Skill UI

This workflow orchestrates review, tests, commits, and branch pushes using parallel agents to ensure changes move through validation into a pull request. It enforces repository policies, branch protection, and security checks before merging. Ideal for completed implementation work requiring strict validation, automated testing, and compliance with maintainer guidelines without bypassing safeguards.

This agent automates iOS app debugging on a booted simulator using XcodeBuildMCP. It handles project building, running, UI interaction, screenshot capture, and log monitoring. Ideal for testing and inspecting app behavior during development cycles without manual intervention.

KubeStellar Console is an open-source, multi-cluster Kubernetes dashboard (CNCF project) that provides advanced operational capabilities powered by an MCP server and built-in AI agent skills. It helps manage complex deployments across edge and cloud environments, offering AI-assisted troubleshooting, performance testing, and deep integration with major CNCF projects like Argo and Istio.

A comprehensive index of 46 production-grade test automation skills, covering E2E, unit, mobile, BDD, and cloud testing across 15+ languages. This skill equips AI coding assistants to act as senior QA architects, generating structured, real-world test code for major frameworks like Playwright, Selenium, Cypress, and Jest. It supports project setup, CI/CD integration, and cross-platform debugging.

Conduct authorized security assessments for LLM applications and AI agents. Covers prompt injection, tool abuse, RAG exposure, memory poisoning, and system prompt extraction following OWASP LLM/ASI Top 10 guidelines. Includes red-teaming, vulnerability mapping, and compliance engineering for AI systems to ensure safety and robustness.

Expert skill for building Model Context Protocol (MCP) servers and tools from scratch. Covers the full development lifecycle—from defining tool schemas and resources to implementation, testing, and publishing to registries. Supports robust patterns using TypeScript and Python for integrating custom capabilities into AI agents.

Coordinates a bounded code review of a defined diff from correctness, authorization and performance perspectives, delegating to independent agents only when authorized and reproducing important findings centrally.

Squirrel is an advanced, full-cycle AI coding skill designed to guide software development from concept to production. It automatically detects the current project state (greenfield, in-progress, or mature) and adapts an 8-phase engineering pipeline. This comprehensive workflow covers planning, building, rigorous testing, bug hunting, code polishing, documentation, and deployment readiness, ensuring high-quality, maintainable results.

Execute a comprehensive Test-Driven Development (TDD) workflow enforcing the red-green-refactor discipline. This skill guides test-first development through coordinated agent orchestration, covering requirements analysis, unit test creation, implementation, refactoring, and integration testing with strict coverage thresholds.

This skill verifies Python code changes by running mutation testing on modified lines. It generates tests to catch mutants and reports evidence of coverage rather than diffs. It ensures changes are properly tested before completion, using pytest and mutation analysis to validate correctness and prevent unnoticed regressions in software development workflows.