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testing-mwaa-workflow

Skill from aws/agent-toolkit-for-aws

Testing & QA No risky patterns found curated workflowtesttestingawspythonapi

Install

npx skills add aws/agent-toolkit-for-aws --skill testing-mwaa-workflow

Runs the open skills CLI and installs the skill for your agent (Claude Code, Codex, Cursor …). Alternatively copy the skill folder into .claude/skills/ or upload it in Claude.ai under Settings → Skills.

As a Claude Code plugin

/plugin marketplace add anthropics/claude-plugins-official /plugin install aws-data-analytics@agent-toolkit-for-aws

This skill is part of the plugin “aws-data-analytics”. In Claude Code the plugin installs it together with the plugin’s other skills, commands and hooks.

What does the testing-mwaa-workflow skill do?

Tests Amazon MWAA workflow execution end-to-end: trigger a run and monitor it to completion for Provisioned (Python DAG, via Airflow REST API) and Serverless (YAML workflow, via StartWorkflowRun). Verifies the artifact is deployed and parse-ready, triggers with confirmation, polls to terminal state, and on failure delegates diagnosis to debugging-mwaa-workflow and artifact/redeploy fixes to authoring-mwaa-workflow, then retests up to a capped number of attempts. Triggers on: test my DAG, test my workflow, run my DAG, trigger a test run, does my DAG work, smoke-test the pipeline, verify my workflow runs, execute my DAG to check it. Not applicable to writing or deploying a new workflow (handled by authoring-mwaa-workflow), or for diagnosing why a run failed or root-causing an error (handled by debugging-mwaa-workflow).

Description from the SKILL.md in the source repository.

Questions about testing-mwaa-workflow

What does the testing-mwaa-workflow skill do?

Tests Amazon MWAA workflow execution end-to-end: trigger a run and monitor it to completion for Provisioned (Python DAG, via Airflow REST API) and Serverless (YAML workflow, via StartWorkflowRun). Verifies the artifact is deployed and parse-ready, triggers with confirmation, polls to terminal state, and on failure delegates diagnosis to debugging-mwaa-workflow and artifact/redeploy fixes to authoring-mwaa-workflow, then retests up to a capped number of attempts. Triggers on: test my DAG, test my workflow, run my DAG, trigger a test run, does my DAG work, smoke-test the pipeline, verify my workflow runs, execute my DAG to check it. Not applicable to writing or deploying a new workflow (handled by authoring-mwaa-workflow), or for diagnosing why a run failed or root-causing an error (handled by debugging-mwaa-workflow).

How do I install testing-mwaa-workflow?

In a terminal: npx skills add aws/agent-toolkit-for-aws --skill testing-mwaa-workflow. The skills CLI asks which agents to install it for. In Claude.ai you can upload the skill folder as a ZIP under Settings → Skills.

Which agents can use testing-mwaa-workflow?

Skills use the open SKILL.md format, which Claude Code, Claude.ai, the Claude API, OpenAI Codex, Cursor, Gemini CLI and other agents support.

Is testing-mwaa-workflow safe to use?

Our automatic check found no risky patterns (piped shell scripts, hidden characters, secret access, prompt overrides). It is not a full audit – read the SKILL.md and any scripts before installing.

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