探索我们完整的 Claude 技能集合,扩展 AI 代理的能力。
Analyzes SEC filings and financial statements using advanced EdgarTools integration for financial data extraction.
Automates high-throughput sequencing data analysis, from BAM file processing and quality control to publication-ready visualizations like heatmaps and profile plots.
Automates the processing, summarization, and statistical analysis of local text files within the workspace.
Develops, simulates, and optimizes quantum circuits for execution on diverse quantum hardware and high-performance simulators.
Generates, refines, and tests scientific hypotheses from datasets and literature using large language models.
Streamlines computational molecular biology tasks including sequence analysis, NCBI database integration, and structural protein modeling.
Generates professional, programmatic PDF documents including invoices, complex reports, charts, and interactive forms using Python.
Performs advanced biological computation, sequence analysis, and programmatic access to NCBI databases using Python.
Generates professional, programmatic PDF documents including reports, invoices, charts, and barcodes using the ReportLab library.
Manage and optimize both MongoDB and PostgreSQL environments, from schema design and complex querying to performance tuning and production administration.
Provides a systematic workflow for debugging, testing, and extending the code-forge CLI application using Rust-based build and verification patterns.
Converts diverse file formats including PDFs, Office docs, images, and audio into LLM-optimized Markdown.
Streamlines the implementation and management of Pinecone vector databases for production-grade AI and RAG applications.
Generates comprehensive, validated implementation plans and strategic roadmaps for complex development tasks.
Manages local and self-hosted vector embeddings for RAG-based AI applications and semantic search.
Manipulates PDF files programmatically through text extraction, document creation, and advanced file operations.
Provides instant, citation-backed access to the Dungeons & Dragons 5th Edition System Reference Document for rules, spells, and mechanics.
Infers large-scale gene regulatory networks from transcriptomics data using scalable machine learning algorithms like GRNBoost2 and GENIE3.
Manages both relational and document-oriented databases with expert guidance on schema design, query optimization, and production administration.
Simplifies molecular biology tasks using the Biopython library for sequence analysis, structural bioinformatics, and database integration.
Synchronizes project documentation with real-world code implementations and API changes to ensure accuracy.
Infers gene regulatory networks from transcriptomics data using scalable machine learning algorithms like GRNBoost2 and GENIE3.
Optimizes the process of debugging and extending CLI commands within the code-forge environment through systematic workflows.
Simplifies mass spectrometry data analysis by providing Pythonic access to the OpenMS library for proteomics and metabolomics workflows.
Packages entire code repositories into single, AI-friendly files optimized for large language model context.
Enhances content analysis and security modeling by intelligently selecting from over 240 specialized Fabric CLI patterns.
Builds high-quality Model Context Protocol (MCP) servers to integrate external APIs and services with AI agents.
Processes and analyzes complex physiological signals including ECG, EEG, EDA, and respiratory patterns for psychophysiological research.
Analyzes proteomics and metabolomics data using the OpenMS library for comprehensive mass spectrometry workflows.
Simplifies molecular cheminformatics workflows by providing a Pythonic abstraction layer over RDKit for drug discovery and molecular analysis.
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