Meta-Pattern Recognition
Spot patterns appearing in 3+ domains to find universal principles
Scale Game
Test at extremes (1000x bigger/smaller, instant/year-long) to expose fundamental truths hidden at normal scales
Simplification Cascades
Find one insight that eliminates multiple components - "if this is true, we don't need X, Y, or Z"
When Stuck - Problem-Solving Dispatch
Dispatch to the right problem-solving technique based on how you're stuck
remix-icon
Guide for implementing RemixIcon - an open-source neutral-style icon library with 3,100+ icons in outlined and filled styles. Use when adding icons to applications, building UI components, or designing interfaces. Supports webfonts, SVG, React, Vue, and direct integration.
repomix
Guide for using Repomix - a powerful tool that packs entire repositories into single, AI-friendly files. Use when packaging codebases for AI analysis, generating context for LLMs, creating codebase snapshots, analyzing third-party libraries, or preparing repositories for security audits.
shadcn-ui
Guide for implementing shadcn/ui - a collection of beautifully-designed, accessible UI components built with Radix UI and Tailwind CSS. Use when building user interfaces, adding UI components, or implementing design systems in React-based applications.
shell-scripting
Specialized knowledge of Bash and Zsh scripting, shell automation, command-line tools, and scripting best practices. Use when the user needs to write, debug, or optimize shell scripts or work with command-line tools.
shopify
Guide for implementing Shopify apps, extensions, themes, and integrations using GraphQL/REST APIs, Shopify CLI, Polaris UI, and various extension types (Checkout, Admin, POS). Use when building Shopify apps, implementing checkout extensions, customizing admin interfaces, creating themes with Liquid, or integrating with Shopify's APIs.
skill-creator
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
tailwindcss
Guide for implementing Tailwind CSS - a utility-first CSS framework for rapid UI development. Use when styling applications with responsive design, dark mode, custom themes, or building design systems with Tailwind's utility classes.
template-skill
Replace with description of the skill and when Claude should use it.
test-expert
Testing methodologies, test-driven development (TDD), unit and integration testing, and testing best practices across multiple frameworks. Use when the user needs to write tests, implement TDD, or improve test coverage and quality.
turborepo
Guide for implementing Turborepo - a high-performance build system for JavaScript and TypeScript monorepos. Use when setting up monorepos, optimizing build performance, implementing task pipelines, configuring caching strategies, or orchestrating tasks across multiple packages.
code-reviewer
进行系统化的代码审查，检查代码质量、安全性和性能。当用户要求审查代码、review 或检查代码时使用
deploy-staging
将当前分支部署到测试环境。当用户要求部署、发布到测试或在 staging 环境测试时使用
git-commit-formatter
生成符合 Conventional Commits 规范的 Git 提交信息。当用户要求生成提交、创建 commit 或写提交信息时使用
react-component-generator
生成符合项目规范的 React 组件。当用户要求创建组件、新建 React 组件或生成组件文件时使用
api-development
FastAPI, REST APIs, GraphQL, data service design, and API best practices
big-data
Apache Spark, Hadoop, distributed computing, and large-scale data processing for petabyte-scale workloads
career-growth
Portfolio building, technical interviews, job search strategies, and continuous learning
cicd-pipelines
GitHub Actions, GitLab CI, Jenkins, and automated deployment pipelines
cloud-platforms
AWS, GCP, Azure data platforms, infrastructure as code, and cloud-native data solutions
containerization
Docker, Kubernetes, container orchestration, and cloud-native deployment for data applications
data-engineering
Data pipeline architecture, ETL/ELT patterns, data modeling, and production data platform design
data-warehousing
Snowflake, BigQuery, Redshift, dimensional modeling, and modern data warehouse architecture
deep-learning
PyTorch, TensorFlow, neural networks, CNNs, transformers, and deep learning for production
etl-tools
Apache Airflow, dbt, Prefect, Dagster, and modern data orchestration for production data pipelines
git-version-control
Git workflows, branching strategies, collaboration, and code management
iac-automation
Terraform, Pulumi, CloudFormation, and infrastructure as code for data platforms
llms-generative-ai
LLMs, prompt engineering, RAG systems, LangChain, and AI application development
machine-learning
Supervised & unsupervised learning, scikit-learn, XGBoost, model evaluation, feature engineering for production ML
mlops
MLflow, model versioning, experiment tracking, model registry, and production ML systems
monitoring-observability
Prometheus, Grafana, logging, alerting, and data pipeline observability
nosql-databases
MongoDB, Redis, Cassandra, DynamoDB, and distributed database patterns for scalable applications
python-programming
Master Python fundamentals, OOP, data structures, async programming, and production-grade scripting for data engineering
sql-databases
SQL query optimization, schema design, indexing strategies, and relational database mastery for production data systems
statistics-math
Statistics, probability, linear algebra, and mathematical foundations for data science
testing-quality
pytest, data validation, Great Expectations, and quality assurance for data systems
assumption-mapping
Surface, prioritize, and track risky assumptions before investing significant effort. Use when starting a new project, before major feature work, when feeling uncertain about direction, when the user says "I think users want...", "we assume...", "probably...", or before any build decision that hasn't been validated with real users.
heuristic-evaluation
Systematic usability evaluation using established heuristics (Nielsen's 10, Shneiderman's 8, or custom rubrics). Use when reviewing UI designs, screenshots, prototypes, or live products for usability issues. Triggers on "review this design", "what's wrong with this UI", "usability check", "evaluate this interface", or when user shares screenshots/mockups asking for feedback.
prd-generation
Generate lean, actionable Product Requirements Documents from upstream design thinking artifacts or raw input. Use when a user needs to define what they're building with enough structure to guide development but without enterprise bloat. Outputs a PRD that feeds directly into UX specs and development prompts.
problem-framing
Extract and structure fuzzy product ideas into validated problem statements, target users, and jobs-to-be-done. Use when a user has a raw idea, concept, or solution in mind but hasn't clearly articulated the problem, target user, or assumptions. This skill helps users communicate context to coding agents more effectively, reducing iteration cycles and "that's not what I meant" moments.
prompt-export
Convert structured UX specs and product context into a sequenced prompts.md file for Claude Code. Use when a user has completed upstream design thinking (problem framing, PRD, UX spec) and needs to translate that into step-by-step prompts that coding agents can execute incrementally. This skill bridges design artifacts to code generation.
solution-scoping
Prioritize features and define MVP boundaries based on problem framing and user models. Use when a user has validated their problem and understands their users but needs to decide what to build first. Outputs feature priorities, MVP scope, and explicit cuts that feed into PRD generation.
user-modeling
Create lightweight user personas and usage scenarios from problem framing or raw research. Use when a user needs to clarify who they're building for beyond a basic target user description. Outputs practical personas and scenarios that inform feature priorities and UX decisions—not marketing fluff.
ux-specification
Translate PRDs into detailed UX specifications including user flows, screen descriptions, components, and interaction patterns. Use when a user has a PRD and needs to define the concrete UI/UX before generating development prompts. Bridges product requirements to implementation details.
ask-questions
Clarify requirements before implementing. Do not use automatically, only when invoked explicitly.
create-plan
Create detailed implementation plans with thorough research and iteration. Use when the user asks to build a feature, create a plan, or specifically invokes this skill.
implement-plan
Implement a spec document phase-by-phase, writing robust idiomatic code that follows codebase patterns.
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