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。
Query, visualize, and download large-scale public cancer imaging datasets from the National Cancer Institute.
Facilitates programmatic access to 110M+ chemical compounds and bioactivity data via the PubChem API and PubChemPy.
Manages and optimizes MCP broker states by purging historical messages and pruning inactive agent registrations.
Plans and executes complex system migrations across databases, APIs, and frameworks with safety-first rollback strategies.
Provides a unified Python interface to over 40 bioinformatics web services and databases for integrated biological data analysis.
Discovers, installs, and executes Claude Code skills from local marketplaces and the web in a single automated step.
Simplifies digital pathology workflows by automating tissue detection and tile extraction from gigapixel whole slide images (WSI).
Audits and secures Claude Code configurations by identifying vulnerabilities, hardcoded keys, and prompt injection risks.
Automates scientific citation verification and reference formatting using authoritative databases like PubMed and CrossRef.
Generates and maintains Requirements Traceability Matrices (RTM) to ensure 100% requirement coverage and project gate readiness.
Aggregates project activity logs and decisions to provide Claude with immediate context for any task.
Generates publication-ready clinical decision support documents and biomarker-stratified cohort analyses for pharmaceutical and clinical research.
Decomposes product requirements into granular, trackable implementation tasks and comprehensive test plans within your documentation.
Provides programmatic access to the ChEMBL database for bioactive molecule research and medicinal chemistry.
Automates cloud-based quantum chemistry workflows, molecular property predictions, and protein-ligand modeling via a unified Python API.
Automates the creation of standardized Git commit messages following the Conventional Commits v1.0.0 specification by analyzing code diffs.
Runs functional test harnesses against Claude Code skills to validate detection accuracy, catch regressions, and calibrate finding severity.
Automates protein sequence optimization and experimental validation through cloud-based laboratory assays and API integration.
Queries the Monarch Initiative knowledge graph to explore complex disease-gene-phenotype associations across multiple species.
Automates your daily briefing by syncing tasks across Asana, GitHub, and Slack into your Obsidian vault.
Monitors the health and activity of your multi-agent broker system through real-time dashboards of peers, channels, and messages.
Automates the formatting and export of scientific papers into journal-ready LaTeX, DOCX, and Markdown formats.
Performs advanced time series machine learning tasks including classification, forecasting, and anomaly detection using a scikit-learn compatible interface.
Streamlines the development, deployment, and management of serverless bioinformatics pipelines using the LatchBio SDK and cloud infrastructure.
Automates Claude Code execution by handling usage limits and intelligently retrying sessions until completion.
Processes and analyzes high-performance genomic interval data using Rust-powered algorithms and Python bindings.
Generates publication-ready methods and results sections for clinical prediction and machine learning papers using TRIPOD+AI standards.
Automates comprehensive code reviews by validating implementations against project-specific rules, Flutter standards, and strict clean-code patterns.
Automates a comprehensive 12-phase verification loop for Django applications to ensure code quality, security, and deployment readiness.
Accesses and analyzes comprehensive pharmaceutical data from DrugBank for drug discovery, pharmacology research, and interaction analysis.
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