Найдите подходящую возможность для вашего агента.
Specialized agent for comprehensive testing of the BarqNet project across all platforms and layers. Handles unit testing, integration testing, E2E testing, performance testing, security testing, and test automation. Creates test plans, writes test code, executes tests, and generates test reports. Use when implementing tests, debugging test failures, or validating functionality.
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.
JupyterLab ML/AI development environment management via Podman Quadlet. Supports multi-instance deployment, GPU acceleration (NVIDIA/AMD/Intel), token authentication, and per-instance configuration. Use when users need to configure, start, stop, or manage JupyterLab containers for ML development.
Automatically deploys to Vercel production, uses Vercel MCP to fetch build logs, analyzes errors, fixes them, and retries until successful deployment. Use when deploying to production or fixing deployment issues.
Design versioning, cache busting, progressive rollout, and rollback for remote WebF bundles. Use when the user mentions version pinning, cache busting, force update, rollback, feature flags, or staged rollout.
Show details about a specific deployment. Requires authentication. Use for Agentuity cloud platform operations
Use when user encounters CI errors, JSR connection issues, 'deno task ci' failures, or sandbox-related build problems. Provides solutions for common CI issues.
Use when you have a spec or requirements for a multi-step task, before touching code
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.
Maintain code quality using Biome linting, formatting, and git hooks. Use this when the user asks about linting errors, code formatting, Biome configuration, fixing code style issues, organizing imports, or ensuring code quality standards before commits.
Reviews UI test scenarios for RALPH chart and AC coverage. Detects uncovered constraints and acceptance criteria. Use as part of parallel UI test scenario review.
Code review workflow for evaluating changes against standards. Use when reviewing pull requests, commits, or diffs.
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.
⚠️ MANDATORY - Automatically invoked by safe-commit. Executes comprehensive testing suite including unit tests (minimum 90% coverage), integration tests, and E2E tests (100% pass required). Reports coverage and failures. MUST pass before commit. NEVER run tests manually before commit.
Deploy and manage ArgoCD using the App-of-Apps pattern. Covers bootstrap Applications, ApplicationSets, and GitOps workflows. Use when setting up or troubleshooting ArgoCD deployments.
Filters PlatformIO output to reduce token usage in agentic tools. Returns success confirmation on successful builds and only error lines on failures instead of full logs. Use when agentic tools need to run PlatformIO commands to reduce context token consumption.
