
How to Install and Use Taste Skill 2.1 for AI-Built Websites
Taste Skill 2.1 gives coding agents 20 design directions, public-domain photos and a browser inspector. Here is how to install it and where it falls short.
Learn how AI agent harnesses and skills work in practice. Covers hooks, SKILL.md files, context management, and tailoring a harness to a specific task.

Taste Skill 2.1 gives coding agents 20 design directions, public-domain photos and a browser inspector. Here is how to install it and where it falls short.

Set up Panda Code agent teams: cheap, balanced and best modes, router-first dispatch, retries, harness failover, model pauses and the S-to-D tier list.

Google's EGM plugin has an agent write a design doc, then fresh sub-agents review it. Install steps for Claude Code, Codex and Antigravity, plus commands.

An AI second brain needs four parts: context, connections, capabilities and cadence. See how to build one with Claude Code and Obsidian, and audit each part.

Anthropic argues teams overuse sub-agents. Learn the keep-in-loop test, the skills/tools/lookup split, the 30 to 50 tool limit, and how to fold safely.

Design an agent harness for your own tasks: tiny prompts, on-demand skills, scripts, sub-agents, control-loop hooks, and where self-evolution breaks.

Lean REA is an 8KB skill file that replaces the 207-tool REA MCP server. Compare speed, cost, turns and context use using the Sonnet 5.5 benchmark figures.

Learn how two loops, escalation memory and trace-based fixes in LangSmith Engine, help a production agent learn from mistakes while humans stay in control.

An AI skill file (SKILL.md) is a markdown folder of instructions an agent loads on demand. Learn the format, token costs, and how it compares to MCP servers.

SKILL.md skills files are plain-text onboarding guides for AI agents. Here's how progressive disclosure works, why sprawl and security risks are real, and how skills pair with MCP.

Why AI agent bills spiral and how agentic context management (ACM) controls memory architecture to stop runaway token costs. A practitioner's breakdown.

AI agent harnesses sandbox, log, and secure coding agents. Here's what they are, why DeepSeek, Zed, and OneCLI are all building one, and how they work.

An AI harness is the software around a language model that turns it into an agent. Here's what it does and how open-source servers use it.