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@agentlas-aiInstall SkillAgent Orchestration
Skill
/llm-runtime-architecture
Use when designing how one canonical agent core runs across Codex, Claude Code, Antigravity, Cursor, and AGENTS.md-compatible tools.
Claude Code
$ npx -y skills add agentlas-ai/Agentlas-OS --skill llm-runtime-architecture --agent claude-code
Codex
$ npx skills add agentlas-ai/Agentlas-OS --skill llm-runtime-architecture -a codex -y
Cursor
$ npx skills add agentlas-ai/Agentlas-OS --skill llm-runtime-architecture -a cursor -y
Gemini CLI
$ npx skills add agentlas-ai/Agentlas-OS --skill llm-runtime-architecture -a gemini-cli -y
GitHub Copilot
$ npx skills add agentlas-ai/Agentlas-OS --skill llm-runtime-architecture -a github-copilot -y
OpenCode
$ npx skills add agentlas-ai/Agentlas-OS --skill llm-runtime-architecture -a opencode -y
Windsurf
$ npx skills add agentlas-ai/Agentlas-OS --skill llm-runtime-architecture -a windsurf -y
SKILL.md
llm-runtime-architecture.SKILL.mdname: llm-runtime-architecture description: "Use when designing how one canonical agent core runs across Codex, Claude Code, Antigravity, Cursor, and AGENTS.md-compatible tools."
LLM Runtime Architecture
Procedure
1. Keep `AGENTS.md` as the canonical behavior contract. 2. For each runtime, name entry point, global command, adapter files, available tools, memory access, limitations, and verification command. 3. Keep adapters thin and point them back to the canonical core. 4. Write or repair `.agentlas/global-commands.json` when creating or packaging an agent. 5. State unsupported capabilities explicitly.
Output
Return a runtime matrix with `runtime`, `entry_point`, `global_command`, `adapter_files`, `memory_access`, `limitations`, and `verification`.
Ships withagentlas-os
An open-source AI agent OS inspired by OpenAI Dots, Meta Muse, Claude Duet, Nous Hermes, and Mem0. Built to lead entire projects rather than isolated prompts. Model-agnostic (BYOM) and native to Claude Code, Codex, Cursor, Antigravity, and Agentlas Desktop.
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- Which coding agents can use llm-runtime-architecture?
- llm-runtime-architecture installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.