init:
  version: 0.1.0
  description: Shared rules, secrets handling, and workspace MCP for dlt
  tags:
  - dlt
  - init
  - rules
  - secrets
  - mcp
  installed_at: '1970-01-01T00:00:00+00:00'
  agent: codex
  files:
    .agents/skills/improve-skills/SKILL.md:
      sha3_256: c52b222d82d101eaacbbf19d271d3f24b20d8e2bc70d49919d56144d448cd5c4
    .agents/skills/setup-secrets/SKILL.md:
      sha3_256: cec0417ff73959818936a113da042f923e99a0ae6ea4d47bca0d79fef0e783e5
    .agents/skills/setup-secrets/cli-reference.md:
      sha3_256: 75c153cbac239add05e8b986ed347326d9bf1b161a01cc0e072908d93073cce9
    .agents/skills/toolkit-dispatch/SKILL.md:
      sha3_256: 5cf2059c1c82275144a5ec8310b0ba27a0290a1a9c722cc41a098d4d1b938ebc
    .codexignore:
      sha3_256: 1aa4dc9286dd219dcb55399f388c5ee1f940ab5e399a42b644d488cba57a9ec0
    .agents/skills/init-dlthub-workspace/SKILL.md:
      sha3_256: a6de720aa98f0d1edc2dbe1781391f71740c8196d3d9f585bf2146190aca2b41
  mcp_servers:
  - dlt-workspace-mcp
  name: init
data-exploration:
  version: 0.1.0
  description: Quick insights from dlt pipeline data. Connect to a pipeline, profile
    tables, plan charts, and assemble marimo dashboards.
  tags:
  - dlt
  - marimo
  - ibis
  - data-exploration
  - dashboards
  - altair
  dependencies:
  - init
  workflow_entry_skill: explore-data
  installed_at: '1970-01-01T00:00:00+00:00'
  agent: codex
  files:
    .agents/skills/build-notebook/SKILL.md:
      sha3_256: f853f8ef20abcf409953760ef560f5842ef2792a9d2a561925b0bcc4f311ca2c
    .agents/skills/build-notebook/references/notebook-patterns.md:
      sha3_256: 96d80469820be9e1beddd10961b0a588da526c7678a0d12561e24f30e91037d3
    .agents/skills/explore-data/SKILL.md:
      sha3_256: bff422bf09e9f6cadc31cea2618232920e048f963ff5d5e9c9b96859c1ad5dda
    .agents/skills/explore-data/references/analysis-plan-format.md:
      sha3_256: 8fcb5223200f4e566432fda35be8b555b8a88274b9f1dc42c41a21c4d6ddbab5
    .agents/skills/explore-data/references/dlt-relation-api.md:
      sha3_256: 4145d283ab6c0bf87e5289460f0a951aa2163d6ae118dfdca69eef824f2d91ee
    .agents/skills/data-exploration-workflow/SKILL.md:
      sha3_256: 0f95637420cf0d3e08842dbc66e28935b74943bb6fa0e60175362e1c66309580
  name: data-exploration
data-quality:
  version: 0.1.0
  description: Add checks and metrics to dlt pipelines — inspect schema for candidates,
    define column-level validations and load metrics, run them on every pipeline load,
    and review results with failure diagnosis.
  tags:
  - dlt
  - data-quality
  - validation
  - checks
  - metrics
  dependencies:
  - init
  workflow_entry_skill: setup-data-quality
  installed_at: '1970-01-01T00:00:00+00:00'
  agent: codex
  files:
    .agents/skills/define-data-quality-checks/SKILL.md:
      sha3_256: 909c820c87ae3c8faf928ba42fb5a6d1c1906786dac62f9629e7d7a98ca638c6
    .agents/skills/review-data-quality/SKILL.md:
      sha3_256: 914f203a5064ff9c53b1d2bf511bcb0f5de65d3437930345a68acdc7da594ab8
    .agents/skills/run-data-quality/SKILL.md:
      sha3_256: 11e8ad8cc49135fa80acff8895999ab2ec276995889440a373d59b071da96964
    .agents/skills/setup-data-quality/SKILL.md:
      sha3_256: 547524d480323efda854bf7f32359410bb6cfb49a6f350f8b877cd1b89dabd04
    .agents/skills/data-quality-dq-rules/SKILL.md:
      sha3_256: 16d99324aaeb4307f4fb3844fad59a9d11a504055d8820715b7d412d27f748de
    .agents/skills/data-quality-workflow/SKILL.md:
      sha3_256: 4d780f736b6d33af952c715e2384429b25c22f46e51c025fc29a1b4d993a9e66
  name: data-quality
dlthub-platform:
  version: 0.1.2
  description: Deploy dlt workspace and pipelines to the dltHub Platform
  tags:
  - dlt
  - deploy
  - dlthub
  - platform
  dependencies:
  - init
  workflow_entry_skill: setup-runtime
  installed_at: '1970-01-01T00:00:00+00:00'
  agent: codex
  files:
    .agents/skills/debug-deployment/SKILL.md:
      sha3_256: abe021c4291ff456a57feee9b54c3e6b07c43fca82388384d80697e21459689b
    .agents/skills/deploy-workspace/SKILL.md:
      sha3_256: b4bb1ab71dfbb522808a5bc915a66ed24bd5bf88e09b3792d93a6bebe08764f1
    .agents/skills/deploy-workspace/advanced-patterns.md:
      sha3_256: 6ae7f2d23c83cc074c50902688b2253c429cd89c39b692568f9f2f5f40243db8
    .agents/skills/deploy-workspace/scheduling-triggers.md:
      sha3_256: 2dd11cd588d5b3972dcad8d4b2901f6513c2034c46ec86e9b25df61cb8b0e0fd
    .agents/skills/prepare-deployment/SKILL.md:
      sha3_256: e7461da7f937bef1650b998b99a4c4a796153987da8e3507d9c6bd5ed07d0e3c
    .agents/skills/prepare-deployment/check_destination.py:
      sha3_256: 34ff49ae54a875f34f7900612d76b31d7aaf00926cc80c40d689474af4d447ec
    .agents/skills/prepare-deployment/deployment-module.md:
      sha3_256: 7febda25e999ddd05551036eeff285758fef41c7a25ec7dedd41dfc2f1151d24
    .agents/skills/setup-runtime/SKILL.md:
      sha3_256: 098cd5c4ab2cef4c8da001cd4a36a5236340a48441e224cfe0f900c46119618e
    .agents/skills/dlthub-platform-profiles/SKILL.md:
      sha3_256: 458632b60a54ccb828a7e206ea91895ad3488735afc530476572c1929bce4b41
    .agents/skills/dlthub-platform-workflow/SKILL.md:
      sha3_256: 7b8885245d820928395f08f89f0dd8a0784cdd51ba3d4f73b56f093c18b28a8d
  name: dlthub-platform
filesystem-pipeline:
  version: 0.1.0
  description: Load files (CSV, Parquet, JSONL, or custom) from local disk, S3, GCS,
    Azure, or SFTP into a destination using dlt's filesystem source.
  tags:
  - dlt
  - filesystem
  - s3
  - gcs
  - azure
  - sftp
  - csv
  - parquet
  - jsonl
  dependencies:
  - init
  workflow_entry_skill: create-filesystem-pipeline
  installed_at: '1970-01-01T00:00:00+00:00'
  agent: codex
  files:
    .agents/skills/add-incremental-loading/SKILL.md:
      sha3_256: 71651e931da9336eafb103bd5f33826075df7c167d9ce32279031282305fc1cc
    .agents/skills/create-filesystem-pipeline/SKILL.md:
      sha3_256: 98f4df9c847c6be29bf38f309418f4bc2b09f1eefe141d205583115d4a1885dd
    .agents/skills/filesystem-pipeline-workflow/SKILL.md:
      sha3_256: 28c4e3c09fcddf32423105fdde85c1f328dd165c3474d8d70ddbe09ef7203f1a
  name: filesystem-pipeline
rest-api-pipeline:
  version: 0.1.0
  description: 'Build REST API pipelines with dlt: scope, debug and validate data'
  tags:
  - dlt
  - etl
  - data-pipeline
  - python
  dependencies:
  - init
  workflow_entry_skill: find-source
  installed_at: '1970-01-01T00:00:00+00:00'
  agent: codex
  files:
    .agents/skills/adjust-endpoint/SKILL.md:
      sha3_256: 19a5bea2699788d3a8796d6651ce908d3a173a6a76e7fd7b15bcff4827ab3ce9
    .agents/skills/create-rest-api-pipeline/SKILL.md:
      sha3_256: df0bfc630024d13665f8995d34b4716479ddd8d5b874650a21cf3546ccfb78f2
    .agents/skills/debug-pipeline/SKILL.md:
      sha3_256: c4132cb2eb47f6cff3b0388a85e95e47633050a6e8148f3062b3b279c808be0d
    .agents/skills/find-source/SKILL.md:
      sha3_256: 79565aa6a261898babdfe85442ed9405cc3ddd746178bbd381122a8eb61e7491
    .agents/skills/new-endpoint/SKILL.md:
      sha3_256: 6562b4ef49d0934550904b8b1b0e29c0ed5cb3d6ab9caa453cad68f9c8bb209e
    .agents/skills/validate-data/SKILL.md:
      sha3_256: f05396405ad5981a912246e0747a5de51d70f69f840bf42a20d4ae9cc466a4ca
    .agents/skills/view-data/SKILL.md:
      sha3_256: 3402cd3743aa6cda5533053640d77deaac3f1c8cdb982bcfbff7c6fe677bc0c8
    .agents/skills/rest-api-pipeline-workflow/SKILL.md:
      sha3_256: 4199eebfdb21b54a9e3f30d3e0e46cd2ff70d7b86579f63625c79c207cff902b
  mcp_servers:
  - dlt-workspace-mcp
  name: rest-api-pipeline
sql-database-pipeline:
  version: 0.1.0
  description: 'Build SQL database pipelines with dlt: connect to any SQL source,
    load tables to a destination, tune performance with backends'
  tags:
  - dlt
  - etl
  - data-pipeline
  - python
  - sql
  - database
  dependencies:
  - init
  workflow_entry_skill: find-source
  installed_at: '1970-01-01T00:00:00+00:00'
  agent: codex
  files:
    .agents/skills/add-table/SKILL.md:
      sha3_256: 3bfd4cb487748055e6d52106bff21364292860e872a98245c705c1f75f7c5435
    .agents/skills/adjust-table/SKILL.md:
      sha3_256: ca6662f2924086621d0553c3151e43ad31105fb0df6fae84b1bbed768b470b87
    .agents/skills/create-sql-database-pipeline/SKILL.md:
      sha3_256: 90b52616aa42b95013c86be314625d7fd2b1a5b69ffc5bdf8ce769be6cd1eb51
    .agents/skills/debug-pipeline/SKILL.md:
      sha3_256: ba1c3bac833d63b4f56d0639cbbf8b6a5d8d901a24b7cea0a06efc0ae601f883
    .agents/skills/find-source/SKILL.md:
      sha3_256: 2e3da4ff822a66feed63ec315114b1317e9cba062f96e57ee02e0ee651fa0048
    .agents/skills/validate-data/SKILL.md:
      sha3_256: c418cac9d1a685e2c7db71d9a90ae1e74e9b57fc4961028369bb1784d762e7f4
    .agents/skills/view-data/SKILL.md:
      sha3_256: 861538e8835b3f0edc920028d128fdf40577e7837ad4b81c35faa9774e839b5c
    .agents/skills/sql-database-pipeline-workflow/SKILL.md:
      sha3_256: 0b36a2f1801b324ecf9662b470ae6ec73368c350482fc88da2a3620957318b7b
  mcp_servers:
  - dlt-workspace-mcp
  name: sql-database-pipeline
transformations:
  version: 0.1.0
  description: Transform raw dlt pipeline data into a Canonical Data Model. Build
    an ontology, design a CDM with Kimball dimensional modeling, write @dlt.hub.transformation
    functions, and validate the output.
  tags:
  - dlt
  - transformation
  - cdm
  - kimball
  - ibis
  - dimensional-modeling
  dependencies:
  - init
  workflow_entry_skill: annotate-sources
  installed_at: '1970-01-01T00:00:00+00:00'
  agent: codex
  files:
    .agents/skills/annotate-sources/SKILL.md:
      sha3_256: 98316fda6abfb9b89b1eec865a0d9bcf206ea211fd2610033ca37c839ace2bc9
    .agents/skills/create-ontology/SKILL.md:
      sha3_256: 1292232346aa3a31f78652d2b188c83d4f4df77b055d673be8dc4e0eb5c1c541
    .agents/skills/create-transformation/SKILL.md:
      sha3_256: 1db3d95cc9846bf1e38fd1fcc2d9d1c01264a88f22e2e7a590adede98ebfbc05
    .agents/skills/generate-cdm/SKILL.md:
      sha3_256: 6f4e7ac39c43f2af30bcce41976a844d97ecb996bd1dca74956eee72dd41c003
    .agents/skills/transformations-workflow/SKILL.md:
      sha3_256: fb16cab4288a7931503177941a58a8f248447fb7a7aeb812278d68e7bbd3889a
  mcp_servers:
  - dlt-workspace-mcp
