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Agent skills
ai-skills

Topic: ai-skills

5,410 skills in this topic.

benchling-integration Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
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context7 Search GitHub issues, pull requests, and discussions across any repository. Activates when researching external dependencies (whisper.cpp, NAudio), looking for similar bugs, or finding implementation examples.
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exa 使用 Exa.ai API 进行高质量的互联网搜索。需要 EXA_API_KEY 环境变量。
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citation-management Comprehensive citation management for academic research. Search Google Scholar and PubMed for papers, extract accurate metadata, validate citations, and generate properly formatted BibTeX entries. This skill should be used when you need to find papers, verify citation information, convert DOIs to BibTeX, or ensure reference accuracy in scientific writing.
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brainstorming You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
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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.
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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。
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quality-manager-qms-iso13485 ISO 13485 Quality Management System specialist for medical device companies. Provides QMS implementation, maintenance, process optimization, and compliance expertise. Use for QMS design, documentation control, management review, internal auditing, corrective actions, and ISO 13485 certification activities.
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pufferlib This skill should be used when working with reinforcement learning tasks including high-performance RL training, custom environment development, vectorized parallel simulation, multi-agent systems, or integration with existing RL environments (Gymnasium, PettingZoo, Atari, Procgen, etc.). Use this skill for implementing PPO training, creating PufferEnv environments, optimizing RL performance, or developing policies with CNNs/LSTMs.
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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.
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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).
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pymc-bayesian-modeling Bayesian modeling with PyMC. Build hierarchical models, MCMC (NUTS), variational inference, LOO/WAIC comparison, posterior checks, for probabilistic programming and inference.
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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.
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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.
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web-browser Allows to interact with web pages by performing actions such as clicking buttons, filling out forms, and navigating links. It works by remote controlling Google Chrome or Chromium browsers using the Chrome DevTools Protocol (CDP). When Claude needs to browse the web, it can use this skill to do so.
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quality-documentation-manager Senior Quality Documentation Manager for comprehensive documentation control and regulatory document review. Provides document management system design, change control, configuration management, and regulatory documentation oversight. Use for document control system implementation, regulatory document review, change management, and documentation compliance verification.
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scientific-schematics Create publication-quality scientific diagrams using Nano Banana Pro AI with smart iterative refinement. Uses Gemini 3 Pro for quality review. Only regenerates if quality is below threshold for your document type. Specialized in neural network architectures, system diagrams, flowcharts, biological pathways, and complex scientific visualizations.
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chipsec Static analysis of UEFI/BIOS firmware dumps using Intel's chipsec framework. Decode firmware structure, detect known malware and rootkits (LoJax, ThinkPwn, HackingTeam, MosaicRegressor), generate EFI executable inventories with hashes, extract NVRAM variables, and parse SPI flash descriptors. Use when analyzing firmware .bin/.rom/.fd/.cap files offline without requiring hardware access.
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apktool Android APK unpacking and resource extraction tool for reverse engineering. Use when you need to decode APK files, extract resources, examine AndroidManifest.xml, analyze smali code, or repackage modified APKs.
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risk-management-specialist Senior Risk Management specialist for medical device companies implementing ISO 14971 risk management throughout product lifecycle. Provides risk analysis, risk evaluation, risk control, and post-production information analysis. Use for risk management planning, risk assessments, risk control verification, and risk management file maintenance.
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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 based on query complexity. Search academic papers, recent studies, technical documentation, and general research information with citations.
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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.
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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。
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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.
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