Research

Generate comprehensive scientific research-style documentation for completed coding projects. Use when the user requests project documentation, a technical breakdown, a study paper, a lecture document, or wants to understand everything about a project they just built. Triggers include phrases like "document this project," "create a study paper," "explain everything we did," "write up the full breakdown," "scientific documentation," or "I want to learn from this project." Produces formal Word documents (.docx) with academic structure, beginner-friendly explanations, and exhaustive code analysis.

Use when creating or improving educational concept files - includes curriculum research for new concepts, always updates translations before validation

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".

Conducts user experience research and analysis to inform design decisions. Reviews first-party and third-party user data, analyzes industry trends from UX and visual design perspectives, and plans user research studies. Creates personas, customer segments, design principles, design roadmaps, and research discussion guides.

機能フラグ（Feature Flag/Feature Toggle）による段階的リリースとA/Bテスト実装スキル。リスク管理とカナリアリリースを可能にし、本番環境での安全な機能展開を実現します。Anchors:• Feature Toggles (Pete Hodgson - Martin Fowler blog) / 適用: フラグ設計パターン / 目的: Release/Experiment/Ops/Permission Togglesの適切な使い分け• Continuous Delivery (Jez Humble) / 適用: デプロイ戦略 / 目的: デプロイと機能リリースの分離による安全性向上Trigger:Use when implementing feature flags, feature toggles, A/B testing, gradual rollouts, canary releases, or managing feature lifecycles.feature flag, feature toggle, A/B testing, canary release, gradual rollout, dark launch, percentage rollout, kill switch

Guides scientific hypothesis development and testing methodology. Use when formulating research questions, developing testable hypotheses, designing experiments, or evaluating research approaches. Triggers on phrases like "hypothesis", "test if", "experiment design", "research question", "how would I test", "is it true that".

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

Game building mechanics case studies and decision frameworks. Use when designing building systems, evaluating trade-offs, or learning from existing games. Reference-only skill with detailed analysis of Fortnite, Rust, Valheim, Minecraft, No Man's Sky, and Satisfactory building systems.

Use xAI Grok API with Agent Tools for real-time web and X (Twitter) search and synthesis. Requires XAI_API_KEY.

Master quick plotting and interactive visualization with hvPlot. Use this skill when creating basic plots (line, scatter, bar, histogram, box), visualizing pandas DataFrames with minimal code, adding interactivity and hover tools, composing multiple plots in layouts, or generating publication-quality visualizations rapidly.

This skill enhances Claude's ability to conduct web research and translate findings into actionable GitHub issues. It automates the process of extracting key information from web search results and formatting it into a well-structured issue, ready for team action. Use this skill when you need to research a topic and create a corresponding GitHub issue for tracking, collaboration, and task management. Trigger this skill by requesting Claude to "research [topic] and create a ticket" or "find [information] and generate a GitHub issue".

Router for 3D building game mechanics in Three.js. Use when creating survival games, sandbox builders, base builders, or any game with player-constructed structures. Routes to 9 specialized skills for performance, physics, multiplayer, terrain, decay, UX, platform support, and design reference. Start here for building mechanics projects.

Generate comprehensive API endpoint documentation from Bruno (.bru) files by mapping requests to a Django4Lyfe/Diversio-style backend implementation (Django REST Framework or Django Ninja), including auth/permissions, multi-tenant filtering, request/response schemas, and line-numbered code references. Use for single endpoints, directory scans of .bru files, or when writing docs to a specific output path.

Use Exa AI for neural search, content retrieval, and automated deep research. Requires EXA_API_KEY.

This skill automates the setup of machine learning experiment tracking using tools like MLflow or Weights & Biases (W&B). It is triggered when the user requests to "track experiments", "setup experiment tracking", "initialize MLflow", or "integrate W&B". The skill configures the necessary environment, initializes the tracking server (if needed), and provides code snippets for logging experiment parameters, metrics, and artifacts. It helps ensure reproducibility and simplifies the comparison of different model runs.

Use this skill for requests related to web research; it provides a structured approach to conducting comprehensive web research.

R programming for data analysis, visualization, and statistical workflows. Use when working with R scripts (.R), Quarto documents (.qmd), RMarkdown (.Rmd), or R projects. Covers tidyverse workflows, ggplot2 visualizations, statistical analysis, epidemiological methods, and reproducible research practices.

Analyze Nixtla baseline forecasting results (sMAPE/MASE on M4 or other benchmark datasets). Use when the user asks about baseline performance, model comparisons, or metric interpretation for Nixtla time-series experiments. Trigger with "baseline review", "interpret sMAPE/MASE", or "compare AutoETS vs AutoTheta".

Skill creation guidelines and protocols for high-fidelity, token-efficient specialized capabilities. Provides routing patterns, component selection criteria, and skill structure templates. Includes progressive disclosure patterns for routing vs reference separation. Scope: skill creation, skill structure, routing logic, template patterns. Excludes: agent creation, command creation (handled by component-specific skills). Triggers: skill, create a skill, edit skill, validate skill, new skill.

Research and persist coding documentation using Perplexity AI. Use when user asks about documentation, APIs, frameworks, libraries, best practices, coding patterns, or needs to research technical topics. Always checks existing research first.