探索我们完整的 Claude 技能集合,扩展 AI 代理的能力。
Build, fit, and validate complex Bayesian probabilistic models using the PyMC Python library and modern MCMC sampling techniques.
Performs comprehensive single-cell RNA-seq analysis workflows including quality control, clustering, and trajectory inference.
Implements professional machine learning workflows in Python using scikit-learn for classification, regression, clustering, and data preprocessing.
Manage large-scale N-dimensional arrays with chunking, compression, and cloud-native storage for scientific computing workflows.
Manages microscopy data and metadata via the OMERO Python API for scientific imaging and high-content screening workflows.
Converts chemical structures into high-quality numerical features for molecular machine learning and cheminformatics tasks.
Manages annotated data matrices for single-cell genomics and large-scale biological datasets using the AnnData Python framework.
Diagnoses GitHub Actions workflow failures by extracting and analyzing error logs through the GitHub CLI.
Empowers AI agents to conduct scientific research by providing standardized access to over 600 bioinformatics, cheminformatics, and genomics tools.
Implements durable cross-namespace communication using Temporal Nexus for distributed microservices.
Analyzes biological data including sequences, phylogenetic trees, and microbial community diversity using the scikit-bio Python library.
Accelerates data processing and analysis using the high-performance Polars DataFrame library for Python and Rust.
Configures Hugo module mounts to aggregate documentation from multiple directories into a single, unified static site.
Performs real-time, AI-powered web searches and scientific literature discovery using Perplexity models via OpenRouter.
Queries the NHGRI-EBI GWAS Catalog to retrieve genetic variant associations, study metadata, and comprehensive summary statistics for genomic research.
Queries the ChEMBL database for bioactive molecules, drug targets, and medicinal chemistry data to support drug discovery research.
Automates laboratory workflows and hardware control using a hardware-agnostic Python interface for liquid handlers and analytical equipment.
Optimizes build systems by implementing scalable pattern rules, automatic variables, and dynamic file discovery to replace repetitive manual Makefile entries.
Generates structured product requirements documents and feature specifications from initial problem statements or feature ideas.
Decomposes complex development requests into actionable, trackable milestones with real-time progress syncing.
Manages iMessage and SMS communications directly through the terminal and Claude on macOS.
Facilitates Nintendo 64 game reverse engineering by managing project setup, build systems, and libultra identification workflows.
Streamlines Hugo site development by providing patterns for custom shortcodes, markdown render hooks, and complex content structures.
Provides expert guidance and implementation patterns for safely updating Temporal workflows without breaking long-running executions.
Manages development state by creating and verifying workflow checkpoints to track progress and regressions.
Audits and refactors Claude Code agent definitions to ensure concise prompts, proper frontmatter, and adherence to modern plugin standards.
Automates comprehensive end-to-end testing for the Kosmos autonomous AI scientist project across local and cloud LLM providers.
Automates the Git workflow to commit changes and trigger site deployments via Vercel.
Manages and structures project context and session memory to ensure high-fidelity AI performance across multiple interactions.
Implements and manages communication patterns for Temporal workflows using signals, queries, and updates.
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