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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
deep-research
deep-research
Generate format-controlled research reports with evidence tracking, citations, source governance, and multi-pass synthesis. This skill should be used when users request a research report, literature review, market or industry analysis, competitive landscape, policy or technical brief. Triggers: "帮我调研一下", "深度研究", "综述报告", "深入分析", "research this topic", "write a report on", "survey the literature on", "competitive analysis of", "技术选型分析", "竞品研究", "政策分析", "行业报告". V6 adds: source-type governance, AS_OF freshness checks, mandatory counter-review, and citation registry. V6.1 adds: source accessibility (circular verification forbidden, exclusive advantage encouraged).
研究学习 / 检索整理
pinecone
pinecone
Managed vector database for production AI applications. Fully managed, auto-scaling, with hybrid search (dense + sparse), metadata filtering, and namespaces.…
研究学习 / 检索整理
create-pr
create-pr
Creates pull requests with bilingual documentation updates. Use when user asks to create PR, make a pull request, or submit changes for review. Automatically…
研究学习 / 检索整理
domain-context
domain-context
Progressive Domain Crystallization (PDC) — a skill for building and maintaining a living domain knowledge base for any custom business application. Use this skill whenever the user is developing a business application and wants the AI to accumulate understanding of internal terminology, entities, relationships, and business rules over time — especially when that knowledge is not fully defined upfront and grows across sessions. Trigger on any of: "remember how our system works", "learn our domain", "track business entities", "build domain knowledge", "understand our terminology", "grow AI context over time", "domain model", "business rules documentation", or whenever a user says the AI doesn't understand their business-specific language or data model. Also use at the start of any session where a .tasks/domain.md file exists in the project — always read it before doing any work.
研究学习 / 检索整理
学术深度研究
academic-deep-research
透明、严谨的研究,包含完整方法论——而非黑盒 API 封装。通过强制的双周期研究进行穷尽式调查……
研究学习 / 检索整理
stock-quote
stock-quote
Retrieve real-time stock quotes using Octagon MCP. Use when you need current price, day range, 52-week range, volume, market cap, and moving averages for any…
研究学习 / 检索整理
学术论文评审
academic-paper-review
当用户请求审阅、分析、批评或总结学术论文、研究文章、预印本或科学出版物时使用此技能。…
研究学习 / 检索整理
build-zoom-video-sdk-app
build-zoom-video-sdk-app
Reference skill for Zoom Video SDK. Use after routing to a custom-session workflow when the user needs full control over the video experience rather than an…
研究学习 / 检索整理
literature-review
literature-review
Conduct a systematic literature review on an academic topic. Use when the user asks for a literature review, survey, or systematic overview of a research area.
研究学习 / 检索整理
research-lookup
research-lookup
Look up current research information using Perplexity's Sonar Pro Search or Sonar Reasoning Pro models through OpenRouter. Automatically selects the best model…
研究学习 / 检索整理
knowledge-base-builder
knowledge-base-builder
FAQ identification from support tickets, step-by-step tutorial creation, screenshot/video script guidance, search optimization, and self-service deflection…
研究学习 / 检索整理
content-research-writer
content-research-writer
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on…
研究学习 / 检索整理
social-media-trends-research
social-media-trends-research
Programmatic social media and marketing research using free tools: pytrends (Google Trends), yars (Reddit without API keys), and Perplexity MCP…
研究学习 / 检索整理
technical-writing
technical-writing
Expert technical writing guidelines for creating clear, in-depth developer tutorials and documentation with practical, implementable knowledge
研究学习 / 检索整理
qveris
qveris
Search and execute dynamic tools via QVeris API. Use when needing to find and call external APIs/tools dynamically (weather, search, data retrieval, stock…
研究学习 / 检索整理
research-grants
research-grants
Write competitive research proposals for NSF, NIH, DOE, and DARPA. Agency-specific formatting, review criteria, budget preparation, broader impacts,…
研究学习 / 检索整理
context7-auto-research
context7-auto-research
Automatically fetches up-to-date documentation from Context7 when users ask about libraries, frameworks, APIs, or need code examples. Triggers proactively…
研究学习 / 检索整理
market-analysis
market-analysis
Use when analyzing markets or interpreting charts - applies technical indicators (RSI, MACD, Moving Averages), identifies support/resistance, analyzes…
研究学习 / 检索整理
msgraph
msgraph
Up-to-date Microsoft Graph API knowledge for AI agents. Search 27,700+ Graph APIs, endpoint docs, resource schemas, and community samples — all locally, no…