Skill UI

A rigorous framework designed to audit GitHub Actions workflows for exploitable security vulnerabilities. This skill focuses strictly on real-world attack patterns, requiring every identified finding to include a concrete exploitation scenario (Entry Point, Payload, Impact). Ideal for securing CI/CD pipelines against external attackers.

Free, open-source reverse engineering with Ghidra: GUI or headless decompilation, cross-reference analysis, Java/PyGhidra scripting, and optional Ghidra MCP workflows. Best when IDA is unavailable or for bulk, scripted, CI-driven binary analysis.

Master advanced Git techniques like interactive rebase, cherry-picking, and bisecting to maintain clean history, collaborate effectively, and recover from mistakes. Ideal for managing complex branch workflows and preparing clean PRs.

This skill analyzes the comprehensive commit history between two branches to generate a concise, objective, and highly structured Pull Request (PR) description. It automatically groups changes by domain, summarizing the purpose, technical notes, and user impact, ensuring consistency and minimizing manual documentation effort.

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.

A specialized diagnostic skill designed to analyze failing GitHub Actions workflow logs. It identifies the root cause of crashes, such as missing secrets, environment mismatches, or deprecated syntax. The output provides precise YAML or code diffs required to fix the pipeline and optimize CI/CD processes.

Automate GitHub operations like issues, pull requests, branches, and workflows using Rube MCP. Ensures repository policy compliance and safe programmatic changes. Ideal for CI/CD integration and repository maintenance tasks requiring strict access control and verification.

This skill provides patterns for automating GitHub workflows with AI assistance. It helps in automating PR reviews, setting up issue triage, creating GitHub Actions workflows, and integrating AI into CI/CD pipelines. It also covers automating Git operations like rebases and cherry-picks. Inspired by modern DevOps practices and tools like Gemini CLI, this skill streamlines development processes and reduces manual effort in repository management.

A comprehensive guide to production-grade concurrency patterns in Go. It details the proper use of goroutines, channels, sync primitives, and context management. Use this skill when building highly concurrent applications, implementing worker pools, managing goroutine lifecycles, or debugging race conditions in Go.

This specialized guide is essential for developers migrating projects from Godot 3.x to Godot 4. It systematically covers major technical updates, including GDScript 2.0 syntax changes, mandatory `@export` annotations, adopting the modern `create_tween()` system, and updating signal connections and coroutine handling from `yield` to `await`. Use this resource to ensure a smooth and efficient engine upgrade.

Run GDScript test suites from the command line using godot --headless, with a SceneTree runner that exits non-zero on failure for CI. Use when a Godot project needs unit tests without editor, or when wiring CI jobs that must fail on failing .gd tests.

Learn to operate GPU-backed Kubernetes clusters for AI inference and training workloads. Covers NVIDIA GPU Operator installation, device plugin configuration, MIG partitioning for resource sharing, and time-slicing for non-MIG GPUs. Includes GPU-aware autoscaling, health monitoring with DCGM and Prometheus, and troubleshooting scheduling or driver issues. Essential for production AI infrastructure management.