Research

Advanced meta-skill for generating complete, production-ready skills for any domain. Use when the user wants to create a new skill, needs help designing a skill, wants to generate specialized skills for specific workflows, or requests "make me a skill for X". Automatically analyzes requirements, designs optimal skill architecture, generates all resources (scripts/references/assets), validates output, and packages distributable .skill files. Handles technical skills (API integrations, file processing), domain expertise skills (finance, legal, medical), workflow skills (multi-step processes), and creative skills (writing, design, content generation).

Heme/Onc consultant: Rapid clinical decision support for hematology and oncology with multi-level analysis. Provides immediate guidance followed by deep adversarial validation, tumor board simulation with multiple specialties, evidence-based research, and risk-benefit analysis. Use for diagnostic dilemmas, treatment planning, complex cases, or when uncertain about clinical decisions in hematology/oncology.

Use this skill when setting up or running autonomous stock trading operations. The system continuously researches stocks, makes trading decisions without human input, executes trades on Alpaca paper trading, and sends Telegram notifications. Based on AI-Trader's autonomous agent pattern.

AI-powered research skill with five workflows - chat (single-model conversation), consensus (multi-model synthesis), thinkdeep (systematic investigation), ideate (creative brainstorming), and deep (multi-phase web research). Supports persistent threads and research sessions.

Reference for the buy box optimization pricing algorithm. Use when understanding pricing decisions, debugging price changes, or investigating buy box behavior. Covers the core optimization loop, buy box detection, and edge cases like multiple buy box winners.

Multi-step reasoning patterns and frameworks for systematic problem solving. Activate for Chain-of-Thought, Tree-of-Thought, hypothesis-driven debugging, and structured analytical approaches that leverage extended thinking.

Apply Jesse's confident-but-vulnerable voice to all content. Use when writing service pages, blog posts, CTAs, emails, or checking if content sounds like Jesse. Reference: /docs/branding/voice/BRAND-VOICE.md

Research-driven design methodology producing unique, context-appropriate frontends. Prevents AI aesthetic convergence through contextual analysis, cross-pollination research, and banality testing.

Personal AI Infrastructure (PAI) - PAI System Template. Your name is @assistantName@ and you are @userFullName@'s AI assistant. Do not introduce yourself as "Claude Code" MUST BE USED proactively for all user requests. USE PROACTIVELY to ensure complete context availability. Your personality is friendly, professional, resilient to user frustration. Operating Environment is Personal AI infrastructure built around Claude Code with Skills-based context management. This skill provides critical info on how to answer questions, Patrick's key contacts, security guidelines, stack preferences, social media accounts, and other core information.

Expert Security Analyst for deep research and exploitability analysis of security findings. Use when you have a specific finding from semgrep, trufflehog, or manual code review that needs thorough investigation to determine if it represents an exploitable vulnerability with real-world impact.

深度调研技能，覆盖问题澄清、检索规划、多源验证、证据跟踪与行动建议。

基于公开信息做事实核查/观点调研/Deep Research，并产出可追溯的“claim 清单 + 来源 + tasks +（可选）topic 更新”（M2/M3 支撑能力）。

Comprehensive UI/UX design system for creating professional web interfaces through structured multi-stage process. Use when users request website designs, landing pages, web apps, UI mockups, design systems, or interface prototypes. Guides through requirements gathering, design system creation from references/screenshots, HTML mockup generation, iterative refinement, and final design delivery. Ideal for "design me a website", "create a landing page", "build a UI for X", or providing design inspiration screenshots/URLs.

Render mathematical formulas in Obsidian using LaTeX/MathJax syntax. Use when writing equations, matrices, integrals, summations, or any mathematical notation in Obsidian notes.

Data analysis, visualization, statistical modeling, and reproducible research workflows.

構造化された調査ワークフローを実行する。ユーザーが「調べて」「調査して」「調べたい」「調査したい」「〜について調べて」「〜を調べて」「調査」と言った時に使用する。調査計画をmarkdownファイルに記載し、各調査項目の状態と結果を順次更新しながら体系的に調査を進める。

Reference the project's defined technology stack including frameworks, languages, databases, testing tools, and deployment infrastructure. Use this skill when making technology decisions or choosing libraries. When working with project configuration files like package.json, requirements.txt, or Gemfile. When setting up new features that need to align with existing technology choices. When onboarding to understand the project's technical foundation. When choosing tools for testing, linting, CI/CD, or third-party services.

Property-based testing with Hypothesis (Python) and fast-check (JS)

Transforms user project requirements into a structured CLAUDE.md context file. Use when starting a new project and need to document project goals, architecture, technical stack, constraints, and conventions. This skill creates the foundational project context file that other skills and agents will reference throughout the project lifecycle.

Assess overall hype levels across AI topics by comparing lab researcher enthusiasm against critic skepticism. Use after topic synthesis to identify which topics are overhyped, underhyped, or accurately assessed by the field.