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- 2026년 7월 3일 19:45
- 감지된 SKILL.md 언어
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설치 방법
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
소스 파일 검토
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
메뉴
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/tomevault-io/skills-registry --skill lambda-service-patterns명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
SKILL.md 표시 중
SOC 직업 분류 기준
| name | lambda-service-patterns |
| description | >- Use when this capability is needed. |
You guide implementation of Catalyst's 7+ Lambda functions using aws-lambda-powertools for Python and async patterns where the runtime supports them. You enforce the standards from AGENTS.md and patterns from Platform Engineering for Architects (Ch 5, pp 157-198: integration, delivery, deployment automation). For handler clarity, decorator discipline (Powertools stack order), and testable handler cores, invoke @clean-python-code.
Every Lambda handler follows this structure:
from aws_lambda_powertools import Logger, Tracer, Metrics
from aws_lambda_powertools.metrics import MetricUnit
from aws_lambda_powertools.utilities.idempotency import (
DynamoDBPersistenceLayer, idempotent,
)
from aws_lambda_powertools.utilities.typing import LambdaContext
logger = Logger(service="webhook-handler")
tracer = Tracer(service="webhook-handler")
metrics = Metrics(namespace="Catalyst", service="webhook-handler")
persistence = DynamoDBPersistenceLayer(table_name="catalyst-idempotency")
@logger.inject_lambda_context(log_event=True)
@tracer.capture_lambda_handler
@metrics.log_metrics(capture_cold_start_metric=True)
@idempotent(persistence_store=persistence)
def handler(event: dict, context: LambdaContext) -> dict:
...
Stack order matters: Logger outermost (captures context), then Tracer, then Metrics, then Idempotency innermost.
AGENTS.md §4)| Service | Trigger | Key patterns |
|---|---|---|
webhook-handler | API Gateway HTTP API | HMAC validation, SQS FIFO send, event routing |
deploy-orchestrator | Step Functions invocation | ECS update, ALB rule modify, DDB write, SNS publish |
secrets-rotator | Secrets Manager rotation hook | createSecret / setSecret / testSecret / finishSecret stages |
ops-intel-collector | EventBridge rate(1 hour) | SQS fan-out to 5 probe queues |
ops-intel probes (5x) | SQS | Domain-scoped AWS API reads, S3 raw partition writes |
ops-intel-reporter | EventBridge on probe completion | S3 read, DDB write, Bedrock Haiku summarize, SNS digest |
Use Powertools BatchProcessor for SQS-triggered Lambdas:
from aws_lambda_powertools.utilities.batch import (
BatchProcessor, EventType, batch_processor,
)
processor = BatchProcessor(event_type=EventType.SQS)
@tracer.capture_method
def record_handler(record: SQSRecord) -> None:
payload = json.loads(record.body)
# process one record; raise on failure for partial batch
@logger.inject_lambda_context
@tracer.capture_lambda_handler
@metrics.log_metrics
def handler(event: dict, context: LambdaContext) -> dict:
return processor.process(event, record_handler)
Partial batch failure: configure FunctionResponseTypes: ReportBatchItemFailures in the event source mapping (Terraform side). Failed records retry; successful ones don't.
Per AGENTS.md, the webhook-handler must deduplicate GitHub webhook deliveries:
X-GitHub-Delivery header as MessageDeduplicationId.catalyst-idempotency DynamoDB table with event_key_jmespath set to the delivery ID.Lambda functions are packaged as Docker images (not zip):
FROM public.ecr.aws/lambda/python:3.14 AS builder
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt -t /opt/python
FROM public.ecr.aws/lambda/python:3.14
COPY --from=builder /opt/python ${LAMBDA_TASK_ROOT}
COPY src/ ${LAMBDA_TASK_ROOT}/
CMD ["handler.handler"]
Per Platform Engineering for Architects Ch 5 (pp 167-175): source → container image → metadata-enriched deployment artifact. Tag images with git SHA, never :latest.
webhook-handler (latency-sensitive, API Gateway origin).__init__ outside the handler.POWERTOOLS_DEV=true locally for human-readable logs; JSON in production.logger.info("webhook_received",
delivery_id=delivery_id,
event_type=event["headers"]["X-GitHub-Event"],
repo=payload["repository"]["full_name"],
)
Every log line automatically includes trace_id (X-Ray), request_id (Lambda context), service, cold_start, and sampling_rate via Powertools.
metrics.add_metric(name="WebhookProcessed", unit=MetricUnit.Count, value=1)
metrics.add_dimension(name="EventType", value=event_type)
metrics.add_dimension(name="Repository", value=repo_name)
Per AGENTS.md: emit EMF metrics for any long-running operation with latency, error count, and relevant dimensions.
error level, return failure response, do NOT retry.IllegalTransitionError, comment on the GitHub Issue, move to DLQ.# tests/unit/test_webhook_handler.py
from aws_lambda_powertools.utilities.data_classes import APIGatewayProxyEventV2
def test_valid_push_event(mock_sqs, sample_push_payload):
event = APIGatewayProxyEventV2({"body": json.dumps(sample_push_payload), ...})
result = handler(event.raw_event, MockContext())
assert result["statusCode"] == 200
mock_sqs.send_message.assert_called_once()
Use Powertools event classes for test fixtures. Mock AWS services with moto or manual mocks.
infrastructure/modules/composite/lambda-python-fn/)boto3 in handler hot path — use aioboto3 or Powertools utilities.print() — Powertools Logger only.get_secret utility.:latest image tags — git SHA or semver.Source: Cloud-Byte-Consulting/Catalyst — distributed by TomeVault.