Boost efficiency with task automation and organizers.
AI-powered enterprise web application testing orchestrator with Context7 integration, intelligent test generation, visual regression testing, cross-browser coordination, and automated QA workflows for modern web applications
Expert-level git workflow management, conventional commits, branching strategies, and merge operations. Use for git operations, branch management, and commit standardization.
Manage GitHub releases - create releases, upload assets, manage tags, and generate release notes using gh CLI
Automatically generate comprehensive QA test plans when user mentions testing requirements, QA needs, or asks what should be tested. Analyzes code changes and features to create structured test scenarios. Invoke when user mentions "test plan", "QA", "what to test", "testing requirements", or "test scenarios".
Unified documentation validation ecosystem with AI-powered features
skill__spec__step_update `spec step update` [STEP] Create, update, or delete steps within E2E test tasks.
Writing unit, integration, or E2E for any @aamini-stack app/project
Execute end-to-end tests for Nikita using Telegram MCP, Gmail MCP, Supabase MCP, Chrome DevTools MCP, and gcloud CLI. Use when verifying implementations, testing user journeys, validating integrations, performing regression testing, or after completing any feature implementation. MANDATORY after /implement completes.
Build reusable Terraform modules for AWS, Azure, and GCP infrastructure following infrastructure-as-code best practices. Use when creating infrastructure modules, standardizing cloud provisioning, or implementing reusable IaC components.
Comprehensive verification workflow that validates implemented changes against requirements, verifies i18n keys, checks API interface consistency, and tests application flows using browser automation. Use this skill when implementation is complete and needs thorough validation before marking as done.
Intelligent agent that monitors, analyzes, and improves test suite health. Detects flaky tests, identifies coverage gaps, tracks test performance trends, and recommends improvements. Ensures test suites remain valuable and maintainable over time.
Production-ready release workflow examples with signed releases, SLSA provenance, artifact attestations, and minimal permissions.
Generate comprehensive E2E test plans from PRDs, task lists, or descriptions with environment-aware prerequisites and issue tracking.
Generate comprehensive E2E test plans from PRDs, task lists, or descriptions with environment-aware prerequisites and issue tracking.
Expert-level Google Cloud CLI (gcloud) skill for managing GCP resources. Use when working with "gcloud commands", "cloud run deploy", "alloydb", "cloud sql", "workload identity federation", "iam permissions", "vpc networking", "secret manager", or "artifact registry". Covers installation, authentication, IAM, Cloud Run, Cloud Storage, VPC, AlloyDB, Firebase, and CI/CD integration with GitHub Actions and Cloud Build.
Cloudflare R2 object storage - upload, download, list, delete files, presigned URLs. Trigger: When working with R2 storage, file uploads, object storage, presigned URLs.
This skill should be used when the user asks about "Cloudflare", "Workers", "Pages", "R2", "D1", "KV", "Durable Objects", "Queues", "Vectorize", "AI Gateway", "Hyperdrive", "Cloudflare API", "Wrangler", "Cloudflare documentation", "how to deploy to Cloudflare", "Cloudflare best practices", "Cloudflare pricing", "Cloudflare limits".
Expert knowledge for using Azure Resource Manager (ARM) template functions, especially reference(), listKeys(), and resourceId() in subscription-level and nested deployments. Use when working with ARM templates, encountering template validation errors, or implementing cross-scope resource references.
TypeScript SDK for AWS SES with automatic credential resolution, React.email support, and template management.
Secretless authentication to cloud providers using OpenID Connect federation. GCP, Azure, and cloud-agnostic examples with subject claim patterns and trust policies.
Provides comprehensive Google Cloud Platform (GCP) guidance including Compute Engine, Cloud Storage, Cloud SQL, BigQuery, GKE (Google Kubernetes Engine), Cloud Functions, Cloud Run, VPC networking, load balancing, IAM, Cloud Build, infrastructure as code (Terraform, Deployment Manager), security configuration, cost optimization, and multi-region deployment. Produces infrastructure code, deployment scripts, configuration guides, and architecture designs. Use when deploying to Google Cloud, designing GCP infrastructure, migrating to GCP, configuring GCE instances, setting up Cloud Storage, managing Cloud SQL databases, working with BigQuery, deploying to GKE, or when users mention "Google Cloud", "GCP", "Compute Engine", "Cloud Storage", "BigQuery", "GKE", "Cloud Run", "Cloud Functions", "VPC", "Cloud SQL", or "Google Cloud Platform".
