What are Claude Code Skills?

Claude Code Skills are reusable prompt templates stored as markdown files in your project's .claude/skills/ directory. They let you codify best practices and common workflows into slash commands that Claude follows consistently.

How do I create a Claude Code Skill?

Create a markdown file in .claude/skills/ with instructions for Claude. The filename becomes the command name — for example, .claude/skills/code-review.md can be invoked with /code-review during a Claude Code session.

Can I share skills with my team?

Yes. Skills stored in .claude/skills/ can be committed to version control so every team member has access to the same standardized workflows. You can also organize skills into subdirectories by category.

What is the difference between project and global skills?

Project skills (.claude/skills/) are specific to the current project and are committed to git. Global skills (~/.claude/skills/) are personal skills available across all your projects.

trading-ideas

New

Community RegistryCode Reviewby quant-sentiment-ai

Institutional-grade equity research reports via /trading-ideas command. Analyzes company financials, technical indicators, market positioning, insider activity, and provides BUY/SELL/HOLD recommendations with price targets.

Install & Usage

Create the skills directory

mkdir -p .claude/skills

Download the skill file

mkdir -p .claude/skills && curl -o .claude/skills/trading-ideas.md https://raw.githubusercontent.com/quant-sentiment-ai/claude-equity-research/main/SKILL.md

Invoke in Claude Code

/trading-ideas

View source on GitHub

financeequity-researchtradingstock-analysisinvestmentfundamental-analysistechnical-analysisai-powered

Frequently Asked Questions

What is trading-ideas?

How to install trading-ideas?

To install trading-ideas, create the .claude/skills directory in your project, then run the curl command to download the skill file. Once installed, invoke it in Claude Code with /trading-ideas.

What is trading-ideas best for?

trading-ideas is a community categorized under Code Review. It is designed for: finance, equity-research, trading, stock-analysis, investment, fundamental-analysis, technical-analysis, ai-powered. Created by quant-sentiment-ai.