jiang-irac-refusal
InstallTrademark 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.
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Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install jiang-irac-refusalOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install jiang-irac-refusalā ļø Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js ā
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/jiang-irac-refusal/š”Extract and place the folder at the path above, then restart your agent.
Category
š ļøGeneral ToolsPlatforms
What Jiang Liliļ½CNIPA Trademark Rejection Review Evidence Inference Engine (SJ-IRAC) can do for your AI workflow
Trademark rejection review directly from your Claude conversation
Works across Claude, Cursor, OpenClaw ā install once, use everywhere
Trusted by 1,637+ developers worldwide
One-command installation ā no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Jiang Liliļ½CNIPA Trademark Rejection Review Evidence Inference Engine (SJ-IRAC)
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Explains what Jiang Liliļ½CNIPA Trademark Rejection Review Evidence Inference Engine (SJ-IRAC) does, walks through the setup, and runs a quick demo based on your current project
Use Jiang Liliļ½CNIPA Trademark Rejection Review Evidence Inference Engine (SJ-IRAC) to trademark rejection review reasoning engine (SJ-IRAC): Facing the C...
Invokes Jiang Liliļ½CNIPA Trademark Rejection Review Evidence Inference Engine (SJ-IRAC) with the right parameters and returns the result directly in the conversation
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Jiang Liliļ½CNIPA Trademark Rejection Review Evidence Inference Engine (SJ-IRAC) extends your AI assistant with the ability to 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. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly ā and it will take care of the task end-to-end, using Jiang Liliļ½CNIPA Trademark Rejection Review Evidence Inference Engine (SJ-IRAC) as its underlying capability.
Jiang Liliļ½CNIPA Trademark Rejection Review Evidence Inference Engine (SJ-IRAC) works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) ā an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Jiang Liliļ½CNIPA Trademark Rejection Review Evidence Inference Engine (SJ-IRAC) once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
To install Jiang Liliļ½CNIPA Trademark Rejection Review Evidence Inference Engine (SJ-IRAC), copy the skill folder to `~/.claude/skills/jiang-irac-refusal/` for use across all your projects, or `.claude/skills/jiang-irac-refusal/` for a single project. Restart Claude and the skill is immediately active ā invoke it with `/jiang-irac-refusal` or just describe your goal and the AI will pick it up automatically.
Jiang Liliļ½CNIPA Trademark Rejection Review Evidence Inference Engine (SJ-IRAC) has been installed 1,637 times, making it one of the more actively used skills in the General Tools category. The install rate suggests it solves a real, recurring need rather than a niche edge case. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/jiang-irac-refusal/ for personal use (all projects), or .claude/skills/jiang-irac-refusal/ for project-specific use. Restart your AI client, then invoke with /jiang-irac-refusal or let the AI discover it automatically.
Jiang Liliļ½CNIPA Trademark Rejection Review Evidence Inference Engine (SJ-IRAC) supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Jiang Liliļ½CNIPA Trademark Rejection Review Evidence Inference Engine (SJ-IRAC) is free to install. Check the repository for licensing information.
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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.
Jiang Liliļ½CNIPA Trademark Rejection Review Evidence Inference Engine (SJ-IRAC) is categorized under General Tools. These skills help AI agents perform specialized tasks in this domain.