Total 31,080 skills, AI & Machine Learning has 5026 skills
Showing 12 of 5026 skills
Large Language Model development, training, fine-tuning, and deployment best practices.
Proactive context window management via token monitoring, intelligent extraction, and selective rehydration. Features predictive budget monitoring, context health indicators, and priority-based retention. Use when approaching token limits or needing to preserve essential context. Complements /transcripts and PreCompact hook with proactive optimization.
Comprehensive knowledge of amplihack framework architecture, patterns, and usage
Structured multi-perspective debate for important architectural decisions and complex trade-offs
6-phase investigation workflow for understanding existing systems. Auto-activates for research tasks. Optimized for exploration and understanding, not implementation. Includes parallel agent deployment for efficient deep dives and automatic knowledge capture to prevent repeat investigations.
Creates, refines, and validates Claude Code skills following amplihack philosophy and official best practices. Automatically activates when building, creating, generating, or designing new skills.
Learn how to enhance your CMS like PocketBase with AI-powered content recommendations using text embeddings, SQLite, and k-nearest neighbor search for efficient and scalable related content suggestions.
Generates hyper-optimized YouTube Shorts/Instagram Reels scripts with personality-specific styles while enforcing strict anti-AI-slop writing rules
Enables Claude to browse Amazon Fresh groceries, manage lists, and track deliveries
Break LLM name defaults with external entropy. Use when character names cluster around statistical medians (Chen, Patel, Maya, Marcus), when cast has collision risks, or when fantasy cultures need phonologically consistent naming.
Generate optimized prompts for Gemini 2.5 Flash Image (Nano Banana). Use for image generation, crafting photo prompts, art styles, or multi-turn editing workflows with best practices.
Persistent memory architecture for AI agents across sessions. Episodic memory (past events), procedural memory (learned skills), semantic memory (knowledge graph), short-term memory (active context). Use when implementing cross-session persistence, skill learning, context preservation, personalization, or building truly adaptive AI systems with long-term memory.