adop

Plugin adop from marketplace adop-marketplace in aws-samples/sample-Agentic-Ai-Data-Operations. Commands read from the repo's manifest — 10 days ago.

Skills (5)

• data-compliance

  Inline compliance controls for ADOP data pipelines. Load this whenever a pipeline is onboarded with a regulation (GDPR, CCPA, HIPAA, SOX, PCI DSS) so the required controls are applied at BUILD time, not as a downstream review. One regulation prompt file per framework — legal reviews a prompt file, n

• decision-engine

  The ADOP "AI clone" Decision Engine and guardrails. Load this whenever generating or promoting a data pipeline to encode the organization's architecture standards, tool-routing preferences, Cedar authorization policies, and the mandatory invariants. It governs HOW agents pick tools and what they are

• discovery-protocol

  ADOP's Phase 1 discovery — the human-in-the-loop gate. Load this before asking a user anything about a dataset and before writing any spec. Defines the profile-then-ask ordering, the zone-targeted question sets for Bronze, Silver and Gold, the mandatory ontology opt-in, the completion checklist, and

• observability

  ADOP's shared run context, tracing contract and error taxonomy. Load this before generating any pipeline artifact, before returning from a sub-agent, and when deciding whether a failure should be retried, escalated to the human, or halt the run. Defines run/context.json and run/decisions.jsonl, the

• pipeline-conventions

  ADOP's data-engineering standards — the five quality dimensions and zone gates, zone mutability rules, transformation and schema-evolution rules, Airflow/PySpark and SQL/YAML conventions, testing strategy, and the shared glossary. Load this when writing a spec, authoring quality rules, extending a t

Slash commands (2)

• /adop:devops-workflow

  Production readiness via Dynamic Workflow — IaC, monitoring, alerting, cost analysis, runbook

• /adop:onboard-workflow

  End-to-end data pipeline onboarding via Dynamic Workflow (Bronze → Silver → Gold)

Subagents (7)

• dag-agent

  Builds the DAG spec and renders the workload's Airflow DAG via the deterministic codegen renderer. Spawned by the Data Onboarding Agent at Step 4.5. Produces dags/{workload}_dag.py plus unit and integration tests.

• iac-agent

  Converts a built workload's artifacts (Glue PySpark, MWAA DAG, YAML configs, quality rules, Cedar policies) into deployable Terraform / CDK Python / CDK TypeScript / CloudFormation plus an APPLY_GUIDE.md. Generation only — never applies. Spawned by the Data Onboarding Agent or the DevOps workflow af

• metadata-agent

  Extracts, infers, classifies and catalogs metadata for a workload's data source. Spawned by the Data Onboarding Agent in Phase 3 (profiling) and Step 4.2 (formalize catalog). Produces config/source.yaml, a field-level PII/PHI/PCI classification report, candidate FK relationships, and tests.

• ontology-agent

  Induces an OWL2 ontology and R2RML mappings from a workload's semantic.yaml plus its Glue Gold-zone schema, validates the Turtle, and stages three artifacts locally for AWS Semantic Layer handoff. Spawned by the Data Onboarding Agent at Phase 7 Step 8.5, only if the human opted in.

• quality-agent

  Builds the quality spec (5 dimensions, rules, gates, anomaly detection) and renders quality check scripts via the deterministic codegen renderer. Spawned by the Data Onboarding Agent at Step 4.4. Produces config/quality_rules.yaml, scripts/quality/*, and tests.

• requirements-auditor

  Reconciles explicit user requirements with run state, decisions, traces, tests, generated artifacts, and deployment evidence. Read-only over workload inputs and never modifies generated pipeline artifacts.

• transformation-agent

  Produces Bronze/Silver/Gold transform specs and renders AWS Glue ETL (PySpark + Iceberg) scripts via the deterministic codegen renderer. Spawned by the Data Onboarding Agent at Step 4.3. Produces config/transformations.yaml, scripts/transform/*, sql/*, and tests.

MCP servers (5)

• aws-mcp

  runs: uvx mcp-proxy-for-aws==1.6.0 https://aws-mcp.us-east-1.api.aws/mcp --metadata AWS_REGION=us-east-1

• lakeformation

  runs: uv run --no-project --with fastmcp --with boto3 --python 3.13 mcp-servers/lakeformation-server/server.py

• iam

  runs: uvx --from awslabs-iam-mcp-server awslabs.iam-mcp-server

• pii-detection

  runs: uv run --no-project --with boto3 --with fastmcp --python 3.13 mcp-servers/pii-detection-server/server.py

• cloudtrail

  runs: uvx --from awslabs-cloudtrail-mcp-server awslabs.cloudtrail-mcp-server

Hooks (7)

• SessionStart

  python3 "${CLAUDE_PLUGIN_ROOT}/hooks/inject_run_context.py"

• UserPromptSubmit

  python3 "${CLAUDE_PLUGIN_ROOT}/hooks/capture_user_turn.py"

• PreToolUse

  python3 "${CLAUDE_PLUGIN_ROOT}/hooks/check_discovery_gate.py"

• PreToolUse

  python3 "${CLAUDE_PLUGIN_ROOT}/hooks/enforce_template_codegen.py"

• PreToolUse

  python3 "${CLAUDE_PLUGIN_ROOT}/hooks/check_logging.py"

• PostToolUse

  python3 "${CLAUDE_PLUGIN_ROOT}/hooks/validate_artifacts.py"

• PostToolUse

  python3 "${CLAUDE_PLUGIN_ROOT}/hooks/log_conversation.py"

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