name: friday-router displayName: IntentRouter description: Your AI's Smart Traffic Director—precisely matching OpenClaw tasks to the perfect LLM. Intelligent orchestration with OpenRouter. Security-focused: no gateway auth exposure. version: 1.7.0

IntentRouter

Your AI's Smart Traffic Director: Precisely Matching Your OpenClaw Tasks to the Perfect LLM.

v1.7.0 — Security-focused release. COMPLEX tier, absolute paths. Tested and working with OpenClaw TUI delegation. Removed gateway auth secret exposure and gateway management for improved security.

IntentRouter analyzes your tasks and directs them to the best LLM—MiniMax 2.5 for code, Kimi k2.5 for creative, Grok Fast for research. Eliminate guesswork; route with purpose.

Security improvements in v1.7.0: Removed gateway auth token/password from router output. Gateway management removed - use gateway-guard skill separately. FACEPALM integration removed - use FACEPALM skill separately.

Requirements: OpenRouter — All model IDs use the openrouter/... prefix. Configure OpenClaw with an OpenRouter API key so one auth profile covers every tier.

Config access: This skill reads ONLY its own config.json file (located in the skill directory) for model configuration and routing rules. It does NOT read openclaw.json, does NOT access gateway tokens/passwords, and does NOT perform any gateway management operations. Router output contains only: task, model, sessionTarget, and optional label — no secrets or credentials.

Default / orchestrator model: Gemini 2.5 Flash (openrouter/google/gemini-2.5-flash) — fast, cheap, reliable at tool-calling. The router delegates tasks to tier-specific sub-agents (Kimi for creative, MiniMax 2.5 for code, etc.).

Orchestrator flow (mandatory for task requests)

When you are the main agent (Gemini 2.5 Flash) and the user gives you a task (code, research, write, create, design, poem, story, fix, build, etc.), you must delegate it. You do not perform the task yourself; a sub-agent does.

Steps (all three required):

1. Run IntentRouter to get spawn params:

   python3 workspace/skills/friday-router/scripts/router.py spawn --json "<user message>"
   

   Example output: {"task":"write a poem about Mai","model":"openrouter/moonshotai/kimi-k2.5","sessionTarget":"isolated"}

2. Immediately call sessions_spawn with the router's output. Use the exact model from the JSON. Example:

   sessions_spawn(task="write a poem about Mai", model="openrouter/moonshotai/kimi-k2.5", sessionTarget="isolated")
   

   Do not change the model value. If the router said openrouter/moonshotai/kimi-k2.5, pass exactly that.