Skill UI

A comprehensive template for developing modern, full-stack applications. This guide covers architecture overview, file structure, and best-practice code patterns for advanced technology stacks including Next.js, FastAPI, Supabase, and structured AI integration using Claude API. It serves as a robust blueprint for professional development teams.

This skill enables Claude to generate production-ready CI/CD pipeline configurations for major platforms, including GitHub Actions, GitLab CI, and Jenkins. It automates the entire software development lifecycle, supporting best practices for testing, building, security scanning, and multi-environment deployment. Use this when setting up automated software delivery workflows.

This advanced skill analyzes an existing codebase to identify architectural patterns, dependencies, and technical stacks. It recommends tailored Claude Code automations—including Hooks, Subagents, Skills, Plugins, and MCP Servers—to optimize development workflows, improve code consistency, and enhance overall project scalability. Use this when setting up a new project or looking to refine existing Claude Code configurations.

This skill provides comprehensive guidance on leveraging d3.js (Data-Driven Documents) to create sophisticated, interactive, and publication-quality data visualizations. It covers core concepts like data binding, implementing various chart types (network graphs, geo-maps, etc.), handling complex transitions, and ensuring responsiveness across modern JavaScript frameworks (React, Vue, Vanilla JS). Learn the standard workflow for scale definition, axis creation, and drawing custom visual elements with fine-grained control.

Claudeception continuously monitors work sessions, looking for reusable insights—debugging tricks, tool integrations, and workflow optimizations—and codifies them into new Claude Code skills so teams retain non-obvious knowledge for future tasks.

Guides Claude Code skill authors through designing and structuring workflow-based skills with numbered phases, decision routing, subagent delegation, and progressive disclosure so multi-step automations remain predictable and auditable.

Offers a reference structure for Claude Code plugin skills, describing triggers, file layouts, and best practices so you can craft new skills quickly and consistently.

This skill provides structured guidance and patterns for performing comprehensive web fuzzing using the powerful command-line tool, ffuf. Web fuzzing is an essential security testing technique used by penetration testers to discover hidden directories, unlinked endpoints, or sensitive files on a web server by systematically brute-forcing potential paths and parameters. Use this skill when you need to audit the security posture of a web application or map out unknown parts of a website.

This skill provides comprehensive tools to monitor the real-time availability, status, and performance of various large language models (LLMs) accessed via OpenRouter. It supports active health probes, catalog checks, and scheduled monitoring via Python and Bash, ensuring robust fault detection and failover logic for production systems that rely on external AI APIs.

Automates scaffolding of new Claude Code plugins within the claude-code-plugins repo, creating directories, plugin.json, READMEs, LICENSE, commands/agents/skills/MCP assets, and marketplace entries before validating schemas and syncing the catalog.

This guide details the standardized directory structure and best practices for building robust and maintainable plugins for Claude Code. It covers critical components including the plugin manifest (plugin.json), commands, agents, skills, and hooks. Use this skill when you need to scaffold a new plugin, understand the required component organization, or configure the plugin's architecture according to best practices.

Blueprint skill describing the architecture, stack, folder layout, API patterns, and testing/deployment workflows used by the Zenith AI customer discovery platform clade. Use it as a reference when working on this dedicated project to understand expectations for frontend, backend, AI integration, and QA.