
Idea Generation
OfficialFreeSystematic stock screening and investment idea sourcing.
Free · Opens the source repo
What Idea Generation does
The Idea Generation skill is designed to assist investors and analysts in sourcing new investment opportunities through a structured approach. It combines quantitative screening methods with thematic research and pattern recognition to surface both long and short investment ideas. Users begin by defining their search criteria, which includes parameters such as investment direction (long or short), market capitalization, sector, investment style, geography, and specific themes. This flexibility allows users to tailor their searches to their investment strategies or market outlook.
Once the search criteria are established, the skill executes various quantitative screens based on the selected investment style. For example, a value screen may filter stocks with low price-to-earnings ratios and high free cash flow yields, while a growth screen targets companies with significant revenue and earnings growth. The skill also includes specialized screens for quality stocks and short candidates, ensuring that users can identify a diverse range of investment opportunities.
In addition to quantitative analysis, the skill facilitates thematic research. Users can define a thesis around a specific trend or theme, such as AI infrastructure spending, and the skill will help identify companies that stand to benefit from these trends. This thematic sweep is crucial for investors looking to capitalize on emerging market dynamics and identify underappreciated opportunities.
Finally, the skill presents the shortlisted ideas in a structured format, including key metrics, investment theses, risks, and suggested next steps. This comprehensive output not only aids in decision-making but also provides a clear framework for further research and due diligence. Ideal for investment professionals, analysts, and serious retail investors, the Idea Generation skill streamlines the process of finding actionable investment ideas.
When to use it
Use this skill when you need to generate new investment ideas or run specific stock screens based on defined criteria.
When not to use it
This skill is not suitable for casual investors looking for quick tips or those who prefer a less structured approach to investing.
What you can build with it
Finding Long Investment Ideas
Use the skill to define criteria for long investment opportunities, such as growth sectors or undervalued stocks.
Conducting Thematic Research
Leverage the skill to explore investment themes like AI or renewable energy and identify companies that align with these trends.
Screening for Short Opportunities
Utilize the short screening process to find stocks that may be overvalued or facing declining fundamentals.
How to install Idea Generation
View source1. Install with the skills CLI
npx skills add anthropics/financial-services/idea-generation --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by anthropicsIdea Generation
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
Run screens based on the style:
Value Screen
- P/E below sector median
- EV/EBITDA below historical average
- Free cash flow yield >5%
- Price/book below 1.5x
- Insider buying in last 90 days
- Dividend yield above market average
Growth Screen
- Revenue growth >15% YoY
- Earnings growth >20% YoY
- Revenue acceleration (growth rate increasing)
- Expanding margins
- High return on invested capital (>15%)
- Strong net retention (>110% for SaaS)
Quality Screen
- Consistent revenue growth (5+ years)
- Stable or expanding margins
- ROE >15%
- Low debt/equity
- High free cash flow conversion
- Insider ownership >5%
Short Screen
- Declining revenue or decelerating growth
- Margin compression
- Rising receivables / inventory vs. sales
- Insider selling
- Valuation premium to peers without justification
- High short interest with deteriorating fundamentals
- Accounting red flags (auditor changes, restatements)
Special Situation Screen
- Recent IPOs / SPACs with lockup expirations
- Spin-offs in last 12 months
- Companies emerging from restructuring
- Activist involvement
- Management changes at underperforming companies
Step 3: Thematic Sweep
For thematic ideas, research the theme and identify beneficiaries:
- Define the thesis (e.g., "AI infrastructure spending accelerates through 2026")
- Map the value chain — who benefits directly vs. indirectly?
- Identify pure-play vs. diversified exposure
- Assess which names are already "priced in" vs. under-appreciated
- Look for second-order beneficiaries that the market hasn't connected to the theme
Step 4: Idea Presentation
For each idea that passes the screen, present:
[Company Name] — [Long/Short] — [One-Line Thesis]
| Metric | Value | vs. Peers |
|---|---|---|
| Market cap | ||
| EV/EBITDA (NTM) | ||
| P/E (NTM) | ||
| Revenue growth | ||
| EBITDA margin | ||
| FCF yield |
Thesis (3-5 bullets):
- Why this is mispriced
- What the market is missing
- Catalyst to realize value
Key Risks:
- What would make this wrong
Suggested Next Steps:
- Build full model? Deep-dive diligence? Expert call?
Step 5: Output
- Shortlist of 5-10 ideas with one-page summaries
- Screening criteria and methodology documented
- Comparison table across all ideas
- Prioritized list: which ideas to research first
Important Notes
- Screens surface candidates, not conclusions — every screen output needs fundamental work
- The best ideas often come from intersections (e.g., quality company at value price due to temporary headwind)
- Avoid crowded trades — check ownership data, short interest, and how many analysts cover the name
- Contrarian ideas need a catalyst — being early without a catalyst is the same as being wrong
- Track idea hit rates over time — which screens and approaches produce the best ideas?
- Short ideas need higher conviction — timing is harder and risk is asymmetric
Frequently asked questions about Idea Generation
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