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找到 347 个相关结果 / 内容写作
研究学习 / 检索整理
kb-article
kb-article
Draft a knowledge base article from a resolved issue or common question. Use when a ticket resolution is worth documenting for self-service, the same question…
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
jina-reader
jina-reader
Web content extraction via Jina AI Reader API. Three modes: read (URL to markdown), search (web search + full content), ground (fact-checking). Extracts clean…
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
qdrant
qdrant
Provides Qdrant vector database integration patterns with LangChain4j. Handles embedding storage, similarity search, and vector management for Java…
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
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
paper-writing
paper-writing
Expert guidance for writing high-quality academic and research papers. Use when the user wants to write, structure, revise, or improve academic papers,…
研究学习 / 检索整理
indexing
indexing
When the user wants to fix indexing issues from Search Console, use noindex, or implement Google Indexing API. Also use when the user mentions "fix indexing,"…
研究学习 / 检索整理
tavily-search
tavily-search
Web search, extraction, crawling, mapping, and deep research via Tavily API. Five tools for finding information, extracting content, exploring websites, and…
研究学习 / 检索整理
机器学习论文写作
ml-paper-writing
为 NeurIPS、ICML、ICLR、ACL、AAAI、COLM 撰写达到发表标准的 ML/AI 论文。适用于基于研究仓库起草论文、组织论证结构、验证…
研究学习 / 检索整理
godot-development
godot-development
Expert knowledge of Godot Engine game development including scene creation, node management, GDScript programming, and project structure. Use when working with…
研究学习 / 检索整理
get-api-docs
get-api-docs
Use this skill to get documentation for third-party APIs, SDKs or libraries before writing code that uses them to ensure you have the latest, most accurate documentation. This is a better way to find documentation than doing web search. This includes when a user asks for tasks like "use the OpenAI API", "call the Stripe API", "use the Anthropic SDK", "query Pinecone", or any other time the user asks you to write code against an external service and you need current API reference. Fetch the docs with chub before answering, rather than relying on your pre-trained knowledge, which may be outdated because of recent changes to these APIs. Be sure to use this skill when the user asks for the latest docs, latest API behavior, or explicitly mentions chub or Context Hub. Ensure `chub` is available, run `chub --help`, then follow the instructions there.
研究学习 / 检索整理
research-sources
research-sources
When the user wants to find information sources for content ideation, competitor monitoring, or industry tracking. Also use when the user mentions "research…
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
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
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,…