AI-driven multi-factor analysis of stocks - check self-selection, read reports, trigger analysis, and check quotas. Supports US stocks, cryptocurrencies, and A-shares.
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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 market-sensorOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install market-sensorβ 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/market-sensor/π‘Extract and place the folder at the path above, then restart your agent.
Category
πFinance & InvestmentPlatforms
What MarketSensor can do for your AI workflow
Ai-driven multi-factor 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 MarketSensor
Help me get started with MarketSensor
Explains what MarketSensor does, walks through the setup, and runs a quick demo based on your current project
Use MarketSensor to aI-driven multi-factor analysis of stocks - check self-selection, r...
Invokes MarketSensor with the right parameters and returns the result directly in the conversation
What can I do with MarketSensor in my finance & investment workflow?
Lists the top use cases for MarketSensor, with example commands for each scenario
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MarketSensor extends your AI assistant with the ability to aI-driven multi-factor analysis of stocks - check self-selection, read reports, trigger analysis, and check quotas. Supports US stocks, cryptocurrencies, and A-shares. 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 MarketSensor as its underlying capability.
MarketSensor 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 MarketSensor 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.
Getting started with MarketSensor takes about two minutes. Place the skill at `~/.claude/skills/market-sensor/` (personal, all projects) or `.claude/skills/market-sensor/` (project-specific), then restart your AI client. From that point, typing `/market-sensor` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
MarketSensor has 71 installs and is part of the growing Finance & Investment skill ecosystem on DiscoverAISkills. 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/market-sensor/ for personal use (all projects), or .claude/skills/market-sensor/ for project-specific use. Restart your AI client, then invoke with /market-sensor or let the AI discover it automatically.
MarketSensor supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
MarketSensor is free to install. Check the repository for licensing information.
AI-driven multi-factor analysis of stocks - check self-selection, read reports, trigger analysis, and check quotas. Supports US stocks, cryptocurrencies, and A-shares.
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