agentleFS
d-wweid-wwei/openclaw-financial-services/skills/fsi-er-idea-generation/SKILL.md

fsi-er-idea-generation

Skill16 starsChanged 9 months agoApache-2.0View on GitHub

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".

The file

We split this skill into the rules it gives an agent

4 rules. About 0 are common, 4 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈4

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Ask the user for parameters:

    line 15
  2. Distinctive:

    Run screens based on the style:

    line 25
  3. Distinctive:

    Look for second-order beneficiaries that the market hasn't connected to the theme

    line 75
  4. Distinctive:

    Avoid crowded trades — check ownership data, short interest, and how many analysts cover the name

    line 114

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

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]

MetricValuevs. 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

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