idea-generation
Stock screening and idea generation: quantitative screens, thematic analysis, shortlist
Profile →npx skills add ginlix-ai/LangAlpha --skill idea-generation --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Idea Generation Systematic stock screening and investment idea sourcing. Combines quantitative screens, thematic research, and pattern recognition to surface new long and short ideas. Use when looking for new ideas, running screens, or conducting thematic sweeps. Triggers on "idea generation", "stock screen", "find ideas", "what looks interesting", "screen for", "new ideas", or "pitch me something". ## Workflow ### Step 1: Define Search Criteria Ask the user for parameters: - **Direction**: Long ideas, short ideas, or both - **Market cap**: Large, mid, small, micro - **Sector**: Specific sector or cross-sector - **Style**: Value, growth, quality, special situation, event-driven - **Geography**: US, international, global - **Theme**: Any specific thematic angle (AI, reshoring, aging demographics, etc.) ### Step 2: Quantitative Screens **Data sourcing:** - Use `screen_stocks` tool with filters (market cap, sector, price, volume, beta, dividend, etc.) to generate initial candidate lists - Use `get_company_overview` tool for quick company snapshot with ratios, earnings, analyst consensus - Use fundamentals MCP: `get_financial_statements(symbol)` for detailed financials (income statem
- Workflow
- Step 1: Define Search Criteria
- Step 2: Quantitative Screens
- Step 3: Thematic Sweep
- Step 4: Idea Presentation
- Step 5: Output
- Important Notes
What does the idea-generation skill do?
Stock screening and idea generation: quantitative screens, thematic analysis, shortlist
How do I install it?
Run `npx skills add ginlix-ai/LangAlpha --skill idea-generation --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ginlix-ai/LangAlpha, a repository with 1,604 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.