[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-astronomer-authoring-language-sdk-tasks":3,"mdc--wftaff-key":52,"related-repo-astronomer-authoring-language-sdk-tasks":1052,"related-org-astronomer-authoring-language-sdk-tasks":1153},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":11,"stars":22,"repoUrl":23,"updatedAt":24,"license":25,"forks":26,"topics":27,"repo":47,"sourceUrl":50,"mdContent":51},"authoring-language-sdk-tasks","implement non-Python Airflow 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 wants to run an Airflow task in another language (Java, Kotlin, Go, or other JVM\u002Fnative languages), asks how the Python `@task.stub` pairs with native task code, how task\u002FDAG IDs must match across the two sides, how data passes via XCom as JSON, or which language SDKs exist. This skill owns the shared Python-stub pattern and conceptual model; for a specific language's native API, build, and runtime, use that language's skill (e.g. authoring-java-sdk-tasks, authoring-go-sdk-tasks).",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},"astronomer","Astronomer","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Fastronomer.png",[12,16,19],{"name":13,"slug":14,"type":15},"Airflow","airflow","tag",{"name":17,"slug":18,"type":15},"Data Pipeline","data-pipeline",{"name":20,"slug":21,"type":15},"Engineering","engineering",412,"https:\u002F\u002Fgithub.com\u002Fastronomer\u002Fagents","2026-07-18T05:11:54.496539",null,55,[28,29,30,31,14,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46],"agentic-workflow","agents","ai","ai-agents","apache-airflow","claude","cursor","dag","data-engineering","data-pipelines","dbt","llm","mcp","orchestrator","skills","workflow-automation","workflow-management","workflow-orchestration","workflows",{"repoUrl":23,"stars":22,"forks":26,"topics":48,"description":49},[28,29,30,31,14,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46],"AI agent tooling for data engineering workflows.","https:\u002F\u002Fgithub.com\u002Fastronomer\u002Fagents\u002Ftree\u002FHEAD\u002Fskills\u002Fauthoring-language-sdk-tasks","---\nname: authoring-language-sdk-tasks\ndescription: 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 wants to run an Airflow task in another language (Java, Kotlin, Go, or other JVM\u002Fnative languages), asks how the Python `@task.stub` pairs with native task code, how task\u002FDAG IDs must match across the two sides, how data passes via XCom as JSON, or which language SDKs exist. This skill owns the shared Python-stub pattern and conceptual model; for a specific language's native API, build, and runtime, use that language's skill (e.g. authoring-java-sdk-tasks, authoring-go-sdk-tasks).\n---\n\n# Authoring Language SDK Tasks (Shared Foundation)\n\nAirflow language SDKs let you implement task logic in a language other than Python while the DAG and its scheduling stay in Python. This skill describes the parts that are identical across every language SDK. Each language has its own companion skill for the native API, build tooling, and runtime — see [Per-language skills](#per-language-skills).\n\n> **Experimental.** The language SDKs are in preview. APIs and artifact coordinates may change.\n\n---\n\n## The model\n\nA DAG is authored in Python as usual. Tasks that should run in another language are declared as **stubs** routed to a dedicated queue. At runtime, Airflow hands a stub task to a **coordinator** that launches a short-lived **native subprocess** for that one task instance, runs your compiled\u002Fnative code, and shuts the subprocess down.\n\nConsequences that hold for every language SDK:\n\n- **One subprocess per task instance** — there is no shared in-process state between task instances. Pass data via XCom or an external store.\n- **The DAG, schedule, retries, and queue routing live in Python.** The native side only implements task logic.\n- **Data crossing the boundary is JSON.** See [The XCom-as-JSON contract](#the-xcom-as-json-contract).\n\n---\n\n## The two-sided model\n\nEvery task has two halves that must agree:\n\n1. A **Python stub** in a normal DAG file — no logic; it declares the task, its queue, the dependency graph, and retry policy.\n2. A **native implementation** (Java, Go, etc.) whose IDs match the Python side and where the work happens.\n\n### Python side (scheduling)\n\nThe example below uses the Go SDK to be concrete, but the Python side is **identical for every language SDK**. The queue name (`\"golang\"` here) is an arbitrary label you choose — it just has to match a key in `queue_to_coordinator` (see **configuring-airflow-language-sdks**). Pick whatever name fits the SDK you're routing to.\n\n```python\nfrom datetime import timedelta\nfrom airflow.sdk import dag, task\n\n\n@dag\ndef sales_pipeline():\n    @task.stub(queue=\"golang\")          # queue selects the coordinator (see configuring-airflow-language-sdks)\n    def extract(): ...\n\n    @task.stub(queue=\"golang\")\n    def transform(extracted): ...        # arg only declares the dependency\n\n    @task.stub(queue=\"golang\", retries=1, retry_delay=timedelta(seconds=5))\n    def load(transformed): ...\n\n    @task()                              # an ordinary Python task can sit downstream\n    def report(loaded):\n        print(f\"done: {loaded}\")\n\n    report(load(transform(extract())))\n\n\nsales_pipeline()\n```\n\nRules that apply regardless of language:\n\n- The **stub function name is the task ID** and the `@dag` name (or `dag_id=`) is the DAG ID. The native side must use these exact IDs.\n- An upstream argument on a stub (e.g. `transform(extracted)`) exists **only to declare the dependency** in Python. The value itself is fetched on the native side via XCom — passing it in Python does not hand it to the native code.\n- **Queue, retries, and other task arguments are set on the stub**, not in the native code. A native task that fails is reported back to Airflow, which then applies the stub's retry policy.\n- The `queue` value is what routes the task to a coordinator; the same string must appear in `queue_to_coordinator` (see **configuring-airflow-language-sdks**).\n\n---\n\n## The XCom-as-JSON contract\n\nXCom values are stored as JSON in Airflow's metadata database, so the boundary between Python and any native language is JSON. The Python\u002FJSON side is the same for every SDK:\n\n| Python type | JSON |\n|-------------|------|\n| `int` | number (integer) |\n| `float` | number (decimal) |\n| `str` | string |\n| `bool` | boolean |\n| `None` | null |\n| `list` | array |\n| `dict` | object |\n\nEach language SDK maps these JSON types onto its own native types (e.g. a JSON integer becomes a Java `Long`). The native-type mapping lives in that language's skill. The key portability rule: a value pushed by one task is read by another **as JSON**, so the consuming side must expect a type compatible with what was stored.\n\n---\n\n## What is language-specific (and lives elsewhere)\n\nThis skill deliberately stops at the shared concepts. The following differ per language and are documented in each language's companion skills:\n\n- **Native task API** — how you declare tasks, read connections\u002Fvariables\u002FXComs, and push results (annotations, interfaces, function registration, etc.).\n- **Native type mapping** — the native column of the JSON table above.\n- **Build and packaging** — how the artifact is compiled and bundled.\n- **Runtime prerequisite** — what must be present on the worker (a language runtime for some SDKs, e.g. a JRE for the Java SDK; none for the Go SDK's self-contained bundles).\n\nThe Airflow-side wiring (which coordinator runs which queue) is shared in structure but has per-coordinator options; it lives in **configuring-airflow-language-sdks**.\n\n---\n\n## Language-agnostic pitfalls\n\n- **IDs must match exactly** across the Python stub function name and the native task ID, and across `@dag`\u002F`dag_id` and the native DAG ID. Mismatches surface as \"no DAGs\" or missing-XCom errors.\n- **Both sides need the upstream reference.** Python declares the dependency by passing the upstream call; the native code retrieves the value via XCom.\n- **Set queue and retries on the stub**, never in the native code.\n- **Stub bodies must be empty.** An AST check enforces it — only `pass`, `...`, or a docstring is allowed in the body; any real logic is rejected.\n- **`retry_policy` is rejected on stubs** (`@task.stub` raises `ValueError`). Use `retries`\u002F`retry_delay` instead — a retry-policy callable runs Python in-process and would never fire for a task executing in a native subprocess.\n- Assets, deferral, and some other Airflow features have limited or no support in the language SDKs today.\n\n---\n\n## Per-language skills\n\n- **authoring-java-sdk-tasks**: Java\u002FKotlin\u002FJVM native API, type mapping, and logging.\n- **authoring-go-sdk-tasks**: Go native API — task registration, dependency injection by parameter type, and client access.\n- *(Future language SDKs each add their own `authoring-\u003Clang>-sdk-tasks` skill that builds on this one.)*\n\n## Related Skills\n\n- **configuring-airflow-language-sdks**: Route a queue to a coordinator and set runtime options.\n- **authoring-dags**: General Airflow DAG authoring (the Python side lives here too).\n- **deploying-java-sdk-bundles**: Build and ship the Java artifact.\n- **deploying-go-sdk-bundles**: Build, pack, and ship the Go bundle (per-language deploy skills follow the same shape).\n",{"data":53,"body":54},{"name":4,"description":6},{"type":55,"children":56},"root",[57,66,81,96,100,107,133,138,180,183,189,194,221,228,264,478,483,568,571,576,581,728,748,751,757,762,805,815,818,824,950,953,958,998,1004,1046],{"type":58,"tag":59,"props":60,"children":62},"element","h1",{"id":61},"authoring-language-sdk-tasks-shared-foundation",[63],{"type":64,"value":65},"text","Authoring Language SDK Tasks (Shared Foundation)",{"type":58,"tag":67,"props":68,"children":69},"p",{},[70,72,79],{"type":64,"value":71},"Airflow language SDKs let you implement task logic in a language other than Python while the DAG and its scheduling stay in Python. This skill describes the parts that are identical across every language SDK. Each language has its own companion skill for the native API, build tooling, and runtime — see ",{"type":58,"tag":73,"props":74,"children":76},"a",{"href":75},"#per-language-skills",[77],{"type":64,"value":78},"Per-language skills",{"type":64,"value":80},".",{"type":58,"tag":82,"props":83,"children":84},"blockquote",{},[85],{"type":58,"tag":67,"props":86,"children":87},{},[88,94],{"type":58,"tag":89,"props":90,"children":91},"strong",{},[92],{"type":64,"value":93},"Experimental.",{"type":64,"value":95}," The language SDKs are in preview. APIs and artifact coordinates may change.",{"type":58,"tag":97,"props":98,"children":99},"hr",{},[],{"type":58,"tag":101,"props":102,"children":104},"h2",{"id":103},"the-model",[105],{"type":64,"value":106},"The model",{"type":58,"tag":67,"props":108,"children":109},{},[110,112,117,119,124,126,131],{"type":64,"value":111},"A DAG is authored in Python as usual. Tasks that should run in another language are declared as ",{"type":58,"tag":89,"props":113,"children":114},{},[115],{"type":64,"value":116},"stubs",{"type":64,"value":118}," routed to a dedicated queue. 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Pass data via XCom or an external store.",{"type":58,"tag":143,"props":154,"children":155},{},[156,161],{"type":58,"tag":89,"props":157,"children":158},{},[159],{"type":64,"value":160},"The DAG, schedule, retries, and queue routing live in Python.",{"type":64,"value":162}," The native side only implements task logic.",{"type":58,"tag":143,"props":164,"children":165},{},[166,171,173,179],{"type":58,"tag":89,"props":167,"children":168},{},[169],{"type":64,"value":170},"Data crossing the boundary is JSON.",{"type":64,"value":172}," See ",{"type":58,"tag":73,"props":174,"children":176},{"href":175},"#the-xcom-as-json-contract",[177],{"type":64,"value":178},"The XCom-as-JSON contract",{"type":64,"value":80},{"type":58,"tag":97,"props":181,"children":182},{},[],{"type":58,"tag":101,"props":184,"children":186},{"id":185},"the-two-sided-model",[187],{"type":64,"value":188},"The two-sided model",{"type":58,"tag":67,"props":190,"children":191},{},[192],{"type":64,"value":193},"Every task has two halves that must agree:",{"type":58,"tag":195,"props":196,"children":197},"ol",{},[198,210],{"type":58,"tag":143,"props":199,"children":200},{},[201,203,208],{"type":64,"value":202},"A ",{"type":58,"tag":89,"props":204,"children":205},{},[206],{"type":64,"value":207},"Python stub",{"type":64,"value":209}," in a normal DAG file — no logic; it declares the task, its queue, the dependency graph, and retry policy.",{"type":58,"tag":143,"props":211,"children":212},{},[213,214,219],{"type":64,"value":202},{"type":58,"tag":89,"props":215,"children":216},{},[217],{"type":64,"value":218},"native implementation",{"type":64,"value":220}," (Java, Go, etc.) whose IDs match the Python side and where the work happens.",{"type":58,"tag":222,"props":223,"children":225},"h3",{"id":224},"python-side-scheduling",[226],{"type":64,"value":227},"Python side (scheduling)",{"type":58,"tag":67,"props":229,"children":230},{},[231,233,238,240,247,249,255,257,262],{"type":64,"value":232},"The example below uses the Go SDK to be concrete, but the Python side is ",{"type":58,"tag":89,"props":234,"children":235},{},[236],{"type":64,"value":237},"identical for every language SDK",{"type":64,"value":239},". The queue name (",{"type":58,"tag":241,"props":242,"children":244},"code",{"className":243},[],[245],{"type":64,"value":246},"\"golang\"",{"type":64,"value":248}," here) is an arbitrary label you choose — it just has to match a key in ",{"type":58,"tag":241,"props":250,"children":252},{"className":251},[],[253],{"type":64,"value":254},"queue_to_coordinator",{"type":64,"value":256}," (see ",{"type":58,"tag":89,"props":258,"children":259},{},[260],{"type":64,"value":261},"configuring-airflow-language-sdks",{"type":64,"value":263},"). Pick whatever name fits the SDK you're routing to.",{"type":58,"tag":265,"props":266,"children":271},"pre",{"className":267,"code":268,"language":269,"meta":270,"style":270},"language-python shiki shiki-themes material-theme-lighter material-theme material-theme-palenight","from datetime import timedelta\nfrom airflow.sdk import dag, task\n\n\n@dag\ndef sales_pipeline():\n    @task.stub(queue=\"golang\")          # queue selects the coordinator (see configuring-airflow-language-sdks)\n    def extract(): ...\n\n    @task.stub(queue=\"golang\")\n    def transform(extracted): ...        # arg only declares the dependency\n\n    @task.stub(queue=\"golang\", retries=1, retry_delay=timedelta(seconds=5))\n    def load(transformed): ...\n\n    @task()                              # an ordinary Python task can sit downstream\n    def report(loaded):\n        print(f\"done: {loaded}\")\n\n    report(load(transform(extract())))\n\n\nsales_pipeline()\n","python","",[272],{"type":58,"tag":241,"props":273,"children":274},{"__ignoreMap":270},[275,286,295,305,313,322,331,340,349,357,366,375,383,392,401,409,418,427,436,444,453,461,469],{"type":58,"tag":276,"props":277,"children":280},"span",{"class":278,"line":279},"line",1,[281],{"type":58,"tag":276,"props":282,"children":283},{},[284],{"type":64,"value":285},"from datetime import timedelta\n",{"type":58,"tag":276,"props":287,"children":289},{"class":278,"line":288},2,[290],{"type":58,"tag":276,"props":291,"children":292},{},[293],{"type":64,"value":294},"from airflow.sdk import dag, task\n",{"type":58,"tag":276,"props":296,"children":298},{"class":278,"line":297},3,[299],{"type":58,"tag":276,"props":300,"children":302},{"emptyLinePlaceholder":301},true,[303],{"type":64,"value":304},"\n",{"type":58,"tag":276,"props":306,"children":308},{"class":278,"line":307},4,[309],{"type":58,"tag":276,"props":310,"children":311},{"emptyLinePlaceholder":301},[312],{"type":64,"value":304},{"type":58,"tag":276,"props":314,"children":316},{"class":278,"line":315},5,[317],{"type":58,"tag":276,"props":318,"children":319},{},[320],{"type":64,"value":321},"@dag\n",{"type":58,"tag":276,"props":323,"children":325},{"class":278,"line":324},6,[326],{"type":58,"tag":276,"props":327,"children":328},{},[329],{"type":64,"value":330},"def sales_pipeline():\n",{"type":58,"tag":276,"props":332,"children":334},{"class":278,"line":333},7,[335],{"type":58,"tag":276,"props":336,"children":337},{},[338],{"type":64,"value":339},"    @task.stub(queue=\"golang\")          # queue selects the coordinator (see configuring-airflow-language-sdks)\n",{"type":58,"tag":276,"props":341,"children":343},{"class":278,"line":342},8,[344],{"type":58,"tag":276,"props":345,"children":346},{},[347],{"type":64,"value":348},"    def extract(): ...\n",{"type":58,"tag":276,"props":350,"children":352},{"class":278,"line":351},9,[353],{"type":58,"tag":276,"props":354,"children":355},{"emptyLinePlaceholder":301},[356],{"type":64,"value":304},{"type":58,"tag":276,"props":358,"children":360},{"class":278,"line":359},10,[361],{"type":58,"tag":276,"props":362,"children":363},{},[364],{"type":64,"value":365},"    @task.stub(queue=\"golang\")\n",{"type":58,"tag":276,"props":367,"children":369},{"class":278,"line":368},11,[370],{"type":58,"tag":276,"props":371,"children":372},{},[373],{"type":64,"value":374},"    def transform(extracted): ...        # arg only declares the dependency\n",{"type":58,"tag":276,"props":376,"children":378},{"class":278,"line":377},12,[379],{"type":58,"tag":276,"props":380,"children":381},{"emptyLinePlaceholder":301},[382],{"type":64,"value":304},{"type":58,"tag":276,"props":384,"children":386},{"class":278,"line":385},13,[387],{"type":58,"tag":276,"props":388,"children":389},{},[390],{"type":64,"value":391},"    @task.stub(queue=\"golang\", retries=1, retry_delay=timedelta(seconds=5))\n",{"type":58,"tag":276,"props":393,"children":395},{"class":278,"line":394},14,[396],{"type":58,"tag":276,"props":397,"children":398},{},[399],{"type":64,"value":400},"    def load(transformed): ...\n",{"type":58,"tag":276,"props":402,"children":404},{"class":278,"line":403},15,[405],{"type":58,"tag":276,"props":406,"children":407},{"emptyLinePlaceholder":301},[408],{"type":64,"value":304},{"type":58,"tag":276,"props":410,"children":412},{"class":278,"line":411},16,[413],{"type":58,"tag":276,"props":414,"children":415},{},[416],{"type":64,"value":417},"    @task()                              # an ordinary Python task can sit downstream\n",{"type":58,"tag":276,"props":419,"children":421},{"class":278,"line":420},17,[422],{"type":58,"tag":276,"props":423,"children":424},{},[425],{"type":64,"value":426},"    def report(loaded):\n",{"type":58,"tag":276,"props":428,"children":430},{"class":278,"line":429},18,[431],{"type":58,"tag":276,"props":432,"children":433},{},[434],{"type":64,"value":435},"        print(f\"done: {loaded}\")\n",{"type":58,"tag":276,"props":437,"children":439},{"class":278,"line":438},19,[440],{"type":58,"tag":276,"props":441,"children":442},{"emptyLinePlaceholder":301},[443],{"type":64,"value":304},{"type":58,"tag":276,"props":445,"children":447},{"class":278,"line":446},20,[448],{"type":58,"tag":276,"props":449,"children":450},{},[451],{"type":64,"value":452},"    report(load(transform(extract())))\n",{"type":58,"tag":276,"props":454,"children":456},{"class":278,"line":455},21,[457],{"type":58,"tag":276,"props":458,"children":459},{"emptyLinePlaceholder":301},[460],{"type":64,"value":304},{"type":58,"tag":276,"props":462,"children":464},{"class":278,"line":463},22,[465],{"type":58,"tag":276,"props":466,"children":467},{"emptyLinePlaceholder":301},[468],{"type":64,"value":304},{"type":58,"tag":276,"props":470,"children":472},{"class":278,"line":471},23,[473],{"type":58,"tag":276,"props":474,"children":475},{},[476],{"type":64,"value":477},"sales_pipeline()\n",{"type":58,"tag":67,"props":479,"children":480},{},[481],{"type":64,"value":482},"Rules that apply regardless of language:",{"type":58,"tag":139,"props":484,"children":485},{},[486,514,534,544],{"type":58,"tag":143,"props":487,"children":488},{},[489,491,496,498,504,506,512],{"type":64,"value":490},"The ",{"type":58,"tag":89,"props":492,"children":493},{},[494],{"type":64,"value":495},"stub function name is the task ID",{"type":64,"value":497}," and the ",{"type":58,"tag":241,"props":499,"children":501},{"className":500},[],[502],{"type":64,"value":503},"@dag",{"type":64,"value":505}," name (or ",{"type":58,"tag":241,"props":507,"children":509},{"className":508},[],[510],{"type":64,"value":511},"dag_id=",{"type":64,"value":513},") is the DAG ID. The native side must use these exact IDs.",{"type":58,"tag":143,"props":515,"children":516},{},[517,519,525,527,532],{"type":64,"value":518},"An upstream argument on a stub (e.g. ",{"type":58,"tag":241,"props":520,"children":522},{"className":521},[],[523],{"type":64,"value":524},"transform(extracted)",{"type":64,"value":526},") exists ",{"type":58,"tag":89,"props":528,"children":529},{},[530],{"type":64,"value":531},"only to declare the dependency",{"type":64,"value":533}," in Python. The value itself is fetched on the native side via XCom — passing it in Python does not hand it to the native code.",{"type":58,"tag":143,"props":535,"children":536},{},[537,542],{"type":58,"tag":89,"props":538,"children":539},{},[540],{"type":64,"value":541},"Queue, retries, and other task arguments are set on the stub",{"type":64,"value":543},", not in the native code. A native task that fails is reported back to Airflow, which then applies the stub's retry policy.",{"type":58,"tag":143,"props":545,"children":546},{},[547,548,554,556,561,562,566],{"type":64,"value":490},{"type":58,"tag":241,"props":549,"children":551},{"className":550},[],[552],{"type":64,"value":553},"queue",{"type":64,"value":555}," value is what routes the task to a coordinator; the same string must appear in ",{"type":58,"tag":241,"props":557,"children":559},{"className":558},[],[560],{"type":64,"value":254},{"type":64,"value":256},{"type":58,"tag":89,"props":563,"children":564},{},[565],{"type":64,"value":261},{"type":64,"value":567},").",{"type":58,"tag":97,"props":569,"children":570},{},[],{"type":58,"tag":101,"props":572,"children":574},{"id":573},"the-xcom-as-json-contract",[575],{"type":64,"value":178},{"type":58,"tag":67,"props":577,"children":578},{},[579],{"type":64,"value":580},"XCom values are stored as JSON in Airflow's metadata database, so the boundary between Python and any native language is JSON. The Python\u002FJSON side is the same for every SDK:",{"type":58,"tag":582,"props":583,"children":584},"table",{},[585,604],{"type":58,"tag":586,"props":587,"children":588},"thead",{},[589],{"type":58,"tag":590,"props":591,"children":592},"tr",{},[593,599],{"type":58,"tag":594,"props":595,"children":596},"th",{},[597],{"type":64,"value":598},"Python type",{"type":58,"tag":594,"props":600,"children":601},{},[602],{"type":64,"value":603},"JSON",{"type":58,"tag":605,"props":606,"children":607},"tbody",{},[608,626,643,660,677,694,711],{"type":58,"tag":590,"props":609,"children":610},{},[611,621],{"type":58,"tag":612,"props":613,"children":614},"td",{},[615],{"type":58,"tag":241,"props":616,"children":618},{"className":617},[],[619],{"type":64,"value":620},"int",{"type":58,"tag":612,"props":622,"children":623},{},[624],{"type":64,"value":625},"number (integer)",{"type":58,"tag":590,"props":627,"children":628},{},[629,638],{"type":58,"tag":612,"props":630,"children":631},{},[632],{"type":58,"tag":241,"props":633,"children":635},{"className":634},[],[636],{"type":64,"value":637},"float",{"type":58,"tag":612,"props":639,"children":640},{},[641],{"type":64,"value":642},"number (decimal)",{"type":58,"tag":590,"props":644,"children":645},{},[646,655],{"type":58,"tag":612,"props":647,"children":648},{},[649],{"type":58,"tag":241,"props":650,"children":652},{"className":651},[],[653],{"type":64,"value":654},"str",{"type":58,"tag":612,"props":656,"children":657},{},[658],{"type":64,"value":659},"string",{"type":58,"tag":590,"props":661,"children":662},{},[663,672],{"type":58,"tag":612,"props":664,"children":665},{},[666],{"type":58,"tag":241,"props":667,"children":669},{"className":668},[],[670],{"type":64,"value":671},"bool",{"type":58,"tag":612,"props":673,"children":674},{},[675],{"type":64,"value":676},"boolean",{"type":58,"tag":590,"props":678,"children":679},{},[680,689],{"type":58,"tag":612,"props":681,"children":682},{},[683],{"type":58,"tag":241,"props":684,"children":686},{"className":685},[],[687],{"type":64,"value":688},"None",{"type":58,"tag":612,"props":690,"children":691},{},[692],{"type":64,"value":693},"null",{"type":58,"tag":590,"props":695,"children":696},{},[697,706],{"type":58,"tag":612,"props":698,"children":699},{},[700],{"type":58,"tag":241,"props":701,"children":703},{"className":702},[],[704],{"type":64,"value":705},"list",{"type":58,"tag":612,"props":707,"children":708},{},[709],{"type":64,"value":710},"array",{"type":58,"tag":590,"props":712,"children":713},{},[714,723],{"type":58,"tag":612,"props":715,"children":716},{},[717],{"type":58,"tag":241,"props":718,"children":720},{"className":719},[],[721],{"type":64,"value":722},"dict",{"type":58,"tag":612,"props":724,"children":725},{},[726],{"type":64,"value":727},"object",{"type":58,"tag":67,"props":729,"children":730},{},[731,733,739,741,746],{"type":64,"value":732},"Each language SDK maps these JSON types onto its own native types (e.g. a JSON integer becomes a Java ",{"type":58,"tag":241,"props":734,"children":736},{"className":735},[],[737],{"type":64,"value":738},"Long",{"type":64,"value":740},"). The native-type mapping lives in that language's skill. The key portability rule: a value pushed by one task is read by another ",{"type":58,"tag":89,"props":742,"children":743},{},[744],{"type":64,"value":745},"as JSON",{"type":64,"value":747},", so the consuming side must expect a type compatible with what was stored.",{"type":58,"tag":97,"props":749,"children":750},{},[],{"type":58,"tag":101,"props":752,"children":754},{"id":753},"what-is-language-specific-and-lives-elsewhere",[755],{"type":64,"value":756},"What is language-specific (and lives elsewhere)",{"type":58,"tag":67,"props":758,"children":759},{},[760],{"type":64,"value":761},"This skill deliberately stops at the shared concepts. The following differ per language and are documented in each language's companion skills:",{"type":58,"tag":139,"props":763,"children":764},{},[765,775,785,795],{"type":58,"tag":143,"props":766,"children":767},{},[768,773],{"type":58,"tag":89,"props":769,"children":770},{},[771],{"type":64,"value":772},"Native task API",{"type":64,"value":774}," — how you declare tasks, read connections\u002Fvariables\u002FXComs, and push results (annotations, interfaces, function registration, etc.).",{"type":58,"tag":143,"props":776,"children":777},{},[778,783],{"type":58,"tag":89,"props":779,"children":780},{},[781],{"type":64,"value":782},"Native type mapping",{"type":64,"value":784}," — the native column of the JSON table above.",{"type":58,"tag":143,"props":786,"children":787},{},[788,793],{"type":58,"tag":89,"props":789,"children":790},{},[791],{"type":64,"value":792},"Build and packaging",{"type":64,"value":794}," — how the artifact is compiled and bundled.",{"type":58,"tag":143,"props":796,"children":797},{},[798,803],{"type":58,"tag":89,"props":799,"children":800},{},[801],{"type":64,"value":802},"Runtime prerequisite",{"type":64,"value":804}," — what must be present on the worker (a language runtime for some SDKs, e.g. a JRE for the Java SDK; none for the Go SDK's self-contained bundles).",{"type":58,"tag":67,"props":806,"children":807},{},[808,810,814],{"type":64,"value":809},"The Airflow-side wiring (which coordinator runs which queue) is shared in structure but has per-coordinator options; it lives in ",{"type":58,"tag":89,"props":811,"children":812},{},[813],{"type":64,"value":261},{"type":64,"value":80},{"type":58,"tag":97,"props":816,"children":817},{},[],{"type":58,"tag":101,"props":819,"children":821},{"id":820},"language-agnostic-pitfalls",[822],{"type":64,"value":823},"Language-agnostic pitfalls",{"type":58,"tag":139,"props":825,"children":826},{},[827,852,862,872,898,945],{"type":58,"tag":143,"props":828,"children":829},{},[830,835,837,842,844,850],{"type":58,"tag":89,"props":831,"children":832},{},[833],{"type":64,"value":834},"IDs must match exactly",{"type":64,"value":836}," across the Python stub function name and the native task ID, and across ",{"type":58,"tag":241,"props":838,"children":840},{"className":839},[],[841],{"type":64,"value":503},{"type":64,"value":843},"\u002F",{"type":58,"tag":241,"props":845,"children":847},{"className":846},[],[848],{"type":64,"value":849},"dag_id",{"type":64,"value":851}," and the native DAG ID. Mismatches surface as \"no DAGs\" or missing-XCom errors.",{"type":58,"tag":143,"props":853,"children":854},{},[855,860],{"type":58,"tag":89,"props":856,"children":857},{},[858],{"type":64,"value":859},"Both sides need the upstream reference.",{"type":64,"value":861}," Python declares the dependency by passing the upstream call; the native code retrieves the value via XCom.",{"type":58,"tag":143,"props":863,"children":864},{},[865,870],{"type":58,"tag":89,"props":866,"children":867},{},[868],{"type":64,"value":869},"Set queue and retries on the stub",{"type":64,"value":871},", never in the native code.",{"type":58,"tag":143,"props":873,"children":874},{},[875,880,882,888,890,896],{"type":58,"tag":89,"props":876,"children":877},{},[878],{"type":64,"value":879},"Stub bodies must be empty.",{"type":64,"value":881}," An AST check enforces it — only ",{"type":58,"tag":241,"props":883,"children":885},{"className":884},[],[886],{"type":64,"value":887},"pass",{"type":64,"value":889},", ",{"type":58,"tag":241,"props":891,"children":893},{"className":892},[],[894],{"type":64,"value":895},"...",{"type":64,"value":897},", or a docstring is allowed in the body; any real logic is rejected.",{"type":58,"tag":143,"props":899,"children":900},{},[901,912,914,920,922,928,930,936,937,943],{"type":58,"tag":89,"props":902,"children":903},{},[904,910],{"type":58,"tag":241,"props":905,"children":907},{"className":906},[],[908],{"type":64,"value":909},"retry_policy",{"type":64,"value":911}," is rejected on stubs",{"type":64,"value":913}," (",{"type":58,"tag":241,"props":915,"children":917},{"className":916},[],[918],{"type":64,"value":919},"@task.stub",{"type":64,"value":921}," raises ",{"type":58,"tag":241,"props":923,"children":925},{"className":924},[],[926],{"type":64,"value":927},"ValueError",{"type":64,"value":929},"). Use ",{"type":58,"tag":241,"props":931,"children":933},{"className":932},[],[934],{"type":64,"value":935},"retries",{"type":64,"value":843},{"type":58,"tag":241,"props":938,"children":940},{"className":939},[],[941],{"type":64,"value":942},"retry_delay",{"type":64,"value":944}," instead — a retry-policy callable runs Python in-process and would never fire for a task executing in a native subprocess.",{"type":58,"tag":143,"props":946,"children":947},{},[948],{"type":64,"value":949},"Assets, deferral, and some other Airflow features have limited or no support in the language SDKs today.",{"type":58,"tag":97,"props":951,"children":952},{},[],{"type":58,"tag":101,"props":954,"children":956},{"id":955},"per-language-skills",[957],{"type":64,"value":78},{"type":58,"tag":139,"props":959,"children":960},{},[961,971,981],{"type":58,"tag":143,"props":962,"children":963},{},[964,969],{"type":58,"tag":89,"props":965,"children":966},{},[967],{"type":64,"value":968},"authoring-java-sdk-tasks",{"type":64,"value":970},": Java\u002FKotlin\u002FJVM native API, type mapping, and logging.",{"type":58,"tag":143,"props":972,"children":973},{},[974,979],{"type":58,"tag":89,"props":975,"children":976},{},[977],{"type":64,"value":978},"authoring-go-sdk-tasks",{"type":64,"value":980},": Go native API — task registration, dependency injection by parameter type, and client access.",{"type":58,"tag":143,"props":982,"children":983},{},[984],{"type":58,"tag":985,"props":986,"children":987},"em",{},[988,990,996],{"type":64,"value":989},"(Future language SDKs each add their own ",{"type":58,"tag":241,"props":991,"children":993},{"className":992},[],[994],{"type":64,"value":995},"authoring-\u003Clang>-sdk-tasks",{"type":64,"value":997}," skill that builds on this one.)",{"type":58,"tag":101,"props":999,"children":1001},{"id":1000},"related-skills",[1002],{"type":64,"value":1003},"Related Skills",{"type":58,"tag":139,"props":1005,"children":1006},{},[1007,1016,1026,1036],{"type":58,"tag":143,"props":1008,"children":1009},{},[1010,1014],{"type":58,"tag":89,"props":1011,"children":1012},{},[1013],{"type":64,"value":261},{"type":64,"value":1015},": Route a queue to a coordinator and set runtime options.",{"type":58,"tag":143,"props":1017,"children":1018},{},[1019,1024],{"type":58,"tag":89,"props":1020,"children":1021},{},[1022],{"type":64,"value":1023},"authoring-dags",{"type":64,"value":1025},": General Airflow DAG authoring (the Python side lives here too).",{"type":58,"tag":143,"props":1027,"children":1028},{},[1029,1034],{"type":58,"tag":89,"props":1030,"children":1031},{},[1032],{"type":64,"value":1033},"deploying-java-sdk-bundles",{"type":64,"value":1035},": Build and ship the Java artifact.",{"type":58,"tag":143,"props":1037,"children":1038},{},[1039,1044],{"type":58,"tag":89,"props":1040,"children":1041},{},[1042],{"type":64,"value":1043},"deploying-go-sdk-bundles",{"type":64,"value":1045},": Build, pack, and ship the Go bundle (per-language deploy skills follow the same shape).",{"type":58,"tag":1047,"props":1048,"children":1049},"style",{},[1050],{"type":64,"value":1051},"html .light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html.light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"items":1053,"total":1152},[1054,1068,1080,1096,1110,1127,1140],{"slug":14,"name":14,"fn":1055,"description":1056,"org":1057,"tags":1058,"stars":22,"repoUrl":23,"updatedAt":1067},"manage and troubleshoot Airflow via CLI","Queries, manages, and troubleshoots Apache Airflow using the `af` CLI. Use when working with anything related to Airflow - a DAG, a DAG run, a task log, an import or parse error, a broken DAG, or any Airflow operation. Covers listing and triggering DAGs, retrying runs, reading task logs, diagnosing failures, debugging import and parse errors, checking connections, variables and pools, exploring the REST API, and monitoring health (for example \"trigger a pipeline\", \"retry a run\", \"list connections\", \"check Airflow health\", \"why did my DAG fail\"). This is the entrypoint that routes to sibling skills for authoring, testing, deploying, and migrating Airflow 2 to 3. Not for warehouse\u002FSQL analytics on Airflow metadata tables (use analyzing-data); for deep root-cause reports use debugging-dags or airflow-investigation.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1059,1060,1063,1064],{"name":13,"slug":14,"type":15},{"name":1061,"slug":1062,"type":15},"CLI","cli",{"name":17,"slug":18,"type":15},{"name":1065,"slug":1066,"type":15},"Debugging","debugging","2026-04-06T18:01:43.992997",{"slug":1069,"name":1069,"fn":1070,"description":1071,"org":1072,"tags":1073,"stars":22,"repoUrl":23,"updatedAt":1079},"airflow-hitl","add human-in-the-loop steps to Airflow DAGs","Builds human-in-the-loop (HITL) Airflow workflows - approval gates, form input, and human-driven branching. Use when a DAG needs a human in the loop - an approval or reject step, sign-off before a task runs, a decision or approval UI, branching on a human choice, or collecting form input mid-run; also on mentions of ApprovalOperator, HITLOperator, HITLBranchOperator, HITLEntryOperator, or HITLTrigger. Requires Airflow 3.1+. Not for AI\u002FLLM task calls (see migrating-ai-sdk-to-common-ai).",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1074,1075,1078],{"name":13,"slug":14,"type":15},{"name":1076,"slug":1077,"type":15},"Approvals","approvals",{"name":17,"slug":18,"type":15},"2026-04-06T18:01:46.758548",{"slug":1081,"name":1081,"fn":1082,"description":1083,"org":1084,"tags":1085,"stars":22,"repoUrl":23,"updatedAt":1095},"airflow-plugins","build Airflow UI plugins","Builds Airflow 3.1+ plugins that embed FastAPI apps, custom UI pages, React components, middleware, macros, and operator links directly into the Airflow UI. Use when building anything custom inside Airflow 3.1+ that involves Python and a browser-facing interface - creating an Airflow plugin, adding a custom UI page or nav entry, building FastAPI-backed endpoints inside Airflow, serving static assets from a plugin, embedding a React app, adding middleware to the API server, creating custom operator extra links, or calling the Airflow REST API from inside a plugin; also when AirflowPlugin, fastapi_apps, external_views, react_apps, or plugin registration come up.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1086,1087,1090,1092],{"name":13,"slug":14,"type":15},{"name":1088,"slug":1089,"type":15},"Plugin Development","plugin-development",{"name":1091,"slug":269,"type":15},"Python",{"name":1093,"slug":1094,"type":15},"UI Components","ui-components","2026-04-06T18:01:56.827891",{"slug":1097,"name":1097,"fn":1098,"description":1099,"org":1100,"tags":1101,"stars":22,"repoUrl":23,"updatedAt":1109},"airflow-state-store","persist Airflow task and asset state","Persists task and asset state across retries and DAG runs using Airflow 3.3's AIP-103 key\u002Fvalue stores (`task_state_store`, `asset_state_store`) and the crash-safe `ResumableJobMixin`. Use when the user asks about task state store, checkpointing in tasks, persisting state across retries, job IDs surviving worker crashes, watermarks, asset metadata, resumable tasks, crash-safe operators, or \"what's new in Airflow 3.3\". Also use proactively when reading a DAG that uses Variables or XCom for intra-task coordination state — flag the anti-pattern and recommend task_state_store or asset_state_store instead. Requires Airflow 3.3+.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1102,1103,1105,1106],{"name":13,"slug":14,"type":15},{"name":1104,"slug":36,"type":15},"Data Engineering",{"name":17,"slug":18,"type":15},{"name":1107,"slug":1108,"type":15},"Operations","operations","2026-07-07T06:43:11.160671",{"slug":1111,"name":1111,"fn":1112,"description":1113,"org":1114,"tags":1115,"stars":22,"repoUrl":23,"updatedAt":1126},"analyzing-data","query data warehouses for business questions","Queries the data warehouse with SQL and answers business questions about data. Use when answering anything that needs warehouse data - counts, metrics, trends, aggregations, joins across tables, data lookups, or ad-hoc SQL analysis (for example \"who uses X\", \"how many Y\", \"show me Z\", \"find customers\", \"what is the count\").",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1116,1119,1122,1123],{"name":1117,"slug":1118,"type":15},"Analytics","analytics",{"name":1120,"slug":1121,"type":15},"Data Analysis","data-analysis",{"name":1104,"slug":36,"type":15},{"name":1124,"slug":1125,"type":15},"SQL","sql","2026-04-06T18:01:49.599775",{"slug":1128,"name":1128,"fn":1129,"description":1130,"org":1131,"tags":1132,"stars":22,"repoUrl":23,"updatedAt":1139},"annotating-task-lineage","annotate Airflow tasks with data lineage","Annotate Airflow tasks with data lineage using inlets and outlets. Use when the user wants to add lineage metadata to tasks, specify input\u002Foutput datasets, or enable lineage tracking for operators without built-in OpenLineage extraction.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1133,1134,1135,1136],{"name":13,"slug":14,"type":15},{"name":1104,"slug":36,"type":15},{"name":17,"slug":18,"type":15},{"name":1137,"slug":1138,"type":15},"Observability","observability","2026-04-06T18:02:03.487365",{"slug":1023,"name":1023,"fn":1141,"description":1142,"org":1143,"tags":1144,"stars":22,"repoUrl":23,"updatedAt":1151},"author Airflow DAGs","Workflow and best practices for writing Apache Airflow DAGs. Use when creating a new DAG, write pipeline code, handling questions about DAG patterns and conventions or extending an existing DAG with a follow-up\u002Fdownstream task. ANY request shaped like 'add a DAG named X', 'write a pipeline', 'add a task that runs after Y', or 'extend the DAG'. For testing and debugging DAGs, see the testing-dags skill.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1145,1146,1147,1150],{"name":13,"slug":14,"type":15},{"name":17,"slug":18,"type":15},{"name":1148,"slug":1149,"type":15},"ETL","etl",{"name":1091,"slug":269,"type":15},"2026-04-06T18:01:52.679888",34,{"items":1154,"total":1152},[1155,1162,1168,1175,1182,1189,1196,1203,1217,1228,1234,1247],{"slug":14,"name":14,"fn":1055,"description":1056,"org":1156,"tags":1157,"stars":22,"repoUrl":23,"updatedAt":1067},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1158,1159,1160,1161],{"name":13,"slug":14,"type":15},{"name":1061,"slug":1062,"type":15},{"name":17,"slug":18,"type":15},{"name":1065,"slug":1066,"type":15},{"slug":1069,"name":1069,"fn":1070,"description":1071,"org":1163,"tags":1164,"stars":22,"repoUrl":23,"updatedAt":1079},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1165,1166,1167],{"name":13,"slug":14,"type":15},{"name":1076,"slug":1077,"type":15},{"name":17,"slug":18,"type":15},{"slug":1081,"name":1081,"fn":1082,"description":1083,"org":1169,"tags":1170,"stars":22,"repoUrl":23,"updatedAt":1095},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1171,1172,1173,1174],{"name":13,"slug":14,"type":15},{"name":1088,"slug":1089,"type":15},{"name":1091,"slug":269,"type":15},{"name":1093,"slug":1094,"type":15},{"slug":1097,"name":1097,"fn":1098,"description":1099,"org":1176,"tags":1177,"stars":22,"repoUrl":23,"updatedAt":1109},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1178,1179,1180,1181],{"name":13,"slug":14,"type":15},{"name":1104,"slug":36,"type":15},{"name":17,"slug":18,"type":15},{"name":1107,"slug":1108,"type":15},{"slug":1111,"name":1111,"fn":1112,"description":1113,"org":1183,"tags":1184,"stars":22,"repoUrl":23,"updatedAt":1126},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1185,1186,1187,1188],{"name":1117,"slug":1118,"type":15},{"name":1120,"slug":1121,"type":15},{"name":1104,"slug":36,"type":15},{"name":1124,"slug":1125,"type":15},{"slug":1128,"name":1128,"fn":1129,"description":1130,"org":1190,"tags":1191,"stars":22,"repoUrl":23,"updatedAt":1139},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1192,1193,1194,1195],{"name":13,"slug":14,"type":15},{"name":1104,"slug":36,"type":15},{"name":17,"slug":18,"type":15},{"name":1137,"slug":1138,"type":15},{"slug":1023,"name":1023,"fn":1141,"description":1142,"org":1197,"tags":1198,"stars":22,"repoUrl":23,"updatedAt":1151},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1199,1200,1201,1202],{"name":13,"slug":14,"type":15},{"name":17,"slug":18,"type":15},{"name":1148,"slug":1149,"type":15},{"name":1091,"slug":269,"type":15},{"slug":978,"name":978,"fn":1204,"description":1205,"org":1206,"tags":1207,"stars":22,"repoUrl":23,"updatedAt":1216},"implement Airflow tasks in Go","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`\u002F`RegisterDags`, the `bundlev1` Registry\u002FDag interfaces, registering Go tasks (`AddTask`\u002F`AddTaskWithName`), dependency injection by parameter type (`context.Context`, `sdk.TIRunContext`, `*slog.Logger`, `sdk.Client`), or reading connections\u002Fvariables\u002FXComs from Go. This skill covers the Go-specific native API; the shared Python-stub pattern and conceptual model live in authoring-language-sdk-tasks. For building\u002Fpacking\u002Fshipping the bundle see deploying-go-sdk-bundles; for coordinator config see configuring-airflow-language-sdks.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1208,1209,1212,1213],{"name":13,"slug":14,"type":15},{"name":1210,"slug":1211,"type":15},"API Development","api-development",{"name":17,"slug":18,"type":15},{"name":1214,"slug":1215,"type":15},"Go","go","2026-07-11T05:39:13.552213",{"slug":968,"name":968,"fn":1218,"description":1219,"org":1220,"tags":1221,"stars":22,"repoUrl":23,"updatedAt":1227},"implement Airflow tasks in Java","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\u002FJVM, asks about `@Builder.Dag`\u002F`@Builder.Task`\u002F`@Builder.XCom`, the `Task`\u002F`BundleBuilder` interfaces, reading connections\u002Fvariables\u002FXComs from Java, the JSON-to-Java type mapping, or logging from Java tasks. This skill covers the Java-specific native API; the shared Python-stub pattern and conceptual model live in authoring-language-sdk-tasks. For building\u002Fshipping the bundle see deploying-java-sdk-bundles; for coordinator config see configuring-airflow-language-sdks.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1222,1223,1224],{"name":17,"slug":18,"type":15},{"name":20,"slug":21,"type":15},{"name":1225,"slug":1226,"type":15},"Java","java","2026-07-18T05:48:13.374003",{"slug":4,"name":4,"fn":5,"description":6,"org":1229,"tags":1230,"stars":22,"repoUrl":23,"updatedAt":24},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1231,1232,1233],{"name":13,"slug":14,"type":15},{"name":17,"slug":18,"type":15},{"name":20,"slug":21,"type":15},{"slug":1235,"name":1235,"fn":1236,"description":1237,"org":1238,"tags":1239,"stars":22,"repoUrl":23,"updatedAt":1246},"blueprint","build reusable Airflow task group templates","Define reusable Airflow task group templates with Pydantic validation and compose DAGs from YAML. Use when creating blueprint templates, composing DAGs from YAML, validating configurations, or enabling no-code DAG authoring for non-engineers.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1240,1241,1242,1243],{"name":13,"slug":14,"type":15},{"name":17,"slug":18,"type":15},{"name":1148,"slug":1149,"type":15},{"name":1244,"slug":1245,"type":15},"Templates","templates","2026-04-06T18:01:45.361425",{"slug":1248,"name":1248,"fn":1249,"description":1250,"org":1251,"tags":1252,"stars":22,"repoUrl":23,"updatedAt":1259},"checking-freshness","check data freshness in warehouses","Quick data freshness check. Use when the user asks if data is up to date, when a table was last updated, if data is stale, or needs to verify data currency before using it.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1253,1254,1255,1258],{"name":13,"slug":14,"type":15},{"name":1104,"slug":36,"type":15},{"name":1256,"slug":1257,"type":15},"Data Quality","data-quality",{"name":1148,"slug":1149,"type":15},"2026-04-06T18:02:02.138565"]