모든 Claude 스킬 탐색

DrugBank Database

16

Accesses and analyzes comprehensive pharmaceutical data from DrugBank to perform drug discovery research, interaction analysis, and target identification.

Biomni

16

Executes autonomous multi-step biomedical research tasks including genomics analysis, drug discovery, and clinical interpretation.

Terraform Infrastructure Module Library

16

Builds production-ready, reusable Terraform modules for AWS, Azure, and GCP following industry-standard infrastructure-as-code best practices.

gRPC Key-Value Store

16

Implements high-performance gRPC-based key-value store services in Python using protocol buffers and standardized implementation workflows.

Medchem Molecular Filters

16

Applies medicinal chemistry rules and structural alerts to triage and prioritize compound libraries for drug discovery workflows.

Raman Fitting

16

Provides specialized guidance and implementation patterns for analyzing and curve-fitting peaks in Raman spectroscopy data.

GPT-2 Code Golf

16

Implements minimal GPT-2 inference and transformer architectures within strict code size constraints.

MIPS Interpreter Implementation

16

Implements MIPS CPU interpreters and emulators capable of executing compiled ELF binaries through structured architectural guidance and iterative development.

Extract Moves from Video

16

Extracts typed commands and sequential text inputs from screen recordings and terminal sessions using optimized OCR workflows.

Bayesian Network Recovery and Modification

16

Guides the recovery of Directed Acyclic Graph structures from observational data, parameter estimation, and the implementation of causal interventions.

Scheme-like Metacircular Evaluator

16

Guides the development of self-interpreting Scheme-like evaluators through incremental implementation and systematic multi-level debugging.

Largest Eigenvalue Optimization

16

Optimizes numerical linear algebra computations for finding eigenvalues of small dense matrices through direct LAPACK integration and overhead reduction.

Pymoo Optimization

16

Implements advanced multi-objective and many-objective optimization frameworks using state-of-the-art evolutionary algorithms and Pareto analysis.

Exploratory Data Analysis Toolkit

16

Automates comprehensive statistical analysis and visual profiling for diverse datasets to uncover hidden patterns, anomalies, and actionable insights.

ReLU Model Extraction

16

Extracts internal weight matrices and biases from black-box ReLU neural networks using input-output query strategies and functional equivalence testing.

ELF Binary Data Extraction

16

Parses and extracts structured data from ELF binary files by validating headers, mapping segments, and ensuring accurate data type conversion.

Torch Tensor Parallelism

16

Implements distributed tensor parallel operations in PyTorch, focusing on efficient weight sharding and collective operations across multiple GPUs.

Benchling Scientific Integration

16

Automates Benchling R&D platform operations including biological sequence management, inventory tracking, and electronic lab notebook (ELN) workflows.

Collision-Zone Thinking

16

Drives breakthrough innovation by forcing unrelated conceptual domains to collide to discover emergent architectural and logic patterns.

System Prompt Writer

16

Guides the creation and optimization of high-signal system prompts for AI agents following Anthropic's context engineering principles.

Multi-Cloud Architecture Framework

16

Architects cloud-agnostic systems and facilitates cross-provider service selection across AWS, Azure, and GCP.

Chess Best Move

16

Analyzes chess board images to detect piece positions, validate board legality, and determine optimal moves using computer vision and engine analysis.

Headless Terminal

16

Implements programmatic terminal interfaces to control shell sessions through terminal emulation and pseudo-terminal wrappers.

GWAS Catalog Explorer

16

Queries the NHGRI-EBI GWAS Catalog for genetic variants, SNP-trait associations, and summary statistics to support genetic epidemiology research.

Torch Tensor Parallelism

16

Implements distributed tensor-parallel linear layers in PyTorch to enable training of models that exceed single-device memory limits.

Vulnerable Secret Extraction

16

Extracts hidden secrets, keys, and flags from protected or obfuscated binaries through systematic reverse engineering and analysis techniques.

Windows 3.11 VM Setup

16

Deploys legacy Windows virtual machines in QEMU with integrated web-based remote access via noVNC and nginx.

Statistical Analysis Toolset

16

Performs comprehensive hypothesis testing, regression analysis, and Bayesian statistics with automated assumption checking and APA-style reporting.

Database WAL Recovery

16

Provides technical procedures and systematic workflows for recovering data from corrupted, encrypted, or inaccessible SQLite Write-Ahead Log (WAL) files.

PyTorch Lightning

16

Organizes and scales PyTorch deep learning workflows by automating training loops, hardware orchestration, and boilerplate code.