Agent skills you can check before you install
Public SKILL.md skills from GitHub repositories with 50+ stars and from the vendors themselves, scanned and scored. Install any of them with one command in Claude Code, Cursor, Codex, GitHub Copilot or Gemini CLI.
5,396 skills from 133 repositories · updated 39 minutes ago
148 skills
- agent-platform-rag-engine-managementgoogle/skillsManage and query Agent Platform RAG Engine Corpora and retrieve grounded contexts using the Google GenAI SDK. Use when listing RAG corpora or files, inspecting a corpus, retrieving contexts, or generating content grounded in a RAG corpus. Do not use for standard database queries (use SQL/Spanner skills), Google Workspace RAG, or other RAG products like gRAG.OfficialDataNo warnings★ 21.5K↓ —
- ssma-consolegithub/awesome-copilotUse when: SSMA console operations — create project, generate assessment report, convert schema, migrate data, Oracle to SQL Server migration, schema conversion, data migrationDataNo warnings★ 40.3K↓ —
- analyticssickn33/agentic-awesome-skillsWhen the user wants to set up, improve, or audit analytics tracking and measurement.DataNo warnings★ 48.2K↓ —
- sql-code-reviewgithub/awesome-copilotUniversal SQL code review assistant that performs comprehensive security, maintainability, and code quality analysis across all SQL databases (MySQL, PostgreSQL, SQL Server, Oracle). Focuses on SQL injection prevention, access control, code standards, and anti-pattern detection. Complements SQL optimization prompt for complete development coverage.DataNo warnings★ 40.3K↓ —
- sql-optimizationgithub/awesome-copilotUniversal SQL performance optimization assistant for comprehensive query tuning, indexing strategies, and database performance analysis across all SQL databases (MySQL, PostgreSQL, SQL Server, Oracle). Provides execution plan analysis, pagination optimization, batch operations, and performance monitoring guidance.DataNo warnings★ 40.3K↓ —
- postgresql-code-reviewgithub/awesome-copilotPostgreSQL-specific code review assistant focusing on PostgreSQL best practices, anti-patterns, and unique quality standards. Covers JSONB operations, array usage, custom types, schema design, function optimization, and PostgreSQL-exclusive security features like Row Level Security (RLS).DataNo warnings★ 40.3K↓ —
- lead-magnetscoreyhaines31/marketingskillsWhen the user wants to create, plan, or optimize a lead magnet for email capture or lead generation. Also use when the user mentions "lead magnet," "gated content," "content upgrade," "downloadable," "ebook," "cheat sheet," "checklist," "template download," "opt-in," "freebie," "PDF download," "resource library," "content offer," "email capture content," "Notion template," "spreadsheet template," "what should I give away for emails," "course as a skill," or "package our content as an agent skill." Use this for planning what to create and how to distribute it. For interactive tools as lead magnets, see free-tools. For writing the actual content, see copywriting. For the email sequence after capture, see emails.DataNo warnings★ 55.8K↓ —
- workload-manager-basicsgoogle/skillsUse 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.OfficialDataNo warnings★ 21.5K↓ —
- postgresql-optimizationgithub/awesome-copilotPostgreSQL-specific development assistant focusing on unique PostgreSQL features, advanced data types, and PostgreSQL-exclusive capabilities. Covers JSONB operations, array types, custom types, range/geometric types, full-text search, window functions, and PostgreSQL extensions ecosystem.DataNo warnings★ 40.3K↓ —
- optimize-for-gpuK-Dense-AI/scientific-agent-skillsGPU-accelerates scientific Python on NVIDIA hardware and verifies that the result is correct and faster. Use for CUDA/GPU optimization; CPU-bound NumPy, SciPy, pandas, scikit-learn, NetworkX, scikit-image, vector-search, image-processing, graph, simulation, or file-I/O workloads; CuPy, cuDF, cuML, cuGraph, cuVS, cuCIM, KvikIO, Warp, Newton, Numba-CUDA, or RAFT questions; and profiling, memory-transfer, kernel, or multi-GPU bottlenecks. Also use when large data-parallel Python code is slow and GPU acceleration is a plausible option, even if the user does not name CUDA.DataNo warnings★ 53.4K↓ —
- sql-prosickn33/agentic-awesome-skillsMaster modern SQL with cloud-native databases, OLTP/OLAP optimization, and advanced query techniques. Expert in performance tuning, data modeling, and hybrid analytical systems.DataNo warnings★ 48.2K↓ —
- bigquery-bigframesgoogle/skillsGenerates Python code using BigQuery DataFrames (BigFrames). Use by default for any Python data task involving BigQuery, including data processing, analysis, and machine learning. Don't use for SQL-first workflows or the google-cloud-bigquery client library — use bigquery-basics.OfficialDataNo warnings★ 21.5K↓ —
- bigquery-ai-mlgoogle/skillsLeverages BigQuery's built-in machine learning and GenAI capabilities for advanced data analytics. Use when you need to write SQL queries that perform time-series forecasting, predict values, detect outliers or anomalies, find key drivers, perform semantic search or vector search, classify text, calculate similarity, summarize content, translate language, evaluate models, filter by semantic conditions, measure the causal effect of an intervention, compute correlations between columns, detect change points or structural breaks, extract trend or seasonality components, or leverage generative AI capabilities in BigQuery. Do not use for general BigQuery dataset, table, or job management requests.OfficialDataNo warnings★ 21.5K↓ —
- finding-google-skillsgoogle/skillsGoogle 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.OfficialDataNo warnings★ 21.5K↓ —Also in 1 other repo
- cloud-logging-query-generationgoogle/skillsGenerates Logging Query Language (LQL) queries for Cloud Logging on Google Cloud from natural language. Use this skill when you need to query log data or when you are debugging issues. You can filter log data by Google Cloud service. Don't use this skill to query other databases, such as SQL or Cloud Spanner.OfficialDataNo warnings★ 21.5K↓ —
- google-analytics-data-api-basicsgoogle/skillsManages Google Analytics reporting data, enables the Analytics Data API via the Cloud CLI, and creates reports using the Google Analytics Data API (v1beta). Use when you need to interact with Google Analytics properties, run customized analytics reports, query metrics (like activeUsers, screenPageViews) and dimensions (like city, date), check metrics and dimensions compatibility, or verify API enablement. Don't use for Google Analytics Admin API operations (e.g., creating properties, managing users) or for front-end tracking installation.OfficialDataNo warnings★ 21.5K↓ —
- databasesickn33/agentic-awesome-skillsDatabase development and operations workflow covering SQL, NoSQL, database design, migrations, optimization, and data engineering.DataNo warnings★ 48.2K↓ —
- google-analytics-admin-api-basicsgoogle/skillsManages Google Analytics account and property settings, enables the Analytics Admin API via the Cloud CLI, lists accounts and properties, and manages data streams, custom dimensions, conversion events, and integrations. Use when you need to programmatically configure Google Analytics accounts, provision properties, manage data retention, configure Measurement Protocol secrets, or manage Firebase and Google Ads links.OfficialDataNo warnings★ 21.5K↓ —
- datalineage-bigquery-asset-impact-analysisgoogle/skillsAnalyzes the downstream impact (blast radius) using data lineage on Google Cloud when a BigQuery table or view is broken, stale, or modified. Identifies all downstream tables, dashboards, and processes that will be affected. Use when: - Performing a blast radius or impact analysis for a BigQuery table or view. - Assessing the consequences of modifying, deleting, or pausing updates to a BigQuery asset. - Identifying downstream dependencies (tables, dashboards, processes) of a BigQuery asset. Don't use for: - General BigQuery querying or data analysis (use BigQuery-related tools instead). - Non-BigQuery assets (e.g., Cloud Storage files) unless they are part of the BigQuery lineage. - Creating or modifying lineage links directly.OfficialDataNo warnings★ 21.5K↓ —
- recipe-backup-sheet-as-csvgoogleworkspace/cliExport a Google Sheets spreadsheet as a CSV file for local backup or processing.DataNo warnings★ 31.7K↓ —
- recipe-log-deal-updategoogleworkspace/cliAppend a deal status update to a Google Sheets sales tracking spreadsheet.DataNo warnings★ 31.7K↓ —
- gws-sheets-appendgoogleworkspace/cliGoogle Sheets: Append a row to a spreadsheet.DataNo warnings★ 31.7K↓ —
- gws-sheets-readgoogleworkspace/cliGoogle Sheets: Read values from a spreadsheet.DataNo warnings★ 31.7K↓ —
- cognee-migrationstopoteretes/cogneeUse when dealing with cognee database migrations — understanding when they run automatically, checking or repairing migration state with cognee-cli upgrade/downgrade/stamp/current, a write blocked by a failed migration, authoring a new Alembic (relational schema) revision or a graph/vector data migration, or moving data between systems (relational DB import, memory export/import).DataNo warnings★ 32.6K↓ —
bigquery-ai-ml
google/skills
OfficialDataUpdated 23 hours ago
From the author
Leverages BigQuery's built-in machine learning and GenAI capabilities for advanced data analytics. Use when you need to write SQL queries that perform time-series forecasting, predict values, detect outliers or anomalies, find key drivers, perform semantic search or vector search, classify text, calculate similarity, summarize content, translate language, evaluate models, filter by semantic conditions, measure the causal effect of an intervention, compute correlations between columns, detect change points or structural breaks, extract trend or seasonality components, or leverage generative AI capabilities in BigQuery. Do not use for general BigQuery dataset, table, or job management requests.
Install
npx skills add google/skills --skill bigquery-ai-ml -a claude-code
Installs to .claude/skills/bigquery-ai-ml/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Download .zip
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
What it can touch
Instructions onlyNo network use seenLicence: APACHE-2.0
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Files (23)
- SKILL.md
- references/ai_agg.md
- references/ai_causal_effect.md
- references/ai_classify.md
- references/ai_detect_anomalies.md
- references/ai_evaluate.md
- references/ai_forecast.md
- references/ai_generate.md
- references/ai_generate_embedding.md
- references/ai_generate_table.md
- references/ai_if.md
- references/ai_key_drivers.md
- +11 more