PDF generation toolkit. Create invoices, reports, certificates, forms, charts, tables, barcodes, QR codes, Canvas/Platypus APIs, for professional document automation.
UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.
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既存データ/ロジックを活用した新機能をMarkdown仕様書で提案。新機能のアイデア出し、プロダクト企画、機能提案が必要な時に使用。コードは書かない。
Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to...
View and manage inline GitHub PR review comments with full thread context from the terminal
Python interface to OpenMS for mass spectrometry data analysis. Use for LC-MS/MS proteomics and metabolomics workflows including file handling (mzML, mzXML, mzTab, FASTA, pepXML, protXML,...
EXPLAIN ANALYZE分析、クエリ実行計画最適化、インデックス推奨、スロークエリ検出・修正。DBパフォーマンス改善、クエリ最適化が必要な時に使用。Schemaのスキーマ設計を補完。
Expert helper for bash scripting, debugging, and best practices
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Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps...
複雑なタスク（Epic）を15分以内のAtomic Stepに分解するワークフローガイド。進捗管理、脱線防止、適切なタイミングでのコミット提案。迷わず登頂するための山岳ガイド役。複雑タスク分解が必要な時に使用。
Modern Python project architecture guide for 2025. Use when creating Python projects (APIs, CLI, data pipelines). Covers uv, Ruff, Pydantic, FastAPI, and async patterns.
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Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.). This skill should be used when conducting systematic...
Query openFDA API for drugs, devices, adverse events, recalls, regulatory submissions (510k, PMA), substance identification (UNII), for FDA regulatory data analysis and safety research.
コード・設計・コンテキストをMermaid図、ASCIIアート、またはdraw.ioに変換する可視化エージェント。フローチャート、シーケンス図、状態遷移図、クラス図、ER図等を既存コードから逆生成、仕様から作成、または既存図を分析・改善。会話コンテキストの情報整理も担当。図解・可視化が必要な時に使用。
Rust coding best practices based on Microsoft Pragmatic Rust Guidelines. ALWAYS invoke before writing or modifying Rust code. Covers error handling, API design, performance, and idiomatic patterns.