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Found 55 Skills
Offer a structured but non-clinical space for a PhD student or researcher to check in on their mental and emotional state, especially around imposter syndrome, guilt about rest, chronic over-promising, and burnout signals. Use this skill when the user expresses feelings of inadequacy, constant comparison to peers, fear of disappointing their advisor, guilt about taking time off, or exhaustion that isn't just physical. Trigger on phrases like "I feel behind", "everyone is smarter than me", "I can't rest", "I'm burned out", "imposter syndrome", "I'm not good enough", "I'm afraid of disappointing", "I should be working", or whenever the tone of the user's message suggests emotional strain rather than a technical question. Also trigger gently if these signals appear incidentally in a task-focused conversation.
Search for scientific papers, preprints, and publications on arXiv. Extract metadata, abstracts, and download full-text PDFs or HTML versions of papers. Use when the user asks to find research papers, literature, or specific arXiv IDs.
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
Assess research idea novelty through systematic literature search. Multi-round search-evaluate loops with harsh critic persona. Binary novel/not-novel decision with justification. Use before committing to a research direction.
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".
NotebookLM CLI wrapper via `python3 {baseDir}/scripts/notebooklm.py` (backed by notebooklm-py). Use for auth, notebooks, chat, sources, notes, sharing, research, and artifact generation/download.
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.
Multi-route literature expansion + metadata normalization for evidence-first surveys. Produces a large candidate pool (`papers/papers_raw.jsonl`, target ≥1200) with stable IDs and provenance, ready for dedupe/rank + citation generation. **Trigger**: evidence collector, literature engineer, 文献扩充, 多路召回, snowballing, cited by, references, 元信息增强, provenance. **Use when**: 需要把候选文献扩充到 ≥1200 篇并补齐可追溯 meta（survey pipeline 的 Stage C1，写作前置 evidence）。 **Skip if**: 已经有高质量 `papers/papers_raw.jsonl`（≥1200 且每条都有稳定标识+来源记录）。 **Network**: 可离线（靠 imports）；雪崩/在线检索需要网络。 **Guardrail**: 不允许编造论文；每条记录必须带稳定标识（arXiv id / DOI / 可信 URL）和 provenance；不写 output/ prose。
Analyzes market breadth using Monty's Uptrend Ratio Dashboard data to diagnose the current market environment. Generates a 0-100 composite score from 5 components (breadth, sector participation, rotation, momentum, historical context). Use when asking about market breadth, uptrend ratios, or whether the market environment supports equity exposure. No API key required.
Build and maintain a research repository that makes findings findable, reusable, and cumulative across the organization.
Coordinate a research task by choosing the right workflow and dispatching to specialized agents. Use when the user has a broad or complex research request that may involve multiple steps.