5 articles
Agent Skills is an open format for injecting contextual instructions into AI agents. A look at the standard, its progressive disclosure architecture, and skill-creator for industrializing skill production.
RTK compresses tool outputs. Caveman forces LLM brevity. DCP prunes context history. Three tools, three layers — and a counterintuitive argument: fewer tokens, better reasoning.
How to give an AI agent all the tools it needs to run, analyze, and see your application — and become truly autonomous in detecting and fixing errors.
A deep dive into the review-manager powering opencode-team-lead — how it selects reviewers, isolates their contexts, arbitrates disagreements, and produces a structured verdict without reading a single line of code.
On long tasks, an all-in-one agent loses track and reviews its own code with the same blind spots that produced it. I built opencode-team-lead to fix both problems with a strict delegation pattern.