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LLM Runtime Architecture

agentlas-ai/agentlas-os-llm-runtime-architecture

Use when designing how one canonical agent core runs across Codex, Claude Code, Gemini CLI, Cursor, and AGENTS.md-compatible tools.

This is a copy. The original lives at agentlas-ai/llm-runtime-architecture.

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on the repository, not the skill itself

Install

one command, takes just this skill from the repository 
npx skills add https://github.com/agentlas-ai/Agentlas-OS --skill llm-runtime-architecture

The instruction itself

3 sections, as written by the author

LLM Runtime Architecture

Procedure

  • Keep AGENTS.md as the canonical behavior contract.
  • For each runtime, name entry point, global command, adapter files, available

tools, memory access, limitations, and verification command.

  • Keep adapters thin and point them back to the canonical core.
  • Write or repair .agentlas/global-commands.json when creating or packaging

an agent.

  • State unsupported capabilities explicitly.

Output

Return a runtime matrix with runtime, entry_point, global_command,

adapter_files, memory_access, limitations, and verification.

How to use it

Copy the folder

Take agentlas-ai/agentlas-os-llm-runtime-architecture from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.