AI-powered code review for Q/kdb+ β catch bugs in the most terse language in finance
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Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install q-kdb-code-reviewOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install q-kdb-code-reviewβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
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/q-kdb-code-review/π‘Extract and place the folder at the path above, then restart your agent.
Category
π»Developer & DevOpsPlatforms
What Q Kdb Code Review can do for your AI workflow
Ai-powered code review directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Q Kdb Code Review
Help me get started with Q Kdb Code Review
Explains what Q Kdb Code Review does, walks through the setup, and runs a quick demo based on your current project
Use Q Kdb Code Review to aI-powered code review for Q/kdb+ β catch bugs in the most terse la...
Invokes Q Kdb Code Review with the right parameters and returns the result directly in the conversation
What can I do with Q Kdb Code Review in my developer & devops workflow?
Lists the top use cases for Q Kdb Code Review, with example commands for each scenario
Guides & tutorials for AI skills
Q Kdb Code Review extends your AI assistant with the ability to aI-powered code review for Q/kdb+ β catch bugs in the most terse language in finance. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Q Kdb Code Review as its underlying capability.
Q Kdb Code Review works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Q Kdb Code Review 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.
Q Kdb Code Review installs like any other MCP skill: drop the folder into `~/.claude/skills/q-kdb-code-review/` for global access, or `.claude/skills/q-kdb-code-review/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/q-kdb-code-review`, or let the AI decide when it's the right tool for your request.
Q Kdb Code Review has 630 installs and is part of the growing Developer & DevOps skill ecosystem on DiscoverAISkills. The source code is open on GitHub β you can inspect it, contribute fixes, or fork it to adapt the skill for your specific setup. 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/q-kdb-code-review/ for personal use (all projects), or .claude/skills/q-kdb-code-review/ for project-specific use. Restart your AI client, then invoke with /q-kdb-code-review or let the AI discover it automatically.
Q Kdb Code Review supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Q Kdb Code Review is free to install. Check the repository for licensing information.
AI-powered code review for Q/kdb+ β catch bugs in the most terse language in finance
Links
Automate my developer & devops tasks using Q Kdb Code Review
Identifies repetitive steps in your workflow and sets up Q Kdb Code Review to handle them automatically
MCP vs traditional plugins: what's the difference?
Q Kdb Code Review is categorized under Developer & DevOps. These skills help AI agents perform specialized tasks in this domain.