smart-router-omni

# Smart Router Omni Start broad, then specialize. Default to universal routing, and switch into OpenClaw-aware mode when the environment supports it. ## Load the right reference - Read `references/scoring-rubric.md` before scoring candidates. - Read `references/ambiguity-and-fallbacks.md` when confidence is weak or constraints are missing. - Read `references/environment-detection.md` before deciding whether to stay in universal mode or enter OpenClaw mode. - Read `references/chain-patterns.md` when the request obviously spans several phases. - Read `references/research-notes-2026-03.md` when you need the design rationale. ## Workflow 1. Normalize the request into a task card: - goal - expected artifact - domain - required actions - constraints - environment dependencies 2. Detect the environment using `references/environment-detection.md`: - universal mode - OpenClaw-aware mode 3. Scan visible skill roots conservatively: - read `SKILL.md` frontmatter first - inspect `agents/openai.yaml` only for shortlisted candidates 4. Apply hard filters before ranking: - missing tools - missing login or auth - wrong output type - platform mismatch - safety or policy mismatch 5. Score viable candidates with `references/scoring-rubric.md`. 6. If one skill can finish the task, recommend that skill. 7. If the task spans phases, recommend a short chain using `references/chain-patterns.md`. 8. If confidence is low, ask compact clarification questions instead of forcing a route. 9. Output: - recommended skill or chain - confidence - why it won - prerequisites - fallbacks - clarifying questions if needed ## Routing policy - Prefer explicit capability claims in `description` over name similarity. - Prefer specialist skills when the task, artifact, and dependencies are clear. - Prefer workflow skills when the request is end-to-end. - Prefer the smallest route that can finish the task well. - In OpenClaw-aware mode, treat browser, publishing, memory, and account-bound skills as dependency-sensitive. - Abstain and clarify when the top candidates are close. ## Standard output ```md [Routing Decision] Mode: universal | openclaw-aware Request: ... Recommended skill: ... Confidence: high | medium | low Why it fits: ... Missing checks or prerequisites: ... Fallbacks: ... Suggested chain: ... Clarifying question(s): ... ``` ## Guardrails - Do not rely on a fixed handwritten route table as the primary method. - Do not read every full `SKILL.md` before shortlisting. - Do not recommend unavailable skills. - Do not hide uncertainty when the top candidates are close. - Do not force one skill when a chain is clearly better. ## Exit condition Finish with one recommended skill or skill chain, an explicit mode, a confidence level, key reasons, fallbacks, and any blocking unknowns. --- ## Copyright & License **Copyright (c) 2026 龙虾 (Lobster)** **All Rights Reserved.** This skill is proprietary and confidential. The source code, algorithms, documentation, and any accompanying materials are protected by copyright law and international treaties. **You may NOT:** - Copy, modify, or distribute the source code or documentation - Create derivative works based on this skill - Use this skill as a template or baseline for developing competing products - Reverse engineer, decompile, or disassemble any components - Remove or alter any proprietary notices or copyright labels **You MAY:** - Install and use this skill in your OpenClaw installation - Receive updates and support as provided by the author For licensing inquiries or custom development, contact the author directly.