mac-mini-server
Set up OpenClaw on Mac Mini as always-on AI server — hardware recommendations, macOS config, Docker Desktop, launchd auto-start, Tailscale remote access, and cost comparison vs VPS. Use when deploying OpenClaw on Mac Mini for 24/7 personal AI.
onepassword
1Password Connect — vaults, items, secrets management for server-side applications.
mac-wallpaper-changer
自动更换 Mac 壁纸、壁纸智能推荐与偏好学习。凡涉及壁纸相关操作，都应优先使用此技能：换壁纸、更换桌面背景、 Mac wallpaper、自动换壁纸（cron/定时任务）、按关键词搜索壁纸（如"上海夜景"、"mountain sunset"）、 壁纸评分与喜好统计、壁纸推荐、位置配置。支持 Bing 每日精选 / Unsplash / Picsum 多图源， 支持本地图片、URL 直接设置，兼容 macOS Tahoe（26+）。
lmms-eval-guide
Guides AI coding agents through the lmms-eval codebase - a unified evaluation framework for Large Multimodal Models (LMMs). Use when integrating new models, adding evaluation tasks/benchmarks, running YAML config-driven evaluations, orchestrating non-blocking training-time evaluation via the HTTP eval server, or navigating the evaluation pipeline architecture.
obsidian-to-x
发布内容和文章到 X (Twitter)。支持常规推文(文字/图片/视频)和 X Articles(长文 Markdown)。使用真实 Chrome 浏览器绕过反机器人检测。当用户说"发推"、"发到 X"、"发到 twitter"、"分享到 X"、"分享到 twitter"、"发 tweet"、"同步到 X"、"发布到 X"、提到"X Articles"、想从 Obsidian 笔记发布长文内容、或需要转换 Obsidian Markdown 到 X 格式时使用。适用于所有 X/Twitter 发布任务。
vscode-sftp-config
This skill should be used when setting up SFTP deployment for static websites to production servers, including converting projects from Docker/Express to static hosting, deploying Vue/React/Angular builds, setting up Slidev presentations, or configuring Hugo/Jekyll/Gatsby sites. Use this when the user asks to "setup SFTP deployment", "deploy static site to server", "configure Nginx for static files", "convert from Docker to static hosting", "deploy Vue build to production", "setup subdomain hosting", or "configure SFTP in VS Code". Provides SFTP configuration templates and production-ready Nginx configurations with security headers and caching.
plugin-integration-checker
Check if a skill is part of a plugin and verify its integration with commands and agents. Use after creating or modifying a skill to ensure proper plugin architecture. Triggers on "check plugin integration", "verify skill integration", "is this skill in a plugin", "check command-skill-agent integration", or after skill creation/modification when the skill path contains ".claude-plugins" or "plugins/".
vscode-httpyac-config
Configure VSCode with httpYac for API testing and automation. This skill should be used specifically when converting API documentation to executable .http files (10+ endpoints), setting up authentication flows with pre-request scripts, implementing request chaining with response data, organizing multi-file collections with environment management, or establishing Git-based API testing workflows with CI/CD integration.
mcp-config
Configure MCP (Model Context Protocol) servers for Claude Code. Manage MCP servers at user or project scope with best practices to avoid context pollution.
evaluate-environments
Run and analyze evaluations for verifiers environments using prime eval. Use when asked to smoke-test environments, run benchmark sweeps, resume interrupted evaluations, compare models, inspect sample-level outputs, or produce evaluation summaries suitable for deciding next steps.
optimize-with-environments
Optimize environment system prompts with GEPA through prime gepa run. Use when asked to improve prompt performance without gradient training, compare baseline versus optimized prompts, run GEPA from CLI or TOML configs, or interpret GEPA outputs before deployment.
train-with-environments
Train models with verifiers environments using hosted RL or prime-rl. Use when asked to configure RL runs, tune key hyperparameters, diagnose instability, set up difficulty filtering and oversampling, or create practical train and eval loops for new environments.
browse-environments
Discover and inspect verifiers environments through the Prime ecosystem. Use when asked to find environments on the Hub, compare options, inspect metadata, check action status, pull local copies for inspection, or choose environment starting points before evaluation, training, or migration work.
create-environments
Create or migrate verifiers environments for the Prime Lab ecosystem. Use when asked to build a new environment from scratch, port an eval or benchmark from papers or other libraries, start from an environment on the Hub, or convert existing tasks into a package that exposes load_environment and installs cleanly with prime env install.
review-environments
Review verifiers environments for correctness, robustness, and ecosystem compatibility. Use when asked for environment code review, quality audit, migration validation, or release readiness checks for local environments or environments pulled from the Hub.