Tag
#Agents
9posts
AI Berkshire Explained: Turning Claude Code and Codex into a Disciplined Investment Research Team
A practical breakdown of AI Berkshire: a multi-agent value investing framework with structured skills, bias guards, and financial rigor tooling.
Superpowers: The Workflow That Teaches AI Agents Discipline
Superpowers makes coding agents slow down, ask questions, write plans, and test first. The result is less flashy AI code, but much more trustworthy code.
Stop Context Rot: How Get Shit Done Powers the Ultimate 10x Agentic Engine
A deep dive into GSD (Get Shit Done), a powerful meta-prompting and context-engineering system that averts AI context rot for Claude, Gemini, and general AI agents.
Context Engineering: The Discipline That Separates Good AI Agents from Great Ones
Open-source toolkit for Context Engineering that teaches AI agents to pull only the context they need - cited in academic research.
Unleashing the Super Agent Harness: A Deep Dive into Bytedance's DeerFlow
Discover how DeerFlow 2.0 transforms from a deep research tool into a full-fledged agent harness with sandboxing, sub-agents, and persistent memory.
Massive Collection of System Prompts for Different AI Models (700 Items)
Massive collection of system prompts for different AI models: 700+ leaked items analyzed across Cursor, Manus, Windsurf, Devin, and Claude Code.
Hugging Face Skills: The 'Plug-and-Play' Mental Model for AI Agents
What are Hugging Face Skills? A mastery guide to empowering Claude Code, Cursor, and Gemini CLI with open-source ML capabilities.
AI Agents & Multi-Agent Systems: The 'Company of Robots' Mental Model
What's the difference between ChatGPT and an AI Agent? A mastery guide to tool calling, LangGraph orchestration, and why multi-agent is the architecture of 2026.
MCP (Model Context Protocol): The 'USB Port for AI' Mental Model
What is MCP and why is every AI tool adopting it in 2026? A mastery guide to Anthropic's open standard for connecting AI models to the real world.