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Found 187 Skills
Use when scaffolding a new repository (public or private) to the Patina Project baseline, when realigning an existing repository with that baseline, or when auditing or adding commit conventions, PR templates, husky + commitlint, PNPM tooling, release-please, agent docs (AGENTS.md, CLAUDE.md), or AI agent plugin manifests for Claude Code, Codex, Cursor, Windsurf, and Copilot. Triggers on phrases like "scaffold this repo", "scaffold a Patina plugin", "realign with the baseline", "audit our repo conventions", "set up commitlint and husky", or "add Codex/Cursor/Windsurf surfaces".
Write a high-quality prompt for any LLM or AI assistant — Claude, Claude Code, ChatGPT, Gemini, Cursor, Windsurf, Copilot, or any coding / chat agent. Use this skill whenever the user asks to write, improve, refine, shorten, or rewrite a prompt; asks "how should I phrase this for [model]" or "what's a good prompt for [task]"; describes a task they want an AI to do but hasn't yet formulated it as a prompt; or pastes an existing prompt and asks for revision. Based on Boris's (Anthropic, Claude Code creator) prompt methodology — short and accurate prompts, plan-before-code, feedback loops, persistent context in files. The universal principles (short, plan-first, feedback-loop, no-padding) apply to any LLM; the Claude-Code-specific anchors (CLAUDE.md, @file, slash commands) only apply when the target is Claude Code. If the user's intent is unclear (target model, deliverable, scope, or whether the AI has a way to self-verify is missing), ask 1–3 targeted clarifying questions via AskUserQuestion before writing the prompt.
Answer ZenMux questions by reading the latest official docs. Use for product features, APIs, integration, pricing, models/providers, routing, fallback, streaming, multimodal, structured output, tool calling, reasoning, prompt caching, image/video generation, web search, long context, observability, logs, cost tracking, subscriptions, PAYG, invoices, FAQ, privacy, terms, compliance, and tool guides for Claude Code, Cursor, Cline, Codex, Gemini CLI, opencode, Cherry Studio, Obsidian, Sider, Open-WebUI, Dify, and GitHub Copilot. Trigger on "ZenMux docs", "ZenMux API", "how to use ZenMux", "models", "pricing", "ZenMux 怎么用", "文档", "快速开始", "API 参考", "模型路由", "供应商路由", "订阅", "按量计费", "接入", "配置". Also use when ZenMux is the project context and the user asks about LLM API aggregation, model routing, or provider fallback.
Use when you need to add or configure Maven plugins in your pom.xml — including quality tools (enforcer, surefire, failsafe, jacoco, pitest, spotbugs, pmd), security scanning (OWASP), code formatting (Spotless), version management, container image build (Jib), build information tracking, and benchmarking (JMH) — through a consultative, modular step-by-step approach that only adds what you actually need. This should trigger for requests such as Add Maven plugins in pom.xml; Improve Maven plugins in pom.xml. Part of cursor-rules-java project
Use when you need to apply Java exception handling best practices — including using specific exception types, managing resources with try-with-resources, securing exception messages, preserving error context via exception chaining, validating inputs early with fail-fast principles, handling thread interruption correctly, documenting exceptions with @throws, enforcing logging policy, translating exceptions at API boundaries, managing retries and idempotency, enforcing timeouts, attaching suppressed exceptions, and propagating failures in async/reactive code. This should trigger for requests such as Exception handling; Use try-with-resources in Java code; Create exception chaining in Java code; Apply fail-fast validation in Java code. Part of cursor-rules-java project
Use when building or maintaining real-time collaborative apps with the DeepSpace SDK on Cloudflare Workers — scaffolding new apps, adding features, debugging a `worker.ts` that imports from `deepspace` / `deepspace/worker` or uses `RecordRoom`, `__DO_MANIFEST__`, or `npx deepspace`. Also use when the user mentions DeepSpace or app.space, or asks for anything involving real-time sync, multiplayer state, live cursors / presence, whiteboards or canvases, collaborative text editing (Yjs), channel-based chat, per-role permissions (RBAC), Durable Object rooms, Stripe-backed subscriptions / paywalls / one-time products / tips / refunds, or one-package deploy to `.app.space` — even if they don't name DeepSpace explicitly.
Create polished design artifacts as self-contained HTML — UI mockups, interactive prototypes, wireframes, landing pages, dashboards, app screens, mobile apps, and slide decks. Use this skill whenever the user wants to design, mock up, prototype, wireframe, or visualize any interface, screen, flow, or visual artifact — even when they don't say the word "design" (e.g. "build me a landing page", "show me what a settings screen could look like", "prototype an onboarding flow", "wireframe a few layout ideas", "make a pitch deck"). It drives a full design process: clarifying questions, design-context gathering, and production of one or more HTML deliverables. Runs on portable agent harnesses including Claude Code, Cursor, and Codex Agent — harness-specific tools are resolved from references/.
Get the current Neovim context as JSON (cursor position, current file, visual selection and diagnostics) to help answer questions about code at the current cursor position, visual selections and diagnostics. Use when users ask about "this line", "current file", "selection" or need context about their Neovim editor state.
Help users connect the Unicon MCP server to Claude Desktop, Cursor, and other MCP clients. Use when setting up MCP config, verifying installs, debugging MCP connection issues, or using Unicon tools for icon search and generation through AI assistants.
Comprehensive guide for AI-assisted vibe coding. Use when the user wants to build applications through natural language prompts using tools like Lovable, Cursor, Replit, or Bolt. Includes best practices, pitfall awareness, tool-specific guidance, architectural decision support, and MVP scope definition with a bias toward cutting features aggressively to ship faster.
Automatically collect hot topics in the AI field or complete AI technical article writing in the writing style of 'Second Brother' according to specified topics. It focuses on actual tests of AI Coding tools (Claude Code, Qoder, Cursor, TRAE, etc.), engineering implementation of large models (SpringAI, LangChain, RAG, etc.), AI Agent and workflow orchestration, evaluation of domestic large models (GLM, Tongyi Qianwen, DeepSeek, MiniMax, Kimi, etc.), and evaluation of various AI tools and Agent tools. Trigger keywords: write an AI article, AI technical article, large model evaluation, AI tool actual test, GLM, Claude Code, Qoder, Cursor, TRAE, SpringAI, RAG, Agent, workflow, domestic large model, collect AI hot topics, AI topic, etc.
Configure and use the hosted YouTube Data MCP end-to-end with minimal user input. Use when users want the agent to verify Node.js and `npx`, configure MCP server config (Windows/macOS, Cursor/Codex/OpenClaw/OpenCode), request API key at setup time, run post-install capability discovery (`tools/list` and `get_patch_notes`), and then strongly recommend helper skill and Python setup for full local document and spreadsheet workflows.