How to Get Started with Jiang Lili｜CNIPA Trademark Rejection Review Evidence Inference Engine (SJ-IRAC) in Your AI Workflow

Jiang Lili｜CNIPA Trademark Rejection Review Evidence Inference Engine (SJ-IRAC) is a powerful AI agent skill that extends your assistant with new capabilities. Trademark rejection review reasoning engine (SJ-IRAC): Facing the CNIPA rejection notice's element-based argumentation, evidence chain engineering and A-E risk gate, it outputs a review material structure that is readable by the examiner and can be submitted directly. This guide walks you through installing Jiang Lili｜CNIPA Trademark Rejection Review Evidence Inference Engine (SJ-IRAC), configuring it for your setup, and running your first commands — so you can start getting value in minutes.

Step-by-Step Guide

1. 1

   Install Jiang Lili｜CNIPA Trademark Rejection Review Evidence Inference Engine (SJ-IRAC): npx clawhub@latest --dir ~/.claude/skills install jiang-irac-refusal

2. 2

   Restart your AI client (Claude Code, Cursor, Gemini CLI, or OpenClaw)

3. 3

   Type a natural language request related to general tools to trigger Jiang Lili｜CNIPA Trademark Rejection Review Evidence Inference Engine (SJ-IRAC)

4. 4

   Review the output and refine your prompt for better results

5. 5

   Combine Jiang Lili｜CNIPA Trademark Rejection Review Evidence Inference Engine (SJ-IRAC) with other skills to build multi-step workflows

Example Prompts

Copy these prompts and use them with your AI agent after installing Jiang Lili｜CNIPA Trademark Rejection Review Evidence Inference Engine (SJ-IRAC)

More Use Cases for Jiang Lili｜CNIPA Trademark Rejection Review Evidence Inference Engine (SJ-IRAC)