runtime-adapters
Use when creating Codex, Claude Code, Gemini CLI, Cursor, or AGENTS.md runtime adapters from one canonical agent core. Use whenever a generated repo needs multiple AI runtimes without duplicating instructions.
git clone --depth 1 https://github.com/agentlas-ai/Agentlas-OS /tmp/runtime-adapters && cp -r /tmp/runtime-adapters/.agents/skills/runtime-adapters ~/.claude/skills/runtime-adaptersSKILL.md
# Runtime Adapters ## Rules - `AGENTS.md` is canonical. - `.claude/`, `.codex/`, `.gemini/`, `.cursor/`, and root `skills/` are thin adapters or mirrors. - `.agentlas/global-commands.json` records the command each adapter exposes. - Adapter text should point back to `AGENTS.md`. - Do not claim identical behavior across runtimes. Say the canonical core is portable and each adapter maps it into local conventions. ## Required Adapters - Codex: plugin manifest plus skill and `commands/<slug>.md`. - Claude Code: command, agent, and skill adapter under `.claude/commands/`. - Gemini CLI: `GEMINI.md` plus `.gemini/commands/<slug>.toml`. - Generic: root `AGENTS.md` with the command alias documented.
Use when designing a new multi-agent team, visible agents folder, role boundaries, handoff flow, PM Soul, Memory Curator, Policy Gate, or evaluation role. Use for agent-team repo creation even when the user only says they want a meta-agent or agent operating system.
Use when adding or auditing local runtime behavior that turns a project folder into an Agentlas-aware workspace with .agentlas memory and sitemap files.
Use the Agentlas browser hardpoint for browser-required work.
Use when the user types /agentlas-build, /agentlas build, or /hep-build to design, build, and package a single agent or multi-agent team.
Prepare explicitly named Agentlas Hub or Cloud agents.
Use when the user types /agentlas-cloud, /agentlas cloud, or /hep-cloud to staff only from the signed-in owner's private Cloud packages.
Connect Agentlas agents or teams to Telegram.
Use when creating a single Agentlas agent, creating a multi-agent team, or packaging an existing local/external agent into Agentlas architecture. Make sure to use this for /meta-agent requests.