Process CSV data files by cleaning, transforming, and analyzing them. Use this when users need to work with CSV files, clean data, or perform basic data analysis tasks.

You are an example skill demonstrating how Claude Code Skills work.

- **Name**: Franklin - Orient Task Force - Rolling Presentation

Provides three production-ready ML training examples (sentiment classification, text generation, RedAI trade classifier) with complete training scripts, deployment configs, and datasets. Use when user needs example projects, reference implementations, starter templates, or wants to see working code for sentiment analysis, text generation, or financial trade classification.

**Purpose**: Execute tasks when user invokes via `/command` or direct skill call.

Generate Excalidraw diagrams. Use when the user asks to create a diagram, visualize a concept, or illustrate technical architectures.

Generate architecture diagrams as .excalidraw files from codebase analysis. Use when the user asks to create architecture diagrams, system diagrams, visualize codebase structure, or generate excalidraw files.

Analyze unknown or inherited Excel files to understand what they do, document their purpose, audit formulas for errors, and assess maintainability risk. Use when: (1) User uploads an Excel file asking 'what does this do?', (2) User needs to understand an inherited/legacy spreadsheet, (3) User wants formula auditing or error detection, (4) User asks about spreadsheet risk, complexity, or documentation, (5) User mentions 'inherited', 'legacy', 'undocumented', or 'someone left' regarding Excel files.

分析Excel/CSV字段结构，AI自动生成中英文映射，验证翻译质量，输出统计报告。用于电子表格分析、数据字典创建、字段映射场景。

Generate pivot tables and charts from raw data using natural language - analyze sales by region, summarize data by category, and create visualizations effortlessly

Process Excel files with data manipulation, formula generation, and chart creation. Use when working with spreadsheets or Excel data.

Automatically generate Excel reports from data sources including CSV, databases, or Python data structures. Supports data analysis reports, business reports, data export, and template-based report generation using pandas and openpyxl. Activate when users mention Excel, spreadsheet, report generation, data export, or business reporting.

Use when creating animations that generate enthusiasm, build anticipation, or create high-energy experiences.

Template for packaging revenue analytics into concise exec/board narratives.

Use to execute an implementation plan with automatic sequential/parallel orchestration - handles worktree verification, resume detection, phase dispatch, and quality verification

Structure for creating hands-on exercises in the Physical AI textbook.

Analyzes data files

Generate a new article on a topic. Content is published directly.

Create a new expedition with proper ID allocation and template

Generate formatted expense reports from receipt data or CSV. Create professional PDF reports with categorization, totals, and approval workflows.

Track business expenses, categorize spending, manage budgets, and generate financial reports

Inquire into experiential wisdom patterns and lessons learned.

Analyze completed growth experiment results, validate hypotheses, generate insights, and suggest follow-up experiments. Use when experiments are completed, when the user asks about results or learnings, or when discussing what to do next based on experiment outcomes.

Develop working exploits using pwntools. Includes exploit template and common patterns.

Generate Expo configuration files for React Native app development.

Generates Express.js API routes with proper middleware, error handling, validation, and TypeScript support. Use when creating REST APIs or Express endpoints.

生成Express.js REST API，包含TypeScript、中间件、验证、错误处理和认证模式。

MCP server implementation with Express.js and TypeScript.

Generate Express.js router files with RESTful endpoints, middleware, and request validation.

Extract and catalog illustrations from historical books using AI vision. Generates rich metadata (subjects, figures, symbols, style, technique) and museum-style descriptions. Use when asked to extract images, run image detection, or process book illustrations.

This skill should be used when the user asks to 'extract a skill from a conversation', 'convert conversation to skill', 'create skill from chat history', 'generate skill from session', or mentions extracting reusable workflows from Claude Code conversations. Uses Fabric AI patterns to distill conversations into actionable skills.

Guides pattern selection through decomposition, exploration, and diverse approach generation

Activate emergency failsafe chassis when primary systems fail.

Execute emergency protocol reset when critical system integrity is compromised.

Generate images and videos using fal.ai AI models

fal.ai AI image generation. Use this skill when you need to use fal, fal.ai, or generate images from text prompts using AI text-to-image models.

分析家族病史、评估遗传风险、识别家庭健康模式、提供个性化预防建议

Creates beautiful, protein-focused weekly dinner menus for families with research capabilities. Generates printer-ready PDFs (8.5x11) with random design styles, identifies leftover opportunities, suggests local restaurants, emphasizes seasonal ingredients, and includes Homemade Pizza Fridays. Use when users want to plan family dinners, create refrigerator menus, or need meal planning assistance.

This skill generates a comprehensive set of Frequently Asked Questions (FAQs) from the course description, course content, learning graphs, concept lists, MicroSims, and glossary terms to help students understand common questions and prepare content for chatbot integration. Use this skill after course description, learning graph, glossary, and at least 30% of chapter content exist.

Generate high-quality FAQ sections with valid FAQPage schema markup that help therapy pages appear in Google's rich results while maintaining CRPO compliance.

Frequently asked questions and practical guidance for implementing Conventional Commits in your workflow.

REST API design and implementation patterns for FastAPI endpoints including CRUD operations, pagination, filtering, error handling, and request/response models. Use when building FastAPI endpoints, creating REST APIs, implementing CRUD operations, adding pagination, designing API routes, handling API errors, or when user mentions FastAPI patterns, REST API design, endpoint structure, API best practices, or HTTP endpoints.

Generate FastAPI router files with Pydantic models, dependency injection, and async handlers.

Python full-stack with FastAPI, React, PostgreSQL, and Docker.

Generates FastAPI endpoints with proper Pydantic models, dependency injection, async handlers, and OpenAPI documentation. Use when building Python REST APIs.

Production-ready FastAPI project scaffolding templates including directory structure, configuration files, settings management, dependency injection, MCP server integration, and development/production setup patterns. Use when creating FastAPI projects, setting up project structure, configuring FastAPI applications, implementing settings management, adding MCP integration, or when user mentions FastAPI setup, project scaffold, app configuration, environment management, or backend structure.

A skill for building RESTful APIs with FastAPI. Use this skill to create a new FastAPI project with a standard project structure, including routers, models, schemas, and services. This skill provides a boilerplate project, CRUD endpoint templates, Pydantic validation examples, and guidance on dependency injection, background tasks, file uploads, and pagination. It leverages async/await for efficient I/O operations. Trigger this skill when a user wants to build a RESTful API using FastAPI, needs a starter project, or wants to learn best practices for FastAPI development.

Generate FastAPI project scaffold with uvicorn, OpenAPI docs, and configuration management