Skill UI

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.

Audits GitHub Actions workflows for security vulnerabilities in AI agent integrations like Claude Code and OpenAI Codex. Detects attack vectors where attacker-controlled input reaches AI agents in CI/CD pipelines through static analysis.

Generate tailored AGENTS.md and companion rules by analyzing your codebase. It detects package managers, validates commands, and creates specific guidelines for architecture, testing, and workflows. Supports full, minimal, update, and dry-run modes to ensure project-specific AI agent configurations without generic templates.

Secure AI coding agents such as Claude Code, Cursor, Codex and Copilot with permission boundaries, secret scanning, sandbox isolation, command allowlists and code review gates for team environments.

End-to-end workflow for generating OpenAPI specs, developer guides, code examples, interactive API docs, and maintaining comprehensive API documentation.

This skill provides guidelines for creating modern and maintainable Avalonia UI layouts using the Zafiro.Avalonia library. It emphasizes semantic containers, shared styles, and minimizing XAML redundancy. Users should follow best practices for themes, icons, behaviors, and components to ensure clean code and consistent design across applications.

This skill provides comprehensive patterns and techniques for analyzing compiled binaries and understanding assembly code. It covers x86-64, ARM, and calling conventions, helping users reconstruct program logic. Use it for reverse engineering tasks, security analysis, and debugging low-level code.

Migrates symbols and annotations across binary versions using BinDiff-style workflows: compares disassembly and pseudocode with an LLM, then applies YAML mapping results to the new IDB.

This skill specializes in creating comprehensive C4 code-level documentation for software projects. It analyzes code directories to generate detailed function signatures, arguments, dependencies, and structural information. It supports various programming paradigms including Object-Oriented, Functional, and Procedural code by producing appropriate Mermaid diagrams like class diagrams and flowcharts. Use this when you need to document internal code structures, visualize component relationships, or establish best practices for code-level documentation within a specific directory.

Example template for building project-specific skills that document architecture, file structure, code patterns, AI integration, testing requirements and deployment workflows for a full-stack application.

Deep expertise in Anthropic's Claude Code CLI: configure hooks, MCP connections, permissions, CLAUDE.md memory, sub-agents, and advanced workflows to maximize developer productivity.

This skill monitors the performance of Claude Code and your local system environment. It diagnoses slowness, measures CPU, RAM, and disk usage, checks API latency, and generates system health reports. It helps identify bottlenecks like high CPU usage, memory pressure, or network latency affecting your coding workflow.