Claude Skills by majiayu000

Use when designing experiments for subject lines, offers, cadences, or

Download and manage abqpy API documentation. Use when user asks about API documentation, API reference, or downloading Abaqus docs.

Complete workflow for dynamic analysis. Use when user mentions impact, crash, drop test, transient, or time-varying response. Handles explicit and implicit dynamics.

Workflow for fatigue and durability analysis - cycle counting, damage accumulation, and fatigue life prediction.

Presentation creation, editing, and analysis. When Claude needs to work with presentations (.pptx files) for: (1) Creating new presentations, (2) Modifying or editing content, (3) Working with layouts, (4) Adding comments or speaker notes, or any other presentation tasks

Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.

Expert-level Apache Airflow orchestration, DAGs, operators, sensors, XComs, task dependencies, and scheduling

This skill helps users extract structured best-selling product data from Amazon via the BrowserAct API. Agent should proactively apply this skill when users express needs like search for best selling products on Amazon, extract Amazon product data based on keywords, find top rated Amazon products, monitor Amazon competitor prices and sales, discover trending products on Amazon marketplace, extract Amazon product titles prices and ratings, gather Amazon product sales volume for market research...

This skill helps users extract basic product details other sellers prices and seller ratings from Amazon via ASIN automatically using the BrowserAct API. Agent should proactively apply this skill when users express needs like query Amazon buy box information, monitor Amazon product prices, extract Amazon product details by ASIN, check other sellers prices on Amazon, get Amazon seller ratings and feedback count, monitor buy box ownership for a specific ASIN, track Amazon fulfillment methods fo...

This skill helps users extract structured product listings from Amazon, including titles, ASINs, prices, ratings, and specifications. Use this skill when users want to search for products on Amazon, find the best selling brand products, track price changes for items, get a list of categories with high ratings, compare different brand products on Amazon, extract Amazon product data for market research, look for products in a specific language or marketplace, analyze competitor pricing for keyw...

This skill is designed to help users automatically extract product data from Amazon search results. The Agent should proactively apply this skill when users request searching for products related to keywords, finding best-selling items from specific brands, monitoring product prices and availability on Amazon, extracting product listings for market research, collecting product ratings and review counts for competitive analysis, finding specific products with a maximum count, searching Amazon ...

This skill helps users automatically extract Amazon product reviews via the Amazon Reviews API. Agent should proactively apply this skill when users express needs like getting reviews for Amazon product with ASIN B07TS6R1SF, analyzing customer feedback for a specific Amazon item, getting ratings and comments for a competitive product, tracking sentiment of recent Amazon reviews, extracting verified purchase reviews for quality assessment, summarizing user experiences from Amazon product pages...

Process YouTube analytics to extract actionable insights

Define the scope of analytics efforts by identifying relevant metrics, data sources, and analysis approaches. Use when framing pilot analysis questions, selecting KPIs, or aligning data feeds to business objectives and stakeholder needs.

Use when creating API services for backend communication with proper patterns for caching, error handling, and type safety.

Migrate from AngularJS to Angular using hybrid mode, incremental component rewriting, and dependency injection updates. Use when upgrading AngularJS applications, planning framework migrations, or modernizing legacy Angular code.

Migrate from AngularJS to Angular using hybrid mode, incremental component rewriting, and dependency injection updates. Use when upgrading AngularJS applications, planning framework migrations, or modernizing legacy Angular code.

Design Angular modules using feature modules, lazy loading, and dependency injection. Use when organizing large Angular applications with proper separation of concerns.

ANIMA as limit construction over condensed skill applications. Formalizes prediction markets as belief ANIMAs, structure dishes as condensation media, and impact as equivalence class change. Use for understanding agency at maximum entropy, compositional world modeling, or applying Scholze-Clausen condensed mathematics to AI.

Expert guidelines for building performant animations with Anime.js animation library

Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.

Rule-based anomaly detection for production systems with configurable thresholds, cooldown periods to prevent alert storms, and error pattern tracking for repeated failures.

Infrastructure automation and configuration management using Ansible playbooks, roles, and inventory. Use for deploying applications, patching, and managing servers.

Integrates Anthropic Claude API for chat, tool use, and vision capabilities. Use when building AI-powered features with Claude models including streaming, extended thinking, and multi-turn conversations.

Determine the best Anthropic architecture for your project by analyzing requirements and recommending the optimal combination of Skills, Agents, Prompts, and SDK primitives.

Master Anthropic's prompt engineering techniques to generate new prompts or improve existing ones using best practices for Claude AI models.

Expert cloud architect specializing in AWS/Azure/GCP multi-cloud

Use when a user asks for a plan for a coding task, to generate a clear, actionable, and atomic checklist.

Initialize project with Conductor artifacts (product definition,

基于预设 URL 列表抓取内容，筛选高质量技术信息并生成每日 Markdown 报告。

Build scalable data pipelines, modern data warehouses, and

Database design principles and decision-making. Schema design, indexing strategy, ORM selection, serverless databases.

Azure Cosmos DB partition keys, consistency levels, change feed, SDK patterns

Azure Blob Storage SDK for Python. Use for uploading, downloading, listing blobs, managing containers, and blob lifecycle.

Azure Blob Storage SDK for Rust. Use for uploading, downloading, and managing blobs and containers.

A framework to evaluate the market potential and strategic direction of B2B products based on workflow frequency and organizational breadth. Use it when validating a new startup idea, evaluating a product's "ceiling," or planning a pivot to increase market share.

Check Custom SCAPI endpoint registration status. Use when verifying custom API deployment, debugging "endpoint not found" errors, or checking if code activation registered new APIs. For creating new custom APIs, use b2c-custom-api-development instead.

Browse and retrieve SCAPI OpenAPI schemas. Use when exploring available SCAPI endpoints, checking API request/response formats, understanding SCAPI data models, or finding the right API for a task.

Business analysis methodologies, requirements engineering, RACI matrices, user stories for Pulse Radar.

Find the best backend architecture, database design, and API patterns using deep research. Use when user asks "best database for...", "optimize API", "backend architecture for...", or "scale this service".

Your approach to handling backend models. Use this skill when working on files where backend models comes into play.

Senior Developer Agent. 기술 리더십, 아키텍처 의사결정, 코드 리뷰 리드, 멘토링을 담당합니다.

Use when planning, building, designing, code review, refactor, fixing, improving, optimizing, enhancing, or checking UI/UX work. Covers product patterns, landing pages, chart choices, visual styles, palettes, typography, UX rules, and 9 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind, shadcn/ui). Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app, .html, .tsx, .vue, .svelte. Elements: button, modal, navbar, side...

在 Linux VPS 上部署 CLIProxyAPI + NewAPI 组合栈，把 Codex/Claude/Gemini/Qwen 等订阅账号包装成可计费的 OpenAI 兼容 API。负责 NewAPI Docker 部署、容器→宿主桥接、模型计费倍率（ModelRatio/CacheRatio/CompletionRatio）、SQLite 直写额度、CLIProxyAPI 408 冷却补丁、多账号 OAuth 凭据热加载、双路径验证。当用户说"部署 cliproxy + newapi"、"加 OpenAI 计费层"、"配置 newapi 渠道接 cliproxy"、"newapi 价格不对"、"加新的 codex/claude 账号到现有部署"、"172.17.0.1 容器网络"、"408 冷却放大故障"时触发。

An advanced analysis tool that helps contributors move beyond simple bug fixes to architectural improvements. It focuses on finding technical debt, proposing RFCs, and identifying module ownership opportunities.

扫描磁盘空间占用，找出可安全删除的缓存、编译产物、安装包等，交互式清理释放空间

Guides clean architecture design with strict 200-line file limits. Use when starting new features, refactoring large files, or planning module structure. Enforces modular design and real testing.

Execute coding tasks with a strict delivery workflow: build a full plan, implement one step at a time, run tests continuously, and commit by default after each step (`per_step`). Support explicit commit policy overrides (`final_only`, `milestone`) and optional BDD (Given/When/Then) when users ask for behavior-driven delivery or requirements are unclear.

在本机 Mac 或 Apple Silicon 上部署 Gemma 4 12B。本地安装/升级 llama.cpp，下载 GGUF 量化模型，用 llama-server 暴露 OpenAI-compatible API，或用 Ollama 暴露本地模型服务，按用户需求把 12B 上下文从默认 32K 提升到 64K/128K，配置 tmux 后台运行，验证健康检查、问答接口、资源占用和常见故障。当用户说部署 Gemma 4、Gemma 4 12B、本地大模型、长上下文、llama-server、Ollama、GGUF、Mac 本地模型服务时使用。

Discover and deliver repository optimization work end to end: identify performance/reliability/maintainability/security/dx/cost optimization points, prioritize by impact-effort-risk, then execute fixes step by step with continuous testing and explicit commit policy (`final_only`, `per_step`, `milestone`). Default to `per_step` for implementation work so each feature is tested then committed before the next feature. Supports optional BDD (Given/When/Then).