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Found 61 Skills
Deep research and analysis tool. Generates comprehensive HTML reports on any topic, domain, paper, or technology. Use when user asks to research, analyze, investigate, deep-dive, or generate a report on any subject. Supports academic papers (arXiv), technologies, trends, comparisons, and general topics.
A qualitative research assistant tool based on Braun & Clarke's Reflexive Thematic Analysis framework. Supports two input modes: (1) Provide raw interview text directly → The skill completes initial TA coding for each document, then proceeds to theme identification after summarization; (2) Provide existing initial coding pool → Directly enter the process of clustering, review, and naming suggestions. Outputs a structured candidate theme table, clearly marking codes with ambiguous boundaries and naming suggestions to be decided by researchers. This skill is triggered when users mention terms such as "thematic analysis", "theme coding", "help me cluster codes", "extract themes from codes", "Braun Clarke", "candidate themes", "how to categorize these codes into themes", "help me check the theme structure", "conduct thematic analysis on interviews". Note the difference from grounded-coding: grounded-coding focuses on category construction and theoretical relationships for procedural grounded theory; thematic-analysis focuses on semantic theme identification following the Braun & Clarke approach, outputting theme structures rather than theoretical propositions.
One industry → One ecological terrain map card (PNG). Built on the reference frame theory from *A Thousand Brains*: Lay out an industry as an overlookable 'ecological terrain' — value flows through the landscape like a river, then mark two spots on the terrain: 'Bottlenecks' (narrow passes/dams where flow/capacity constricts) and 'Value Capture Points' (treasure piles where profits accumulate). The terrain reveals power structures at a glance: Places that control flow are often not where money accumulates. Includes base rates (scales) for three key indicators + three 'Big Questions' (frontier topics). Powered by deep real-network research, maps are AI-generated (default -a Animal Crossing warm cute style, optional -c pixel+cyber style), with Jigang Ji standing on the terrain overlooking. Use when user says '行业地图', '产业地图', '生态地形图', '画一下这个行业', 'industry map', 'map this industry', '行业版图', '产业链地图', '/ljg-map', or provides an industry/domain name wanting its terrain mapped. Style: Default -a Animal Crossing, add -c for cyber style. NOT FOR: Ranked search for generators in a domain (use ljg-rank), book dissection (use ljg-book), individual project investment analysis (use ljg-invest), deep dive into a single concept (use ljg-think).
This skill should be used when user asks to "search for papers", "find research papers", "search arXiv", "search PubMed", "find academic papers", "search IEEE", "search Scopus", or "look up scientific literature".
Download paper PDFs from arXiv, extract text and images, and generate detailed paper interpretation notes embedded with original images in the Obsidian vault (similar to AlphaXiv blog style)
General-purpose web search using DuckDuckGo and AI-synthesized search engines. Use this skill for web searches, current information, fact-checking, news, and research on any topic where live internet data is needed. Supports all languages. Three modes: fast web results, AI-synthesized answers (IAsk.ai, great for deep questions and academic research), and Monica AI synthesis. Trigger on: "search for", "look up", "find information about", "what is the latest", "search the web", "find out about", "what happened with", "current status of", "recent news", "is X still true", "查一下", "搜索", "查资料", "上网查", "検索して", "調べて", any question requiring real-time or post-training web data. Do NOT trigger for: code exploration, local file analysis, codebase-internal questions, or well-established facts fully covered by training knowledge. Note: if the `agent-reach` skill is also available, prefer `ddg-search` for pure web search tasks; prefer `agent-reach` when the task involves social platforms (Twitter, Reddit, YouTube, WeChat, Bilibili, etc.) or platform-specific APIs.
For identifying the main theme of the A-share market, focusing on market structure / theme cycle / capital behavior. This Skill is mainly applicable to scenarios such as answering user questions, writing reports, and creating financial articles. This report generates a large amount of content and is not suitable for simple conversation scenarios. To obtain various information and data, you can use the wind.financial.data tool with appropriate keywords or keyword combinations. After the market opens, at midday, and after the market closes every day, users need to quickly know: what the market is actually trading today, what the real main theme is, where the market sentiment stands, and which areas to focus on tomorrow.
Web search, content extraction, crawling, and research capabilities using Tavily API
Conduct exhaustive, citation-rich research on any topic using all available tools: web search, browser automation, documentation APIs, and codebase exploration. Use when asked to "research X", "find out about Y", "investigate Z", "deep dive into...", "what's the current state of...", "compare options for...", "fact-check this...", or any request requiring comprehensive, accurate information from multiple sources. Prioritizes accuracy over speed, cross-references claims across sources, identifies conflicts, and provides full citations. Outputs structured findings with confidence levels and source quality assessments.
Deep research with cross-verification and source tiering. Use when investigating technologies, comparing tools, fact-checking claims, evaluating architectures, or any task requiring verified information. Triggers on "조사해줘", "리서치", "research", "investigate", "fact-check", "비교 분석", "검증해줘".
Query, browse, and analyze Spanish legislation stored as Markdown files with full Git history in the legalize-es repository.
ONLY use when user explicitly says 'deep research', 'exhaustive', 'comprehensive report', or 'thorough investigation'. Slower and more expensive than parallel-web-search. For normal research/lookup requests, use parallel-web-search instead.