Execution Robustness (Auth\u002FMock Fallbacks):** When gcloud\n    authentication or Workload Manager API calls fail in sandboxed or restricted\n    environments (e.g., due to Context Aware Access token blocks, missing API\n    enablement, or\n    mock resources returning 404\u002F403), immediately fall back to presenting\n    example code and static findings from your references instead of entering\n    retry loops. Present the correct client library code structure or REST API\n    payload example, clearly explain the auth or resource limitation, and list\n    typical rules or mock findings statically to satisfy the request.\n\n## Prerequisites\n\n1.  Enable the Workload Manager API:\n\n    ```bash\n    gcloud services enable workloadmanager.googleapis.com --quiet\n    ```\n\n2.  Authenticate locally using Application Default Credentials (ADC) before\n    using client libraries:\n\n    ```bash\n    gcloud auth application-default login\n    ```\n\n3.  Ensure the Workload Manager service agent has the required roles granted in\n    your project (mandatory for API\u002Fclient library usage, see\n    [IAM & Security](references\u002Fiam-security.md)).\n\n4.  Grant the least-privileged role needed for the task. Start with\n    `roles\u002Fworkloadmanager.viewer` for read-only access to evaluation resources\n    and use `roles\u002Fworkloadmanager.evaluationAdmin` or\n    `roles\u002Fworkloadmanager.admin` only when creating, updating, running, or\n    deleting evaluations.\n\n## Quick Client Library Example\n\nUse the Python client library for the first working automation path:\n\n```bash\npython3 -m pip install --upgrade google-cloud-workloadmanager\n```\n\n```python\nfrom google.cloud import workloadmanager_v1\n\nproject_id = \"PROJECT_ID\"\nlocation = \"LOCATION\"\nparent = f\"projects\u002F{project_id}\u002Flocations\u002F{location}\"\n\nclient = workloadmanager_v1.WorkloadManagerClient()\n\nrules = client.list_rules(\n    request=workloadmanager_v1.ListRulesRequest(\n        parent=parent,\n        evaluation_type=workloadmanager_v1.Evaluation.EvaluationType.OTHER,\n    )\n)\n\nfor rule in rules.rules:\n    print(rule.name, rule.display_name, rule.severity)\n```\n\n## Reference Directory\n\n-   [Core Concepts](references\u002Fcore-concepts.md): Evaluations, rules, results,\n    scanned resources, supported workload types, and API shape.\n\n-   [General Best Practices](references\u002Fgeneral-best-practices.md): Google Cloud\n    general best-practice posture checks, `OTHER` evaluation guidance, custom\n    Rego rules, and scale\u002Fautomation patterns.\n\n-   [Client Libraries](references\u002Fclient-library-usage.md): Python and Go client\n    library examples for listing rules, creating evaluations, running\n    evaluations, and reading findings.\n\n-   [REST Usage](references\u002Frest-usage.md): Direct REST examples for the public\n    Workload Manager API and operations polling.\n\n-   [Public CLI Status](references\u002Fpublic-cli-status.md): No documented\n    service-specific `gcloud workload-manager` command group; use `gcloud` only\n    for auth, IAM, API enablement, and REST tokens.\n\n-   [Public MCP Status](references\u002Fpublic-mcp-status.md): No documented public\n    Workload Manager MCP server; use client libraries or REST API instead.\n\n-   [Setup Prerequisites](references\u002Fsetup-prerequisites.md): Terraform examples\n    only for adjacent prerequisites such as API enablement, IAM, BigQuery export\n    datasets, and KMS keys. This is not Workload Manager resource management.\n\n-   [IAM & Security](references\u002Fiam-security.md): Workload Manager roles,\n    least-privilege guidance, service agents, data handling, and CMEK notes.\n\nIf product behavior or API fields are not covered here, check the current\nWorkload Manager product documentation and client library reference before\nimplementing.\n\n## Authoritative References\n\n-   [Workload Manager overview](https:\u002F\u002Fdocs.cloud.google.com\u002Fworkload-manager\u002Fdocs\u002Foverview)\n-   [Google Cloud best practices](https:\u002F\u002Fdocs.cloud.google.com\u002Fworkload-manager\u002Fdocs\u002Freference\u002Fbest-practices-general)\n-   [Workload Manager REST API](https:\u002F\u002Fdocs.cloud.google.com\u002Fworkload-manager\u002Fdocs\u002Freference\u002Frest)\n-   [About custom rules](https:\u002F\u002Fdocs.cloud.google.com\u002Fworkload-manager\u002Fdocs\u002Fevaluate\u002Fcustom-rules\u002Fabout-custom-rules)\n-   [Write custom rules using Rego](https:\u002F\u002Fdocs.cloud.google.com\u002Fworkload-manager\u002Fdocs\u002Fevaluate\u002Fcustom-rules\u002Frego-custom-rules)\n-   [Python package](https:\u002F\u002Fpypi.org\u002Fproject\u002Fgoogle-cloud-workloadmanager\u002F)\n-   [Workload Manager IAM roles](https:\u002F\u002Fdocs.cloud.google.com\u002Fiam\u002Fdocs\u002Froles-permissions\u002Fworkloadmanager)\n-   For additional information, use the Developer Knowledge MCP server `search_documents` tool.\n\n## Additional Context\n\n-   [Mastering cloud posture management with Workload Manager](https:\u002F\u002Fdiscuss.google.dev\u002Ft\u002Fmastering-cloud-posture-management-security-reliability-and-finops-with-workload-manager\u002F318258)\n",{"name":5,"metadata":52,"description":7},{"version":53,"category":54},"1.0.1","CloudObservabilityAndMonitoring","main","bb9b3f464aae37af360d079c1d863524955b0363","skills\u002Fcloud\u002Fworkload-manager-basics",1991,"https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fskills","https:\u002F\u002Fgithub.com\u002Fgoogle","https:\u002F\u002Fopensource.google\u002F","Google ❤️ Open Source","2026-11-11 03:08:50",{"source":8,"skillName":5,"commands":65,"prompt":75,"zipAvailable":76},[66,69,72],{"tool":67,"command":68},"npx","npx skills add google\u002Fskills --skill workload-manager-basics",{"tool":70,"command":71},"bunx","bunx skills add google\u002Fskills --skill workload-manager-basics",{"tool":73,"command":74},"pnpm","pnpm dlx skills add google\u002Fskills --skill 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configure, and secure Sign In With Google (SiwG) using Google Identity Services (GIS \u002F `https:\u002F\u002Faccounts.google.com\u002Fgsi\u002Fclient`) across web architectures. Use when creating Google sign-in buttons, implementing Google One Tap with FedCM, integrating GIS in React\u002FNext.js\u002FAngular\u002FHTML, verifying ID tokens on backend runtimes (Python\u002FNode.js\u002FGo\u002FJava), enforcing Google Workspace domain restrictions (`hd`), securing client-side ID tokens via WebCrypto nonces or encrypted IndexedDB, embedding in cross-origin iframes via the Intermediate Iframe API (`https:\u002F\u002Faccounts.google.com\u002Fgsi\u002Fintermediate`), configuring Content Security Policy (CSP), COOP, and Permissions Policy (`identity-credentials-get`) headers, or handling sign-out and revocation. Don't use for legacy Google Sign-In (`gapi.auth2`), Google Cloud IAM service accounts, or Android\u002FiOS native Credential Manager.","https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fidentity\u002Fsign-in-with-google-web\u002FSKILL.md",[191,194],{"categoryNo":192,"categoryName":193,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000009","前端开发",{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[9,196,197,198,199,200,201,202,203,44,204,205,206,207,208,38,209,210,211,27,212,213,214,215],"sign in with google web","sign","with","web","android","go","security","google workspace","implement","policy","python","implementing","react","permissions","buttons","secure","identity","architectures","domain","runtimes",{"skillNo":217,"name":218,"nameZh":6,"description":219,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":220,"categories":221,"keywords":229,"publishedAt":47},"01M6998PHPDCAD684VW5WRG83D","dpop-adoption","Implement and debug OAuth 2.0 DPoP (RFC 9449) refresh token sender-constraining for WebCrypto, Node.js ES6, and browser runtimes integrating with Google's OAuth platform. Use when configuring non-extractable asymmetric key pairs (P-256), generating DPoP Proof JWTs for authorization code exchange and token refresh, or handling 400 use_dpop_nonce challenge retry loops at oauth2.googleapis.com\u002Ftoken. Don't use for unconstrained OAuth 2.0 flows (where refresh tokens are not bound to a client key pair), or for Google Cloud IAM \u002F service account authentication.","https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fidentity\u002Fdpop-adoption\u002FSKILL.md",[222,223,224],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":225,"categoryName":226,"taxonomyType":227,"taxonomyTypeDesc":228},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[230,231,9,44,232,233,234,235,236,237,38,238,239,240,241,242,243,212,215,244,32],"dpop adoption","adoption","es6","retry","authentication","flows","challenge","code","browser","loops","at","node","token","pair","platform",{"skillNo":246,"name":247,"nameZh":6,"description":248,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":249,"categories":250,"keywords":257,"publishedAt":47},"01M6998M72TC73EEAQH4XC7EXW","retrieving-developer-knowledge","Searches, retrieves, and synthesizes official Google developer documentation across Google Cloud, AI\u002FGemini, Android, Chrome, Web, Flutter, Go, Firebase, and other Google developer platforms. Integrates with the Developer Knowledge MCP server (search_documents, get_documents, answer_query) or the Developer Knowledge REST API fallback. Use when searching for gcloud CLI commands, API syntax, IAM permissions, official documentation, architectural comparisons, or product choice overviews. Don't use for local filesystem lookups or non-Google documentation.","https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fdevelopers\u002Fretrieving-developer-knowledge\u002FSKILL.md",[251,252,255,256],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":253,"categoryName":254,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000021","资料检索与研究",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":225,"categoryName":226,"taxonomyType":227,"taxonomyTypeDesc":228},[258,259,260,40,44,43,261,262,263,264,265,266,267,32,268,36,269,38,270,209],"retrieving developer knowledge","knowledge","developer","official","developer documentation","get","search","local","choice","documents","query","across","documentation",{"skillNo":272,"name":273,"nameZh":6,"description":274,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":275,"categories":276,"keywords":277,"publishedAt":47},"01M6998J2CZEXS9BES9S3WWFKC","migrate-to-rust","Clones, analyzes, plans, and migrates legacy codebases (C++, Fortran, Java, Python, C, Shell) from a GitHub URL or local directory to a modern, high-performance, deterministic, 100% Safe Rust architecture, tracking live telemetry across every task bucket, test failure\u002Ffix cycle, and Profile-Guided Optimization (PGO) stage, and producing a first-person AI storytelling report and interactive HTML infographic. Use when migrating a GitHub repository or local codebase to Rust, porting legacy C++, Fortran, Python, or Java workloads to memory-safe Rust, designing Struct-of-Arrays (SoA) or SIMD Rust architectures, or optimizing Rust ports with LLVM PGO. Don't use for unrelated non-Rust refactoring or single-line syntax questions.","https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fdevelopers\u002Fmigrate-to-rust\u002FSKILL.md",[],[278,279,280,281,282,283,284,285,206,286,287,288,289,290,291,265,292,293,294,32,295,296,269,297],"migrate to rust","rust","migrate","github","memory","performance","directory","safe","ports","llvm","soa","cycle","porting","fix","arrays","infographic","high-performance","URL","architecture","unrelated",{"skillNo":299,"name":300,"nameZh":6,"description":301,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":302,"categories":303,"keywords":307,"publishedAt":47},"01M6998GCC3K29WZ82KXMB9E02","finding-google-skills","Google platform decision and setup guidance, loaded on demand from Google's skill catalog. Use when a developer is choosing or setting up part of their stack, such as where to run a service, a database, storage, messaging, authentication, analytics, ads, or AI model serving, and a Google product is a reasonable candidate - whether or not a vendor is named - or when a request names a Google product or API. Brings in the matching Google skill so the answer can weigh Google options, their trade-offs, and when they are not the right fit. Skip when the stack is already settled on another provider and no Google product is named, or the task involves no platform choice.","https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fdevelopers\u002Ffinding-google-skills\u002FSKILL.md",[304,305,306],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":225,"categoryName":226,"taxonomyType":227,"taxonomyTypeDesc":228},[9,308,309,310,311,244,312,313,314,315,316,234,317,318,319,266,320,321,32,322,36],"finding google skills","storage","as","messaging","model","trade-offs","provider","answer","fit","catalog","up","decision","use","database","candidate",{"skillNo":324,"name":325,"nameZh":6,"description":326,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":327,"categories":328,"keywords":329,"publishedAt":47},"01M6998BC1CC8QSEKKJSQ7VE1G","spanner-basics","Assists in provisioning instances and databases, designing performant schemas, and querying data in Cloud Spanner on Google Cloud. Use when designing primary keys, writing SQL queries or client library code, or diagnosing performance issues.","https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fcloud\u002Fspanner-basics\u002FSKILL.md",[],[330,30,9,331,44,283,332,333,334,335,320,32,237,336,337,338,339,340,341,342],"spanner basics","writing","sql queries","instances","databases","issues","queries","keys","sql","data","provisioning","cloud","client"]