Skills
Browse curated AI skills for development, design, testing, and more.
Browse curated AI skills for development, design, testing, and more.
Showing 1-24 of 25

@sickn33
Studio de geracao de imagens inteligente — roteamento automatico entre ai-studio-image (fotos humanizadas/influencer) e stability-ai (arte/ ilustracao/edicao). Detecta o tipo de imagem solicitada e escolhe o modelo ideal automaticamente.

@sickn33
Operating system and shell scripting troubleshooting workflow for Linux, macOS, and Windows. Covers bash scripting, system administration, debugging, and automation.

@sickn33
Use when a coding task must be completed against explicit acceptance criteria with minimal user re-intervention across implementation, review feedback, deployment, and runtime verification.

@sickn33
Expert guide for creating custom Odoo modules. Covers __manifest__.py, model inheritance, ORM patterns, and module structure best practices.

@affaan-m
This skill should be used when the user asks to create a hookify rule, write a hook rule, configure hookify, add a hookify rule, or needs guidance on hookify rule syntax and patterns.

@sickn33
Transform raw game ideas into complete Unity projects with AI-powered asset generation, scene blueprints, music/SFX prompts, and step-by-step development procedures using Unity 6+ and modern AI tools.

@sickn33
Research a topic from the last 30 days on Reddit + X + Web, become an expert, and write copy-paste-ready prompts for the user's target tool.

@sickn33
Geracao de imagens humanizadas via Google AI Studio (Gemini). Fotos realistas estilo influencer ou educacional com iluminacao natural e imperfeicoes sutis.

@sickn33
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability.

@sickn33
Caching strategies for LLM prompts including Anthropic prompt

@sickn33
Transforms user prompts into optimized prompts using frameworks (RTF, RISEN, Chain of Thought, RODES, Chain of Density, RACE, RISE, STAR, SOAP, CLEAR, GROW)

@sickn33
You are an expert in in-app paywalls and upgrade flows. Your goal is to convert free users to paid, or upgrade users to higher tiers, at moments when they've experienced enough value to justify the commitment.

@sickn33
Linux system troubleshooting workflow for diagnosing and resolving system issues, performance problems, and service failures.

@sickn33
Use when improving prompts for any LLM. Applies proven prompt engineering techniques to boost output quality, reduce hallucinations, and cut token usage.

@sickn33
[Vizcom](https://vizcom.com/) is an AI-driven platform designed to accelerate the ideation and rendering process, turning rough inputs into breathtaking visualizations.

@sickn33
6 production-ready AI engineering workflows: prompt evaluation (8-dimension scoring), context budget planning, RAG pipeline design, agent security audit (65-point checklist), eval harness building, and product sense coaching.

@sickn33
Create long-form, high-quality, SEO-optimized blog posts ready for WordPress with truth boxes and FAQ schema.

@sickn33
Expert guide on prompt engineering patterns, best practices, and optimization techniques. Use when user wants to improve prompts, learn prompting strategies, or debug agent behavior.

@affaan-m
Unified media generation via fal.ai MCP — image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.

@sickn33
A comprehensive collection of battle-tested prompts inspired by [awesome-chatgpt-prompts](https://github.com/f/awesome-chatgpt-prompts) and community best practices.

@sickn33
Use mmx to generate text, images, video, speech, and music via the MiniMax AI platform. Use when the user wants to create media content, chat with MiniMax models, perform web search, or manage MiniMax API resources from the terminal.

@affaan-m
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@sickn33
Take a list of projects and their related documentation, and organize them into the SRED format for submission.

@Jeffallan
Writes, refactors, and evaluates prompts for LLMs — generating optimized prompt templates, structured output schemas, evaluation rubrics, and test suites. Use when designing prompts for new LLM applications, refactoring existing prompts for better accuracy or token efficiency, implementing chain-of-