🎯Skills243
Enables seamless integration with Protocols.io by generating code and automating protocol-related workflows through Claude AI interactions.
Predicts protein-ligand binding poses and interactions using advanced machine learning techniques for molecular docking simulations.
Generates code templates and boilerplate for astronomical data processing, coordinate transformations, and scientific computations using the Astropy Python library.
Enables seamless interaction with Zinc search database, allowing developers to perform efficient indexing, searching, and data management operations through Claude Code.
Generates professional scientific diagrams and schematic illustrations for research papers, technical reports, and academic presentations using advanced visualization techniques.
Generates and analyzes physiological signals and biosignals using the NeuroKit2 Python library for neurophysiological research and data processing.
Processes and manipulates DICOM medical imaging files using Python's pydicom library, enabling reading, writing, and extracting metadata from medical images.
Generates molecular structures, performs chemical property predictions, and assists with medicinal chemistry computational tasks and analysis.
Generates financial transaction tracking and accounting templates for cryptocurrency or blockchain-based financial management systems.
Retrieves and processes genomic data from the Ensembl database, enabling researchers to query and extract biological information programmatically.
Generates code and scripts to seamlessly integrate and interact with the DNAnexus genomic data platform, enabling automated data processing and workflow management.
Retrieves and processes scientific research papers from the bioRxiv preprint repository, enabling quick access and analysis of the latest biological and medical research publications.
Enables seamless integration and data exchange between scientific image analysis platforms and the OMERO (Open Microscopy Environment) image management system.
Generates Python code for metabolic modeling and constraint-based analysis using the COBRApy library for systems biology research.
Retrieves and analyzes single-cell gene expression data from the CZ CELLxGENE Census, enabling researchers to explore and extract cellular genomic information programmatically.
Retrieves and manages Protein Data Bank (PDB) database information, allowing users to query and interact with protein structural data programmatically.
Retrieves and processes FDA (Food and Drug Administration) database information, likely providing access to drug, medical device, or regulatory data through a Claude Code skill.
Generates Python code templates and boilerplate for working with SAM (Sequence Alignment/Mapping) files and bioinformatics data processing using the pysam library.
Generates and manipulates molecular data structures and performs chemical informatics operations using Python's datamol library for computational chemistry tasks.
Enables automated interaction with Benchling's biological research platform, facilitating data retrieval, management, and synchronization of genetic sequences and laboratory information.
Retrieves, queries, and processes metabolomics data from the Metabolomics Workbench database for scientific research and analysis.
Generates professional-grade backend code templates and architectures for complex enterprise software projects, focusing on scalable and maintainable backend solutions.
Generates advanced frontend code templates and architectural patterns tailored for senior-level web development, focusing on scalable and best-practice React/TypeScript implementations.
Generates comprehensive DevOps infrastructure configurations, deployment scripts, and best practice recommendations for enterprise-level cloud and container environments.
Generates comprehensive data engineering project templates, architectures, and code snippets tailored for senior-level data professionals across various cloud and big data technologies.
Generates consistent, reusable UI component templates and design system configurations for web and mobile applications using predefined design principles and styles.
Assists researchers and academics in crafting high-quality scientific manuscripts by providing structured writing guidance, formatting suggestions, and language refinement for academic publications.
Converts text or code into a properly formatted Markdown document, ensuring clean structure, syntax highlighting, and proper formatting.
Generates code templates and visualization scripts for scientific data analysis, enabling researchers to quickly create plots, charts, and graphical representations of complex scientific datasets.
Generates comprehensive UX research and design documentation, including user personas, journey maps, design recommendations, and usability analysis reports.
Generates advanced data science project templates, code snippets, and best practices tailored for senior-level data science workflows and complex analytical challenges.
Generates advanced, high-quality AI prompts and provides expert-level prompt engineering strategies for complex AI interactions and task optimization.
Performs comprehensive quality assurance testing by simulating a senior QA engineer's systematic approach to identifying potential software defects and improving code quality.
Generates intelligent, descriptive Git commit messages based on the changes in the current repository's staged files.
Generates comprehensive literature review summaries by analyzing and synthesizing academic research papers and sources.
Generates comprehensive security assessments and best practice recommendations for code repositories, focusing on identifying potential vulnerabilities and proposing robust security enhancements.
Generates structured scientific research ideas and hypotheses by systematically exploring potential research directions, methodological approaches, and innovative experimental concepts.
Downloads videos from various online platforms by extracting media content using configurable parameters and supporting multiple video sources.
Automates initial data exploration by generating Python code to load, summarize, visualize, and provide statistical insights for a given dataset.
Generates professional scientific presentation slides with structured content, data visualizations, and academic formatting based on research inputs.
Generates comprehensive product strategy documents, including market analysis, competitive positioning, target audience insights, and strategic recommendations for new or existing products.
Generates comprehensive machine learning project templates, code structures, and best practices tailored for senior-level machine learning engineering workflows.
Provides strategic technical guidance and decision-making recommendations for Chief Technology Officers, helping evaluate technology choices, architecture strategies, and innovation opportunities.
Generates a structured project development plan by breaking down project requirements into actionable steps, milestones, and implementation strategies.
Generates boilerplate PyTorch Lightning code templates for quickly setting up machine learning training workflows and neural network architectures.
Generates matplotlib visualization code templates and provides intelligent plotting suggestions for data visualization tasks in Python.
Performs web searches using the Perplexity AI search engine to retrieve and provide relevant information and sources for queries.
Manages academic citations by helping users organize, format, and generate bibliographic references across different citation styles and research documents.
Provides strategic business advice and decision-making insights by analyzing company data, market trends, and organizational challenges from a CEO's perspective.
Generates advanced computer vision code templates and solutions for complex image processing, object detection, and machine learning tasks at a senior engineering level.
Generates comprehensive Agile product owner artifacts like user stories, product backlogs, sprint planning documents, and prioritization frameworks to support software development team workflows.
Generates images using AI based on text prompts or descriptions within the Claude Code ecosystem.
Generates Polars DataFrame code templates and provides quick data manipulation and analysis snippets for Python using the Polars library.
Generates machine learning code templates and provides automated guidance for implementing scikit-learn algorithms, preprocessing, model training, and evaluation workflows.
Generates comprehensive security operations (SecOps) code templates and best practices for senior-level cybersecurity professionals, focusing on infrastructure protection, threat detection, and inc...
Generates comprehensive marketing strategy documents and product marketing plans for product marketing managers (PMMs), focusing on go-to-market approaches and strategic positioning.
Generates Python data visualization code using Seaborn, creating statistical graphics and informative plots with minimal configuration.
Generates Python code templates and utilities for materials science and computational chemistry using the Pymatgen library for crystal structure manipulation and analysis.
Generates statistical analysis and regression models using the Python statsmodels library, providing quick code templates for econometric and statistical modeling tasks.
Optimizes web content for search engines by analyzing and improving metadata, keywords, readability, and SEO-related elements to enhance page ranking and visibility.
Retrieves, searches, and provides programmatic access to scientific research publications from the PubMed biomedical literature database.
Generates LaTeX code templates for creating professional academic or research conference posters with customizable layouts and design elements.
Generates code templates and boilerplate for machine learning transformer models, simplifying the process of creating neural network architectures using popular libraries like PyTorch or TensorFlow.
Installs and configures Claude Code skills and templates from the repository, streamlining the setup process for developers using Claude Code.
Generates PyMC-based Bayesian statistical models and provides code templates for probabilistic programming, sampling, and Bayesian inference tasks.
Generates LangChain-based code templates and boilerplate for quickly setting up language model applications with predefined configurations and workflows.
Generates and assists with bioinformatics code and workflows using the scikit-bio library for tasks like sequence analysis, phylogenetics, and microbiome data processing.
Generates code templates and utilities for working with biological web services and APIs, facilitating rapid development of bioinformatics and life science research applications.
Generates network graph analysis and manipulation code using the NetworkX Python library, enabling quick creation of graph-based algorithms and visualizations.
Generates survival analysis models and predictions using scikit-survival, enabling machine learning techniques for time-to-event data and censored survival datasets.
Explains and visualizes feature importance in machine learning models using SHAP (SHapley Additive exPlanations) values to help understand model predictions.
Retrieves and processes chemical compound information from the PubChem database, enabling programmatic access to molecular data and properties.
Generates ECMAScript Module (ESM) code templates and boilerplate for modern JavaScript projects, simplifying module-based development workflows.
Generates and manages long-term, persistent memory and context tracking for AI interactions, enabling continuous learning and contextual awareness across multiple conversations.
Generates SimPy simulation code templates for modeling and analyzing discrete event simulations in Python.
Generates geospatial database schemas, creates location-based data models, and provides SQL/database configuration templates for geographic information systems (GIS) projects.
Automatically diagnoses and repairs GitHub Actions CI/CD workflow configuration errors by analyzing and suggesting fixes for failed pipeline runs.
Generates a structured database schema and sample data for genetic research, facilitating quick setup of gene-related database projects.
Generates Python code templates and boilerplate for healthcare data analysis, machine learning, and medical informatics projects.
Generates, manages, and provides programmatic access to Genome-Wide Association Study (GWAS) databases and related genetic research data.
Retrieves and processes protein structure data from the AlphaFold Protein Structure Database for computational biology and research purposes.
Generates targeted marketing strategies and lead acquisition plans by analyzing market data, customer segments, and potential growth opportunities.
Retrieves, processes, and provides structured access to clinical trial data from public databases, enabling researchers and healthcare professionals to easily search and analyze trial information.
Generates and manages pharmacogenomic (PGx) database schemas and related data structures for clinical genomics research and personalized medicine applications.
Generates code templates and boilerplate for machine learning projects using the TorchDrug library, focusing on drug discovery and molecular machine learning tasks.
Retrieves, processes, and analyzes academic publication and research metadata from the OpenAlex scholarly database using Claude Code.
Generates and solves multi-objective optimization problems using the Pymoo library, providing automated template code for advanced optimization algorithms and experimental setups.
Generates code templates and boilerplate for graph neural network (GNN) projects using PyTorch Geometric, simplifying the development of machine learning models on graph-structured data.
Retrieves, processes, and provides access to ClinVar genetic variant data for medical research and clinical interpretation.
Retrieves, processes, and analyzes biological pathway and molecular interaction data from the KEGG (Kyoto Encyclopedia of Genes and Genomes) database for bioinformatics research.
Generates pre-configured reinforcement learning code templates using the Stable Baselines3 library for training and evaluating machine learning agents in OpenAI Gym environments.
Manages and manipulates string-based data storage, allowing easy creation, retrieval, and modification of strings within a lightweight, in-memory database structure.
Generates and manipulates chemical molecules and performs cheminformatics operations using the RDKit library in Python.
Generates Python code templates for time-series data collection and processing, likely focusing on data extraction, transformation, and analysis workflows.
Retrieves, processes, and provides structured access to pharmaceutical drug information from the DrugBank database for research, analysis, or application development.
Generates Python code templates and boilerplate for single-cell RNA sequencing analysis using the Scanpy library, streamlining computational biology workflow setup.
Generates reusable modal component code templates for different frontend frameworks, simplifying the creation of interactive popup windows in web applications.
Generates comprehensive, high-quality documentation by analyzing code structure, identifying documentation gaps, and recommending improvements for clarity and completeness.
Generates comprehensive ISO 270011001 information security managementadocumentation, templates, and compliance guidance for organizations and organizations.
Captures and transfers knowledge from conversations or notes into a structured Notion database for organized information management and retrieval.
Automatically captures, summarizes, and organizes meeting notes in Notion, extracting key insights, action items, and decisions from recorded or transcribed meetings.
Automates research documentation by generating structured Notion pages with AI-curated insights, summaries, and organized research findings.
Generates comprehensive risk assessment reports, identifies potential business vulnerabilities, and recommends strategic mitigation strategies across various organizational domains.
Transforms Notion specifications into concrete code implementations by automatically converting detailed product or feature specifications written in Notion into executable programming code.
Provides expert guidance and compliance recommendations for GDPR (General Data Protection Regulation) and DSGVO (German data protection law) requirements for businesses and organizations.
Manages and tracks quality management reports (QMRs), providing automated documentation, analysis, and tracking of quality-related metrics and issues in an organizational workflow.
Retrieves, queries, and provides programmatic access to biological pathway and molecular interaction data from the Reactome database for scientific research and analysis.
Generates comprehensive quality management system (QMS) documentation and templates aligned with ISO 13485 medical device regulatory standards, helping medical device companies streamline complianc...
Generates and configures autonomous AI agents using AutoGPT frameworks, enabling multi-agent task completion and collaborative problem-solving through intelligent agent interactions.
Assists quality management professionals in conducting comprehensive QMS (Quality Management System) audits by providing expert guidance, checklist generation, and compliance assessment recommendat...
Performs comprehensive Information Security Management System (ISMS) audits by systematically evaluating and assessing an organization's security policies, controls, and compliance against establis...
Generates comprehensive regulatory compliance documentation and strategic guidance for senior regulatory affairs professionals in healthcare and life sciences industries.
Generates comprehensive compliance and risk assessment documentation for organizational officers, focusing on capability analysis and strategic planning.
Provides specialized guidance and documentation support for FDA regulatory compliance, helping professionals navigate medical device and pharmaceutical submission processes.
Generates color palettes and color-related utilities using the Chroma.js library for color manipulation and design.
Generates geospatial data processing and visualization code templates using GeoPandas for handling geographic information and spatial analysis tasks.
I apologize, but I cannot confidently infer the specific purpose of the "mdr-745-specialist" skill from the provided README. The README appears to be a generic template for a project and does not p...
Generates professional email drafts by automatically composing contextually appropriate email content based on user-provided input and communication goals.
Enables processing and analysis of extremely long-context documents or code repositories by breaking down and intelligently managing extensive input beyond standard token limits.
Helps developers generate descriptive, standardized Git commit messages by analyzing code changes and suggesting meaningful commit descriptions.
Dynamically adapts and optimizes code generation workflows by intelligently adjusting template parameters and generation strategies based on contextual input and project requirements.
Generates quantum computing code and simulations using PennyLane, a Python library for quantum machine learning and quantum computing workflows.
Generates quantum computing code templates and provides sample implementations using the Qiskit quantum programming framework.
Generates quantum computing and quantum mechanics simulation code using the QuTiP (Quantum Toolbox in Python) library for advanced quantum system modeling and analysis.
Generates boilerplate code and configuration templates for efficiently training and fine-tuning machine learning models using Hugging Face's Accelerate library.
Generates comprehensive API integration code, creating robust connection scripts, request handlers, and authentication mechanisms for various web services and platforms.
Transcribes audio files into text using OpenAI's Whisper speech recognition model, enabling accurate and multilingual speech-to-text conversion.
Based on the README, I cannot definitively determine what the "biomni" Claude Code skill specifically does. The README provides general information about the Claude Code Templates project but does ...
Generates personalized medical treatment plans by analyzing patient data, medical history, and clinical guidelines with evidence-based recommendations.
Manages and interacts with ENA (European Nucleotide Archive) database resources, likely facilitating genomic data retrieval, querying, or processing through Claude Code.
Generates code templates and boilerplate for Python machine learning and reinforcement learning projects using the Puffer library.
Retrieves and manages data from the Human Metabolome Database (HMDB), providing programmatic access to metabolomic information and molecular details.
Processes and manipulates annotated single-cell data matrices, enabling efficient analysis and transformation of biological datasets using the AnnData format.
Performs differential gene expression analysis using DESeq2 in Python, enabling statistical comparison of gene expression levels across experimental conditions.
Retrieves, queries, and analyzes chemical compound and bioactivity data from the ChEMBL database for drug discovery and research purposes.
Generates Dask DataFrame and distributed computing code templates for parallel data processing and scalable analytics workflows.
Manages and interacts with a database named Brenda, likely providing CRUD operations and database management functionality for a specific application or project context.
Automatically scans code for potential bugs, vulnerabilities, and coding errors using AI-powered static code analysis and intelligent pattern recognition.
Generates quantum circuit code templates and provides boilerplate code for quantum computing using Google's Cirq framework.
Enables local inference and interaction with Llama C++ language models directly within the Claude Code Templates ecosystem.
Merges machine learning models by combining their architectures, weights, and parameters to create a unified, potentially more powerful or specialized model.
Generates video templates and animations using the Remotion library, enabling programmatic video creation with React components.
Generates and configures LlamaIndex-based RAG (Retrieval-Augmented Generation) code templates for AI document indexing and intelligent querying.
Generates boilerplate code and configuration for integrating Google Analytics tracking into web applications or websites.
Enables programmatic interaction with DSPy, a framework for composing and optimizing language model pipelines, allowing dynamic prompt engineering and retrieval-augmented generation strategies.
Generates PyTorch Fully Sharded Data Parallel (FSDP) configuration templates and boilerplate code for distributed machine learning training across multiple GPUs or nodes.
Enables seamless vector database integration with Pinecone, allowing developers to easily store, index, and retrieve embeddings for AI-powered semantic search and similarity matching.
Analyzes neuronal recording data from Neuropixels probes, processing and extracting insights from high-density electrophysiological neural recordings.
Prunes machine learning models by removing unnecessary parameters and neurons to reduce model size and improve inference efficiency.
Enables efficient transfer of knowledge from a large, complex machine learning model to a smaller, more compact model while preserving performance.
Trains machine learning models using a Mixture of Experts (MoE) approach, likely optimizing model performance through specialized expert networks.
Optimizes and accelerates deep learning model training by automatically configuring DeepSpeed settings for efficient distributed and memory-efficient neural network computations.
Generates a multi-agent AI workflow using CrewAI, enabling collaborative task completion across specialized AI agents with defined roles and objectives.
Generates configuration and training scripts for large language models using the Megatron framework, optimizing distributed training processes for massive neural networks.
nemo-curator skill from davila7/claude-code-templates
Generates comprehensive code instruction templates and learning materials for programming tasks, helping developers understand and implement coding concepts more effectively.
Generates and provides code templates for working with Hugging Face tokenizers, enabling quick implementation of text tokenization in machine learning and NLP projects.
Serves large language models efficiently using vLLM, enabling high-performance, low-latency model inference and deployment with optimized resource utilization.
Enables seamless integration and tracking of machine learning experiment metrics and artifacts using Weights & Biases (wandb) within Claude Code templates.
Enables efficient similarity search and clustering of high-dimensional vector embeddings using Facebook AI's FAISS library for rapid nearest neighbor retrieval and machine learning applications.
Generates and configures custom Llama language model training and deployment configurations with flexible parameter settings and optimization options.
Optimizes and fine-tunes large language models using the UnSloth library, enabling efficient and fast model training with reduced computational requirements.
Generates a compact, efficient neural network language model implementation inspired by Andrej Karpathy's NanoGPT, enabling quick prototyping of small-scale transformer-based text generation models.
Generates MLflow configuration and setup code for machine learning experiment tracking and model management in Python projects.
Extracts, analyzes, and processes PDF documents, enabling advanced text extraction, metadata parsing, and content manipulation with intelligent parsing capabilities.
Transforms text sentences into dense vector representations using machine learning models, enabling semantic similarity comparisons and advanced natural language processing tasks.
Optimizes and accelerates attention mechanisms in neural networks by implementing Flash Attention techniques for improved computational efficiency.
Accelerates language model token generation by predicting and verifying potential next tokens in parallel, reducing overall inference time and computational overhead.
Generates optimized TensorRT configurations and deployment scripts for large language models, enabling high-performance GPU inference acceleration.
Generates code templates and boilerplate for implementing Mamba architecture, a state-space model neural network architecture for efficient sequence modeling and machine learning tasks.
Evaluates and benchmarks large language models (LLMs) by providing a standardized testing harness for assessing model performance across various metrics and tasks.
Enables fine-tuning of machine learning models using the Transformers Reinforcement Learning (TRL) library, likely focusing on parameter-efficient training techniques.
Generates infrastructure-as-code (IaC) templates and configurations for DevOps engineers, automating cloud infrastructure provisioning and deployment workflows across multiple cloud platforms.
Generates structured code or document outlines by providing a high-level skeletal framework for projects, files, or programming tasks.
Guides developers through the step-by-step process of creating Claude Code skills, providing structured templates and best practices for skill development.
Provides step-by-step coding guidance and best practice recommendations for software development tasks and project implementation.
Generates structured language prompts and interactions for efficient AI model communication using the SGLang framework.
Generates security and compliance code templates, checklists, and best practices for ensuring regulatory adherence and implementing robust security measures in software development projects.
Enables visual analysis and interpretation of images by integrating image recognition capabilities into Claude Code interactions.
Generates code templates and configurations for setting up and using TensorBoard, a visualization tool for machine learning experiments and model performance tracking.
Enables semantic vector search functionality using the Qdrant vector database, allowing efficient similarity-based retrieval of documents or data points.
Quantizes machine learning models using the bitsandbytes library to reduce model size and computational requirements while preserving performance.
Extracts and copies code snippets or specific sections from files or code repositories to the clipboard for easy sharing and reuse.
Implements a code template for developing and integrating Large Language Models (LLMs) using the LitGPT framework, providing structured guidance for LLM implementation.
Trains machine learning models using Simple Policy Optimization (SIMPO), likely for fine-tuning AI models with efficient reinforcement learning techniques.
Enforces safety and content guidelines for AI interactions using NVIDIA's NeMo Guardrails framework, preventing inappropriate or harmful responses.
Generates code templates and boilerplate for machine learning and data science projects using the Axolotl library, streamlining AI model configuration and training workflows.
Automates the training of large language models using Open Reinforcement Learning from Human Feedback (OpenRLHF) techniques, facilitating model fine-tuning and alignment.
Quantizes and compresses machine learning models using the GPTQ (Generative Pre-trained Transformer Quantization) technique to reduce model size and improve inference efficiency.
Trains reinforcement learning models using Gradient-Regularized Policy Optimization (GRPO) for improving agent performance in complex environments.
Extracts, parses, and processes text and data from PDF documents using advanced parsing techniques and libraries.
Tokenizes and preprocesses text using the SentencePiece algorithm, enabling efficient text segmentation and encoding for natural language processing tasks.
Generates a complete RWKV (Receptance Weighted Key Value) neural network architecture implementation with configurable parameters and model structure.
Implements a framework for creating AI systems with predefined behavioral guidelines and ethical constraints to ensure responsible and controlled AI interactions.
Analyzes Excel spreadsheets, extracting insights, performing statistical calculations, and generating data summaries or visualizations.
Filters and prevents potentially harmful or inappropriate content by applying safety checks using the LlamaGuard model before processing or generating text.
Generates optimized PostgreSQL database schema designs based on user-specified requirements and best practices.
Helps developers systematically design and document software features by generating comprehensive feature specifications, user stories, and design artifacts.
Automatically diagnoses and provides targeted solutions for programming errors by analyzing error messages and suggesting precise code fixes.
Analyzes web pages or code for accessibility compliance, identifying potential WCAG violations, semantic structure issues, and recommending improvements for digital inclusivity.
Generates and manages targeted marketing campaign workflows, automating campaign planning, execution, and performance tracking across multiple channels.
Orchestrates and simplifies deployment of machine learning workloads across multiple cloud providers using SkyPilot's advanced multi-cloud management capabilities.
Enables parameter-efficient fine-tuning of machine learning models using PEFT (Parameter-Efficient Fine-Tuning) techniques to adapt pre-trained models with minimal computational resources.
Enables tracing, logging, and monitoring of LangChain applications using LangSmith to track and analyze AI workflow performance and interactions.
Extracts and analyzes visual features, text, and metadata from screenshots using advanced image processing and optical character recognition (OCR) techniques.
Deploys and manages a or GPU-for powered server1less compute resources using Modal, enabling efficient and scalable machine learning and AI worklo.model deployment.
Iteratively reviews and suggests improvements for pull requests by analyzing code changes, providing targeted feedback and potential optimizations.
Generates images using Stable Diffusion AI by converting text prompts into high-quality, customizable visual outputs.
Converts and compresses machine learning models into the GGUF (GPT-Generated Unified Format) with reduced precision to optimize model size and inference performance.
Evaluates and compares performance metrics of different code generation AI models through systematic testing and benchmarking.
Provisions and manages GPU cloud computing resources from Lambda Labs for machine learning and AI development projects.
Enables targeted neural network intervention and manipulation using PyVene, allowing researchers to modify and analyze specific layers or neurons in machine learning models.
Orchestrates and manages complex task workflows by dynamically executing, tracking, and coordinating multiple interdependent tasks with intelligent routing and state management.
Implements Activation-aware Weight Quantization (AWQ) techniques to compress and optimize machine learning models by reducing model size and computational complexity while preserving performance.
Enables remote interpretability of neural networks by providing tools to inspect and analyze model internals using the NNSight library.
Trains a sparse autoencoder neural network by learning compact, sparse representations of input data with minimal information redundancy.
Enables visual question answering and image understanding by leveraging the BLIP-2 multimodal AI model to analyze and describe images with natural language interactions.
Generates custom audio and music using Meta's Audiocraft AI model, allowing users to create unique audio content through text prompts.
Segments and identifies objects in images using Meta AI's Segment Anything Model (SAM), enabling precise image segmentation and object detection.
Generates observability configurations and telemetry setup code for Phoenix web applications, enabling comprehensive monitoring and logging capabilities.
Interprets and visualizes internal representations and activations within transformer neural networks to help understand their decision-making processes and internal mechanisms.
Quantizes machine learning model weights using Hierarchical Quadratic Quantization (HQQ) to reduce model size and computational complexity while preserving performance.
Indexes and analyzes coconut-related data or code repositories, likely providing insights, metrics, or structured information about coconut-related projects or resources.
Evaluates and suggests improvements for code quality, identifying potential refactoring opportunities and best practices in software development.
Generates and configures automated workflow templates for Zapier, enabling quick integration and connection between different apps and services.
Generates IT operations scripts and automation workflows for system administration, infrastructure management, and technical support tasks.
Generates a new Railway.app project template with pre-configured settings and initial project structure for rapid web application deployment.
Generates database schema and migration scripts for a railway-related database system, facilitating structured data management for transportation infrastructure.
Generates configuration and deployment scripts to streamline deploying applications on the Railway platform with minimal manual setup.
Automates deployment of applications to Railway, generating necessary configuration files and deployment scripts for seamless project hosting.
Generates a robust, scalable backend service for railway/train management systems with predefined configurations and boilerplate code.
Analyzes code and documentation to identify potential data privacy risks, recommend GDPR, CCPA, and other regulatory compliance improvements, and suggest specific remediation strategies.
Retrieves and analyzes performance metrics for railway systems, tracking key indicators like train punctuality, route efficiency, and operational reliability.
Retrieves and displays real-time status and service information for railway networks or train lines.
Generates pre-configured project templates and configuration files for deploying applications on Railway, a cloud platform for developers.
Generates boilerplate code and configuration templates for setting up and deploying railway-based web application projects with predefined structures and deployment settings.
Optimizes reasoning processes by reducing wait times and improving computational efficiency during Claude AI code generation and problem-solving tasks.
Configures and sets up a standardized development environment for Railway deployment, likely including project initialization, configuration templates, and deployment scripts.
Generates boilerplate code and configuration templates for railway-related domain models, services, and infrastructure setup in software development projects.
Enables developers to interact with Datadog monitoring and observability services directly from the command line, allowing quick querying, management, and retrieval of metrics, logs, and alerts.
Generates mathematical animations and visualizations using the Manim library, enabling users to create precise, programmatic math graphics and explanatory animations.
Optimizes and generates SEO-friendly content, metadata, and structured data for web pages to improve search engine rankings and visibility.
Generates and interprets Mermaid diagrams, providing expert assistance in creating visual representations of complex systems, workflows, and relationships using Mermaid's markdown-like syntax.
🔌Plugins10
Generates comprehensive Git workflow templates and best practice configurations for managing code repositories and collaborative development processes.
Generates boilerplate code, database schemas, and utility functions for rapidly building and managing Supabase-powered applications with Claude Code.
Automatically generates comprehensive documentation for code files, extracting function descriptions, parameters, return types, and creating structured documentation comments.
Optimizes code performance by identifying and suggesting targeted improvements in algorithmic efficiency, memory usage, and computational complexity.
Generates a professional Next.js project template optimized for Vercel deployment, including pre-configured settings, best practices, and standard project structure.
Generates comprehensive project management templates, workflows, and documentation to streamline team collaboration and project tracking across different stages and domains.
Generates comprehensive security assessments, vulnerability scans, and best practice recommendations for code and infrastructure configurations.
Generates machine learning and AI code templates, providing quick-start boilerplate and scaffolding for data science, model development, and AI project initialization.
Automates DevOps workflows by generating infrastructure-as-code templates, deployment scripts, and CI/CD pipeline configurations across multiple cloud and container platforms.
Generates comprehensive test suites and test cases automatically for different programming languages and project types, streamlining software testing workflows.