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Found 304 Skills
Generate shareable paper summaries for Discord/Slack/Twitter. Use when user provides arxiv paper(s) and wants a digestible summary to share. Triggers on phrases like "논문 요약", "paper summary", "share this paper", "디스코드에 공유", "summarize for sharing". Produces insight-centered single-paragraph summaries that explain WHY research matters, not just WHAT it does.
A Yahoo Finance (yfinance) powered financial analysis tool. Get real-time quotes, generate high-resolution charts with moving averages + indicators (RSI/MACD/Bollinger/VWAP/ATR), summarize fundamentals, and run a one-shot report that outputs both a text summary and a Pro chart.
Run a daily content digest pipeline that fetches Podcast RSS feeds and YouTube channels, transcribes audio, generates AI summaries in Traditional Chinese, and optionally sends notifications via Telegram. Use this skill whenever the user wants to: set up or run a daily digest, summarize podcasts or YouTube videos, create a content briefing, aggregate RSS/YouTube content, or build an automated summary system. Also triggers for: "daily digest", "每日摘要", "podcast 摘要", "YouTube 整理", "跑摘要", "內容彙整", "幫我整理今天的 podcast", "summarize my subscriptions", or any request to periodically collect and summarize media content. Even if the user just says "digest" or "摘要", check if this skill applies.
Multimodal UI understanding and single-step planning via OpenAI-compatible Responses APIs. Use when you need AIQuery/AIAssert and plan-next to extract UI element coordinates, validate UI assertions, summarize screenshots, or decide the next UI action from an image. External agents handle execution via adb/hdc and multi-step loops. Defaults to Doubao models but can be pointed at other multimodal providers via base URL, API key, and model name.
Generate concise initiative summaries from One Horizon initiative data. Use when asked "summarize these initiatives", "give me initiative status", or "prepare initiative update notes". Requires One Horizon MCP.
Query, summarize, export, create, and edit a user's flomo memos through local desktop auth and the flomo API, without Chrome UI automation. Use when the user wants fast memo lookup, tag filtering, markdown export, lightweight memo creation, or direct text edits to existing memos.
Implement text summarization using extractive and abstractive approaches. Use this skill when the user needs to condense long documents, build an automatic summarization pipeline, or compare summarization strategies — even if they say 'summarize this document', 'TLDR', or 'key points extraction'.
Extract frames from video files using ffmpeg for AI/LLM analysis. Use when (1) the user asks to analyze, describe, or summarize a video file, (2) the user wants to extract frames or screenshots from a video, (3) the user provides a video file (.mp4, .mov, .avi, .mkv, .webm, etc.) and asks questions about its visual content, (4) the user wants to identify scenes, objects, or events in a video, (5) the user wants timestamps overlaid on extracted frames for temporal reference. Converts video into JPEG frames that can be attached to LLM prompts as images. Requires ffmpeg on PATH. Supports scene-change detection, model-aware optimization (Claude/OpenAI/Gemini), quality presets (efficient/balanced/detailed/ocr), grayscale and high-contrast OCR mode, and automatic FPS calculation via --max-frames.
Video Transcript Extraction Expert (based on Doubao Video Understanding Model). Supports links from Bilibili, Douyin, Xiaohongshu, YouTube, or local video files. Runs entirely in the background (headless) on the user's computer, no pop-ups, no requirement to log in to video platforms. Outputs strict verbatim transcripts with "semantic segmentation + paragraph-level timestamps" (retains colloquial words, internet memes, pauses). Long videos are automatically segmented to avoid being summarized by the model. Trigger scenarios: - User says "generate transcript", "extract transcript", "convert to text", "video to text" - User says "dictate video", "extract video copy", "video subtitles" - User uses the /video-transcript command - User pastes a video link (Bilibili/Douyin/Xiaohongshu/YouTube) with the intention of getting a text version
Slack workspace CLI for the terminal. Send messages, search channels and DMs, list conversations, get user/bot/emoji info, analyze channel health, find stale threads, and sync the workspace locally for fast offline queries. Two auth surfaces coexist: SLACK_BOT_TOKEN (xoxb-, for workspace-wide read + post) and SLACK_USER_TOKEN (xoxp-, for user-scoped actions like DM history or search). Use when the user asks to send a Slack message, search Slack, check channel activity, summarize a digest, find who's on a team, find stale threads, analyze channel health, list users / emoji / reminders / pinned items, or wants offline-capable Slack queries.
Representative MoE training playbooks by hardware platform and model family. Summarizes rounded throughput bands, parallelism patterns, and common tuning stacks.
Operate the Teams meeting summary pipeline via Hermes CLI — summarize meetings, inspect pipeline status, replay jobs, manage Microsoft Graph subscriptions.