Idea Generation
AnthropicOfficialPublished by Anthropic
- Skill
- Research and analysis
- Business and productivity
- Apache-2.0
- No issues found
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
Download the skill as a ZIP:
https://mp-staging.autogineer.com/agent-skills/anthropics/idea-generation/downloadUnzip 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:
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
Files
- ATTRIBUTION.mdAdded by AutoGineer928 B
- LICENSELicence file added by AutoGineer11.1 KiB
- SKILL.md3.8 KiB
ATTRIBUTION.md
Attribution
This folder is an unmodified copy of the Agent Skill "idea-generation", distributed by AutoGineer (https://autogineer.com/agent-skills).
Commit: 60565064557ca77b12f62aa7877f365d111c129d
Published by: Anthropic (https://github.com/anthropics)
Publisher: Anthropic (https://github.com/anthropics)
Licence: Apache License 2.0 (https://github.com/anthropics/financial-services/blob/60565064557ca77b12f62aa7877f365d111c129d/LICENSE)
Licence evidence: repository licence LICENSE
Retrieved: 2026-11-07
The skill's own files are unmodified copies. AutoGineer is not affiliated with or endorsed by the author or the publisher.
Files added by AutoGineer
ATTRIBUTION.md: this file, written by AutoGineer
LICENSE: copied from LICENSE
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
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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