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研究学习 / 检索整理
retrospective-facilitation
retrospective-facilitation
Facilitate effective retrospectives to capture lessons learned, celebrate successes, and identify actionable improvements for future iterations.
研究学习 / 检索整理
ln-112-project-core-creator
ln-112-project-core-creator
Creates core project docs (requirements, architecture, tech stack, patterns catalog). Use for any project regardless of type.
研究学习 / 检索整理
paper-writing-section
paper-writing-section
Write a specific section of an academic paper (Abstract, Introduction, Background, Related Work, Methods, Experiments, Results, Discussion/Conclusion) with…
研究学习 / 检索整理
matplotlib
matplotlib
Low-level plotting library for full customization. Use when you need fine-grained control over every plot element, creating novel plot types, or integrating…
研究学习 / 检索整理
biomni
biomni
Autonomous biomedical AI agent framework for executing complex research tasks across genomics, drug discovery, molecular biology, and clinical analysis. Use…
研究学习 / 检索整理
peer-review
peer-review
Structured manuscript/grant review with checklist-based evaluation. Use when writing formal peer reviews with specific criteria methodology assessment,…
研究学习 / 检索整理
ln-221-story-creator
ln-221-story-creator
Creates Story documents with 9-section structure and INVEST validation via the configured tracker provider. Use when Epic has an IDEAL plan ready for Story…
研究学习 / 检索整理
Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple…
研究学习 / 检索整理
fetching-dbt-docs
fetching-dbt-docs
Retrieves and searches dbt documentation pages in LLM-friendly markdown format. Use when fetching dbt documentation, looking up dbt features, or answering…
研究学习 / 检索整理
scikit-learn
scikit-learn
Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering,…
研究学习 / 检索整理
research
research
Diagnose research quality and guide systematic query expansion. Use when starting research on any topic, when stuck in research, or when unsure if research is…
研究学习 / 检索整理
codex-subagent
codex-subagent
Spawn Codex subagents via background shell to offload context-heavy work. Use for: deep research (3+ searches), codebase exploration (8+ files), multi-step workflows, exploratory tasks, long-running operations, documentation generation, or any other task where the intermediate steps will use large numbers of tokens.
研究学习 / 检索整理
citation-management
citation-management
Comprehensive citation management for academic research. Search Google Scholar and PubMed for papers, extract accurate metadata, validate citations, and…
研究学习 / 检索整理
self-review
self-review
Automatically review an academic paper using the NeurIPS review form with three reviewer personas, ensemble scoring, and reflection refinement. Extracts text…
研究学习 / 检索整理
related-work-writing
related-work-writing
Write Related Work sections that compare and contrast prior work with your approach. Organize by theme, cite broadly, and explain how your work differs. Use…
研究学习 / 检索整理
nansen-token-research
nansen-token-research
Token deep dive — info, OHLCV, holders, flows, flow intelligence, who bought/sold, DEX trades, PnL, perp trades, perp positions, perp PnL leaderboard. Use when…
研究学习 / 检索整理
ln-650-persistence-performance-auditor
ln-650-persistence-performance-auditor
Use when auditing persistence and runtime performance through the evaluation platform with mandatory research, coordinated data-layer workers, and structured…
研究学习 / 检索整理
deep-research
deep-research
Execute autonomous multi-step research using Google Gemini Deep Research Agent. Use for: market analysis, competitive landscaping, literature reviews,…
研究学习 / 检索整理
feishu-docx
feishu-docx
Export, write, and manage Feishu/Lark cloud documents. Supports docx, sheets, bitable, wiki, WeChat article import/export, drive management, and browser-based…
研究学习 / 检索整理
searching-mlflow-docs
searching-mlflow-docs
Searches and retrieves MLflow documentation from the official docs site. Use when the user asks about MLflow features, APIs, integrations (LangGraph,…