Turning Repository Knowledge Into Usable Agent Context

AI coding agents are getting better at writing code, but they still struggle with one thing that every real-world repository has: context. Not syntax. Not boilerplate. Context. That means understanding how a repo is structured, which commands are the right ones, how tests are run, what naming conventions are actually used, what tooling is configured, and what rules are implicit but never properly documented. That is the gap Agentskill is built to solve. Table of Contents Overview Why Agentskill Was Needed What Agentskill Actually Does Static CLI, But Also LLM Enrichment Multi-Language Support Use it as a Skill Why a Good AGENTS.md Matters Where Agentskill Makes the Difference Conclusion Overview Agentskill is a tool that analyzes a repository and turns what it finds into something coding agents can actually use. At its core, it helps generate a data-backed AGENTS.md instead of the usual vague, statistically guessed document that many LLM-driven workflows p