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找到 806 个相关结果 / 前端体验
研究学习 / 检索整理
scientific-slides
scientific-slides
Build slide decks and presentations for research talks. Use this for making PowerPoint slides, conference presentations, seminar talks, research presentations,…
研究学习 / 检索整理
equity-research
equity-research
Generate comprehensive equity research snapshots combining analyst consensus estimates, company fundamentals, historical prices, and macroeconomic context. Use…
研究学习 / 检索整理
mintlify
mintlify
Comprehensive reference for building Mintlify documentation sites. Use when creating pages, configuring docs.json, adding components, setting up navigation, or…
研究学习 / 检索整理
proto-persona
proto-persona
Create a proto-persona from current research, market signals, and team knowledge. Use when you need a working customer profile before deeper validation.
研究学习 / 检索整理
docs-changelog
docs-changelog
Generates and formats changelog files for a new release based on provided version and raw changelog data.
研究学习 / 检索整理
gpt-researcher
gpt-researcher
GPT Researcher is an autonomous deep research agent that conducts web and local research, producing detailed reports with citations. Use this skill when…
研究学习 / 检索整理
markdown-documentation
markdown-documentation
Master markdown formatting, GitHub Flavored Markdown, README files, and documentation formatting. Use when writing markdown docs, READMEs, or formatting documentation.
研究学习 / 检索整理
implement-paper
implement-paper
Implement a research paper as an interactive marimo notebook together with the user. Start by understanding what the user wants to explore, fetch the paper via…
研究学习 / 检索整理
arxiv-search
arxiv-search
Search arXiv physics, math, and computer science preprints using natural language queries. Powered by Valyu semantic search.
研究学习 / 检索整理
langchain4j-vector-stores-configuration
langchain4j-vector-stores-configuration
Provides configuration patterns for LangChain4J vector stores in RAG applications. Use when building semantic search, integrating vector databases…
研究学习 / 检索整理
qmd
qmd
Local hybrid search for markdown notes and docs. Use when searching notes, finding related content, or retrieving documents from indexed collections.
研究学习 / 检索整理
添加提供者文档
add-provider-doc
新增 AI 提供商文档指南。在添加新的 AI 提供商(如 OpenAI、Anthropic 等)文档时使用,包括使用文档、…
研究学习 / 检索整理
code-review-graph
code-review-graph
Build a persistent knowledge graph of your codebase so Claude reads only what matters — up to 49x fewer tokens on coding tasks.
研究学习 / 检索整理
rag
rag
Implements document chunking, embedding generation, vector storage, and retrieval pipelines for Retrieval-Augmented Generation systems. Use when building RAG…
研究学习 / 检索整理
brave-search
brave-search
Web search and content extraction via Brave Search API. Use for searching documentation, facts, or any web content. Lightweight, no browser required.
研究学习 / 检索整理
Apple 搜索广告
apple-search-ads
当用户想要设置、优化或扩展 Apple Search Ads (ASA) 广告系列时——包括关键词竞价、匹配类型、广告系列结构、Creative Sets……
研究学习 / 检索整理
keyword-research
keyword-research
When the user wants to research keywords, find target keywords, or analyze search intent. Also use when the user mentions "keyword research," "keyword tool,"…
研究学习 / 检索整理
sf-datacloud-act
sf-datacloud-act
Salesforce Data Cloud Act phase. TRIGGER when: user manages activations, activation targets, data actions, or downstream delivery of Data Cloud audiences and data. DO NOT TRIGGER when: the task is segment creation (use sf-datacloud-segment), data retrieval/search work (use sf-datacloud-retrieve), or STDM/session tracing (use sf-ai-agentforce-observability).
研究学习 / 检索整理
sf-datacloud-harmonize
sf-datacloud-harmonize
Salesforce Data Cloud Harmonize phase. TRIGGER when: user works with DMOs, mappings, relationships, identity resolution, unified profiles, data graphs, or universal IDs. DO NOT TRIGGER when: the task is only about streams/DLOs (use sf-datacloud-prepare), segments/insights (use sf-datacloud-segment), retrieval/search (use sf-datacloud-retrieve), or STDM/session tracing (use sf-ai-agentforce-observability).
研究学习 / 检索整理
deep-research
deep-research
Universal deep research agent team. 13-agent pipeline for rigorous academic research on any topic. 7 modes: full research, quick brief, paper review,…