Search and retrieve markdown documents from local knowledge bases using qmd. Supports BM25 keyword search, vector semantic search, and hybrid search with LLM re-ranking. Use for querying indexed notes, documentation, meeting transcripts, and any markdown-based knowledge. Requires qmd CLI installed (bun install -g https://github.com/tobi/qmd).
Search the web using SearXNG. Use when you need current information, research topics, find documentation, verify facts, or look up anything beyond your knowledge. Returns ranked results with titles, URLs, and content snippets.
AI-optimized web search using Tavily Search API. Use when you need comprehensive web research, current events lookup, domain-specific search, or AI-generated answer summaries. Tavily is optimized for LLM consumption with clean structured results, answer generation, and raw content extraction. Best for research tasks, news queries, fact-checking, and gathering authoritative sources.
Monitor topics of interest and proactively alert when important developments occur. Use when user wants automated monitoring of specific subjects (e.g., product releases, price changes, news topics, technology updates). Supports scheduled web searches, AI-powered importance scoring, smart alerts vs weekly digests, and memory-aware contextual summaries.
Unified search skill with Intelligent Auto-Routing. Uses multi-signal analysis to automatically select between Serper (Google), Tavily (Research), and Exa (Neural) with confidence scoring.
Deep search via Perplexity API. Three modes: search (quick facts), reason (complex analysis), research (in-depth reports). Returns AI-grounded answers with citations.
Use Perplexity API for web-grounded AI search and research. Use when user needs up-to-date information, multi-step reasoning with web citations, exhaustive research with source references, factual queries with current events, or competitive analysis. Default when user mentions Perplexity, needs current information, or requires source citations.
Use Perplexity API for web-grounded AI search and research. Use when user needs up-to-date information, multi-step reasoning with web citations, exhaustive research with source references, factual queries with current events, or competitive analysis. Default when user mentions Perplexity, needs current information, or requires source citations.
Search the web with AI-powered answers via Perplexity API. Returns grounded responses with citations. Supports batch queries.
RSS news aggregator. Fetches headlines from curated feeds across three categories: news, games, and finance. Use when the user asks about current news, headlines, what's happening, what's going on, or says "what's up in news", "what's up in finance", "what's up in games", or the German equivalents "was geht mit nachrichten", "was geht mit money", "was geht mit gaming". Also activates for requests like "give me a news rundown", "latest headlines", "market news", "gaming news", "tech news", "finance roundup", or "briefing". Returns structured JSON from public RSS feeds — no API keys, no web search needed.
Lookup detailed content ratings for movies and TV shows (sex/nudity, violence/gore, language) from Kids-In-Mind.
Search Reddit in real time using OpenAI web_search with enrichment (engagement + top comments). Use when you need recent Reddit threads, subreddit-filtered results, or quick link lists.
Search and summarize papers from ArXiv. Use when the user asks for the latest research, specific topics on ArXiv, or a daily summary of AI papers.
Fetch and send Hacker News front-page posts on demand. Use when the user asks for HN, says 'hn', 'pull HN', 'hn 10', or specifies a topic like 'hn health', 'hn hacking', or 'hn tech'. Sends N (default 5) posts as individual messages with Title + Link. Exclude crypto.
Search the web or X/Twitter using xAI Grok server-side tools (web_search, x_search) via the xAI Responses API. Use when you need tweets/threads/users from X, want Grok as an alternative to Brave, or you need structured JSON + citations.
Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.
