idea-generation — Claude Code skill for finding investment ideas
A skill for systematic stock screening and investment idea sourcing. Runs quantitative screens, thematic research, and pattern recognition to surface long and short ideas.
npx skills add anthropics/financial-services --skill idea-generation -a claude-codeWhat idea-generation does
The idea-generation skill finds long and short candidates based on parameters you give it: direction, market cap, sector, style, geography, theme.
Value screens check P/E below sector median, EV/EBITDA below historical average, free cash flow yield above 5%, price/book below 1.5x, insider buying in the last 90 days. Growth screens look for revenue growth above 15% YoY, earnings growth above 20%, accelerating revenue, expanding margins, ROIC above 15%. Quality, short, and special situation screens are included too.
For thematic searches, the skill defines the thesis, maps the value chain, separates pure-play from diversified exposure, and looks for second-order beneficiaries the market has not connected to the theme yet. Each idea that passes gets a one-line thesis, a metrics table, catalysts, and key risks.
The output is a shortlist of 5–10 ideas with one-page summaries, screening methodology, and a comparison table. The skill itself warns that screens surface candidates, not conclusions — every output needs fundamental work. Short ideas need higher conviction because timing is harder and risk is asymmetric.
What it helps with
- run a stock screen by style and sector
- build a shortlist of candidates with a thesis
- find theme beneficiaries along the value chain
- format an idea with catalysts and risks
- compare candidates across key metrics
Example prompts for the agent
- run a growth screen for US mid-cap tech stocks
- find short ideas in consumer names with deteriorating fundamentals
- do a thematic sweep on AI infrastructure and identify second-order beneficiaries
How to install idea-generation
1Skills CLI (Vercel)
npx skills add anthropics/financial-services --skill idea-generation -a claude-code2Manually: put the files in place
~/.claude/skills/idea-generation/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/idea-generation/
1Skills CLI (Vercel)
npx skills add anthropics/financial-services --skill idea-generation -a codex2Manually: put the files in place
.agents/skills/idea-generation/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add anthropics/financial-services --skill idea-generation -a cursor2Manually: put the files in place
.cursor/skills/idea-generation/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install anthropics/financial-services idea-generation2Manually: put the files in place
.github/skills/idea-generation/SKILL.md1Skills CLI (Vercel)
npx skills add anthropics/financial-services --skill idea-generation -a gemini-cli2Platform CLI
gemini skills install https://github.com/anthropics/financial-services --path plugins/agent-plugins/market-researcher/skills/idea-generationManually: put the files in place
.devin/skills/idea-generation/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add anthropics/financial-services --skill idea-generation -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
From the same set51
The whole set →Similar
Questions about idea-generation
How do I install idea-generation in Claude Code?
Run npx skills add anthropics/financial-services --skill idea-generation -a claude-code. The skill will be available at ~/.claude/skills/idea-generation/SKILL.md.
What does idea-generation do?
It sources investment ideas through quantitative screens, thematic research, and pattern recognition. It supports long, short, and special situation candidates.
How does the skill avoid crowded trades?
It advises checking ownership data, short interest, and analyst coverage before acting on a name. Screens produce candidates, not conclusions.
Source text
SKILL.md · Apache-2.0
--- name: idea-generation description: 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". --- # Idea 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: 1. Define the thesis (e.g., "AI infrastructure spending accelerates through 2026") 2. Map the value chain — who benefits directly vs. indirectly? 3. Identify pure-play vs. diversified exposure 4. Assess which names are already "priced in" vs. under-appreciated 5. 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
© anthropics · Apache-2.0 · anthropics/financial-services