Skill UI

This methodology guides users to ask critical, load-bearing questions when faced with ambiguous, vague, or assumption-laden requirements. It helps surface hidden requirements and undefined terms, ensuring that the development process is based on explicit, agreed-upon facts rather than guesswork. Use it to define the true problem and scope before committing to a solution.

This methodology guides the development of new features, product slices, or integrations while mitigating the risk of overbuilding. It mandates an architecture-first approach, requiring the definition of clear acceptance criteria and explicit non-goals. The process focuses on delivering a coherent end-to-end path across responsible system layers, omitting unnecessary configuration, polish, or complexity, and halting immediately upon successful acceptance testing.

This skill guides the advanced process of reverse engineering vulnerabilities from vendor-released security patches (N-day). By performing binary diffing between patched and unpatched binaries, users can pinpoint specific code changes (e.g., new boundary checks, locks) to infer the original vulnerability class (e.g., OOB, Race Condition) and develop a working Proof of Concept (PoC) for weaponization.

This skill automates the setup of continuous integration and continuous deployment (CI/CD) pipelines specifically for Power Pages solutions within the Power Platform. It creates pipeline configurations natively in Dataverse, eliminating the need for external YAML files or separate CI/CD infrastructure. It guides users through the Application Lifecycle Management (ALM) process, ensuring structured, automated deployment from development stages to production.

A robust, shell-free utility designed to launch executables and their arguments into a visible host terminal window. It supports multiple advanced modes including dry-run inspection, capability detection, detached fallback, and standalone recovery. Ideal for applications needing to securely execute interactive CLIs, SSH sessions, or local development processes in a reliable, non-interpolated manner.

This skill allows delegating self-contained coding tasks to assistants like Codex or Claude Code via non-interactive background processes. It supports feature development, code review, and refactoring. Use OpenSquilla's exec_command and process tools to manage sessions, poll output, and send inputs without blocking the main workflow. Ideal for tasks requiring substantial file exploration.

Specialize in creating efficient CI/CD pipelines and GitHub Actions workflows to automate development processes. This skill reduces manual work, improves consistency, and accelerates delivery while maintaining quality and security. Ideal for designing multi-stage build, test, and deploy flows, replacing manual steps with reliable automation.

This skill enables Git-aware undo operations based on logical work units such as tracks, phases, or tasks. It helps developers revert changes safely by identifying specific commits associated with development workflows. It includes pre-flight checks, execution planning, and conflict handling to ensure version control integrity during reversion processes.

This guide provides a comprehensive reference on Agent Skills, a standardized and powerful method for providing structured context, workflows, and tools to Large Language Models (LLMs). It details the anatomy of the SKILL.md file, the three-stage progressive disclosure loading process, and best practices for creating both capability (tool-based) and process (workflow-based) primitives. Use this resource when designing, reviewing, or debugging agent-driven applications to ensure reliable and context-efficient performance.

Master secure Electron desktop app development: multi-process architecture, contextIsolation, IPC communication, preload scripts, electron-builder packaging, code signing, and auto-update strategies.

This skill enables the makepad-skills library to continuously self-improve during development. It uses Claude Code hooks for automatic triggering, routing relevant skills based on context, and facilitating self-correction and validation. It guides developers on when to evolve skills, how to classify new knowledge, and the process for contributing patterns or solutions back to the library.

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.