Topic: claude
14,433 skills in this topic.
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metabolomics-workbench-database
Access NIH Metabolomics Workbench via REST API (4,200+ studies). Query metabolites, RefMet nomenclature, MS/NMR data, m/z searches, study metadata, for metabolomics and biomarker discovery.
aiskillstore/marketplace 232
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pennylane
Cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Enables building and training quantum circuits with automatic differentiation, seamless integration with PyTorch/JAX/TensorFlow, and device-independent execution across simulators and quantum hardware (IBM, Amazon Braket, Google, Rigetti, IonQ, etc.). Use when working with quantum circuits, variational quantum algorithms (VQE, QAOA), quantum neural networks, hybrid quantum-classical models, molecular simulations, quantum chemistry calculations, or any quantum computing tasks requiring gradient-based optimization, hardware-agnostic programming, or quantum machine learning workflows.
aiskillstore/marketplace 232
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pyhealth
Comprehensive healthcare AI toolkit for developing, testing, and deploying machine learning models with clinical data. This skill should be used when working with electronic health records (EHR), clinical prediction tasks (mortality, readmission, drug recommendation), medical coding systems (ICD, NDC, ATC), physiological signals (EEG, ECG), healthcare datasets (MIMIC-III/IV, eICU, OMOP), or implementing deep learning models for healthcare applications (RETAIN, SafeDrug, Transformer, GNN).
aiskillstore/marketplace 232
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pytorch-lightning
Deep learning framework (PyTorch Lightning). Organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, implement data pipelines, callbacks, logging (W&B, TensorBoard), distributed training (DDP, FSDP, DeepSpeed), for scalable neural network training.
aiskillstore/marketplace 232
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reactome-database
Query Reactome REST API for pathway analysis, enrichment, gene-pathway mapping, disease pathways, molecular interactions, expression analysis, for systems biology studies.
aiskillstore/marketplace 232
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gitlab-mr-issue
查看/更新 GitLab Issue、MR（含评论与 diff），并按团队规范非交互创建或修改 MR/Issue；涉及 GitLab（含自建实例）Issue/MR 的操作时使用。
aiskillstore/marketplace 232
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golang-lo
Go >= 1.18 项目中希望用 samber/lo（Lodash 风格泛型库）简化集合/映射/字符串、错误处理、重试/节流/防抖、通道并发或指针空值场景时使用。
aiskillstore/marketplace 232
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pwdebug
用于需要通过命令行操作真实浏览器实例进行前端调试（如导航、执行 JS、截图、元素拾取、控制台日志）且希望跨多次命令复用同一浏览器会话的场景。
aiskillstore/marketplace 232
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backend-dev-guidelines
Comprehensive backend development guide for Node.js/Express/TypeScript microservices. Use when creating routes, controllers, services, repositories, middleware, or working with Express APIs, Prisma database access, Sentry error tracking, Zod validation, unifiedConfig, dependency injection, or async patterns. Covers layered architecture (routes → controllers → services → repositories), BaseController pattern, error handling, performance monitoring, testing strategies, and migration from legacy patterns.
aiskillstore/marketplace 232
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ai-runtime-memory
AI Runtime分层记忆系统，支持SQL风格的事件查询、时间线管理，以及记忆的智能固化和检索，用于项目历史追踪和经验传承
aiskillstore/marketplace 232
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improve-skill
Analyze coding agent session transcripts to improve existing skills or create new ones. Use when asked to improve a skill based on a session, or extract a new skill from session history.
aiskillstore/marketplace 232
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knowledge-base
专业的知识库管理系统，旨在解决“知识诅咒”和认知偏差问题。通过显式化隐性知识、扫描代码提取领域概念、整合行业最佳实践，构建结构化的 Markdown 知识库。
aiskillstore/marketplace 232
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project-planner
Comprehensive project planning and documentation generator for software projects. Creates structured requirements documents, system design documents, and task breakdown plans with implementation tracking. Use when starting a new project, defining specifications, creating technical designs, or breaking down complex systems into implementable tasks. Supports user story format, acceptance criteria, component design, API specifications, and hierarchical task decomposition with requirement traceability.
aiskillstore/marketplace 232
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workhub
工作文档枢纽，强制执行 SSOT（Single Source of Truth）原则，管理 `docs/` 目录下的架构决策、设计文档、Issues（任务规划）、PRs（变更记录）。支持 GitHub 协作开发模式。
aiskillstore/marketplace 232
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post-show-followup
Create post-trade-show follow-up email sequences, lead nurture campaigns, and meeting recap emails. Use this skill when the user needs to follow up with leads after a trade show, exhibition, expo, or conference — including tiered email sequences (hot/warm/cold), thank-you emails, meeting recap emails, badge-scan follow-ups, or any post-event outreach. Triggers on phrases like 'follow up after the show', 'post-show emails', 'write a thank you to people we met at [event]', 'we collected 200 leads at [show], help me write follow-up', 'the show just ended, now what', 'convert trade show leads into pipeline', 'trade show lead follow-up template', 'post-event email sequence', 'convert trade show leads', 'follow up with expo contacts', or 'I have a spreadsheet of contacts from the expo'. Also use this skill if the user mentions having just returned from a trade show and wants to do something with the contacts they collected.
aiskillstore/marketplace 232
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trade-show-budget-planner
Plan trade show budgets, estimate exhibition costs, and calculate expected ROI. Use this skill when the user needs to build a trade show budget, figure out how much it costs to exhibit at a show, estimate ROI from attending or exhibiting, plan spending for an upcoming event, justify trade show investment to leadership, or decide whether a show is worth the money. Triggers on phrases like 'how much does it cost to exhibit at [show]', 'trade show budget for [event]', 'exhibition ROI calculator', 'is it worth getting a booth at [show]', 'plan our spending for [event]', 'I need to justify our trade show budget to my boss', 'compare costs of exhibiting vs attending', 'trade show cost breakdown', 'exhibition booth cost estimate', 'trade show ROI calculation', 'trade show investment justification', or any question about trade show costs, pricing, expenses, or return on investment.
aiskillstore/marketplace 232
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trade-show-finder
Find, compare, and research trade shows, exhibitions, expos, and industry events by vertical, region, date, or audience. Use this skill whenever the user wants to discover which trade shows exist for their industry, compare multiple events side-by-side, decide which shows are worth attending or exhibiting at, look up event dates and venues, research exhibitor counts or visitor profiles, or plan an annual trade show calendar. Also triggers on questions like 'what are the best shows for [industry]', 'when is [show name]', 'should we go to [event] or [event]', 'find me exhibitions in Germany for packaging', 'trade show calendar 2026', 'exhibition calendar Europe', 'B2B trade shows', 'what industry events should I attend', 'upcoming trade fairs', or even vague requests like 'we need to get in front of more buyers — what events should we be at'. If the user mentions any specific trade show by name (CES, MEDICA, Hannover Messe, Interpack, SXSW, Bauma, etc.) and wants information about it, use this skill.
aiskillstore/marketplace 232
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advanced-evaluation
This skill should be used when the user asks to "implement LLM-as-judge", "compare model outputs", "create evaluation rubrics", "mitigate evaluation bias", or mentions direct scoring, pairwise comparison, position bias, evaluation pipelines, or automated quality assessment.
aiskillstore/marketplace 232
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bdi-mental-states
This skill should be used when the user asks to "model agent mental states", "implement BDI architecture", "create belief-desire-intention models", "transform RDF to beliefs", "build cognitive agent", or mentions BDI ontology, mental state modeling, rational agency, or neuro-symbolic AI integration.
aiskillstore/marketplace 232
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context-compression
This skill should be used when the user asks to "compress context", "summarize conversation history", "implement compaction", "reduce token usage", or mentions context compression, structured summarization, tokens-per-task optimization, or long-running agent sessions exceeding context limits.
aiskillstore/marketplace 232
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multi-agent-patterns
This skill should be used when the user asks to "design multi-agent system", "implement supervisor pattern", "create swarm architecture", "coordinate multiple agents", or mentions multi-agent patterns, context isolation, agent handoffs, sub-agents, or parallel agent execution.
aiskillstore/marketplace 232
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project-development
This skill should be used when the user asks to "start an LLM project", "design batch pipeline", "evaluate task-model fit", "structure agent project", or mentions pipeline architecture, agent-assisted development, cost estimation, or choosing between LLM and traditional approaches.
aiskillstore/marketplace 232
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tool-design
This skill should be used when the user asks to "design agent tools", "create tool descriptions", "reduce tool complexity", "implement MCP tools", or mentions tool consolidation, architectural reduction, tool naming conventions, or agent-tool interfaces.
aiskillstore/marketplace 232
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docstring
Write docstrings for PyTorch functions and methods following PyTorch conventions. Use when writing or updating docstrings in PyTorch code.
aiskillstore/marketplace 232