Content & Media

Tailwind CSS v4 principles. CSS-first configuration, container queries, modern patterns, design token architecture.

Expert guidance for fine-tuning LLMs with Axolotl - YAML configs, 100+ models, LoRA/QLoRA, DPO/KTO/ORPO/GRPO, multimodal support

Quick capture of raw thoughts with intelligent domain classification and competitive intelligence extraction

Database design principles and decision-making. Schema design, indexing strategy, ORM selection, serverless databases.

Use when creating or developing anything, before writing code or implementation plans - refines rough ideas into fully-formed designs through structured Socratic questioning, alternative exploration, and incremental validation

Modern React patterns and principles. Hooks, composition, performance, TypeScript best practices.

Main application building orchestrator. Creates full-stack applications from natural language requests. Determines project type, selects tech stack, coordinates agents.

Advanced vulnerability analysis principles. OWASP 2025, Supply Chain Security, attack surface mapping, risk prioritization.

Build frameworks from scattered insights across all braindumps and notes

Expert guidance for fine-tuning LLMs with LLaMA-Factory - WebUI no-code, 100+ models, 2/3/4/5/6/8-bit QLoRA, multimodal support

Smart dialogue manager for user communication. Clarifies unclear requests, asks the right questions, provides progress updates. Use when starting new projects, handling unclear requests, or communicating build status.

PC and console game development principles. Engine selection, platform features, optimization strategies.

Personalize COG for your workflow - creates profile, interests, and watchlist files with guided setup (run this first!)

Large Language and Vision Assistant. Enables visual instruction tuning and image-based conversations. Combines CLIP vision encoder with Vicuna/LLaMA language models. Supports multi-turn image chat, visual question answering, and instruction following. Use for vision-language chatbots or image understanding tasks. Best for conversational image analysis.

MCP (Model Context Protocol) server building principles. Tool design, resource patterns, best practices.

Native multi-agent orchestration using Claude Code's Agent Tool. Use when multiple independent tasks can run with different domain expertise or when comprehensive analysis requires multiple perspectives.

Framework for state-of-the-art sentence, text, and image embeddings. Provides 5000+ pre-trained models for semantic similarity, clustering, and retrieval. Supports multilingual, domain-specific, and multimodal models. Use for generating embeddings for RAG, semantic search, or similarity tasks. Best for production embedding generation.

Use when you've developed a broadly useful skill and want to contribute it upstream via pull request - guides process of branching, committing, pushing, and creating PR to contribute skills back to upstream repository

OpenAI's model connecting vision and language. Enables zero-shot image classification, image-text matching, and cross-modal retrieval. Trained on 400M image-text pairs. Use for image search, content moderation, or vision-language tasks without fine-tuning. Best for general-purpose image understanding.

Game design principles. GDD structure, balancing, player psychology, progression.