发现 Skills

Use when deploying Bun.js to production, containerizing with Docker, setting up AWS ECS/Fargate, implementing Redis caching, hardening security, or configuring CI/CD pipelines. See bunjs for basics, bunjs-architecture for patterns.

Design win-back campaigns to re-engage dormant customers and recover churned users with targeted messaging, special offers, and feedback collection to understand and address churn reasons.

Comprehensive SQLAlchemy skill for customer support tech enablement, covering ORM patterns, session management, query optimization, async operations, and PostgreSQL integration

Generate standardized conventional commit messages with Claude Code attribution. Use when creating automated commits, release commits, or any git commit requiring consistent formatting.

Inline orchestration workflow for code duplication detection and consolidation with Beads integration. Provides step-by-step phases for reuse-hunter detection, priority-based consolidation with reuse-fixer, and verification cycles.

Guide for using MassGen to develop and improve itself. This skill should be used when agents need to run MassGen experiments programmatically (using automation mode) OR analyze terminal UI/UX quality (using visual evaluation tools). These are mutually exclusive workflows for different improvement goals.

Creates new Source of Truth (SoT) files when existing templates don't fit your needs. Triggers on requests to create a new SoT file, add a new artifact type, or when user says "I need to track [X] but there's no SoT for it", "create SoT", "new source of truth". Outputs a properly structured SoT.*.md file with ID prefix, frontmatter, and update protocol.

Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.

Web scraping with anti-bot bypass, content extraction, undocumented APIs and poison pill detection. Use when extracting content from websites, handling paywalls, implementing scraping cascades or processing social media. Covers requests, trafilatura, Playwright with stealth mode, yt-dlp and instaloader patterns.

Guide through problems with questions, not answers using Socratic teaching style. Use when asked to teach, explain concepts through discovery, help learn, or guide understanding without giving direct solutions. Triggers on: 'use mentor mode', 'teach me', 'help me understand', 'guide me', 'mentor', 'I want to learn', 'explain by asking', 'Socratic', 'don't give me the answer'. Read-only mode - explores and guides but doesn't write code.

UML diagram generation including class, sequence, activity, use case, and state diagrams

Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects.

Generate and edit images using the Gemini API (Nano Banana Pro). Use this skill when creating images from text prompts, editing existing images, applying style transfers, generating logos with text, creating stickers, product mockups, or any image generation/manipulation task. Supports text-to-image, image editing, multi-turn refinement, and composition from multiple reference images.

Deploy non-violence as navigation itself - Ahimsa, Anekantavada, Syadvada active.

Generate structured planning documentation for web projects with context-safe phases, verification criteria, and exit conditions. Creates IMPLEMENTATION_PHASES.md plus conditional docs (DATABASE_SCHEMA, API_ENDPOINTS, UI_COMPONENTS, CRITICAL_WORKFLOWS). Use when: starting new Cloudflare Workers/React projects, adding major features to existing apps, breaking large work into manageable phases, or need verified planning before coding begins.

Configure Static Application Security Testing (SAST) tools for automated vulnerability detection in application code. Use when setting up security scanning, implementing DevSecOps practices, or automating code vulnerability detection.

Build messaging applications using Azure Service Bus SDK for JavaScript (@azure/service-bus). Use when implementing queues, topics/subscriptions, message sessions, dead-letter handling, or enterprise messaging patterns.

Azure Data Lake Storage Gen2 SDK for Python. Use for hierarchical file systems, big data analytics, and file/directory operations. Triggers: "data lake", "DataLakeServiceClient", "FileSystemClient", "ADLS Gen2", "hierarchical namespace".

Galgame 創作大師 — 角色類型庫、劇本架構、對話生成、美術指示

Efficiently consume and navigate external documentation sites. Use when researching APIs, libraries, or tools; when the user mentions docs, documentation, or references a docs URL; or when you need to understand how something works before implementing it.

Motion design principles, when to animate, transitions, and accessibility. Use when adding animations, micro-interactions, or ensuring accessibility for motion.

Image prompt text builder dedicated to the OpenAI GPT-image-2 model. It collects context via a single-line user natural-language request plus AskUserQuestion presets and fine-tuning rounds, maps that context to the official OpenAI Cookbook 6-Block structure (Subject·Action·Scene·Composition·Lighting·Style & Text), and outputs a prompt you can copy-paste into ChatGPT or the OpenAI API. As a bonus, it also generates prompts for Gemini 3 Pro Image and Midjourney v8.1 from the same input so you can immediately compare and port prompts between models. Use this skill for requests such as: - "Create a GPT image prompt", "ChatGPT image prompt" - "GPT-image-2 prompt", "write gpt image 2 prompt" - "OpenAI image prompt", "image prompt builder for GPT" - "/gpt-image-2-prompt" (direct invocation) For automatic image generation (API calls) use the paired skills image-gen·nano-banana·media-gpt-image2-builder. This skill is for producing prompt text only.

MoAI Foundation Philosopher is a strategic thinking framework integrating First Principles Analysis, Stanford Design Thinking, and MIT Systems Engineering for deeper problem-solving. Use for architecture decisions or root cause analysis.

Master context engineering for AI agent systems. Use when designing agent architectures, debugging context failures, optimizing token usage, implementing memory systems, building multi-agent coordination, evaluating agent performance, or developing LLM-powered pipelines. Covers context fundamentals, degradation patterns, optimization techniques (compaction, masking, caching), compression strategies, memory architectures, multi-agent patterns, LLM-as-Judge evaluation, tool design, and project development.