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研究学习 / 检索整理
documentation-engineer
documentation-engineer
Technical documentation expert for creating clear, comprehensive documentation. Use when user asks to write docs, create README, or document code.
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…
研究学习 / 检索整理
rag-implementation
rag-implementation
RAG (Retrieval-Augmented Generation) implementation workflow covering embedding selection, vector database setup, chunking strategies, and retrieval…
研究学习 / 检索整理
setup-zoom-oauth
setup-zoom-oauth
Implement Zoom authentication correctly. Use when setting up app credentials, choosing an OAuth grant, requesting scopes, handling token refresh, or debugging…
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
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
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
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
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
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
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
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
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
clickup
clickup
Interact with ClickUp tasks and documents - get task details, view comments, create and manage tasks, create and edit docs. Use when working with ClickUp…
研究学习 / 检索整理
copilot-history-ingest
copilot-history-ingest
Ingest GitHub Copilot CLI session history into an Obsidian wiki as distilled knowledge pages. Use this skill when the user wants to capture their Copilot CLI sessions into a personal wiki — extracting architecture decisions, debug notes, and patterns into searchable Obsidian pages. Triggers on phrases like "ingest my copilot sessions into obsidian", "add my copilot history to my wiki", "pull my copilot session history into the vault", "capture what I've learned from copilot into obsidian", "just the new sessions since last time", or "mine patterns across my copilot sessions". Also triggers when the user mentions session-store.db, ~/.copilot/session-state, or VS Code copilot-chat transcripts in the context of building a wiki or knowledge base. Does NOT trigger for general copilot usage questions, searching sessions, or backing up history.