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It bridges the gap between Large Language Models (LLMs) and databases by compiling, evaluating, and maintaining the precise operational context needed for highly accurate natural language-to-SQL query generation.",[],[163,164,165,168,169,172],{"slug":5,"name":6},{"slug":47,"name":48},{"slug":166,"name":167},"database","Database",{"slug":44,"name":45},{"slug":170,"name":171},"agent-context","Agent Context",{"slug":173,"name":174},"sql","SQL","2026-08-06T05:39:52.529239",{"name":177,"fullName":178,"repoUrl":179,"skillCount":180,"stars":127,"forks":181,"description":62,"topics":182,"topTags":183,"topTagCount":180,"lastUpdatedAt":200},"LifeSciences","GoogleCloudPlatform\u002FLifeSciences","https:\u002F\u002Fgithub.com\u002FGoogleCloudPlatform\u002FLifeSciences",6,10,[],[184,185,188,191,194,197],{"slug":53,"name":54},{"slug":186,"name":187},"research","Research",{"slug":189,"name":190},"bioinformatics","Bioinformatics",{"slug":192,"name":193},"diagrams","Diagrams",{"slug":195,"name":196},"pubmed","PubMed",{"slug":198,"name":199},"competitive-intelligence","Competitive Intelligence","2026-07-12T07:41:01.085638",{"name":202,"fullName":203,"repoUrl":204,"skillCount":205,"stars":206,"forks":207,"description":208,"topics":209,"topTags":227,"topTagCount":240,"lastUpdatedAt":241},"vertex-ai-samples","GoogleCloudPlatform\u002Fvertex-ai-samples","https:\u002F\u002Fgithub.com\u002FGoogleCloudPlatform\u002Fvertex-ai-samples",4,775,303,"Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.",[210,211,212,50,213,214,215,216,217,218,219,220,221,222,223,224,112,225,226],"automl","colab","colab-enterprise","gemini-api","genai","generative-ai","google-cloud-platform","ml","mlops","model","model-garden","notebook","pipeline","predictions","samples","vertexai","workbench",[228,229,232,235,236,239],{"slug":5,"name":6},{"slug":230,"name":231},"llm","LLM",{"slug":233,"name":234},"api-development","API Development",{"slug":50,"name":51},{"slug":237,"name":238},"machine-learning","Machine Learning",{"slug":44,"name":45},8,"2026-07-12T07:38:55.792572",{"name":243,"fullName":244,"repoUrl":245,"skillCount":246,"stars":247,"forks":248,"description":249,"topics":250,"topTags":253,"topTagCount":240,"lastUpdatedAt":266},"cloud-foundation-fabric","GoogleCloudPlatform\u002Fcloud-foundation-fabric","https:\u002F\u002Fgithub.com\u002FGoogleCloudPlatform\u002Fcloud-foundation-fabric",3,2077,1254,"End-to-end modular samples and landing zones toolkit for Terraform on GCP.",[251,5,252],"gcp","terraform",[254,255,258,259,262,265],{"slug":5,"name":6},{"slug":256,"name":257},"automation","Automation",{"slug":35,"name":36},{"slug":260,"name":261},"github","GitHub",{"slug":263,"name":264},"infrastructure-as-code","Infrastructure as Code",{"slug":41,"name":42},"2026-08-10T04:16:46.817883",{"name":268,"fullName":269,"repoUrl":270,"skillCount":246,"stars":271,"forks":272,"description":273,"topics":274,"topTags":275,"topTagCount":18,"lastUpdatedAt":290},"devrel-demos","GoogleCloudPlatform\u002Fdevrel-demos","https:\u002F\u002Fgithub.com\u002FGoogleCloudPlatform\u002Fdevrel-demos",349,170,"This repo is for code that supports talks, blogs, and other activities the Google Cloud Developer Relations team engages in.",[],[276,279,282,285,286,287],{"slug":277,"name":278},"architecture","Architecture",{"slug":280,"name":281},"communications","Communications",{"slug":283,"name":284},"content-creation","Content Creation",{"slug":35,"name":36},{"slug":50,"name":51},{"slug":288,"name":289},"go","Go","2026-07-12T07:39:21.624989",{"name":292,"fullName":293,"repoUrl":294,"skillCount":246,"stars":295,"forks":296,"description":297,"topics":298,"topTags":307,"topTagCount":180,"lastUpdatedAt":55},"professional-services","GoogleCloudPlatform\u002Fprofessional-services","https:\u002F\u002Fgithub.com\u002FGoogleCloudPlatform\u002Fprofessional-services",3059,1465,"Common solutions and tools developed by Google Cloud's Professional Services team. 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Don't use for raw agent code scaffolding (use google-agents-cli-scaffold) or infrastructure deployment (use google-agents-cli-deploy).",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[431,433,434,435],{"name":312,"slug":311,"type":432},"tag",{"name":315,"slug":314,"type":432},{"name":45,"slug":44,"type":432},{"name":6,"slug":5,"type":432},"2026-08-13T05:04:15.77511",{"slug":438,"name":438,"fn":439,"description":440,"org":441,"tags":442,"stars":295,"repoUrl":294,"updatedAt":55},"agent-eval-workflow","design and run agent evaluation workflows","This skill should be used when the user wants to evaluate an AI agent end-to-end: scaffold an evaluation, design metrics that test a real hypothesis, make an agent measurable, audit generated eval config, read evaluation results, or run an improvement (\"hill climbing\") loop. Covers evaluation methodology, metric design, dataset coverage, reading deterministic vs LLM-judged metrics, and the traps that make eval runs silently measure nothing. Use alongside the tool-specific skills (agents-cli-eval, adk-eval-guide) — those cover commands and schemas, this covers the process and judgement.\n",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[443,444,445,446],{"name":312,"slug":311,"type":432},{"name":315,"slug":314,"type":432},{"name":45,"slug":44,"type":432},{"name":6,"slug":5,"type":432},{"slug":448,"name":448,"fn":449,"description":450,"org":451,"tags":452,"stars":295,"repoUrl":294,"updatedAt":457},"eval-breakdown","diagnose agent evaluation benchmark results","Performs an exhaustive, question-by-question narrative diagnostic breakdown of an agent-eval benchmark run by analyzing question_answer_log.md, eval_summary.json, and raw trajectory traces. Use when diagnosing low score causes, investigating the Memory Reuse vs. Traceability rubric clash, performing pre-release failure audits, or examining judge reasoning across individual scenarios. Don't use for running the benchmark CLI pipeline itself (use agent-eval) or automated genetic prompt tuning (use google-agents-cli-eval).",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[453,454,455,456],{"name":89,"slug":88,"type":432},{"name":74,"slug":73,"type":432},{"name":45,"slug":44,"type":432},{"name":6,"slug":5,"type":432},"2026-08-13T05:04:18.336276"]