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Found 635 Skills
Guidance for dependency injection in .NET MAUI apps — service registration, lifetime selection (Singleton/Transient/Scoped), constructor injection, automatic resolution via Shell navigation, explicit resolution patterns, platform-specific registrations, and testability best practices. USE FOR: "dependency injection", "DI registration", "AddSingleton", "AddTransient", "AddScoped", "service registration", "constructor injection", "IServiceProvider", "MauiProgram DI", "register services". DO NOT USE FOR: data binding (use maui-data-binding), Shell route setup (use maui-shell-navigation), or unit test mocking patterns (use maui-unit-testing).
Novita AI: LLM, Image Generation & Editing, Video Generation, Audio (TTS/ASR), and GPU Cloud. Use this skill whenever the user wants to call Novita AI APIs — chat with LLMs (DeepSeek, Llama, Qwen), generate images (FLUX, Stable Diffusion, Seedream, Hunyuan Image), edit images (remove background, upscale, inpainting, img2img, outpainting, reimagine, merge face, replace background, remove text), generate videos (Kling, Wan, Hunyuan, Minimax Hailuo, Vidu, PixVerse, Seedance), do text-to-speech or speech-to-text (MiniMax TTS, GLM TTS, Fish Audio, ASR, voice cloning), run OpenAI-compatible batch jobs, manage GPU cloud instances and serverless endpoints, or check account balance and billing. Also trigger when the user mentions novita.ai, Novita AI, Novita API key, or wants to use any Novita platform service — even if they just say "generate an image" or "run an LLM" and Novita is available as a provider.
Extract people who engage (comment, react, repost) on any LinkedIn post, enrich their emails and company data, and upload to an Extruct people table for outreach. Supports multiple LinkedIn scraping providers (Anysite MCP, RapidAPI, Apify, Phantombuster, etc.). Triggers on: "post engagers", "linkedin engagers", "who commented on", "who liked", "who reacted", "linkedin post engagers", "scrape post", "extract engagers", "post commenters".
AI prompt orchestration CLI using reusable Patterns. Use for YouTube summarization, document analysis, content extraction, code explanation, writing assistance, and any AI task via stdin/stdout piping across 20+ providers.
Install official tech brand logos from the Elements registry. Use when user needs logos for tech companies (Clerk, Vercel, GitHub, etc.), AI providers (OpenAI, Anthropic, Claude), social platforms, or any brand assets. Triggers on "logo", "brand", "icon for [company]", "add [company] logo", placeholder logo detection, or when building landing pages, auth UIs, or integrations showcases.
Agnostic tunnel management supporting Cloudflare, Tailscale, and other providers. Inspired by ZeroClaw's agnostic tunnel architecture.
Instrument an existing codebase with LaunchDarkly AI Config tracking. Walks the four-tier ladder (managed runner → provider package → custom extractor + trackMetricsOf → raw manual) and picks the lowest-ceremony option that still captures duration, tokens, and success/error.
Use Neo4j GenAI Plugin ai.text.* functions and procedures for in-Cypher embedding generation, text completion, structured output, chat, tokenization, and batch ingestion. Covers ai.text.embed(), ai.text.embedBatch(), ai.text.completion(), ai.text.structuredCompletion(), ai.text.aggregateCompletion(), ai.text.chat(), ai.text.tokenCount(), ai.text.chunkByTokenLimit(), and provider configuration for OpenAI, Azure OpenAI, VertexAI, and Amazon Bedrock. Requires CYPHER 25. Replaces deprecated genai.vector.encode(). Use when writing pure-Cypher GraphRAG, embedding nodes in-graph, generating structured maps from prompts, or calling LLMs inside Cypher queries. Does NOT handle neo4j-graphrag Python library pipelines — use neo4j-graphrag-skill. Does NOT handle vector index creation/search — use neo4j-vector-index-skill.
Instrument an existing codebase with LaunchDarkly config tracking. Walks the four-tier ladder (managed runner → provider package → custom extractor + trackMetricsOf → raw manual) and picks the lowest-ceremony option that still captures duration, tokens, and success/error.
Submit GitHub issues, feature requests, bug reports, product suggestions, and feedback to the ZenMux repository (ZenMux/zenmux-doc). Use this skill whenever the user wants to: report a bug, request a feature, suggest a product improvement, give feedback, request support for a new model or provider, report a documentation issue, or share their experience. Trigger on phrases like: "submit issue", "file a bug", "feature request", "report a problem", "I have an idea", "提交issue", "提反馈", "功能建议", "报告bug", "产品建议", "提个需求", "新增模型", "新增供应商", "文档问题", "我想提个建议", "提交建议". If the user is describing a ZenMux problem or product idea and would benefit from submitting it formally, proactively offer to help them create an issue.
Build, deploy, and maintain applications on Hugging Face Spaces — Gradio / Docker / Static SDKs, ZeroGPU and dedicated hardware, model loading, debugging, buckets, inference providers, community grants. Use whenever the user asks to create or host an app on Hugging Face, port code onto ZeroGPU, fix a Space that won't build or run, or otherwise work with `hf spaces …`, `@spaces.GPU`, Space README frontmatter, or the `spaces` Python package.
Build with Firebase Authentication - email/password, OAuth providers, phone auth, and custom tokens. Use when: setting up auth flows, implementing sign-in/sign-up, managing user sessions, protecting routes, or troubleshooting auth/invalid-credential, auth/popup-closed, auth/user-not-found, or token refresh errors. Prevents 12 documented errors.