LLM Runtime Architecture
Use when designing how one canonical agent core runs across Codex, Claude Code, Gemini...
Install
npx skills add agentlas-ai/Agentlas-OS --skill llm-runtime-architecture -g -a claude-code -y- Repository
- agentlas-ai/Agentlas-OS1.6k
- Category
- Design
- Updated
- 4d ago
- License
- Apache-2.0
- Context cost
- Lightabout 150 tokens
- Runs scripts
- No, instructions only
What it does
Use when designing how one canonical agent core runs across Codex, Claude Code, Gemini CLI, Cursor, and AGENTS.md-compatible tools.
LLM Runtime Architecture
Procedure
- Keep
AGENTS.mdas 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.jsonwhen 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.
