By easingthemes
Autonomous AI agents for ADO workflows — Definition of Ready checker, Definition of Done checker, DoD fixer, PR reviewer, PR answerer. Runs as ADO pipelines triggered by AWS Lambda webhooks.
npx claudepluginhub easingthemes/dx-aem-flow --plugin dx-automationCreate 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.
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.
Run a health check on the AI automation setup — verifies local file integrity, ADO pipeline configuration, and (for hub only) Lambda function state. Profile-aware — adapts checks based on automationProfile in infra.json.
Run the AI automation evaluation framework against test fixtures. Verifies agent quality without hitting ADO or LLM APIs. Use after changing prompts, rules, or agent steps. Accepts --all, --agent, --tier2 flags.
Scaffold AI automation for a project. Asks whether this is the hub (all agents + AWS infra) or a consumer (PR pipelines only). Sets up .ai/automation/, generates infra.json. Run once after dx-init.
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.
Import ADO pipelines for enabled AI automation agents and set all required pipeline variables. Profile-aware — imports only pipelines for the configured profile (consumer or full-hub). Reads config from .ai/automation/infra.json.
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.
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.
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.
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.
AI-powered Azure DevOps integration with skills - Intelligent work item management, configuration, and automation for Azure DevOps workflows with MCP integration
Share bugs, ideas, or general feedback.
Project management agents — agile coach, delivery manager, progress tracking
Persona-driven AI development team: orchestrator, team agents, review agents, skills, slash commands, and advisory hooks for Claude Code
SDLC enforcement for AI agents — TDD, planning, self-review, CI shepherd
Implementation planning, execution, and PR creation workflows with multi-agent collaboration
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.