claude

dx-automation

Eleven autonomous AI agents for ADO workflows — DoR checker, DoD checker, DoD fixer, PR reviewer, PR answerer, BugFix, QA, Dev, Doc, Estimation, and SimpleAgent. Run as ADO pipelines triggered by Azure-native Service Hooks (no AWS required); an AWS Lambda router is optional for central dedupe and rate limiting.

7 on GitHubby Dragan Filipovicv3.14.1MITupdated 3 days ago
/

Plugin dx-automation from marketplace dx-aem-flow in easingthemes/dx-aem-flow. Commands read from the repo's manifest — 3 days ago.

What it installs

Skills (10)

  • auto-alarms

    Create CloudWatch alarms and SNS subscription for AI automation monitoring. Creates 4 alarms (DLQ depth, WI-Router errors, PR-Router errors, throttles) and subscribes an email address to alerts. Reads config from .ai/automation/infra.json.

  • auto-deploy

    Deploy Lambda code for AI automation agents (wi-router and/or pr-router). Packages agent steps + shared libs into a zip and uploads to AWS Lambda. Safe to re-run after code changes. Reads function names from .ai/automation/infra.json.

  • auto-doctor

    Health check of the AI automation setup — local files, ADO pipeline configuration, Lambda state. Use when automation seems broken, for 'check automation'.

  • auto-init

    Scaffold AI automation for a project — sets up .ai/automation/ and infra.json; each project owns its pipelines (and optional AWS infra). Run once after /dx-init.

  • auto-lambda-env

    Set environment variables on AI automation Lambda functions. Interactively collects secrets and operational values, then applies them via AWS CLI. Reads function names and pre-filled values from .ai/automation/infra.json.

  • auto-pipelines

    Import ADO pipelines for enabled AI automation agents and set all required pipeline variables. Imports all enabled pipelines — each project is self-contained. Reads config from .ai/automation/infra.json.

  • auto-provision

    Create all AWS resources for AI automation agents — DynamoDB tables, SQS queue, S3 bucket, SNS topic, IAM role, Lambda functions, and API Gateway. Reads config from .ai/automation/infra.json. Idempotent — skips already-existing resources.

  • auto-status

    Show operational dashboard for AI automation agents — DLQ depth, monthly token budget, and daily rate limit usage. Hub profile only — requires AWS credentials. Read-only.

  • auto-test

    Run a local dry-run of an AI automation agent against real ADO data (no posts/commits made). Use to verify end-to-end connectivity and agent output before going live. Requires ADO PAT and LLM credentials in .env.

  • auto-webhooks

    Configure ADO service hooks and PR Review build validation policy for AI automation agents. Uses ADO REST API via az rest (no native CLI command for service hooks). Reads all config from .ai/automation/infra.json.

View source on GitHub easingthemes.github.io

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