搜索结果
全部能力
找到 806 个相关结果 / 前端体验
研究学习 / 检索整理
docs-page-generator
docs-page-generator
When the user wants to create, optimize, or structure a documentation site. Also use when the user mentions "docs," "documentation site," "docs subdomain,"…
研究学习 / 检索整理
rag-engineer
rag-engineer
Expert in building Retrieval-Augmented Generation systems. Masters
研究学习 / 检索整理
浏览器截图
browser-screenshot
从网页截取聚焦的特定区域截图。根据用户上下文(URL、搜索查询、社交媒体帖子)导航至正确的页面,定位……
研究学习 / 检索整理
taiwan-equity-research-coverage
taiwan-equity-research-coverage
Structured equity research database for 1,735 Taiwan-listed companies with wikilink knowledge graph, supply chain mapping, and financial data tools.
研究学习 / 检索整理
网络搜索
web-search
使用代理内置的 WebSearch 工具搜索网络。适用于需要查找当前信息、核实事实或研究主题的场景。无需 API 密钥。…
研究学习 / 检索整理
grepai-search-basics
grepai-search-basics
Basic semantic code search with GrepAI. Use this skill to learn fundamental search commands and concepts.
研究学习 / 检索整理
instagram-research
instagram-research
使用 Apify 的 Instagram Scraper 研究追踪账号的高表现 Instagram 内容(帖子和 Reels)。识别异常值内容,用 AI 分析前 5 个视频,并生成包含可执行钩子公式的报告。适用于以下场景:- 发现特定领域的热门 Instagram 内容 - 研究 Instagram 上的高表现内容 - 识别高表现 Reel 模式 - 分析竞争对手的 Instagram 内容 - 从 Instagram 趋势生成内容创意 - 运行 Instagram 研究 - 发现病毒式 Reels - 分析钩子和内容结构 触发词:"instagram research"、"ig research"、"find trending reels"、"analyze instagram accounts"、"what's working on instagram"、"content research instagram"、"reel analysis"、"instagram trends"
研究学习 / 检索整理
technical-writer
technical-writer
Write comprehensive technical documentation including user guides, how-to articles, system architecture docs, onboarding materials, and knowledge base…
研究学习 / 检索整理
search-memory
search-memory
Search your personal knowledge base when past insights would improve response. Recognize when stored breakthroughs, decisions, or solutions are relevant.…
研究学习 / 检索整理
earnings-preview-single
earnings-preview-single
Generate a concise 4-5 page equity research earnings preview for a single company. Analyzes the most recent earnings transcript, competitor landscape,…
研究学习 / 检索整理
添加提供商文档
add-provider-doc
添加新 AI 提供商文档指南。在添加新 AI 提供商(如 OpenAI、Anthropic 等)的文档时使用,包括使用文档、…
研究学习 / 检索整理
initiating-coverage
initiating-coverage
Create institutional-quality equity research initiation reports through a 5-task workflow. Tasks must be executed individually with verified prerequisites -…
研究学习 / 检索整理
commodities-quote
commodities-quote
Retrieve real-time commodity price quotes using Octagon MCP. Use when checking current commodity prices, analyzing day ranges, comparing to moving averages,…
研究学习 / 检索整理
tailwind-4-docs
tailwind-4-docs
Comprehensive Tailwind CSS v4 documentation snapshot and workflow guidance. Use when answering Tailwind v4 questions, selecting utilities/variants, configuring…
研究学习 / 检索整理
polymarket
polymarket
Polymarket sports prediction markets — live odds, prices, order books, events, series, and market search. No auth required. Covers NFL, NBA, MLB, football (EPL, UCL, La Liga), tennis, cricket, MMA, esports. Supports moneyline, spreads, totals, and player props. Use when: user asks about sports betting odds, prediction markets, win probabilities, market sentiment, or "who is favored to win" questions. Don't use when: user asks about actual match results, scores, or statistics — use the sport-specific skill: football-data (soccer), nfl-data (NFL), nba-data (NBA), wnba-data (WNBA), nhl-data (NHL), mlb-data (MLB), tennis-data (tennis), golf-data (golf), cfb-data (college football), cbb-data (college basketball), or fastf1 (F1). Don't use for historical match data. Don't use for news — use sports-news instead. Don't confuse with Kalshi — Polymarket focuses on crypto-native prediction markets with deeper sports coverage; Kalshi is a US-regulated exchange with different market structure.
研究学习 / 检索整理
presentation-deck
presentation-deck
Structure compelling design presentations for stakeholders, reviews, and showcases.
研究学习 / 检索整理
claude-scientific-skills
claude-scientific-skills
Scientific research and analysis skills
研究学习 / 检索整理
mongodb-search-and-ai
mongodb-search-and-ai
Guides MongoDB users through implementing and optimizing Atlas Search (full-text), Vector Search (semantic), and Hybrid Search solutions. Use this skill when users need to build search functionality for text-based queries (autocomplete, fuzzy matching, faceted search), semantic similarity (embeddings, RAG applications), or combined approaches. Also use when users need text containment, substring matching ('contains', 'includes', 'appears in'), case-insensitive or multi-field text search, or filtering across many fields with variable combinations. Provides workflows for selecting the right search type, creating indexes, constructing queries, and optimizing performance using the MongoDB MCP server.
研究学习 / 检索整理
domain-ml
domain-ml
Use when building ML/AI apps in Rust. Keywords: machine learning, ML, AI, tensor, model, inference, neural network, deep learning, training, prediction,…
研究学习 / 检索整理
latex-posters
latex-posters
Create professional research posters in LaTeX using beamerposter, tikzposter, or baposter. Support for conference presentations, academic posters, and…