Research

This skill empowers Claude to construct recommendation systems using collaborative filtering, content-based filtering, or hybrid approaches. It analyzes user preferences, item features, and interaction data to generate personalized recommendations. Use this skill when the user requests to build a recommendation engine, needs help with collaborative filtering, wants to implement content-based filtering, or seeks to rank items based on relevance for a specific user or group of users. It is triggered by requests involving "recommendations", "collaborative filtering", "content-based filtering", "ranking items", or "building a recommender".

The differential-region-analysis pipeline identifies genomic regions exhibiting significant differences in signal intensity between experimental conditions using a count-based framework and DESeq2. It supports detection of both differentially accessible regions (DARs) from open-chromatin assays (e.g., ATAC-seq, DNase-seq) and differential transcription factor (TF) binding regions from TF-centric assays (e.g., ChIP-seq, CUT&RUN, CUT&Tag). The pipeline can start from aligned BAM files or a precomputed count matrix and is suitable whenever genomic signal can be summarized as read counts per region.

Start a research project with intelligent agent orchestration

Use when implementation is complete and tests pass - consolidates research, plan, implementation, and PR workflow (Z01-Z05) into timestamped dev log, cleans up all temporary files, and generates PR description

Creates detailed implementation plan from validated research. Produces task breakdown with dependencies.

MANDATORY invocation for ALL LLM-related work. Invoke immediately when: - ANY mention of model names, IDs, or versions - ANY configuration of AI providers or APIs - ANY defaults/constants for LLM settings - ANY prompt engineering or modification - ANY discussion of model capabilities or features - ANY changes to AI-related dependencies - Reading/writing .env files with AI config - Modifying aiProviders.ts, prompts.ts, or similar - Reviewing AI-related pull requests - Debugging LLM integration issues CRITICAL: Training data lags reality by months. ALWAYS research first. Use WebSearch, Exa MCP, or Gemini CLI before making ANY LLM decisions.

Creates conceptual designs that illustrate design strategy and approach. Leverages research insights and design briefs to develop UI concepts, mood boards, and interactive prototypes. Translates strategic direction into visual design explorations that communicate intent and gather feedback.

AIのハルシネーション（幻覚・誤情報生成）を防止するスキル。プロンプトレベル、パラメータレベル、検証レベルの3層防御により、信頼性の高いAI出力を実現。Anchors:• Thinking, Fast and Slow (Daniel Kahneman) / 適用: System 1/2思考分離 / 目的: 直感的推測の抑制と論理的検証の強制• Design by Contract (Bertrand Meyer) / 適用: 入出力契約設計 / 目的: 事前条件・事後条件・不変条件による出力保証• The Pragmatic Programmer / 適用: 実践的改善と品質維持 / 目的: 段階的検証とフィードバックループ構築Trigger:Use when preventing AI hallucinations, ensuring factual accuracy, requiring verifiable outputs, or implementing truth constraints.hallucination prevention, fact-checking, verification, accuracy, factual output, citation required, ground truth, temperature tuning

Developer reporting skill for work documentation and communication. Use when writing journals, devlogs, status updates (22A/22B), progress reports, or documenting development work. Generates reports from git history or manual input.

This skill provides a complete and streamlined workflow for performing methylation variability and epigenetic heterogeneity analysis from whole-genome bisulfite sequencing (WGBS) data. It is designed for researchers who want to quantify CpG-level variability across biological samples or conditions, identify highly variable CpGs (HVCs), and explore epigenetic heterogeneity.

スクラム・カンバンの実践知識とアジャイルプロジェクト管理の体系的手法。ジェフ・サザーランドのスクラムフレームワークを基盤として、イテレーティブ開発とチームの自己組織化を実現します。**アンカー（Anchors）**:• Agile Estimating and Planning（Mike Cohn）/ 適用: 見積もりと計画 / 目的: スプリント計画とイテレーション管理• Scrum Guide（Jeff Sutherland, Ken Schwaber）/ 適用: スクラムフレームワーク / 目的: チーム運営とイテレーション実現**トリガー（Trigger）**:- プロジェクト初期化時のアジャイル体制構築- スプリント計画ミーティング開始時- ユーザーストーリー作成・修正時- バックログ優先順位付けセッション実施時- スプリント終了時のレトロスペクティブ- チーム編成や役割変更の決定時📖 参照書籍:- 『Agile Estimating and Planning』（Mike Cohn）: 見積もりと計画- 『Scrum Guide』（Jeff Sutherland, Ken Schwaber）: スクラムフレームワーク📚 リソース参照:- `references/Level1_basics.md`: レベル1の基礎ガイド- `references/Level2_intermediate.md`: レベル2の実務ガイド- `references/Level3_advanced.md`: レベル3の応用ガイド- `references/Level4_expert.md`: レベル4の専門ガイド- `references/legacy-skill.md`: 旧SKILL.mdの全文- `scripts/log_usage.mjs`: 使用記録・自動評価スクリプト- `scripts/validate-skill.mjs`: スキル構造検証スクリプト

Set up your personal productivity style and preferences. Use when you first install office or want to customize your workflow patterns.

Use Perplexity Sonar API for real-time, citation-backed answers. Ideal for up-to-date information and quick synthesis. Requires PERPLEXITY_API_KEY

Svelte 5 syntax reference. Use when writing ANY Svelte component. Svelte 5 uses runes ($state, $derived, $effect, $props) instead of Svelte 4 patterns. Training data is heavily Svelte 4—this skill prevents outdated syntax.

Auto-applies MECE/BFO framework (thesis, Mermaid TD/LR, numbered sections, Ground Truth) to ANY .md file creation.

依存関係の可視化、循環依存検出、安定度評価を体系化するスキル。アーキテクチャの健全性を測定し、改善優先度を整理する。Anchors:• Clean Architecture / 適用: 安定依存の原則 / 目的: 依存方向の評価• Refactoring / 適用: 依存解消パターン / 目的: 循環依存の改善• Graph Algorithms / 適用: 強連結成分 / 目的: 循環依存の検出Trigger:Use when analyzing module dependencies, detecting circular references, calculating stability metrics, or planning dependency refactoring.dependency graph, circular dependency, stability metrics, coupling, sdp violation

Document REST APIs with OpenAPI/Swagger specifications, endpoint documentation, authentication, error handling, and SDK guides. Use for API reference docs, Swagger specs, and client library documentation. Triggers: api docs, openapi, swagger, endpoint documentation, rest api, api reference, sdk documentation, api specification, document api, api endpoints.

Master geographic and mapping visualizations with GeoViews. Use this skill when creating interactive maps, visualizing point/polygon/line geographic data, building choropleth maps, performing spatial analysis (joins, buffers, proximity), working with coordinate reference systems, or integrating tile providers and basemaps.

Search the web for content matching a query with AI-powered semantic search. Use for finding relevant web pages, research papers, news articles, code repositories, or any web content by meaning rather than just keywords.

CSP (Custom Shaders Patch) Lua API reference for Assetto Corsa modding. Use when working with ac.*, ui.*, render.*, physics.* APIs or any CSP Lua code.