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AI Agent Skill Architecture & Development Cheat Sheet
A comprehensive cheat sheet for AI Agent Skill architecture: comparing casual chat vs skill-based execution, detailing the 4 core components of a production skill, analyzing the 5-tier Prompt/Tool/Skill/Workflow/Agent hierarchy, and providing a standardized SKILL.md template with 5 golden engineering rules.
Core AI Algorithms Cheat Sheet: From Classical ML to Foundation Models & Vector Search
A production-tested reference guide distilling the 27 most essential algorithms used in modern AI engineering: covering classical supervised learning, gradient-boosted trees, clustering and vector search (HNSW), deep architectures and optimizers (AdamW), and LLM alignment (DPO, PPO).
Four Leading Always-on Autonomous Agents Comparison Cheat Sheet: Meta Muse, Grok Bot, OpenAI dots, and Manus Cue
A comprehensive comparative cheat sheet analyzing 4 leading Always-on persistent AI agents (Meta Muse, Grok Bot, OpenAI dots, Manus Cue): evaluating product positioning, persistent cloud environments, real-world execution, digital identity, multi-agent swarms, and decision selection matrices.
LLM & AI Agent Technical Concepts Master Cheat Sheet
A comprehensive reference taxonomy of modern Large Language Models (LLMs) and Autonomous AI Agents across 8 technical tiers: Foundations, Model Architecture, Intelligence, Knowledge Augmentation, Agent Core, Engineering, Governance, and Applications, featuring deep dives on RoPE, Tool vs Skill, and MCP vs A2A.