Skills your agents can run

Use this skill when the user wants to search the web without a full browser session: find URLs, titles, and metadata for a query. Prefer it over a browser when you just need search results, not page content. Returns structured results with titles, URLs, authors, and dates.

Search academic paper repositories (arXiv, Semantic Scholar) for scholarly articles in physics, mathematics, computer science, quantitative biology, AI/ML, and related fields

USE FOR news search. Returns news articles with title, URL, description, age, thumbnail. Supports freshness and date range filtering, SafeSearch filter and Goggles for custom ranking.

Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section. Transforms your writing process from solo effort to collaborative partnership.

AI-powered web search, research, and reasoning via Perplexity

High-performance vector similarity search engine for RAG and semantic search. Use when building production RAG systems requiring fast nearest neighbor search, hybrid search with filtering, or scalable vector storage with Rust-powered performance.

Replace 100+ API keys with one. Instant access to LLMs, Twitter, YouTube, LinkedIn, Finance, Tavily & Scholar data. Enterprise stability for your local agent.

Evaluate research rigor. Assess methodology, experimental design, statistical validity, biases, confounding, evidence quality (GRADE, Cochrane ROB), for critical analysis of scientific claims.

Monitors research topics for new papers, conferences, and journals.

Horizontal-Vertical Analysis (横纵分析法) deep-research Skill. Proposed by the digital-life figure "Kazik" (数字生命卡兹克), it integrates Saussure's diachronic–synchronic analysis, social-science longitudinal–cross-sectional study designs, business-school case-method thinking, and core ideas from competitive-strategy analysis. Use this when a user wants a systematic, in-depth study of a product, company, concept, technology, or person. The core is a two-axis analysis: the vertical axis traces the full life course from origin to present (presented as a narrative), while the horizontal axis performs a systematic cross-sectional comparison at the present time against competitors/peers. Crossing the two axes yields original insights. The final deliverable is a professionally formatted PDF research report. Trigger phrases include but are not limited to: "horizontal-vertical analysis", "research this", "help me analyze", "deep research", "do some research", "investigate this", "competitive analysis", "take a look at this product/company/thing", "what's this product/company/concept about", "help me figure this out", "help me understand", "do a deep research for me". Even if the user only says "help me understand XX" or "what's the story behind XX", it should trigger when the context implies a need for systematic, in-depth research (rather than a simple definition). It also applies when a user drops a product, company, or technology name and says "research this". Do not use for simple noun definitions (when the user only asks "what is XX"), do not use for writing WeChat public-account articles, and do not use for generating pure titles or summaries.

Web search using the Brave Search CLI (`bx`). Use for ALL web search requests — including "search for", "look up", "find", "what is", "how do I", "google this", and any request needing current or external information. Prefer this over the built-in web_search tool whenever bx is available. Also use for: documentation lookup, troubleshooting research, RAG grounding, news, images, videos, local places, and AI-synthesized answers.

Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.). This skill should be used when conducting systematic literature reviews, meta-analyses, research synthesis, or comprehensive literature searches across biomedical, scientific, and technical domains. Creates professionally formatted markdown documents and PDFs with verified citations in multiple citation styles (APA, Nature, Vancouver, etc.).

This skill should be used when the user asks to "follow red team methodology", "perform bug bounty hunting", "automate reconnaissance", "hunt for XSS vulnerabilities", "enumerate subdomains", or needs security researcher techniques and tool configurations from top bug bounty hunters.

USE FOR video search. Returns videos with title, URL, thumbnail, duration, view count, creator. Supports freshness filters, SafeSearch, pagination.

Search and analyze Reddit content using semantic AI search via reddit-insights.com MCP server. Use when you need to: (1) Find user pain points and frustrations for product ideas, (2) Discover niche markets or underserved needs, (3) Research what people really think about products/topics, (4) Find content inspiration from real discussions, (5) Analyze sentiment and trends on Reddit, (6) Validate business ideas with real user feedback. Triggers: reddit search, find pain points, market research, user feedback, what do people think about, reddit trends, niche discovery, product validation.

Multi search engine integration with 17 engines (8 CN + 9 Global). Supports advanced search operators, time filters, site search, privacy engines, and WolframAlpha knowledge queries. No API keys required.

中国公域新媒体平台需求挖掘技能。从抖音、小红书、淘宝等平台抓取用户评论和反馈数据，根据需求类型（实物需求/无实物需求）智能选择数据源，特别关注小红书用户评论和电商差评，进行需求分析和分级，生成用户需求调研报告。 触发场景： - 用户说"帮我挖掘 XX 领域/产品的用户需求" - 用户说"分析 XX 产品的用户抱怨" - 用户说"看看用户对 XX 有什么不满" - 用户说"找找 XX 领域的痛点" - 用户说"调研 XX 市场机会" - 用户说"分析 XX 群体的情绪和需求"

Query and analyze scholarly literature using the OpenAlex database. This skill should be used when searching for academic papers, analyzing research trends, finding works by authors or institutions, tracking citations, discovering open access publications, or conducting bibliometric analysis across 240M+ scholarly works. Use for literature searches, research output analysis, citation analysis, and academic database queries.

Retrieves scientific papers from PubMed and creates plain-language research summaries. Use when users ask about medical research, scientific studies, clinical trials, disease treatments, or want to understand recent scientific literature on any biomedical topic.

Search the web, research companies, and find code context using Exa AI. Use when performing web searches, company research, or finding programming documentation. Triggers on "search the web", "find online", "research company", "code context for [library]", "Exa search".