Claude Skills by majiayu000

Graph Neural Networks (PyG). Node/graph classification, link prediction, GCN, GAT, GraphSAGE, heterogeneous graphs, molecular property prediction, for geometric deep learning.

Graph-based drug discovery toolkit. Molecular property prediction (ADMET), protein modeling, knowledge graph reasoning, molecular generation, retrosynthesis, GNNs (GIN, GAT, SchNet), 40+ datasets, for PyTorch-based ML on molecules, proteins, and biomedical graphs.

Graph-based drug discovery toolkit. Molecular property prediction (ADMET), protein modeling, knowledge graph reasoning, molecular generation, retrosynthesis, GNNs (GIN, GAT, SchNet), 40+ datasets, for PyTorch-based ML on molecules, proteins, and biomedical graphs.

When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," or "hypothesis." For tracking implementation, see analytics-tracking.

When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," or "hypothesis." For tracking implementation, see analytics-tracking.

When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," or "hypothesis." For tracking implementation, see analytics-tracking.

When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," or "hypothesis." For tracking implementation, see analytics-tracking.

Apply step-by-step analysis for complex problems with revision capability. Use for multi-step reasoning, hypothesis verification, adaptive planning, problem decomposition, course correction.

Apply step-by-step analysis for complex problems with revision capability. Use for multi-step reasoning, hypothesis verification, adaptive planning, problem decomposition, course correction.

Apply structured, reflective problem-solving for complex tasks requiring multi-step analysis, revision capability, and hypothesis verification. Use for complex problem decomposition, adaptive planning, analysis needing course correction, problems with unclear scope, multi-step solutions, and hypothesis-driven work.

Apply step-by-step analysis for complex problems with revision capability. Use for multi-step reasoning, hypothesis verification, adaptive planning, problem decomposition, course correction.

Apply structured, reflective problem-solving for complex tasks requiring multi-step analysis, revision capability, and hypothesis verification. Use for complex problem decomposition, adaptive planning, analysis needing course correction, problems with unclear scope, multi-step solutions, and hypothesis-driven work.

Apply structured, reflective problem-solving for complex tasks requiring multi-step analysis, revision capability, and hypothesis verification. Use for complex problem decomposition, adaptive planning, analysis needing course correction, problems with unclear scope, multi-step solutions, and hypothesis-driven work.

Apply structured, reflective problem-solving for complex tasks requiring multi-step analysis, revision capability, and hypothesis verification. Use for complex problem decomposition, adaptive planning, analysis needing course correction, problems with unclear scope, multi-step solutions, and hypothesis-driven work.

Enforces iterative web research for coding and DevOps questions to prevent assumptions about libraries, frameworks, APIs, versions, and configurations. Use this skill when the user asks about programming languages, frameworks, libraries, DevOps tools, cloud platforms, databases, container orchestration, CI/CD, infrastructure as code, or any technical topic where current documentation, version-specific behavior, or recent changes matter. This skill ensures Claude searches and fetches authorita...

Identifies emerging trends, predicts market movements, forecasts future opportunities

提供获取用户自选分组(LongPort)、股票市场数据(LongPort + AkShare)、技术指标计算（ta-lib）的技能。分析数并与用户研究交易策略，形成买卖点建议，并可做回测、寻优与报告输出。

Video/audio transcription, visual frame analysis and summary. Download video from any URL (Twitter, YouTube, Bilibili, etc.), transcribe speech to text, extract keyframes for visual analysis, and summarize content. Keywords: video, transcribe, 转录, 视频, 音频, audio, subtitle, 字幕, summary, 总结, 视频内容, 画面分析, 视觉分析, visual analysis, 视频画面, keyframe, whisper, groq, yt-dlp

Use this skill for requests related to web research; it provides a structured approach to conducting comprehensive web research

DuckDuckGo를 사용한 웹 검색. 텍스트, 뉴스, 이미지 검색을 지원. 빌트인 WebSearch가 제한적이거나, 뉴스/이미지 검색, 지역/기간 필터가 필요할 때 사용. "검색해줘", "찾아줘", "search", "뉴스 검색", "이미지 검색" 등의 요청 시 활성화.

Autonomous agent-based web search fallback for when WebSearch API fails or hits limits

Archaeological analysis of WordPress sites. Detects all page builders, audits plugins (active vs dead weight), maps content structure, finds orphaned shortcodes, measures performance, and assesses security posture. Use when user says "analyze my wordpress site", "wordpress site audit", "site dna", or "check my wordpress health".

Deep iterative research using progressive flow psychology (diverge-analyze-converge-execute) with parallel agents, skeptical analysis, and multi-perspective synthesis. Use for thorough topic exploration, decision-making research, or when you need battle-tested conclusions.

Query openFDA API for drugs, devices, adverse events, recalls, regulatory submissions (510k, PMA), substance identification (UNII), for FDA regulatory data analysis and safety research.

Send WhatsApp messages to other people or search/sync WhatsApp history via the wacli CLI (not for normal user chats).

Send WhatsApp messages to other people or search/sync WhatsApp history via the wacli CLI (not for normal user chats).

Send WhatsApp messages to other people or search/sync WhatsApp history via the wacli CLI (not for normal user chats).

Send WhatsApp messages to other people or search/sync WhatsApp history via the wacli CLI (not for normal user chats).

Send WhatsApp messages to other people or search/sync WhatsApp history via the wacli CLI (not for normal user chats).

Send WhatsApp messages to other people or search/sync WhatsApp history via the wacli CLI (not for normal user chats).

Send WhatsApp messages to other people or search/sync WhatsApp history via the wacli CLI (not for normal user chats).

A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).

A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).

A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).

A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).

A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).

A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).

A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).

A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).

A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).

A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).

A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).

A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).

A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).

Use this skill when the user asks to save, remember, recall, or organize memories. Triggers on: 'remember this', 'save this', 'note this', 'what did we discuss about...', 'check your notes', 'clean up memories'. Also use proactively when discovering valuable findings worth preserving.

Save workflow state for resume/recovery. Use at natural breakpoints before context-intensive operations, major refactors, or session interruptions.

End AGET session with state capture and sanity checks

End AGET session with state capture and sanity checks

Start fresh with cleared history after task completion. Use PROACTIVELY when user says "done"/"finished", all tasks complete, or starting new unrelated work. Clears all history.

Start fresh with cleared history after task completion. Use PROACTIVELY when user says "done"/"finished", all tasks complete, or starting new unrelated work. Clears all history.