963 tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
33987
stars on the repo
on the repository, not the skill itself
Install
one command, takes just this skill from the repository
npx skills add https://github.com/anthropics/financial-services --skill idea-generation
Copy
The instruction itself
8 sections, as written by the author
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:
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