Loading...
Loading...
Found 75 Skills
MemPalace — mine projects and conversations into a searchable memory palace. Use when asked about mempalace, memory palace, mining memories, searching memories, or palace setup.
Guide for planning and auditing SEO for AI tool, SaaS, and product-led websites. Powered by AnyCap -- the capability runtime that equips AI agents with web search and web crawl through a single CLI. Use when Codex needs to define SEO ICPs, map search intent to page types, inspect live SERPs, write page briefs for tool/comparison/alternatives/pricing/tutorial pages, prioritize technical SEO foundations, plan citations or backlinks, or decide whether programmatic SEO is safe and worthwhile. Trigger on mentions of AI tool SEO, SaaS SEO, product-led SEO, search intent, page type mapping, vs pages, alternatives pages, pricing pages, directory submissions, backlink plans, citations, or pSEO.
Invoke this skill when the user asks how to USE the 10x-cli day-to-day — fetching lessons, listing modules, switching AI tools, troubleshooting errors, understanding where artifacts land, or working on a specific OS (Windows, Linux, macOS). Covers commands (get, list, doctor, auth --status/--logout), tool profiles, artifact locations, common errors, and platform-specific tips. Excludes: first-time installation and onboarding (use 10x-cli-setup instead), developing or contributing to 10x-cli source code, and general programming help.
ALWAYS invoke this skill when the user mentions 10x-cli, @przeprogramowani/10x-cli, the 10xDevs CLI, or the 10xDevs course environment in a setup context. This skill fetches the live README — Claude does not know 10x-cli's current install steps without it. Applies to: installing, updating, reconfiguring for different AI tools (Cursor, Copilot, Claude Code), permission/npm errors, authentication, and onboarding after 10xDevs enrollment. Excludes: developing 10x-cli source code, contributing to the repo, building similar CLIs, or general project setup.
Run Claude Code CLI, VS Code, or JetBrains ACP through a local proxy that routes to NVIDIA NIM, Kimi, OpenRouter, DeepSeek, or local LLMs
Curated list of Claude Skills, resources, and tools for customizing Claude AI workflows and agentic coding
AntiGravity Image Generation Guide. Loaded when saying "generate image", "draw", or "create image".
MCP (Model Context Protocol) server build and evaluation guide, including local conventions for tool surfaces, config, and testing
OpenAI Privacy Filter — bidirectional token-classification model for PII detection and masking in text
Install, configure, and start FireRed-OpenStoryline from source on a local machine. Use when a user asks to set up OpenStoryline, troubleshoot installation, download required resources, fill config.toml API keys, or launch the MCP and web services, as well as Chinese requests like “安装 OpenStoryline”, “配置 OpenStoryline”, “启动 OpenStoryline”, “把 OpenStoryline 跑起来”, “修复 OpenStoryline 安装问题”, or “排查 OpenStoryline 启动失败”.
Create Claude Code custom slash commands with proper structure, frontmatter, and best practices. Use this skill whenever the user wants to create a new command, add a slash command, build a custom command, or mentions "create-command", "new command", "add command", or "make a command" for Claude Code. Also trigger when the user wants to turn a workflow into a reusable command.
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.