Astronomer Skills
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aip-user-stories
airflow/.agents/skills/aip-user-stories
Generate verified recipe playbooks from AIPs with PR implementations (post mode), or speculative user stories from AIPs without implementations (pre mode). Use…
airflow
agents/skills/airflow
Query, manage, and troubleshoot Apache Airflow DAGs, runs, tasks, and system configuration. Supports 30+ commands across DAG inspection, run management, task logging, configuration queries, and direct REST API access Manage multiple Airflow instances with persistent configuration; auto-discover local and Astro deployments Trigger DAG runs synchronously (wait for completion) or asynchronously, diagnose failures, clear runs for retry, and access task logs with retry/map-index filtering Output...
airflow-adapter
agents/astro-airflow-mcp/.claude/skills/airflow-adapter
Airflow adapter pattern for v2/v3 API compatibility. Use when working with adapters, version detection, or adding new API methods that need to work across…
airflow-hitl
agents/skills/airflow-hitl
Human approval gates, form inputs, and branching in Airflow DAGs using deferrable operators. Four operator types: ApprovalOperator for approve/reject decisions, HITLOperator for multi-option selection with forms, HITLBranchOperator for human-driven task routing, and HITLEntryOperator for form data collection All operators are deferrable, releasing worker slots while awaiting human response via Airflow UI's Required Actions tab or REST API Supports optional features including custom...
airflow-java-sdk
airflow/.agents/skills/airflow-java-sdk
Guide for contributing to the Airflow Java SDK (AIP-108). Use this skill whenever a contributor is working in the `java-sdk/` directory or on the Java…
airflow-new-sdk
airflow/.agents/skills/airflow-new-sdk
Guide for implementing a brand-new language SDK for Airflow (AIP-108). Use this skill when a contributor wants to add support for a new programming language —…
airflow-plugins
agents/skills/airflow-plugins
Build Airflow 3.1+ plugins that embed FastAPI apps, custom UI pages, React components, middleware, macros, and operator links directly into the Airflow UI. Use…
airflow-state-store
agents/skills/airflow-state-store
Persists task and asset state across retries and DAG runs using Airflow 3.3's AIP-103 key/value stores (`task_state_store`, `asset_state_store`) and the…
airflow-translations
airflow/.agents/skills/airflow-translations
Add or update translations for the Apache Airflow UI. Guides through setting up locales, scaffolding translation files, translating with locale-specific…
analyzing-data
agents/skills/analyzing-data
Query your data warehouse to answer business questions with cached patterns and concept mappings. Supports pattern lookup and caching for repeated question types, with outcome recording to improve future queries Includes concept-to-table mapping cache and table schema discovery via INFORMATION_SCHEMA or codebase grep Provides run_sql() and run_sql_pandas() kernel functions returning Polars or Pandas DataFrames for analysis CLI commands for managing concept, pattern, and table caches, plus...
annotating-task-lineage
agents/skills/annotating-task-lineage
Annotate Airflow tasks with data lineage using inlets and outlets. Supports OpenLineage Dataset objects, Airflow Assets, and Airflow Datasets for defining inputs and outputs across databases, data warehouses, and cloud storage Use as a fallback when operators lack built-in OpenLineage extractors; follows a four-tier precedence system where custom extractors and OpenLineage methods take priority Includes dataset naming helpers for Snowflake, BigQuery, S3, and PostgreSQL to ensure consistent...
authoring-dags
agents/skills/authoring-dags
Guided workflow for creating Apache Airflow DAGs with validation and testing integration. Structured six-phase approach: discover environment and existing patterns, plan DAG structure, implement following best practices, validate with af CLI commands, test with user consent, and iterate on fixes CLI commands for discovery ( af config connections , af config providers , af dags list ) and validation ( af dags errors , af dags get , af dags explore ) provide immediate feedback on DAG...
authoring-go-sdk-tasks
agents/skills/authoring-go-sdk-tasks
Writes Airflow task logic in Go using the Airflow Go SDK. Use when the user wants to implement Airflow tasks in Go, asks about `BundleProvider`/`RegisterDags`,…
authoring-java-sdk-tasks
agents/skills/authoring-java-sdk-tasks
Writes Airflow task logic in Java, Kotlin, or any JVM language using the Airflow Java SDK. Use when the user wants to implement Airflow tasks in Java/JVM, asks…
authoring-language-sdk-tasks
agents/skills/authoring-language-sdk-tasks
The language-neutral foundation for Airflow language SDKs — implement task logic in a non-Python language while the DAG stays in Python. Use when the user…
blueprint
agents/skills/blueprint
Define reusable Airflow task group templates with Pydantic validation and compose DAGs from YAML. Use when creating blueprint templates, composing DAGs from…
chart-tests
astronomer/.agents/skills/chart-tests
Use when writing, editing, reviewing, or running Helm chart tests for the Astronomer APC repository. Covers pytest patterns, render_chart() usage, sub-chart…
checking-freshness
agents/skills/checking-freshness
Verify data freshness by checking table timestamps and update patterns against a staleness scale. Identifies timestamp columns using common ETL naming patterns ( _loaded_at , _updated_at , created_at , etc.) and queries their maximum values to determine age Classifies data into four freshness statuses: Fresh (< 4 hours), Stale (4–24 hours), Very Stale (> 24 hours), or Unknown (no timestamp found) Provides SQL templates for checking last update time and row count trends over recent days to...
circleci
astronomer/.agents/skills/circleci
Use when writing, editing, or reviewing CircleCI configuration for the Astronomer APC repository. Covers script organization, inline vs external scripts, and…
configuring-airflow-language-sdks
agents/skills/configuring-airflow-language-sdks
Configures Airflow to run language SDK tasks (Go and future native SDKs) — register a coordinator, map a queue to it, ensure the runtime/artifact on workers,…
cosmos-dbt-core
agents/skills/cosmos-dbt-core
Convert dbt Core projects into Airflow DAGs or TaskGroups using Astronomer Cosmos. Supports three assembly patterns: standalone DbtDag, DbtTaskGroup within existing DAGs, and individual Cosmos operators for fine-grained control Choose from eight execution modes (WATCHER, LOCAL, VIRTUALENV, KUBERNETES, AIRFLOW_ASYNC, and others) based on isolation and performance needs Offers three parsing strategies (dbt_manifest, dbt_ls, dbt_ls_file, automatic) to balance speed and selector complexity...
cosmos-dbt-fusion
agents/skills/cosmos-dbt-fusion
Configure Astronomer Cosmos for dbt Fusion projects on Snowflake, Databricks, BigQuery, or Redshift with local execution. Requires Cosmos 1.11.0+, dbt Fusion binary installed separately in the Airflow runtime, and ExecutionMode.LOCAL with subprocess invocation Supports three parsing strategies: dbt_manifest (fastest for large projects), dbt_ls (for complex selectors), or automatic (simple setups) Covers ProfileConfig setup for warehouse connections, ProjectConfig for dbt project paths, and...
creating-openlineage-extractors
agents/skills/creating-openlineage-extractors
Custom OpenLineage extractors for unsupported Airflow operators and complex lineage scenarios. Two approaches: add OpenLineage methods directly to operators you own (recommended), or create custom extractors for third-party operators you cannot modify Extractors intercept operator execution at three points: before execution for static lineage, after success for runtime-determined outputs, and optionally after failure for partial lineage Register extractors via airflow.cfg or environment...
dag-factory
agents/skills/dag-factory
Author Apache Airflow DAGs declaratively with dag-factory YAML configs. Use when creating dag-factory templates, composing DAGs from YAML for dag-factory,…
debugging-dags
agents/skills/debugging-dags
Systematic root cause analysis and remediation for failed Airflow DAGs with structured investigation workflows. Guides through four-step diagnosis process: identify the failure, extract error details, gather contextual information, and deliver actionable remediation steps Categorizes failures into four types (data, code, infrastructure, dependency) to focus investigation and suggest appropriate fixes Provides ready-to-use CLI commands for log retrieval, run comparison, task clearing, and DAG...
delegating-to-otto
agents/skills/delegating-to-otto
Drives Astronomer's Otto agent (`astro otto`) as a delegated sub-agent for Airflow, dbt, and data-engineering work. Use when the user explicitly asks to "use…
deploying-airflow
agents/skills/deploying-airflow
Deploy Airflow DAGs and projects. Use when the user wants to deploy code, push DAGs, set up CI/CD, deploy to production, or asks about deployment strategies…
deploying-go-sdk-bundles
agents/skills/deploying-go-sdk-bundles
Builds, packs, and deploys compiled Airflow Go SDK bundles so the ExecutableCoordinator can run them. Use when the user wants to compile a Go task bundle, asks…
deploying-java-sdk-bundles
agents/skills/deploying-java-sdk-bundles
Builds and deploys compiled Airflow Java SDK bundles so workers can run them. Use when the user wants to package a JVM task bundle into a JAR, asks about the…
discovering-data
agents/skills/discovering-data
Discover and explore data for a concept or domain. Use when the user asks what data exists for a topic (e.g., "ARR", "customers", "orders"), wants to find…
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