Loading...
Loading...
Found 27 Skills
Summarize or extract text/transcripts from URLs, podcasts, and local files (great fallback for “transcribe this YouTube/video”).
Automatically summarize the daily top news from multiple news websites using browser automation to access and read news content. Applicable for tasks such as user requests like "Summarize today's news", "Get today's top news", "Generate news summary"; or user questions like "What are the important news today?" and "Help me check today's headlines on news websites". Supports Chinese news websites (Sina, NetEase, Tencent, etc.) and international news websites (BBC, Reuters, etc.), generating detailed summary reports in Markdown format.
AI-powered search that aggregates and summarizes results from multiple sources including web, X/Twitter, Reddit, Hacker News, YouTube, ArXiv, and Wikipedia. Use this when you need a synthesized answer or curated links from across the internet and social platforms.
Comprehensive research assistant that synthesizes information from multiple sources with citations. Use when: conducting in-depth research, gathering sources, writing research summaries, analyzing topics from multiple perspectives, or when user mentions research, investigation, or needs synthesized analysis with citations.
Fetch a URL or convert a local file (PDF/DOCX/HTML/etc.) into Markdown using `uvx markitdown`, optionally it can summarize
Create new narrative summaries from content. Formats: 3-part story, n-length with inline links, abridged 5-line, or comprehensive. Uses UltraThink for creative framing. USE WHEN: "explain as a story", "narrative summary", "story-format explanation". NOT for editing existing text — use humaniser to remove AI patterns from written text.
Process Word documents, support reading, analyzing, summarizing and converting docx files
Aggregates and summarizes recent updates from a predefined list of RSS feeds. Use when the user asks for "recent updates", "what's new", or "RSS updates" within a specific timeframe.
Use when content must be translated between audiences with different expertise, context, or goals while preserving accuracy but adapting presentation. Invoke when technical content needs business framing (engineering decisions → executive summary), strategic vision needs tactical translation (board presentation → team OKRs), expert knowledge needs simplification (academic paper → blog post, medical diagnosis → patient explanation), formal content needs casual tone (annual report → social media post), long-form needs summarization (50-page doc → 1-page brief), internal content needs external framing (roadmap → public updates, bug tracking → known issues), cross-cultural adaptation (US idioms → international clarity, Gen Z → Boomer messaging), medium shifts (written report → presentation script, detailed spec → action checklist), or when user mentions "explain to", "reframe for", "translate this for [audience]", "make this more [accessible/formal/technical]", "adapt for [executives/engineers/customers]", "simplify without losing accuracy", or "same content, different audience". Apply to technical communication (code → business value), organizational translation (strategy → execution), education (expert → novice), customer communication (internal → external), cross-cultural messaging, and anywhere same core message needs different presentation for different stakeholders while maintaining correctness.
Process YouTube videos into summarized Obsidian notes. Use when given a YouTube URL to summarize, extract insights, or turn videos into notes. Triggers on "summarize this video", "process this YouTube", "what's this video about", or any YouTube URL shared for processing.
Article Summary, TL;DR, Link Reading. When users express an intention to summarize, or only paste a URL/Markdown full text, extract the readable content and output a Traditional Chinese summary according to the rules.
Agentic RSS digest using the feed CLI. Fetch, triage, and summarize RSS feeds to surface high-signal posts. Use when: (1) reading RSS feeds or catching up on news, (2) user asks for a digest, roundup, or summary of recent posts, (3) user asks what's new or interesting today, (4) user mentions feed, RSS, or blogs.