Claude Skills by exasol-labs

github.com/exasol-labs

18 skillsA× 180 installs42 views

Exasol BucketfsAExasol BucketFS file system management via exapump CLI. Covers listing, uploading, downloading, and deleting files and directories in BucketFS, BucketFS configuration, bucket structure, and use with UDFs.databasespythonjavaVotes: 0GitHub stars: 10
Exasol DatabaseAExasol database interaction via exapump CLI and Exasol SQL. Covers file upload/export, SQL queries, and Exasol-specific SQL behavior including data types, reserved keywords, and constraints.databasesgosqlVotes: 0GitHub stars: 10
Exasol UdfsAExasol User Defined Functions (UDFs) and Script Language Containers (SLCs). Covers CREATE SCRIPT, SCALAR and SET functions, ExaIterator API, Python/Java/Lua/R scripts, BucketFS file access, GPU-accelerated UDFs, and building/deploying custom Script Language Containers with exaslct.developmentpythongoVotes: 0GitHub stars: 10
Exasol Cloud Storage ExtensionAUse Exasol Cloud Storage Extension workflows for moving structured object-storage files through extension UDFs. Covers setup prerequisites, the fixed `CLOUD_STORAGE_EXTENSION.IMPORT_PATH` and `CLOUD_STORAGE_EXTENSION.EXPORT_PATH` entrypoints used with `FROM SCRIPT` and `INTO SCRIPT`, Parquet, Avro, ORC, and Delta files on S3, Google Cloud Storage, Azure Blob Storage, Azure Data Lake, HDFS, and Alluxio, connection-object credential patterns, and routing away from native IMPORT or EXPORT when t...ai-agentsgosqlVotes: 0GitHub stars: 10
Exasol Distributed MlADistributed machine learning, data mining, and iterative HPC with Exasol. Covers end-to-end ML pipelines (DISTRIBUTE BY + SET scripts + BucketFS), per-entity federated training with partial_fit and ctx.reset(), batch inference, map-reduce ensemble training, distributed ensemble and SON algorithm for frequent itemset mining (Apriori, FP-Growth, association rules, market-basket analysis), Lua execute script orchestration for iterative algorithms (k-means, SGD, gradient descent), scikit-learn mo...ai-agentsgonodeVotes: 0GitHub stars: 10
Exasol Document Virtual SchemasAUse Exasol document-file virtual schemas for federated read-only access to object and file storage — S3, Google Cloud Storage, Azure Blob Storage, and Azure Data Lake Storage Gen2 document files. Covers document-file adapter family selection, the EDML `MAPPING` definition, `CREATE VIRTUAL SCHEMA` usage, refresh workflows, and query-side troubleshooting.ai-agentsgoazureVotes: 0GitHub stars: 10
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Exasol ExportAUse Exasol `EXPORT` and `EXPORT INTO` SQL plus `exapump export` local file workflows for moving data out of Exasol. Covers native CSV/FBV export, local CSV/Parquet exports with exapump, `CREATE CONNECTION` connection objects for export, FTP, SFTP, HTTP, HTTPS, and cloud targets on S3, Azure Blob Storage, and Google Cloud Storage (GCS), reject limits, and export credential patterns.ai-agentsgosqlVotes: 0GitHub stars: 10
Exasol Extension CatalogACatalog and selection guide for Exasol tools, extensions, connectors, integrations, and architecture patterns. Use when the primary intent is comparison, discovery, support-status research, or architecture selection rather than executing a workflow; hand operational work to the selected dedicated skill. Covers deploy, load, explore, enrich, surface, and scale capability families, including named products with no dedicated skill of their own such as Lakehouse Turbo, the Exasol MCP Server, Gove...ai-agentspythonrustVotes: 0GitHub stars: 10
Exasol ImportAUse Exasol `IMPORT` and `IMPORT INTO` SQL plus `exapump upload` local file workflows for moving data into Exasol. Covers CSV, FBV, and Parquet, `CREATE CONNECTION` connection objects for import, cloud credential patterns for S3, Azure Blob Storage, and Google Cloud Storage (GCS), reject handling, and staging-based import workflows. Native IMPORT does not read Avro, ORC, or Delta — those object-storage formats need the Cloud Storage Extension instead.ai-agentsgosqlVotes: 0GitHub stars: 10
Exasol ItdeAUse notebook-connector's itde_manager to run a local Docker-based Exasol database. Covers bring_itde_up, get_itde_status, restart_itde, take_itde_down, and how ITDE populates notebook-connector configuration automatically.ai-agentsgosqlVotes: 0GitHub stars: 10
Exasol Jdbc Virtual SchemasAUse Exasol JDBC-based virtual schemas for federated read-only access to external databases such as PostgreSQL, Oracle, MySQL, SQL Server, and DB2. Covers database-source adapter selection, `CREATE VIRTUAL SCHEMA`, `ALTER VIRTUAL SCHEMA`, `EXPLAIN VIRTUAL`, metadata refresh, and query-side troubleshooting.ai-agentsgosqlVotes: 0GitHub stars: 10
Exasol Notebook ConnectionsAUse notebook-connector's Python connection helpers for Exasol, BucketFS, SQLAlchemy, and Ibis. Covers open_pyexasol_connection, open_sqlalchemy_connection, open_ibis_connection, open_bucketfs_bucket, open_bucketfs_location, get_backend, and related helper functions.ai-agentspythongoVotes: 0GitHub stars: 10
Exasol Notebook Connector ConfigASet up notebook-connector configuration for Exasol AI workflows through the Secrets Python API. Covers secure config store (`scs`) creation, the `AILabConfig` and `StorageBackend` key sources, backend-specific config values such as `db_host_name`, `db_schema`, `storage_backend`, and `huggingface_token`, Python validation, and handoff to downstream notebook-connector skills.ai-agentspythongoVotes: 0GitHub stars: 10
Exasol Setup PersonalAGuided setup of Exasol Personal — a free Exasol database running locally on a Mac or deployed to your own AWS, Azure, Exoscale, or STACKIT account. Covers picking the right deployment flavor, the `exasol` launcher CLI (`exasol install <preset>`, `exasol connect`, `exasol info`, `exasol deployments list`, `exasol destroy`), the `local`, `aws`, `azure`, `exoscale`, and `stackit` presets, and following the official exasol/exasol-personal instructions.ai-agentsgosqlVotes: 0GitHub stars: 10
Exasol Text AiADeploy and use the Exasol Text AI Extension (TXAIE) with notebook-connector. Covers `deploy_license`, `initialize_text_ai_extension`, the `PYTHON3_TXAIE` language container, the Extraction API classes `StandardExtractor`, `NamedEntityExtractor`, `TopicClassifierExtractor`, `PipelineExtractor`, and `BranchExtractor`, named-entity, zero-shot classification, and feature extraction runs, default-model installation, and result-table querying such as `TXAIE_AUDIT_LOG`.ai-agentspythongoVotes: 0GitHub stars: 10
Exasol TransformersADeploy and use the Exasol Transformers Extension (TE) for NLP inference inside Exasol with notebook-connector. Covers `initialize_te_extension`, `deploy_scripts`, `PYTHON3_TE` language-container activation SQL, Hugging Face model-installation workflows, and the current TE SQL UDF surface.ai-agentspythongoVotes: 0GitHub stars: 10
Exasol Virtual Schema Adapter DevelopmentABuild, install, validate, and debug custom Exasol virtual schema adapters. Covers source-specific JDBC dialect implementation with `virtual-schema-common-jdbc` including `SqlDialect`, metadata reader behavior, type mapping, and pushdown capabilities, custom document-file adapter code boundaries, custom adapter properties, JAR packaging, BucketFS deployment, adapter script setup, `EXPLAIN VIRTUAL` validation, and adapter-side remote debugging workflows.ai-agentsgojavaVotes: 0GitHub stars: 10
ExasolATop-level router for Exasol work. Use for any Exasol database, exapump, SQL, BucketFS, extension, integration, UDF, Script Language Container, or Exasol Personal setup task, then route to the narrowest specialized Exasol skill.ai-agentsgosqlVotes: 0GitHub stars: 10