AIエージェントの能力を拡張するClaudeスキルの完全なコレクションをご覧ください。
Organizes PyTorch code into scalable, boilerplate-free modules and automates complex deep learning training workflows.
Conducts comprehensive security audits, threat modeling, and compliance verification to harden software against vulnerabilities.
Integrates programmatic data operations with Glide Big Tables using REST API v2 and the official TypeScript SDK.
Accesses and analyzes global public statistical data from authoritative sources via the Data Commons knowledge graph.
Implements rigorous quality assurance strategies, test plans, and acceptance criteria validation for high-reliability software development.
Automates the installation, configuration, and maintenance of long-term SQLite memory for Claude Code sessions.
Diagnoses and resolves installation, configuration, and connectivity issues for the ClaudeMemory long-term memory system.
Queries and analyzes global clinical trial data from the ClinicalTrials.gov API v2 for medical research and patient matching.
Discovers unique and defensible market positions using eight proven strategic frameworks to differentiate brands in competitive landscapes.
Orchestrates and automates multi-step development workflows with integrated task tracking and backlog synchronization.
Automates the creation, updating, and verification of Claude Code skills and subagent configurations to ensure consistency.
Analyzes sales call transcripts using the POWERFUL framework to extract actionable deal intelligence, next steps, and opportunity ratings.
Performs comprehensive exploratory data analysis and generates detailed reports for over 200 scientific file formats.
Facilitates machine learning for drug discovery using a PyTorch-based toolkit for molecular property prediction, protein modeling, and retrosynthesis.
Performs robust differential gene expression analysis on bulk RNA-seq data using the PyDESeq2 framework.
Transforms high-level feature requirements into atomic, testable, and well-structured backlog tasks following Spec-Driven Development principles.
Guides developers in building high-quality Model Context Protocol (MCP) servers to integrate external APIs and services with LLMs.
Automates the lifecycle of domain-specific subagents by enforcing frontmatter standards and rigorous quality control protocols.
Performs constraint-based metabolic modeling and systems biology simulations using the COBRApy Python library.
Analyzes biological data using specialized tools for sequence manipulation, phylogenetics, and microbial ecology metrics.
Generates structured, executable Markdown project plans based on intake files and predefined directory protocols.
Enables high-performance data manipulation and analysis using the Polars DataFrame library's lightning-fast expression API.
Qualifies and tiers sales accounts by analyzing buying signals, ICP fit, and growth indicators to prioritize high-potential prospects.
Manages Trello boards, lists, and cards using natural language commands within Claude Code.
Analyzes system hardware to generate optimized strategic recommendations for computationally intensive scientific and machine learning tasks.
Standardizes the creation of research papers using IMRAD structure, professional citation styles, and field-specific terminology.
Evaluates and scores multiple code implementations using a standardized five-criteria framework to identify optimal software solutions.
Performs comprehensive single-cell RNA-seq analysis workflows including quality control, clustering, and cell type annotation.
Generates distinctive, production-grade frontend interfaces with high-quality design aesthetics that avoid generic AI patterns.
Implements production-grade hybrid search combining semantic vector similarity with keyword matching using PostgreSQL and PGVector.
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