Skill UI

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

Provides comprehensive guidance on building robust evaluation frameworks for complex agent systems. It addresses the inherent challenges of non-determinism and multiple valid paths, enabling systematic performance testing, validating context engineering choices, and measuring continuous improvements across multiple quality dimensions (e.g., factual accuracy, tool efficiency).

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.

Helps understand and write EAS workflow YAML files for Expo projects. Use for CI/CD or workflows in an Expo/EAS context, .eas/workflows/, EAS build pipelines, or deployment automation.

Get your project to 100% AI-readiness fast. The AI auto-detects your stack and only asks for what it can't know — your goal and the human 'why'. Minimum typing, maximum context for time-conscious builders building AI-readable project context.

FAF Expert is an advanced tool for creating standardized, persistent context for complex software projects. It uses the IANA-registered FAF format to transform codebases into AI-intelligent assets. Use it for multi-AI workflow management (Claude, Gemini, etc.), enterprise-grade deployment, and standardizing project context across development lifecycles.

FAF Go is a guided interview skill designed to help users achieve 100% AI-readiness in their .faf project context files. It leverages Claude Code's AskUserQuestion tool to fill missing project details like goals, stack, and hosting. Users type /faf-go to start, answering questions until the Gold Code score reaches 100%. It supports single and multi-select options for fields like testing and CI/CD.

Automatically scans any codebase, detects its stack, and generates a persistent project.faf AI context plus readiness scoring so every AI tool can instantly understand and contribute to your project.

Manages agent context by offloading large tool outputs, plans, and sub-agent findings to files for on-demand retrieval, reducing context window bloat and preserving fidelity in long-horizon tasks.

This skill helps developers create highly focused, folder-specific documentation (`CLAUDE.md` and `AGENTS.md`). It systematically analyzes all files in a target directory to extract project purpose, operational constraints, naming conventions, and critical decisions. This deep context ensures that future AI agents (like Claude or Codex) operate with localized knowledge, preventing them from relying on global, generalized instructions and improving their accuracy in that specific domain.

An advanced debugging skill designed for AI agents. It utilizes gdb-cli to provide intelligent assistance for C/C++ programs, enabling the analysis of core dumps, debugging live processes, and investigating complex issues like crashes, deadlocks, and memory corruption. It correlates runtime state inspection with source code context for deeper insights.

This skill guides the creation and maintenance of a `.geminiignore` file. By systematically filtering out machine-generated noise—such as build artifacts, dependency lock files, logs, and caches—it significantly optimizes the AI agent's context window. This process improves processing speed and, critically, reduces token consumption costs (FinOps).