Turn a local skill library into agent-ready documentation

<p>If you've been using AI coding agents like Claude Code, OpenClaw, Codex CLI, or Cursor, you've probably seen people talking about "skills" — packaged instructions that make

<p><a href="https://chainofthought.show/guests/sterling-chin/" rel="noopener noreferrer">Sterling Chin</a>, an applied AI engineer and senior developer advocate at Postman,

<p>If you're new to agent skills, start with my beginner guide first:</p> <p><a href="https://dev.to/debs_obrien/what-are-agent-skills-beginners-guide-e2n">What Are Agent Skills?

<ul> <li>GitHub repository: <a href="https://github.com/gezilinll/agent-grove" rel="noopener noreferrer">https://github.com/gezilinll/agent-grove</a> </li> <li>Online

<p>On March 31, 2026, Anthropic accidentally shipped the entire source code of Claude Code — its flagship AI coding agent — inside a routine npm update. No hack. No reverse

<p>Most developers who build AI agents make the same mistake: they spend weeks designing the orchestration layer, tuning the system prompt, and picking the right model — then hand

<p><strong>TL;DR:</strong> I built the same browser agent twice — once with 500 lines of Python, once with 7 lines of JSON. The second one took 5 minutes. The agent harness layer

<p>I read the phrase "spec-driven development" and immediately decided it was for people without taste. Six months later, Claude Code generated a discount system that applied