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Idea Generation

AnthropicOfficialPublished by Anthropic

  • Skill
  • Research and analysis
  • Business and productivity
  • Apache-2.0
  • No issues found

From the author

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 description by Anthropic

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

This skill provides a structured process for investment professionals to generate new stock ideas. It guides the user through defining search parameters, executing quantitative screens across various investment styles (Value, Growth, Quality, Short, Special Situations), and conducting thematic research. The workflow concludes with a standardized presentation format for shortlisted candidates, ensuring that each idea is supported by a clear thesis, key metrics, and identified risks.

What it does

  • Guides users through defining investment search criteria including style, sector, and geography.
  • Executes quantitative screens for value, growth, quality, short, and special situation opportunities.
  • Performs thematic sweeps to identify beneficiaries of specific market trends.
  • Generates a standardized one-page summary for each identified investment candidate.
  • Provides a comparative table of metrics across all generated ideas.
  • Suggests actionable next steps for deep-dive diligence.

When to use it

  • When you need to generate a fresh list of long or short investment candidates.
  • When conducting a thematic sweep to find companies exposed to specific market trends.
  • When you need to run quantitative screens based on specific investment styles.
  • When you require a structured format to present and compare potential investment ideas.

Advantages

  • Ensures a disciplined and repeatable approach to idea generation.
  • Reduces bias by forcing the documentation of a clear thesis and catalyst.
  • Standardizes the output format for easier comparison between different investment opportunities.
  • Helps identify both direct and second-order beneficiaries of market themes.

Usage examples

“Screen for mid-cap value stocks in the US with insider buying.”
The agent will filter for mid-cap companies meeting value criteria and cross-reference with recent insider purchase data, presenting a list of candidates with key valuation metrics.
“Pitch me some short ideas in the retail sector.”
The agent will apply the short screen criteria to the retail sector, identifying companies with deteriorating fundamentals or accounting red flags and providing a summary of the short thesis.
“Find me new ideas related to the AI infrastructure theme.”
The agent will map the AI infrastructure value chain, identify potential beneficiaries, and present a list of companies with an assessment of their market positioning.

Install

  1. Download the skill as a ZIP:

    https://mp-staging.autogineer.com/agent-skills/anthropics/idea-generation/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip idea-generation.zip -d .agents/skills

Documentation by Anthropic

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

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

Requirements and compatibility

Written for: Claude Code, Claude apps

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Security

No issues found by our static scan· No issues found

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

Published by
Anthropic
Publisher
Anthropic (Official)
Source
anthropics/financial-services · plugins/agent-plugins/market-researcher/skills/idea-generation · commit 6056506
Licence
Apache License 2.0 (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE)
  • ATTRIBUTION.md (written by AutoGineer)
Synced
Also distributed in
anthropics/financial-services

AutoGineer is not affiliated with or endorsed by Anthropic.

Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download idea-generation.zip