mcpbeat

LLM Runtime Architecture

agentlas-ai/llm-runtime-architecture

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

196 tokens
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the whole folder, loaded on every use
1
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instructions only
0
copies elsewhere
how many repositories repackaged it
1165
stars on the repo
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/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.