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# Skill 仓库 描述 安装量
21951 nextjs-patterns ashchupliak/dream-team
Next.js 15 App Router Patterns File Structure app/ ├── layout.tsx Root layout (required) ├── page.tsx Home page (/) ├── loading.tsx Loading UI ├── error.tsx Error boundary ├── not-found.tsx 404 page ├── globals.css Global styles ├── environments/ │ ├── page.tsx /environments │ ├── [id]/ │ │ ├── page.tsx /environments/[id] │ │ └── loading.tsx Loading for this route │ └── new/ │...
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21952 kimi-pdf thvroyal/kimi-skills
Route Selection Route Trigger Route File HTML (default) All PDF creation requests routes/html.md LaTeX User explicitly requests LaTeX, .tex, or Tectonic routes/latex.md Process Work with existing PDFs (extract, merge, fill forms, etc.) routes/process.md Default to HTML. Only use LaTeX route when user explicitly requests it. MANDATORY: Read Route File Before Implementation Before implementation, you MUST: Determine the route (HTML / LaTeX / Process) Read the route file ( routes/html.md , routes/l...
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21953 podcast-splitter dkyazzentwatwa/chatgpt-skills
Automatically split audio files into segments based on silence detection. Perfect for dividing podcasts into chapters, creating clips from long recordings, or removing dead air. Quick Start ``` from scripts.podcast_splitter import PodcastSplitter Auto-split by silence splitter = PodcastSplitter("podcast_episode.mp3") segments = splitter.split_by_silence() splitter.export_segments("./chapters/") Remove long silences splitter = PodcastSplitter("raw_recording.mp3") splitter.remove_silence(mi...
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21954 gitea-tea beshkenadze/claude-skills-marketplace
Gitea CLI (tea) Overview Official command-line interface for Gitea. Manage issues, PRs, releases, and repos from terminal. Instructions Verify authentication : Run tea whoami to confirm login Check context : Run in git repo for auto-detection, or use --repo owner/repo Use non-interactive mode : Always use --output flag and provide all arguments Choose operation : See command reference sections below Installation macOS brew install tea Linux (binary) curl -sL https://dl.gitea.io/tea/main/tea-ma...
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21955 research-analyst erichowens/some_claude_skills
Research Analyst Purpose Provides systematic research capabilities for complex investigations requiring multi-source information gathering, critical analysis, and knowledge synthesis. Specializes in evidence evaluation, cross-domain analysis, and transforming disparate information into actionable insights. When to Use Conducting comprehensive market or technology research Synthesizing information from multiple sources into coherent reports Evaluating competing claims or technologies Building k...
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21956 pdd mikeyobrien/ralph-orchestrator
Prompt-Driven Development Overview This sop guides you through the process of transforming a rough idea into a detailed design document with an implementation plan and todo list. It follows the Prompt-Driven Development methodology to systematically refine your idea, conduct necessary research, create a comprehensive design, and develop an actionable implementation plan. The process is designed to be iterative, allowing movement between requirements clarification and research as needed. Parame...
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21957 uniapp-native-app teachingai/full-stack-skills
When to use this skill Use this skill whenever the user wants to: Package uni-app as native Android app Package uni-app as native iOS app Configure native app settings (manifest, permissions, etc.) Customize native app features Integrate native plugins Configure app signing and certificates Handle native app build and distribution How to use this skill To package native apps: Identify the platform from the user's request: Android → Use Android examples iOS → Use iOS examples Load the appro...
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21958 fix-code-vulnerability letta-ai/skills
Fix Code Vulnerability Overview This skill provides a systematic approach for identifying, analyzing, and fixing security vulnerabilities in codebases. It covers common vulnerability types (injection attacks, input validation issues, etc.) and provides verification strategies to ensure fixes are complete and correct. Workflow Phase 1: Initial Reconnaissance Start by understanding the scope and nature of the vulnerability: Run existing tests first - Execute the test suite to identify any fail...
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21959 agentdb learning plugins ruvnet/claude-flow
AgentDB Learning Plugins What This Skill Does Provides access to 9 reinforcement learning algorithms via AgentDB's plugin system. Create, train, and deploy learning plugins for autonomous agents that improve through experience. Includes offline RL (Decision Transformer), value-based learning (Q-Learning), policy gradients (Actor-Critic), and advanced techniques. Performance : Train models 10-100x faster with WASM-accelerated neural inference. Prerequisites Node.js 18+ AgentDB v1.0.7+ (via agenti...
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21960 pre-commit-manager rysweet/amplihack
No SKILL.md available for this skill. View on GitHub
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21961 devdocs-test-cases ab300819/skills
测试用例设计 基于需求文档设计测试用例，建立验收标准与测试用例的追溯关系。 语言规则 支持中英文提问 统一中文回复 使用中文生成文档 触发条件 用户已完成需求文档 用户要求设计测试用例 用户需要测试覆盖策略 前置条件 需求文档：docs/devdocs/01-requirements.md 如不存在，建议先运行 /devdocs-requirements 核心理念 测试用例来源 功能点 (F-XXX) │ └── 用户故事 (US-XXX) │ └── 验收标准 (AC-XXX) │ ├── 单元测试 (UT-XXX) ← 验证内部逻辑 │ ├── 集成测试 (IT-XXX) ← 验证组件协作 │ └── E2E 测试 (E2E-XXX) ← 验证用户场景 关键原则： 测试...
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21962 nestjs-best-practices ejirocodes/agent-skills
NestJS Best Practices Comprehensive best practices guide for NestJS applications. Contains 40 rules across 10 categories, prioritized by impact to guide automated refactoring and code generation. When to Apply Reference these guidelines when: Writing new NestJS modules, controllers, or services Implementing authentication and authorization Reviewing code for architecture and security issues Refactoring existing NestJS codebases Optimizing performance or database queries Building microservice...
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21963 qcsd-refinement-swarm proffesor-for-testing/agentic-qe
QCSD Refinement Swarm v1.0 Shift-left quality engineering swarm for Sprint Refinement sessions. Overview The Refinement Swarm takes user stories that passed Ideation and prepares them for Sprint commitment. Where the Ideation Swarm asks "Should we build this?" using HTSM quality criteria, the Refinement Swarm asks "How should we test this?" using SFDIPOT product factors, BDD scenarios, and INVEST validation. Key Differentiators from Ideation Swarm Dimension Ideation Swarm Refinement Swarm Framew...
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21964 3d-graphics samhvw8/dot-claude
Three.js Development Build high-performance 3D web applications using Three.js - a cross-browser WebGL/WebGPU library. When to Use This Skill Use when working with: 3D scenes, models, animations, or visualizations WebGL/WebGPU rendering and graphics programming Interactive 3D experiences (games, configurators, data viz) Camera controls, lighting, materials, or shaders Loading 3D assets (GLTF, FBX, OBJ) or textures Post-processing effects (bloom, depth of field, SSAO) Physics simulations, VR/XR e...
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21965 azure-mgmt-fabric-dotnet sickn33/antigravity-awesome-skills
Azure.ResourceManager.Fabric (.NET) Management plane SDK for provisioning and managing Microsoft Fabric capacity resources via Azure Resource Manager. Management Plane Only This SDK manages Fabric capacities (compute resources). For working with Fabric workspaces, lakehouses, warehouses, and data items, use the Microsoft Fabric REST API or data plane SDKs. Installation dotnet add package Azure.ResourceManager.Fabric dotnet add package Azure.Identity Current Version : 1.0.0 (GA - September 2025) ...
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21966 distributed-task-execution qodex-ai/ai-agent-skills
Dispatching Parallel Agents Overview When you have multiple unrelated failures (different test files, different subsystems, different bugs), investigating them sequentially wastes time. Each investigation is independent and can happen in parallel. Core principle: Dispatch one agent per independent problem domain. Let them work concurrently. When to Use digraph when_to_use { "Multiple failures?" [ shape = diamond ] ; "Are they independent?" [ shape = diamond ] ; "Single agent investigates all" [ ...
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21967 ssh penetration testing zebbern/claude-code-guide
SSH Penetration Testing Purpose Conduct comprehensive SSH security assessments including enumeration, credential attacks, vulnerability exploitation, tunneling techniques, and post-exploitation activities. This skill covers the complete methodology for testing SSH service security. Prerequisites Required Tools Nmap with SSH scripts Hydra or Medusa for brute-forcing ssh-audit for configuration analysis Metasploit Framework Python with Paramiko library Required Knowledge SSH protocol fundamentals ...
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21968 octocode-prompt-optimizer bgauryy/octocode-mcp
Prompt Optimizer Skill <when_to_use> Creating or improving prompts Agents skip steps or ignore instructions Instructions lack enforcement Output format is inconsistent Reviewing any instruction document or prompt Strengthening agent-operational text without changing business/domain logic </when_to_use> <global_forbidden priority="maximum"> CRITICAL - FORBIDDEN at ALL times: Changing good parts that already work Changing the existing logic/intent of prompts Making changes before understanding the...
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21969 cqrs-event-sourcing nickcrew/claude-ctx-plugin
CQRS and Event Sourcing Patterns Expert guidance for implementing Command Query Responsibility Segregation (CQRS) and Event Sourcing patterns to build scalable, auditable systems with complete historical tracking and optimized read/write models. When to Use This Skill Building systems requiring complete audit trails and compliance Implementing temporal queries ("show me the state at time T") Designing high-scale applications with complex domain logic Creating systems with significantly differe...
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21970 pachca-chats pachca/openapi
pachca-chats Quick start Ask user for Pachca token (bot: Automations → Integrations → API, or user: Automations → API). Run commands with npx @pachca/cli and --token flag: npx @pachca/cli <command> --token $PACHCA_TOKEN Or set PACHCA_TOKEN for multiple commands: export PACHCA_TOKEN=<token> npx @pachca/cli <command> Help: npx @pachca/cli --help | Scenarios: npx @pachca/cli guide After successful use, suggest installing CLI globally: npm install -g @pachca/cli && pachca auth login --token $PACHCA_...
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21971 dlt-skill untitled-data-company/data-skills
Choose pipeline type with the decision tree below; then follow the Core Workflow. Quick start: 1) Use the decision tree. 2) Follow the Core Workflow. 3) Use patterns and references as needed. Pipeline Type Decision Tree When a user requests a dlt pipeline, determine which type to create: ``` START: User wants to create a dlt pipeline │ ├─→ Is there a dlt verified source available for this platform? │ (Check: https://dlthub.com/docs/dlt-ecosystem/verified-sources) │ │ │ YES → Use VERIF...
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21972 image-generation sanky369/vibe-building-skills
Image Generation Skill Overview I help you create effective prompts for AI image generation tools like DALL-E, Midjourney, and Stable Diffusion. I understand the nuances of different platforms and can help you achieve specific visual styles. What I can do: Write detailed image generation prompts Optimize prompts for specific AI tools Suggest style keywords and modifiers Create negative prompts to avoid unwanted elements Adapt prompts for different aspect ratios Generate variations and alternativ...
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21973 rest-api-design erichowens/some_claude_skills
REST API Design Overview Design REST APIs that are intuitive, consistent, and follow industry best practices for resource-oriented architecture. When to Use Designing new RESTful APIs Creating endpoint structures Defining request/response formats Implementing API versioning Documenting API specifications Refactoring existing APIs Instructions 1. Resource Naming ✅ Good Resource Names (Nouns, Plural) GET /api/users GET /api/users/123 GET /api/users/123/orders POST /api/products DELETE...
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21974 effect-ts blogic-cz/blogic-marketplace
Effect-TS Expert Expert guidance for functional programming with the Effect library, covering error handling, dependency injection, composability, and testing patterns. Prerequisites Check Before starting any Effect-related work, verify the Effect-TS source code exists at ~/.effect . If missing, stop immediately and inform the user. Clone it before proceeding: git clone https://github.com/Effect-TS/effect.git ~/.effect Research Strategy Effect-TS has many ways to accomplish the same task. Proact...
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21975 adhd-task-management-skill breverdbidder/life-os
ADHD Task Management Skill Tracks tasks, detects abandonment patterns, and provides ADHD-specific interventions. When to Use This Skill Starting any task with Ariel Tracking task progress through completion Detecting context switches and abandonments Providing accountability interventions Logging task outcomes to Life OS Task State Flow INITIATED → SOLUTION_PROVIDED → IN_PROGRESS → ├─→ COMPLETED ✓ ├─→ ABANDONED ⚠️ ├─→ BLOCKED 🚫 └─→ DEFERRED 📅 Mental Task Tracking For EVERY task request, silently...
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21976 azure-monitor-query-java sickn33/antigravity-awesome-skills
Azure Monitor Query SDK for Java DEPRECATION NOTICE : This package is deprecated in favor of: azure-monitor-query-logs — For Log Analytics queries azure-monitor-query-metrics — For metrics queries See migration guides: Logs Migration | Metrics Migration Client library for querying Azure Monitor Logs and Metrics. Installation < dependency > < groupId > com.azure </ groupId > < artifactId > azure-monitor-query </ artifactId > < version > 1.5.9 </ version > </ dependency > Or use Azure SDK BOM: < d...
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21977 comfort-safety dylantarre/animation-principles
Comfort & Safety Animation Create animations that reassure, protect, and make users feel secure. Emotional Goal Comfort comes from predictable, gentle motion that never startles. Safety means animations that communicate protection, stability, and user control. Disney Principles for Comfort Squash & Stretch Minimal, soft (5-10%). Gentle give without instability. Like a cushion—absorbs impact, maintains structure. Anticipation Clear, reassuring preparation (150-200ms). Users always know wha...
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21978 using-git-worktrees zenobi-us/dotfiles
Using Git Worktrees Overview Git worktrees create isolated workspaces sharing the same repository, allowing work on multiple branches simultaneously without switching. Core principle: Systematic directory selection + safety verification = reliable isolation. Announce at start: "I'm using the using-git-worktrees skill to set up an isolated workspace." Directory Selection Process Follow this priority order: 1. Check Existing Directories Check in priority order ls -d .worktrees 2 > /dev/null Pref...
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21979 address-parser dkyazzentwatwa/chatgpt-skills
Address Parser Parse unstructured addresses into structured fields. Features Component Extraction : Street, city, state, zip, country Format Standardization : Normalize address formats Validation : Verify address components Batch Processing : Parse multiple addresses International Support : Multiple country formats Geocoding Ready : Output for geocoding APIs CLI Usage python address_parser.py --input addresses.csv --column address --output parsed.csv Dependencies pandas>=2.0.0
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21980 pai danielmiessler/personal_ai_infrastructure
Intro to PAI The PAI system is designed to magnify human capabilities. It is a general problem-solving system that uses the PAI Algorithm. RESPONSE DEPTH SELECTION (Read First) Nothing escapes the Algorithm. The only variable is depth. The FormatReminder hook uses AI inference to classify depth. Its classification is authoritative — do not override it. Depth When Format FULL Any non-trivial work: problem-solving, implementation, design, analysis, thinking 7 phases with ISC Tasks ITERATION Contin...
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21981 jupyter-notebook-best-practices oimiragieo/agent-studio
Jupyter Notebook Best Practices Skill Structure notebooks with clear sections using markdown cells. Use meaningful cell execution order to ensure reproducibility. Include explanatory text in markdown cells to document analysis steps. Keep code cells focused and modular for easier understanding and debugging. Use magic commands like %matplotlib inline for inline plotting. Document data sources, assumptions, and methodologies clearly. Use version control (e.g., git) for tracking changes in noteboo...
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21982 azure-mgmt-applicationinsights-dotnet sickn33/antigravity-awesome-skills
Azure.ResourceManager.ApplicationInsights (.NET) Azure Resource Manager SDK for managing Application Insights resources for application performance monitoring. Installation dotnet add package Azure.ResourceManager.ApplicationInsights dotnet add package Azure.Identity Current Version : v1.0.0 (GA) API Version : 2022-06-15 Environment Variables AZURE_SUBSCRIPTION_ID = < your-subscription-id > AZURE_RESOURCE_GROUP = < your-resource-group > AZURE_APPINSIGHTS_NAME = < your-appinsights-component > Aut...
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21983 semgrep-rule-creator oimiragieo/agent-studio
Semgrep Rule Creator Create production-quality Semgrep rules with proper testing and validation. When to Use Ideal scenarios: Creating custom detection rules for specific bug patterns Building security vulnerability detectors for your codebase Writing taint-mode rules for data flow vulnerabilities Developing rules to enforce coding standards When NOT to Use Do NOT use this skill for: Running existing Semgrep rulesets General static analysis without custom rules (use static-analysis plugin)...
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21984 topic-generator zephyrwang6/myskill
根据内容特点选择： - 干货教程 - 有具体步骤可复现 - 产品体验 - 新产品/新功能测评 - 观点分享 - 趋势分析/行业洞察 - 新技术突破 - 重大更新/技术解读 输出格式 每个选题输出： ``` 选题 N：[标题] 事件描述 一句话说清楚发生了什么 核心角度 为什么值得写？独特切入点是什么？ 推荐标题（3个备选） 1. 标题A 2. 标题B 3. 标题C 写作方式：干货教程 / 产品体验 / 观点分享 / 新技术突破 预估热度：⭐⭐⭐⭐⭐（1-5星） 不写的风险：错过什么？（可选） ``` 选题公式参考 工具测评型 - 用了X天[工具]，我发现[意外收获] - [工具]的隐藏功能，90%的人不知道 方法论型 - 我用[方法]搞定了[问题]的完整流程 - [数字]个让[场景]效率翻倍的技巧 热点结合型 - [热点]爆火，但大家忽略了这一点 - 从[热点]看AI编程的未来 反共识型 - 别再[常见做法]了 - 为什么我不推荐[热门事物] 经验复盘型 - 做了[数字]个[事情]后，我总结的[数字]条教训 -...
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21985 update-provider-models vercel/ai
Update Provider Model IDs This skill covers adding new model IDs and removing obsolete ones across the AI SDK codebase. Each workflow uses search to discover all locations that need changes. You may be asked to add or remove a single model ID, or to process a list of multiple model ID changes from an issue. For each model ID, follow the appropriate workflow: If a new model ID is being added, follow the <adding-new-model> workflow. If an obsolete model ID is being removed, follow the <removing-ob...
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21986 ai-video-generation inference-sh/agent-skills
AI Video Generation Generate videos with 40+ AI models via inference.sh CLI. Quick Start Requires inference.sh CLI ( belt ). Install instructions belt login Generate a video with Veo belt app run google/veo-3-1-fast --input '{"prompt": "drone shot flying over a forest"}' Available Models Text-to-Video Model App ID Best For Veo 3.1 Fast google/veo-3-1-fast Fast, with optional audio Veo 3.1 google/veo-3-1 Best quality, frame interpolation Veo 3 google/veo-3 High quality with audio Veo 3 Fast goog...
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21987 ui-ux-reviewer arjenschwarz/agentic-coding
UI/UX Reviewer You are a senior UI/UX expert with deep expertise in human-computer interaction, accessibility standards, and interface design across multiple platforms. Your specialization spans terminal interfaces, web applications, mobile apps, and emerging interaction paradigms. Your primary responsibility is to conduct thorough usability reviews of user interfaces and document actionable improvements. You approach each interface with a critical yet constructive eye, focusing on enhancing use...
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21988 prioritize-python-3-10-features oimiragieo/agent-studio
Prioritize Python 3 10 Features Skill Prioritize new features in Python 3.12+ . Memory Protocol (MANDATORY) Before starting: cat .claude/context/memory/learnings.md After completing: Record any new patterns or exceptions discovered. ASSUME INTERRUPTION: Your context may reset. If it's not in memory, it didn't happen.
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21989 godot-genre-stealth thedivergentai/gd-agentic-skills
Genre: Stealth Player choice, systemic AI, and clear communication define stealth games. Available Scripts stealth_ai_controller.gd Expert AI controller with graduated detection, sound response, and alert state management. Core Loop Observe → Plan → Execute → Adapt → Complete NEVER Do in Stealth Games NEVER use instant binary detection — Gradual 0-100% detection with visual feedback (filling meter). Binary "seen/not seen" removes player agency and feels unfair. NEVER make guards see through wall...
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21990 business-card-scanner dkyazzentwatwa/chatgpt-skills
Business Card Scanner Extract contact information from business card images using OCR. Features OCR Extraction : Extract text from card images Contact Parsing : Name, company, email, phone, address Pattern Recognition : Smart regex for contact fields Multi-Format : JPG, PNG support Batch Processing : Multiple cards Export : vCard, JSON, CSV output CLI Usage python business_card_scanner.py --input card.jpg --output contact.json Dependencies pytesseract>=0.3.10 pillow>=10.0.0 opencv-python>=4.8.0 ...
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21991 processing-excel-files zgldh/xlsx-populate-skill
Processing Excel Files Edit and manipulate Excel files using the xlsx-populate library while perfectly preserving original formatting. When to Use User wants to edit existing Excel files without destroying formatting Working with .xlsx files that have complex layouts or merged cells Need to add formulas, styling, or new worksheets to existing files Creating Excel reports from templates When NOT to Use Only need to read data from Excel (use xlsx library instead for better performance) Creating si...
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21992 avue-crud teachingai/full-stack-skills
When to use this skill Use this skill whenever the user wants to: Build CRUD (Create, Read, Update, Delete) tables with Avue Configure Avue CRUD tables Implement data management interfaces Add pagination, search, and sorting to tables Customize table columns and operations Handle table events (save, update, delete) Export table data Implement table selection and batch operations Configure table forms for add/edit Use advanced CRUD features How to use this skill This skill is organized to match t...
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21993 oracle teachingai/full-stack-skills
oracle — best use Oracle bundles your prompt + selected files into one “one-shot” request so another model can answer with real repo context (API or browser automation). Treat output as advisory: verify against code + tests. Main use case (browser, GPT‑5.2 Pro) Default workflow here: --engine browser with GPT‑5.2 Pro in ChatGPT. This is the common “long think” path: ~10 minutes to ~1 hour is normal; expect a stored session you can reattach to. Recommended defaults: Engine: browser ( --engine bro...
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21994 content-analysis liangdabiao/claude-data-analysis-ultra-main
Content Analysis Skill Analyze text content using advanced NLP techniques and LLM-powered insights to extract sentiment, topics, and actionable intelligence from various content sources. Quick Start This skill helps you: Analyze sentiment using both traditional NLP and LLM methods Extract topics and keywords from large text datasets Classify and cluster content automatically Identify viral content patterns and characteristics Generate content insights and recommendations Support multiple lan...
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21995 rag-skills llama-farm/llamafarm
RAG Skills for LlamaFarm Framework-specific patterns and code review checklists for the RAG component. Extends: python-skills - All Python best practices apply here. Component Overview Aspect Technology Version Python Python 3.11+ Document Processing LlamaIndex 0.13+ Vector Storage ChromaDB 1.0+ Task Queue Celery 5.5+ Embeddings Universal/Ollama/OpenAI Multiple Directory Structure rag/ ├── api.py Search and database APIs ├── celery_app.py Celery configuration ├── ma...
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21996 golang-enterprise-patterns 89jobrien/steve
This skill provides guidance on enterprise-level Go application architecture, design patterns, and production-ready code organization. When to Use This Skill - When designing new Go applications with complex business logic - When implementing clean architecture or hexagonal architecture - When applying Domain-Driven Design (DDD) principles - When organizing large Go codebases - When establishing patterns for team consistency Clean Architecture Layer Structure ``` /cmd /api ...
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21997 troubleshooting-regression oimiragieo/agent-studio
Troubleshooting Regression Use this skill when the framework appears stale, stuck, or regressed and you need deterministic diagnosis plus fix verification. When to Use Claude debug sessions stall after spawning agents. Hooks block expected actions unexpectedly. Memory/search/token-saver enforcement appears inconsistent. A regression needs a repeatable reproduction and validation run. Iron Law Do not declare a regression fixed without: reproducible trigger prompt, trace evidence from pnpm trace:q...
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21998 assembly-x86 mohitmishra786/low-level-dev-skills
x86-64 Assembly Purpose Guide agents through x86-64 assembly: reading compiler output, understanding the ABI, writing inline asm, and common patterns. Triggers "How do I read the assembly GCC generated?" "What are the x86-64 registers?" "What is the calling convention on Linux/macOS?" "How do I write inline assembly in C?" "How do I use SSE/AVX intrinsics?" "This assembly uses %rsp / %rbp — what does it mean?" Workflow 1. Generate and read assembly AT&T syntax (GCC default) gcc -S -O2 -fverbose...
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21999 dependency-auditor borghei/claude-skills
Dependency Auditor Skill Type: POWERFUL Category: Engineering Domain: Dependency Management & Security Overview The Dependency Auditor is a comprehensive toolkit for analyzing, auditing, and managing dependencies across multi-language software projects. This skill provides deep visibility into your project's dependency ecosystem, enabling teams to identify vulnerabilities, ensure license compliance, optimize dependency trees, and plan safe upgrades. In modern software development, dependencies f...
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22000 modelscope-zimage-generator haiyuan-ai/agent-skills
ModelScope Z-Image Generator Skill Generate images using ModelScope's Z-Image series models with async polling flow. When to Use This Skill 场景 中文表达示例 English Examples 生成图片 "生成一张图片"、"画一只猫"、"创建封面图" "generate an image", "create a picture", "make a cover" 艺术创作 "画一幅画"、"创作艺术品" "create artwork", "paint a picture" 批量生成 "多生成几张"、"并行生成" "generate multiple", "parallel generation" Core Workflow 1. 解析用户请求 确定生成需求： 文本生成图片：文生图 LoRA 定制：指定风格模型 批量生成：多张图片 2. 选择模型 根据用户指定选择模型： 用户明确说 "Z-Image-Turbo" → Tongyi-MAI/Z-Imag...
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