Loading...
Loading...
Found 12,741 Skills
Write and rewrite marketing copy for landing pages, homepages, and ads. Useful as a copy chief partner during launches.
Apply psychological principles and behavioral science to copy and design. Useful for tightening hooks, framing, and pricing presentation.
Read, create, and edit .docx documents with formatting and layout fidelity via OpenAI's document skill.
Improve prompts with design specs and UI/UX vocabulary. Useful for design-to-code workflows and clarifying requests for visual output.
/cs:brief <topic> — Generate a one-page strategy brief from an office-hours intake. First step in the strategic sprint pipeline.
[QianWen] Generate text, have conversations, write code, reason, and call functions with Qwen models. TRIGGER when: user asks to chat with Qwen, generate text, write code with Qwen, use Qwen function calling, or explicitly invokes this skill by name (e.g. use qianwen-text). DO NOT TRIGGER when: general coding questions without Qwen, non-Qwen AI model usage (OpenAI, Gemini, etc.), image/video understanding (use qianwen-vision), image/video/audio generation.
Create animated GIFs optimized for Slack with validators for size constraints and composable animation primitives.
Multi-source recency research skill that takes the pulse of any topic across Reddit, Hacker News, the open web, and optionally X/Twitter within a configurable recent window (default 30 days). Forcing intake clarifies topic specificity, angle (trend/sentiment/problems/opportunities/comparison), time window, and platform scope before searching. Returns a synthesized briefing with citations, engagement metrics, and cross-platform pattern analysis. Triggers: 'pulse on [topic]', 'what's happening with [topic]', 'what are people saying about [topic]', 'current conversation about [topic]', 'take the pulse of [topic]', 'trending: [topic]', 'find me info on [topic]', or any variation requesting multi-source recency intelligence on a topic. Also use for competitor research, trend discovery, tool comparisons, and audience sentiment analysis.
Lightweight CLI for interacting with MCP (Model Context Protocol) servers - discover, inspect, and execute MCP tools from the command line
Summarize a video by calling the VLM NIM or the Long Video Summarization (LVS) microservice directly. For short videos (under 60s) call the VLM's OpenAI-compatible chat completions endpoint; for long videos (60s or longer) call the LVS microservice. Use when asked to summarize a video, describe what happens in a video, analyze a recording, call or debug LVS summarize/model/health/recommended-config/metrics endpoints, or configure and troubleshoot the LVS service that backs long-video summarization.
Every Tesla mobile-app feature, plus a charging-cost ledger and supercharger queue watcher no other Tesla CLI ships. Trigger phrases: `is my tesla ready`, `precondition my tesla`, `how much did i spend on charging this month`, `supercharger queue at`, `send this address to my tesla`, `list my tesla keys`, `use tesla`, `run tesla`.
Dynamic MCP server discovery and code-mode execution via central registry. Use for multiple MCP integrations, tool discovery, progressive disclosure, or encountering MCP context bloat, changing server sets, large tool sets.