探索我们完整的 Claude 技能集合,扩展 AI 代理的能力。
Develops and bundles sophisticated, multi-component React artifacts for Claude.ai using shadcn/ui and Tailwind CSS.
Generates detailed, step-by-step implementation plans using TDD and DRY principles before executing code changes.
Integrates Qdrant vector database with Java applications using Spring Boot and LangChain4j for high-performance semantic search and RAG.
Implements a standardized configuration pattern for Claude Code plugins using YAML frontmatter and markdown state files.
Analyzes your recent coding sessions to identify skill gaps, recommend tailored learning resources from HackerNews, and deliver personalized growth reports via Slack.
Styles digital artifacts with professional, curated color palettes and typography pairings to ensure visual consistency.
Accelerates quantum circuit development, hardware transpilation, and algorithm execution using the industry-standard Qiskit SDK.
Enforces a rigorous, verification-first framework for processing code review feedback without performative agreement or blind implementation.
Builds interactive, bespoke data visualisations with fine-grained SVG control using the d3.js library.
Facilitates high-quality code reviews by dispatching specialized AI subagents to analyze changes and catch technical issues before they reach production.
Identifies high-quality business leads and generates personalized outreach strategies by analyzing your product and target market.
Manages comprehensive document control systems and regulatory compliance reviews for medical device and highly regulated organizations.
Implements a disciplined, root-cause-first framework for software debugging to eliminate guesswork and prevent regression.
Performs state-of-the-art diffusion-based molecular docking to predict 3D binding poses of ligands to protein targets.
Automates the process of dispatching specialized subagents to review code changes and identify technical issues before merging.
Facilitates computational molecular biology tasks including sequence manipulation, NCBI database access, and structural bioinformatics analysis.
Automates protein testing and validation by connecting computational designs to cloud-based laboratory experiments and optimization tools.
Manipulates, analyzes, and visualizes phylogenetic trees with advanced support for evolutionary event detection and NCBI taxonomy integration.
Performs rigorous statistical modeling, econometric analysis, and hypothesis testing using the Python statsmodels library.
Implements advanced prompt design techniques to maximize LLM performance, reliability, and token efficiency across all interactions.
Implements robust saga patterns for managing distributed transactions and long-running business processes across microservices.
Processes and analyzes high-throughput sequencing data (NGS) to generate publication-quality visualizations and quality control metrics.
Generates publication-quality charts and scientific visualizations using Python's foundational plotting library.
Converts diverse file formats including PDF, Word, and images into clean, LLM-optimized Markdown documents.
Enforces a strict evidence-first protocol by requiring verifiable command output before any task can be marked as finished or successful.
Enforces a strict evidence-based workflow requiring real-time command execution and output verification before any task is marked as complete.
Enables seamless programmatic access to the RCSB Protein Data Bank for searching, retrieving, and analyzing 3D molecular structures.
Retrieves historical context, user preferences, and coding patterns from past Claude Code sessions to provide personalized assistance.
Integrates the Hugging Face Transformers library for seamless implementation of pre-trained models across NLP, vision, and audio domains.
Creates professional, publication-quality research posters in LaTeX using advanced layout systems and integrated scientific schematics.
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