Skill UI

A comprehensive, end-to-end workflow bundle guiding developers through the entire software development lifecycle. It covers project scaffolding, frontend development (React/Next.js), robust backend architecture, database design, rigorous testing (TDD, E2E), code quality review, and modern CI/CD deployment practices for web and mobile applications.

This skill outlines a systematic, multi-phase workflow for diagnosing hard bugs and performance regressions in complex codebases. It emphasizes the critical necessity of building a tight, deterministic feedback loop (Phase 1) before moving to hypothesis generation. The process guides users through reproducing the failure, minimizing the scope of the issue, and forming actionable, ranked hypotheses.

Generate, refine, and validate diagrams from natural language, notes, code, or schemas. Supports Mermaid, Graphviz, and PlantUML for flowcharts, architecture, and state machines. Ideal for turning textual analysis into visuals, producing attack-path graphs, or creating editable diagram sources for reports and documentation.

A powerful plugin enabling Claude Code to delegate complex tasks to external AI CLIs (such as OpenAI Codex or Google Antigravity/Gemini) without exiting the conversation. It supports multi-model workflows, allowing users to seek a second opinion, cross-check deep analysis, or delegate side tasks (like research or code review). The core value is that Claude synthesizes the raw outputs, providing a critical review and reconciliation of findings across all consulted models.

This guide details the comprehensive workflow for distributing a single AI skill across various local agent skill directories (Codex, Claude, Pi, Hermes). It addresses canonical locations, symlink management, and specific synchronization commands to ensure that all agents detect the latest skill version while correctly navigating common development pitfalls.

This comprehensive workflow bundle guides the entire documentation lifecycle for software projects. It covers planning, API specification (OpenAPI), architectural design (C4 model), code commenting (JSDoc/TSDoc), generating READMEs, and maintaining structured knowledge bases (Wikis, Changelogs). Use this system when documenting a new product, maintaining an evolving codebase, or creating comprehensive technical guides.

This skill focuses on reversing JavaScript-based custom DSL and Virtual Machine interpreters, commonly found in risk-control and captcha engines. It involves identifying IIFE and switch-based opcode dispatch patterns, extracting opcode tables, and capturing runtime semantics. The workflow includes static analysis for variable mapping and opcode classification, as well as runtime injection techniques to understand exported functions. It excludes standard WASM and typical Webpack bundles.

Build reliable and maintainable end-to-end test suites to ensure code quality, catch regressions early, and validate critical user workflows across browsers and environments. Ideal for CI/CD pipelines and automation strategies.

Use eBPF for deep kernel-level observability: trace syscalls, network flows, and application behavior without code changes using Cilium, Tetragon, and bpftrace.

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.

Orchestrate comprehensive legacy system modernization using the strangler fig pattern. This workflow enables gradual replacement of outdated components while maintaining continuous business operations through expert agent coordination. It includes legacy assessment, dependency mapping, risk analysis, test coverage establishment, and incremental migration implementation to minimize disruption and maximize modernization velocity.

This skill fetches unread GitHub notifications for open pull requests where review is requested from a specific team or opened by a team member. It helps developers identify pending review tasks without manually browsing notifications, streamlining the code review workflow using GitHub CLI.