Results for “pr”

Runs project-specific commands defined in a justfile, a Make-inspired syntax supporting parameters, dependencies, and multi-language recipes.

Generates production-ready Terraform files for AWS infrastructure, writing complete .tf files for any cloud architecture without deploying.

Validates App Store submission readiness, submits prepared versions, and monitors review status using current asc commands.

Builds reliable background processing with Inngest, covering durable workflows, step functions, and scheduled jobs without managing infrastructure.

Conduz investigação de incidentes com método: triagem, hipóteses, mitigação, RCA e postmortem, priorizando evidências e confirmação humana.

Query, filter, transform, and aggregate JSON data using jq, with practical patterns for shell pipelines and integration with CLI tools.

Optimizes Dockerfiles, container security, multi-stage builds, Compose orchestration, and production deployment patterns.

Patterns for debugging and extending the AegisNex GitHub Actions CI pipeline. Covers common failure modes, encoding issues, dependency problems, and how to add new CI steps.

Auto-review pipeline — reads the full CEO, design, eng, and DX review skills from disk and runs them sequentially with auto-decisions using 6 decision principles. (gstack)

Use this when the system needs logging, metrics, tracing, alerting, or operator-visible runtime signals for APIs, workers, integrations, serverless functions, or local-to-production supportability.

Scaffolds fullstack projects (Next.js, FastAPI, MERN, Django) and analyzes code quality with security and complexity scoring.

Manage Azure API Management services, APIs, products, subscriptions, and policies using the Python SDK.

Discovers available Azure OpenAI model capacity across regions and projects, analyzes quota limits, and recommends optimal deployment locations.

Finds the open GitHub PR for the current branch and helps address review comments using the gh CLI.

Diagnose pod crashes, restart loops, Redis failures, resource pressure, and other service misbehavior in the crs namespace on Kubernetes.

Automates Azure OpenAI model deployment by checking capacity across regions and deploying to the best available option.

Implements gradual traffic shifting, automated canary deployments with metric analysis, rollback automation, and observability dashboards for progressive releases.

Define and provision cloud infrastructure declaratively with Terraform, including reusable modules for Kubernetes clusters, databases, storage, and networking.

Analyze and manage justfiles, recipes, and variables with a discovery-first workflow, including dry-run previews and structured reports.

Use when SaaS deployment, CI/CD pipelines, infrastructure automation, or platform operations is needed. This agent specializes in SaaS DevOps within the SaaSForge AI ecosystem.

Visual UI review, browser-based design QA, and product-effectiveness critique for Nick's apps using Chromium/Playwright. Use when reviewing a live page or deploy to judge not just visual polish, but whether the interface supports clarity, trust, activation, conversion, responsiveness, and the product's strategic wedge. Best used after build/deploy to push a UI from acceptable to excellent with evidence from screenshots and browser inspection.

Orquestrador do pipeline de evolução do Reversa. Detecta o estágio físico da feature ativa em `_reversa_forward/` e sugere o próximo agente do ciclo forward (requirements, clarify, plan, to-do, audit, quality, coding). Use quando o usuário digitar "/reversa-forward", "reversa-forward", "iniciar evolução", "iniciar pipeline forward" ou pedir para conduzir o ciclo de uma feature do zero ao código. Não escreve artefatos de feature por conta própria, apenas roteia.

Design, tune, and evaluate production RAG pipelines with deterministic tools for chunking, pipeline design, and retrieval evaluation.

Provides technical leadership frameworks for architecture decisions, engineering team scaling, technology strategy, and technical debt assessment.

Create and manage OAuth2-capable identities for AI agents using Microsoft Graph beta API.

Generate infrastructure code (Bicep/Terraform), azure.yaml, and Dockerfiles for Azure deployment, with a mandatory planning workflow.

Provides guidance on using Neon Serverless Postgres, including setup, connection methods, features like branching and autoscaling, and references to official documentation.

Migrate .NET 9 projects to .NET 10 by updating target frameworks, resolving breaking changes, and fixing build errors.

Generates APEXlang artifacts for Oracle APEX applications using deterministic local-context discovery and compact machine-readable contracts.

Helps write and edit EAS CI/CD workflow YAML files for Expo projects, including schema validation and resource fetching.

Capture application requirements and access patterns to design Azure Cosmos DB NoSQL data models using best practices and common patterns.

Automate Neon serverless Postgres operations: manage projects, branches, databases, roles, and connection URIs via the Composio MCP integration.

Track ML experiments, manage model registry with versioning, deploy models to production, and reproduce experiments with MLflow.

Instrument LLM applications with Langfuse to trace, score, and monitor cost, quality, and latency across OpenAI and LangChain integrations.

Provides a sandboxed execution environment for running code snippets, automating tasks, and deploying logic across multiple languages with resource capping and network isolation.

Provides a command-line interface to manage Ansible, Terraform/OpenTofu/Terragrunt, PowerShell, and other DevOps tools through a modern UI and API.