Skill UI

Generate complete, production-ready REST API implementations from existing OpenAPI specifications or database schemas. This skill scaffolds all necessary CRUD endpoints (GET, POST, PUT, DELETE) across multiple frameworks (Express, FastAPI, Spring Boot, etc.), automatically incorporating features like pagination, filtering, validation, and robust authentication middleware. Ideal for rapidly bootstrapping complex backend services from defined data models.

Automatically produce mocks, stubs, spies, or fakes for unit tests by analyzing dependencies and using frameworks like Jest or Sinon, so you can isolate modules quickly without hand-writing boilerplate doubles.

Aggregates test results from multiple frameworks, computes coverage/pass rate trends, and produces stakeholder-friendly HTML, PDF, or JSON reports for CI/CD test reports, coverage checks, failure analysis, or historical comparisons.

Sets up production-grade Genkit infrastructure via Terraform, covering Firebase Functions, Cloud Run, GKE, AI monitoring, and CI/CD wiring so deployments run securely at scale.

Validates Vertex AI Agent Engine GitHub Actions workflows, enforcing Workload Identity Federation, least-privilege IAM, OIDC permissions, and security scanning so GCP deployments stay automated and secure.

Uses the GitHub CLI to inspect failing PR checks in GitHub Actions, collect log snippets, draft a fix plan, and implement changes only after explicit approval so CI failures are resolved with clear context.

Master advanced Git techniques, including interactive rebase, cherry-picking, and bisecting, to manage complex version control scenarios. This guide provides structured workflows for cleaning commit history before merging, recovering from accidental changes, and efficiently tracking down the source of bugs across diverging branches.

This skill orchestrates a comprehensive, multi-stage Git development workflow, simulating the process from code commit to PR preparation. It leverages specialized AI agents (code reviewers, test automators, prompt engineers) to systematically enforce best practices. Key functions include code quality assessment, breaking change analysis, running unit/integration/E2E tests, and generating Conventional Commit messages, ensuring code readiness and high quality before merging.

Automated DevOps helper for Git workflow manager tasks, triggering on mentions to offer best practices, code and configuration generation, and validation across version control, containerization, CI/CD, and foundational infrastructure topics.

Automates guidance for Github Actions starters within the DevOps Basics domain, offering step-by-step best practices, production-ready configurations, and validation so teams can launch CI/CD, Git, Docker, and infrastructure workflows with confidence.

A collection of production-ready GitHub Actions workflow patterns designed for automating the entire software development lifecycle (SDLC). Use these templates to streamline continuous integration (CI), build Docker images, deploy to Kubernetes clusters, perform security scans, and execute matrix testing across various tech stacks.

Automate GitHub repositories, issues, PRs, branches, CI/CD, and permissions through Composio’s Rube MCP toolkit, enabling programmatic workflows, reviews, searches, and deployments across connected repos.