← Data Engineering CopilotSOURCE FILE ARCHIVE
Inside the package
Data Engineering Copilot · 67 files · 95.4 KB · Nov 3, 2026 · 00:12 UTC
| File | Size |
|---|---|
.codex-plugin/plugin.jsonSHA-2561e912532f4bd2d513bef88efb211de53ecc6c1440d63129ddc3992317c8c902c | 3.44 KB |
CHANGELOG.mdSHA-256b43a4ca7181b99e92acee983f0f035abdda3e30f5391de8d8a3249f75de1ef42 | 633 Bytes |
README.mdSHA-256c32dcc889681dad4a01d16cb677486e403231dc50bb681149bc65b76969e394d | 2.09 KB |
SUBMISSION.mdSHA-2567d404dad3309231f2fe4c339e14ed5a0f2871e1358817847576e5378e386eae8 | 1.49 KB |
UPGRADE_AUDIT.mdSHA-2560ec142c31320f7dce7dd3238b524282b90e40ffbd54dcbb9f52651d9381ec107 | 1.53 KB |
assets/composer-icon.svgSHA-256a8c3bd974c55475b5cc5b7ee4c1186676f032d60ae18910b19da2aa9b44b5223 | 59.2 KB |
assets/logo.svgSHA-256a8c3bd974c55475b5cc5b7ee4c1186676f032d60ae18910b19da2aa9b44b5223 | 59.2 KB |
benchmarks/fixtures/reconciliation.jsonSHA-2569446e299766f86e067e2ac97a887eb0b27616e37c17146652bdf238c121564b2 | 352 Bytes |
benchmarks/review-cases.mdSHA-2561019c376bb6981e2772bc9397d7fcde8a54970edc3b33162f3bcdbe04f8b9735 | 1.2 KB |
benchmarks/scenarios.jsonSHA-256ad852a2103f7a9136d4d258fc1adea2f69bb199a42e52829097c2f9998b5fa04 | 10 KB |
docs/original-v0.1.0-skill.mdSHA-256d021275cb03228f95d81cbbe7321abf867db94b08d10327822777a9c3d2a9283 | 7.44 KB |
plugin.jsonSHA-2567a786ad190408fd3142c7b3b0c41824966fa738e73a7b7fc380b89b609329cff | 3.88 KB |
references/agent-orchestration.mdSHA-256be3062782eb1d879ca7a2d8df5503c5451c0d898dc03964c3f1e1ccbc34ac14c | 827 Bytes |
references/architecture-patterns.mdSHA-2562fc008821ab2b2e61dd66b33a210fdf7882957788d66fd2124c76215b4649de8 | 1.31 KB |
references/cdc-and-merge.mdSHA-25615bac78a69be6b2b49b8a63a7c35559b01691fe7991ead58fd07174a0ce9a947 | 1.28 KB |
references/core-invariants.mdSHA-256f7bf60f87e91276cf5ab971bd2045b318a05e5bb3304f4468521b1dec291a9f7 | 1.31 KB |
references/data-quality-reconciliation.mdSHA-2561d26ec8d608e9171a48c4666d6146886ac3fab82fe2e8303cea7d161bb465525 | 940 Bytes |
references/evidence-contract.mdSHA-2563e6aa480911d82de48d0ed22731dea9c6f1ee3d9165ff0855e53133f0422f974 | 967 Bytes |
references/fabric-onelake.mdSHA-256207bbfb8058987d82615bbb5d919122e6eef18e8449ea83d95280ef1ddf11bd2 | 1.27 KB |
references/incident-and-recovery.mdSHA-256c679371a5cdac68edfb173bde589a0a2cc7fbc268f61dfc11a54ac174c175265 | 1.05 KB |
references/migration-playbook.mdSHA-2569b2e9b7395a1d7aebcdbdd71df748ae84eb0c3f336239eb4f88d9d0bdfcc7bfb | 786 Bytes |
references/observability-and-cost.mdSHA-25644252090574daa3acc864e385646b6dc3e52ac18e72e41ad8ea58d3ad123bc61 | 782 Bytes |
references/official-sources.mdSHA-256f5365335f51db7c13ca90af833324448c04a56bfdfd70c78ad4a5991133a8247 | 1.57 KB |
references/orchestration-and-retries.mdSHA-256bee07eb20be0b3e02c4d0591e6ae3aefe9f47fdc3386bb74c9eabcb522860ace | 836 Bytes |
references/original/data_engineering_implementation_templates.mdSHA-256f3148c355cb9123f7f7b3f6b2edd22e340b8f6111c5a417c4129b7e6dc1d617a | 3.89 KB |
references/original/data_quality_observability_runbook.mdSHA-256d338c033526cb5e43f2aa9768477fd9fdbf26efef06fbf80a55a104024b89d7a | 2.26 KB |
references/original/official_source_registry.mdSHA-256edb655a931cd26b6f70c47e8ec54bac64e3914f4cf730da090d8f25520a0dd57 | 1.85 KB |
references/original/production_architecture_patterns.mdSHA-256ccf78cff9c36b74304d1727c5a40d69005afc130f3f52c03d2bb4da83413e4cf | 3.45 KB |
references/original/production_debug_playbooks.mdSHA-256afdbe3db100c0c466972efdab22fc9702bfaf1e0deee2575dfc894eace8ec208 | 4.89 KB |
references/original/spark_databricks_tuning_guide.mdSHA-2565d011c35bfb875d8706a8d45333f408c9b86a65cab1be02a971e71bd0f619191 | 3.14 KB |
references/original/streaming_cdc_recovery_patterns.mdSHA-256333b562974ce25fbcd4778f18665b7f37dd6853063ab29bb29910cc42dfb9283 | 2.63 KB |
references/schema-contracts.mdSHA-256245c72cadc30c2f05845b699107f5c12819ad67cf5f139a0459c30f6c65d13b0 | 1 KB |
references/security-governance.mdSHA-25679c5bddcd2d4c951580e781639b8d20e590643ddc2777922b4b4bab70ba916bf | 816 Bytes |
references/spark-performance.mdSHA-2561b3ebb8dd3714082ec76f7b2981ce66982647c8d8978901a3cffd1e8438c512f | 822 Bytes |
references/streaming-state.mdSHA-256febd3eca13db40347853dd34cff3f6b00add822073af70590875c4378ce6d8f3 | 1.16 KB |
references/testing-standards.mdSHA-2568a50b89bea19f4a2de69b7ff13ac099013dbc09d3a92ae3fdc36e39740aaef84 | 880 Bytes |
references/warehouse-dbt.mdSHA-256689856992688db8f15a29cd51cf13e922d80611b2a971879fb46dfe2a53e1ce1 | 1.05 KB |
scripts/reconcile_fixture.pySHA-2566b99ff4e14307dfe0ab12155276ebddb391c287b8088d3db5856022aba5ce4cd | 3.02 KB |
scripts/validate_package.pySHA-25662de9675ef11d3575ae7916aec9a7dfde77caa696e19546a8f63d1d2b936f3d8 | 3.87 KB |
skills/build-data-pipeline/SKILL.mdSHA-256e43d9e84232490c231e6510c8d2c27bd2f5a6ce3b7db8aa742a32ca9fe239449 | 1.42 KB |
skills/data-engineering/SKILL.mdSHA-25671c71cf4a044973c5f41bb14a266c0835dc43fbf4edbb2ee92e53ffd1620f3e0 | 2.44 KB |
skills/data-engineering/agents/openai.yamlSHA-256af2d5d2cd601be891ab4ded9d0c79ef30eb7a2a31a02f49594412bb55b93680f | 297 Bytes |
skills/data-engineering/assets/icon.svgSHA-256a8c3bd974c55475b5cc5b7ee4c1186676f032d60ae18910b19da2aa9b44b5223 | 59.2 KB |
skills/debug-data-pipeline/SKILL.mdSHA-2569395ddd0753849ca4de4cff170b5065469662328d481ca34a3ef79c7d0c7ff33 | 1.48 KB |
skills/design-cdc-pipeline/SKILL.mdSHA-256247b872dca044b60bdb29c1c80cbc835b5d3894b5d356b9781f71090a2a79b9c | 1.34 KB |
skills/design-data-quality/SKILL.mdSHA-2564bb6556f9685f952d7ce2ec3dc4f82e0a29e4b7d93bb074c116ded97715bad2e | 1.24 KB |
skills/design-fabric-lakehouse/SKILL.mdSHA-25632701da971fd46d3e8c1b854ecd40389196c7153236f28c2fa0a5b4a915963b3 | 1.42 KB |
skills/design-orchestration/SKILL.mdSHA-2568224bc43d293620089fb75d195979ddf89fcedca70e5f6f1de60c27b7943aa1a | 1.17 KB |
skills/design-streaming/SKILL.mdSHA-2563d9afc812a947fc87342b419d590e3ff6a98b0b2ded7a046aa07554344270bb6 | 1.36 KB |
skills/design-warehouse-dbt/SKILL.mdSHA-256e9e155b63c0863b4c1e8e5780a0049d1595564ec9d35748e9d98284b36df1d89 | 1.25 KB |
skills/modernize-data-platform/SKILL.mdSHA-2560753f718224c8b2a1f887f37a915bf805bb168219a4016b3ebcc62040f2b5661 | 1.23 KB |
skills/observe-data-platform/SKILL.mdSHA-25668154a109c7c42cedb7e975b6cec2c9a23ba6765d44f8dc0b372228742042925 | 1.15 KB |
skills/orchestrate-data-agents/SKILL.mdSHA-256aecfee1325a1c377ce916c7de0394c5294c5271f60e0a70248000d0426072efa | 1.38 KB |
skills/plan-backfill-replay/SKILL.mdSHA-25649bb6e12ee731cfa7f44cd23fefdb4ba30bf0e9b2a42abf1e9664980d822e0be | 1.26 KB |
skills/plan-data-platform/SKILL.mdSHA-256d9d6e02ab2195a30603120cbbbab960a8716a3c95de0e36939777d80e1316198 | 1.29 KB |
skills/respond-data-incident/SKILL.mdSHA-256996f11e9bcd659b2dddc8cded83f2af9c1214061d9f6a558bb980f8d56c3381f | 1.34 KB |
skills/review-data-model/SKILL.mdSHA-2561c13b5931b7af0091da6a92494db657063817ae32eb98a31163bcff51def04fd | 1.21 KB |
skills/secure-data-platform/SKILL.mdSHA-25674d79d5c07bc46fbddbbf272c74ece3dc24e090b7b7343b22d53cbe89db17989 | 1.18 KB |
skills/tune-spark-databricks/SKILL.mdSHA-256ad43682163894fa60484b5ad5b26d6070bb609d11b5afb514586fc68a461e281 | 1.12 KB |
templates/agent-handoff.mdSHA-2567d03b96edbaab8550401e65663a613221bebe9be59f959c10cff5e4af8ec0ed9 | 406 Bytes |
templates/architecture-brief.mdSHA-256563f30fcba76f82d953000ce960c6944750f6d35ffdd0cd8fd1a08be85f209dc | 704 Bytes |
templates/backfill-plan.mdSHA-2561565b213d2b3b68f4102709b5b93342346b1e6007e778c478387846728d6e25f | 581 Bytes |
templates/incident-brief.mdSHA-256c965210017b371c3b6db453397f653d4c321d97d3429637734cf1e77e2dae51a | 468 Bytes |
templates/model-contract.mdSHA-25607ce2194878f0a1847e5a32c552b237910aa0426de9675b76f4d95b653939d95 | 503 Bytes |
templates/quality-test-matrix.csvSHA-256f80035b7953d611a2bf985b2c3bdf47f9694410f29edbae2687ba2c5ed28076f | 389 Bytes |
templates/release-evidence.mdSHA-2562bc3c86f5ab20b96e2445ee6561324fdeafe7d3bf03afd35eac50e16bbbe8846 | 506 Bytes |
tests/test_reconcile_fixture.pySHA-256472ce2044f4dc054895ff201ba6ea68a55747e0ee6b634d0980a6ccfe9ea6a00 | 2.71 KB |
Files are archived as data; their code has not been executed. The package does not include private remote service code.