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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 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.

72

Quality

87%

Does it follow best practices?

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SKILL.md
Quality
Evals
Security

Quality

Content

82%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

High-quality reference content: executable code throughout, precise API behavior (sentinel errors, XCom null vs absent, narrowest-client guidance), and good sectioning. Weakest points are mild redundancy across sections and sibling-skill pointers that name rather than link their targets.

Suggestions

Dedupe the related-skills list: keep it only in the Related Skills section (or only in the intro blockquote) rather than repeating it twice, and state the ID-matching rule once in full with brief back-references elsewhere.

Make sibling-skill references linkable (e.g., ../authoring-language-sdk-tasks/SKILL.md) so navigation to the prerequisite 'read first' skill is unambiguous.

Consider moving the sdk.Client call table and Connection field list into a references/ file, keeping the body to the entry-point and task-function patterns.

DimensionReasoningScore

Conciseness

The body is dense with SDK-specific facts Claude cannot know and keeps code examples compact, but there is minor redundancy: related skills are listed twice (intro blockquote and Related Skills section) and the ID-matching rule is restated in the recap, entry-point, and pitfalls sections. This fits 'efficient; minor instances of over-explanation that could be trimmed' rather than the every-token-earns-its-place level.

4 / 5

Actionability

Fully executable, copy-paste-ready content: a complete Go bundle entry point with Serve wiring, runnable task functions, a concrete sdk.Client call table with signatures and sentinel-error behavior, and test construction via sdk.NewTIRunContext. Specific examples cover the common cases.

5 / 5

Workflow Clarity

The body follows a coherent authoring sequence (Python stub recap → bundle entry point → task functions → client surface → runtime context → pitfalls) with explicit checkpoints (dag_id/task_id must match the stub, RegisterDags is authoritative and the manifest is generated, never hand-written) and error-path guidance (sentinel errors, non-nil error fails the task). It stops short of a 5 because there is no explicit validate/build/verify loop, though build/deploy is delegated to the deploying-go-sdk-bundles skill.

4 / 5

Progressive Disclosure

A single-file skill (no references/, scripts/, or assets/ exist) with well-organized, clearly headed sections and one-level-deep structure — no nested or buried references. It fits 'good structure; most content is appropriately placed; minor organization gaps': sibling-skill pointers are by name rather than linkable paths, and the ~170-line inline API reference is on the larger side for a body file.

4 / 5

Total

17

/

20

Passed

Description

92%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong description: concrete and comprehensive on what the skill does, with explicit 'Use when' triggers and clear boundary demarcation from three sibling skills. The only gap is missing a few natural synonyms (e.g., 'Golang', '.go files') in the trigger terms.

DimensionReasoningScore

Specificity

The description enumerates multiple concrete, named actions — 'registering Go tasks (AddTask/AddTaskWithName)', 'dependency injection by parameter type (context.Context, sdk.TIRunContext, *slog.Logger, sdk.Client)', 'reading connections/variables/XComs from Go' — giving comprehensive coverage of the skill's API surface. It exceeds the 'several specific actions' bar of the 4 anchor.

5 / 5

Completeness

It explicitly answers both: 'what' ('Writes Airflow task logic in Go using the Airflow Go SDK') and 'when' ('Use when the user wants to implement Airflow tasks in Go, asks about...') with concrete trigger phrases, matching the 5 anchor exactly.

5 / 5

Trigger Term Quality

Good natural keyword coverage — 'implement Airflow tasks in Go', 'BundleProvider/RegisterDags', 'connections/variables/XComs' — but common synonyms such as 'Golang' or '.go files' are absent, so it falls short of the comprehensive synonym/extension coverage of the 5 anchor.

4 / 5

Distinctiveness Conflict Risk

Highly Go-specific API names plus explicit boundary delegation ('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') establish a clear niche with minimal conflict risk.

5 / 5

Total

19

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
astronomer/agents
Reviewed

Table of Contents

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