Skip to content
Data
Skill

/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`, the `bundlev1` Registry/Dag interfaces, registering Go tasks (`AddTask`/`AddTaskWithName`), dependency injection by

From plugin
astronomer-data
45935 skills3 commands

Claude Code

$ npx -y skills add astronomer/agents --skill authoring-go-sdk-tasks --agent claude-code

SKILL.md

authoring-go-sdk-tasks.SKILL.md
name: authoring-go-sdk-tasks
description: 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`, the `bundlev1` Registry/Dag interfaces, registering Go tasks (`AddTask`/`AddTaskWithName`), dependency injection by parameter type (`context.Context`, `sdk.TIRunContext`, `*slog.Logger`, `sdk.Client`), or reading connections/variables/XComs 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/packing/shipping the bundle see deploying-go-sdk-bundles; for coordinator config see configuring-airflow-language-sdks.

Authoring Go SDK Tasks

The Airflow Go SDK implements the language-SDK model for Go: your DAG stays in Python, and each task is a compiled Go function registered inside a **bundle** (a single native executable). This skill covers the **Go-specific** native API. The shared model (the Python `@task.stub` pattern, ID matching, the XCom-as-JSON contract) lives in **authoring-language-sdk-tasks**; read that first if you are new to language SDKs.

> **Experimental.** The Go SDK is under active development and not production-ready. Module path `github.com/apache/airflow/go-sdk` (Go 1.24+). APIs may change.

> **Related skills:** **authoring-language-sdk-tasks** (shared Python stub + concepts), **deploying-go-sdk-bundles** (build, pack, and ship the bundle), **configuring-airflow-language-sdks** (route the queue to the Go coordinator).

---

Recap: the Python side

A Go task is paired with a Python stub that carries no logic; it declares the task, its queue, and the dependency graph. IDs must match the Go registration exactly, and `queue=` routes the task to the Go runtime. Full rules are in **authoring-language-sdk-tasks**; the minimal shape:

from airflow.sdk import dag, task


@task.stub(queue="golang")
def extract(): ...


@task.stub(queue="golang")
def transform(): ...


@dag()
def simple_dag():
    extract() >> transform()


simple_dag()

The `queue` value (`"golang"` here) is an arbitrary label that must match the queue routed to the Go coordinator (`queue_to_coordinator`). See **configuring-airflow-language-sdks**.

---

The bundle entry point

A bundle implements `bundlev1.BundleProvider`: report its version and register your DAGs and tasks. `main` is one line; `bundlev1server.Serve` wires the bundle to the Airflow runtime for you.

package main

import (
	"log"

	v1 "github.com/apache/airflow/go-sdk/bundle/bundlev1"
	"github.com/apache/airflow/go-sdk/bundle/bundlev1/bundlev1server"
)

type myBundle struct{}

var _ v1.BundleProvider = (*myBundle)(nil)

func (m *myBundle) GetBundleVersion() v1.BundleInfo {
	return v1.BundleInfo{Name: bundleName, Version: &bundleVersion}
}

func (m *myBundle) RegisterDags(dagbag v1.Registry) error {
	simpleDag := dagbag.AddDag("simple_dag")      // dag_id must match the Python @dag name
	simpleDag.AddTask(extract)                    // task_id is the function name; must match the stub
	simpleDag.AddTaskWithName("transform", transform) // or set the task_id explicitly
	return nil
}

func main() {
	if err := bundlev1server.Serve(&myBundle{}); err != nil {
		log.Fatal(err)
	}
}

`AddTask(fn)` derives the `task_id` from the Go function's name; use `AddTaskWithName("<task_id>", fn)` when that name can't match the Python stub (an unexported, renamed, or reused function). `RegisterDags` is the single source of truth for task identity: the bundle's manifest (used by the packer and by the coordinator) is generated by running it, never hand-written.

---

Task functions: dependency injection by parameter type

A task is an ordinary Go function. The runtime inspects its signature and injects arguments **by type**; declare only what you need.

| Parameter type | Injected value | |----------------|----------------| | `context.Context` | Task context for cancellation. Always available. | | `sdk.TIRunContext` | Richer context (embeds `context.Context`) exposing `TaskInstance()` and `DagRun()`. See [Runtime context](#runtime-context). | | `*slog.Logger` | Logger wired to the Airflow task log. | | `sdk.Client` | Full Airflow model access: Variables, Connections, XComs. | | `sdk.VariableClient` / `sdk.ConnectionClient` / `sdk.XComClient` | A narrower slice of `sdk.Client`. Prefer the narrowest you need; it documents intent and is trivial to fake in tests. |

The optional return signature is `(result, error)`: a non-nil `result` is pushed as the task's `return_value` XCom; a non-nil `error` fails the task (which triggers the stub's retry policy). Returning only `error`, or nothing, is also valid.

func extract(ctx sdk.TIRunContext, client sdk.Client, log *slog.Logger) (any, error) {
	conn, err := client.GetConnection(ctx, "test_http")
	if err != nil {
		return nil, err
	}
	log.Info("connected", "host", conn.Host)
	return map[string]any{"go_version": runtime.Version()}, nil
}

func transform(ctx sdk.TIRunContext, client sdk.VariableClient) error {
	val, err := client.GetVariable(ctx, "my_variable")
	if err != nil {
		return err // VariableNotFound (a sentinel error) if absent
	}
	_ = val
	return nil
}

---

The `sdk.Client` surface

| Call | Returns | Notes | |------|---------|-------| | `GetVariable(ctx, key)` | `(string, error)` | `VariableNotFound` if absent. | | `UnmarshalJSONVariable(ctx, key, &ptr)` | `error` | Decode a JSON variable into a struct/pointer. | | `GetConnection(ctx, connID)` | `(Connection, error)` | `ConnectionNotFound` if absent. | | `GetXCom(ctx, dagID, runID, taskID, mapIndex, key, value)` | `(any, error)` | `XComNotFound` only if the key is absent; a stored null returns `(nil, nil)`. | | `PushXCom(ctx, ti, key, value)` | `error` | Rarely needed; a returned value is pushed for you. |

`Connection` exposes `ID`, `Type`, `Host`, `Port` (`int`), `Login *string`, `Password *string` (nil when

Read more
@astronomer
Ships withastronomer-data

AI agent tooling for data engineering workflows. Includes an MCP server for Airflow, a CLI tool (af) for interacting with Airflow from your terminal, and skills that extend AI coding agents with specialized capabilities for working with Airflow and data

Stars on GitHub

Momentum

stars in total
459
Star history of astronomer/agents on GitHub, a chart by star-history.com

Other skills on astronomer-data.

airflow-hitl

airflow-hitl

Builds human-in-the-loop (HITL) Airflow workflows - approval gates, form input, and human-driven branching. Use when a DAG needs…

airflow

airflow

Queries, manages, and troubleshoots Apache Airflow using the `af` CLI. Use when working with anything related to Airflow - a DAG,…

More skills from other plugins.

context-loader
Auto-invoked

context-loader

Search memories from earlier Pi sessions in this repository. Use it when earlier work may already explain the code, error,…

mem05d69k
@mem0ai@mem0aiInstall Skill
analyzing-ai-citations

analyzing-ai-citations

Answer AI citation and answer engine optimization (AEO) questions in PostHog: whether AI answer engines (ChatGPT, Claude, and an…

posthog12d41k
@posthog@posthogInstall Skill

Questions about authoring-go-sdk-tasks.

Which coding agents can use authoring-go-sdk-tasks?
authoring-go-sdk-tasks installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.