Total 30,743 skills, AI & Machine Learning has 4963 skills
Showing 12 of 4963 skills
Create professional PowerPoint presentations from various sources including web articles, blog posts, and existing PPTX files. Use when creating PPTX, converting articles to slides, or translating presentations.
Expert skill for implementing wake word detection with openWakeWord. Covers audio monitoring, keyword spotting, privacy protection, and efficient always-listening systems for JARVIS voice assistant.
Enable and configure Moltbot/Clawdbot memory search for persistent context. Use when setting up memory, fixing "goldfish brain," or helping users configure memorySearch in their config. Covers MEMORY.md, daily logs, and vector search setup.
Interactive session to craft a system prompt for an AI agent powered by Sanity Agent Context MCP.
Authors and structures professional-grade agent skills following the agentskills.io spec. Use when creating new skill directories, drafting procedural instructions, or optimizing metadata for discoverability. Don't use for general documentation, non-agentic library code, or README files.
This skill should be used when the user asks to "wrap up session", "end session", "session wrap", "/wrap", "document learnings", "what should I commit", or wants to analyze completed work before ending a coding session.
This skill should be used when user wants to access, capture, or reference Claude Code session history. Trigger when user says "capture session", "save session history", or references past/current conversation as a source - whether for saving, extracting, summarizing, or reviewing. This includes any mention of "what we discussed", "today's work", "session history", or when user treats the conversation itself as source material (e.g., "from our conversation").
This skill should be used when the user asks to "팀 구성해줘", "team assemble", "전문가 팀으로 해줘", "팀으로 해줘", "swarm", "병렬로 전문가 팀", or wants to decompose a complex task into specialist roles executed via TeamCreate. Also triggers when user describes a task clearly benefiting from parallel expert execution.
This skill should be used when the user asks to "콘텐츠 정리", "아티클 요약", "PDF 학습", "영상 정리", "트윗 정리", "digest", "summarize", "정리해줘", or provides a YouTube URL, X/Twitter URL (x.com, twitter.com), webpage URL, or PDF file for analysis. Supports YouTube (transcript), X/Twitter (via fetch-tweet skill), webpage (full content via browser), and PDF (text + image per page). Generates Quiz-First learning with 9 questions across 3 difficulty levels.
INVOKE THIS SKILL when working with LangSmith tracing OR querying traces. Covers adding tracing to applications and querying/exporting trace data. Uses the langsmith CLI tool.
Use this skill when writing code that calls the Gemini API for text generation, multi-turn chat, multimodal understanding, image generation, streaming responses, background research tasks, function calling, structured output, or migrating from the old generateContent API. This skill covers the Interactions API, the recommended way to use Gemini models and agents in Python and TypeScript.
RFC-driven multi-agent DAG execution pattern with quality gates, merge queues, and work unit orchestration.