pleasefixai/data-agent-kit
v1.0.1
Guides for BigQuery, Dataflow, Spark, managed Airflow and Cloud Storage on Google Cloud.
scripts
- bigquery-data-transfer-service
- scripts/bigquery_dts.py
- building-data-apps
- examples/express_chat.ts
- examples/fastapi_chat.py
- dak-setup
- scripts/dak-setup.js
- data-autocleaning
- scripts/dataplex_scanner.py
- gcp-managed-airflow-recommendations
28 more
- scripts/dag_parsing_stats.py
- scripts/environment_health.py
- scripts/lib/__init__.py
- scripts/lib/flagutils.py
- scripts/lib/monitoring.py
- scripts/workload_cpu_usage.py
- scripts/workload_disk_usage.py
- scripts/workload_memory_usage.py
- scripts/workload_restarts.py
- gcp-managed-spark-upgrades
- scripts/cluster_resolve_version.py
- gcp-pipeline-orchestration
- scripts/trigger/airflow_trigger.py
- gcp-spark-troubleshooting
- scripts/spark_code_inspector.py
- scripts/spark_gcs_log_reader.py
- scripts/spark_stage_diagnostics.py
- tests/spark_code_inspector_test.py
- tests/spark_gcs_log_reader_test.py
- tests/spark_stage_diagnostics_test.py
- gcs-security-assessment
- scripts/cloud_rest_helpers_nodeps.py
- scripts/evaluate_project_security_posture.py
- scripts/fetch_bucket_telemetry.py
- scripts/fetch_object_telemetry.py
- scripts/list_datasets.py
- scripts/preflight_permissions.py
- scripts/validation.py
plugin.json
- name
- data-agent-kit
- version
- 1.0.1
- description
- Guides for BigQuery, Dataflow, Spark, managed Airflow and Cloud Storage on Google Cloud.
- author
- Google LLC
- extensions
- ai.pleasefix.client
plugin.json
{
"$schema": "https://agent-plugins.org/schemas/1.0.0/plugin.schema.json",
"name": "data-agent-kit",
"version": "1.0.1",
"description": "Guides for BigQuery, Dataflow, Spark, managed Airflow and Cloud Storage on Google Cloud.",
"author": {
"name": "Google LLC"
},
"homepage": "https://cloud.google.com/products/data-agent-kit",
"extensions": {
"ai.pleasefix.client": {
"engines": ">=26.10.0",
"displayName": "Data Agent Kit",
"category": "developer_tools",
"mark": "mark.png",
"upstream": {
"kind": "imported",
"marketplace": "claude",
"plugin": "data-agent-kit",
"commit": "83c53b5f129cdeecabe149ff4ba82645d3e51745",
"skills": {
"accidental-data-loss-prevention": "888a56886cae21c290f9e715f9df208953d553e656ab51ed26813fb4843ec0c5",
"bigquery-ai-ml": "0743dcc4be6f35e88f2c663f8edf9e20ae697f91bb7bcb1f6f724ef1b0597691",
"bigquery-bigframes": "aa235e961254a4b142766a763bb053610cbd17c3ff315e6973990782f6bbee1f",
"bigquery-data-transfer-service": "0458afd8c9bb4b534d6c90d61490c9cc7877b9ee1b07ad55c06b0749ba9431bf",
"bigquery-graph-author": "9e732055e451f49a111601cd3a26578292907136b2349f02e891786ecc28947c",
"bigquery-graph-query": "48de9c3ff61342993d75acf34b24c733fb833186501c94a68d5bb8963e6b042a",
"bigquery-sql": "32373d856f28ad779c63019ffc518956c076e25dd0eb50150c87b79446eb8a13",
"bigtable-basics": "55407273d9e4f879072c7bd9138cd515d5e339dad898a5a84013c087f259b7b1",
"building-data-apps": "7891fc22eafb61e9572d511a690eb81de10b034206d9c8ab23fd8b703cc93a27",
"dak-setup": "b3ed161119d9456bfc1744c08152f9352d973960e5c5ac3c950e9c5de99c3a82",
"data-autocleaning": "ef0a18edb4893a62dfb5f1314209c287a3955e584a3c1581d6f63e2f09a82d7d",
"dataform-bigquery": "d3fbea0cd12adaf534c47429db049da067f8a8ea3f7198ec750576d5e361bcd0",
"dbt-bigquery": "0ecde0a4f204737c1db294f6160cd88f24e23b1179ee429cc76a7c289cd68140",
"discovering-gcp-data-assets": "b8f77b41fe8331a38e6ccadada0a17f6e9e6bd23bc4f81a550760a38ce8c0b57",
"enforcing-resource-attribution": "8a97d73872cfa4770608917ce896fb3b08c441f28ee9c344d9b69f54f639ab98",
"federate-lakehouse-catalog": "02ed2d1e5510a8dd1bfcfc1068f3a2882a1afb8ed65c6f1b5be6e4540c01cb39",
"gcp-composer-troubleshooting": "a040fcea77cae2ce87398b65fd38bed905023f2ba904e2c19bb046c312b475f0",
"gcp-data-pipelines": "30f5f07d2feec19e3e131790487819dc327b25383c291ad271de796c923774ac",
"gcp-dataflow": "b79ba28c9330bff28288c1414ef7b830019ea9f0bfed8ca5c90ea155824db8ed",
"gcp-managed-airflow-dag-authoring": "e3ca12c001edd18e7c9cd35497976e57d2b7afd23f8223abfdc1e9d8531f997c",
"gcp-managed-airflow-migrations": "b0d372b9f9cf45ec1b523f7be68bbfa3b8a27951b27d8926b6cd8ee88922b3e4",
"gcp-managed-airflow-recommendations": "59c584f3a3c262573999a24b7788dbe657bda7626d968baf7829680f41b4ab8f",
"gcp-managed-spark-upgrades": "46fed85f28e4d981b912e2a064cf40fe1fb68569346d67b6f9cb8a03af8a8f1b",
"gcp-pipeline-orchestration": "05c24f2700e5eee6fcbc4e6ceb187b31f3b2bdf055fe7ec8cf1697840ea184e9",
"gcp-pipeline-resource-provisioning": "064d5ab31e8330f4bcec077a8c447d8ebd3b2e65f17e8628f58ac275f97fae46",
"gcp-spark": "3aacb5d78e6122140d3ae8569ea2350434ebe81d35a3b6591a22cac39bbb5e05",
"gcp-spark-troubleshooting": "832acad60bd1260ee8d17c9d5a309b7629d26a4c51499f2ea25616771aff5742",
"gcs-security-assessment": "48a5527d7dac3c095c8a6d5d5ef7da43c78f9ad39097d87fe42ec074fcf4c1b1",
"google-cloud-auth-verification": "a5c2a19b089c4a6418ded87b5208d796aae0b26dca86b7be8f6dfd591f59e046",
"google-cloud-storage-basics": "00bbe73857cc946260a984ce13a58c60728d195ad1c902df4083a2ea956cfe95",
"google-cloud-storage-bucket-architect": "5a386f75100a87532a0709baa35eb4d425d7a73a5490b13a8983b6eaa6e82956",
"google-cloud-storage-fuse": "8b74f681d6b09e37df69db49c98de2ca9af64df1c85476177848590164c79309",
"managing-python-dependencies": "ff006ad71ae8819d80a36f196c4b3496b5e9bee50b355db94418a0ac6babcd33",
"ml-best-practices": "5d72ffd5c4bfe25806f5dde43f05aa30848382f4aa1bd92567b4339c14e2c5ed",
"notebook-guidance": "f7cf0e72c6bb0dc2d5e41505d87d9bdcebe7c7da36f9f3944a91e1dc8f92a1ac",
"schema-mapping": "225e2a550f87ccdfb5f1e68e26b9f014588265c53f256fa4e19c4b524584840b"
}
}
}
}
}
What else this package ships
These files come with the package and this site does not publish them. They are listed so you know what is there before you install it.
- 27Python files
- dak-setup.js
- express_chat.ts
- package.json
- row_key_schema.yaml
- 37other files
- mark.png
Client extensions
Data this package carries for particular clients. The directory lists the clients named and never reads what is addressed to them.
- ai.pleasefix.clientships a directory of files