Conciseness

The body is dense operational guidance with no filler explaining Airflow or AWS concepts Claude already knows — routing rules, ARN patterns, and deployment gates are all non-obvious content. Minor trimming possible: the MCP-vs-local-install guardrail and the poll-in-discrete-steps note each run longer than strictly needed. Not a 5 because a few sections (the loading-mode guardrail, the schedule/no-schedule option lists) could be tightened without losing information.

Actionability

Mostly executable guidance: concrete ARN regexes, specific commands ("aws mwaa get-environment", "CreateWorkflow (new) or UpdateWorkflow (redeploy)"), exact packaging constraints ("manylinux2014_x86_64 / Py3.12 wheel", "≤250 MB", "no __pycache__"), and exact option phrasings for the user prompt. Not a 5 because the actual authoring code/steps live in the path references, so the body alone is not copy-paste ready for the core writing task — though the delegation is explicit and each reference file exists.

Workflow Clarity

Clear sequenced workflow with explicit validation and feedback loops: Step 0 routing decision tree → path reference → Write → "Run post-deploy verification... to confirm the scheduler parsed the new file without import errors or dag_id conflicts", a "Redeploy (fix loop)", a HARD GATE on test requests, and confirmation requirements for state-mutating operations with a troubleshooting table for recovery. This matches the 5 anchor (explicit validation steps, feedback loops, error recovery).

Progressive Disclosure

Textbook structure: the body is a routing/orchestration overview, with per-path authoring detail split into one-level-deep references (authoring-provisioned-dag.md, authoring-serverless-workflow.md), deploy detail in deploying-mwaa.md, and supporting material (dag-patterns.md, yaml-schema.md, serverless-code-packaging.md) — all six files exist on disk and are annotated in the References section. Navigation is easy and the split is appropriate.

Specificity

The description lists multiple concrete actions with comprehensive coverage: "Authors and deploys MWAA workflow artifacts: Python Airflow DAGs... or YAML workflow files for Serverless", "Deploys the artifact (S3 DAG upload or Serverless CreateWorkflow/UpdateWorkflow), creates an environment inline when approved, and redeploys fixes, then optionally hands off to testing-mwaa-workflow". It also enumerates covered concerns (operator selection, timeout design, retry strategy, scheduling, failure notifications, idempotency, schema compliance). Not a 4 because coverage spans authoring, deploying, environment creation, redeployment, and hand-off with no gaps.

Completeness

It explicitly answers both questions: what ("Authors and deploys MWAA workflow artifacts... Covers operator selection, timeout design, retry strategy, scheduling, failure notifications, idempotency, and MWAA Serverless schema compliance") and when ("Triggers on: create a DAG, write a pipeline, build a workflow...") with concrete trigger phrases. It goes further by stating explicit non-applicability (conversion, smoke-testing, diagnosing failed runs). Clearly the 5 anchor.

Trigger Term Quality

Explicit trigger list includes natural phrases users would say: "create a DAG, write a pipeline, build a workflow, orchestrate tasks, Airflow DAG, data pipeline, schedule a job, deploy a DAG, deploy a workflow, YAML workflow". Not a 5 because a few natural terms are missing — the product name "MWAA" itself, "Airflow pipeline", "provisioned environment", and common variants like "write a DAG"; not a 3 because coverage already includes synonyms across both deployment models.

Distinctiveness Conflict Risk

The niche is clear and sibling skills are explicitly disambiguated: "running or smoke-testing a deployed workflow (handled by testing-mwaa-workflow) or diagnosing a failed run (handled by debugging-mwaa-workflow)" and "converting or migrating existing DAGs between provisioned and serverless (conversion is out of scope)". Trigger terms are domain-specific (MWAA, Airflow DAG, Serverless YAML), so minimal conflict risk with other skills.