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Idea Generation

OrganizationPopular
anthropics
idea-generation

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".

Overview

Publisheranthropics
Repositoryfinancial-services
Skill nameidea-generation
Stars
38.4K
Forks
5.5K
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by anthropics on GitHub. Read the source before you install it.

Installation

Install the Idea Generation AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/anthropics/financial-services/tree/main/plugins/agent-plugins/market-researcher/skills/idea-generation
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/anthropics/financial-services.git /tmp/financial-services
mkdir -p .claude/skills
cp -r /tmp/financial-services/plugins/agent-plugins/market-researcher/skills/idea-generation .claude/skills/idea-generation
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Idea Generation in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Idea Generation on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Idea Generation is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

Frequently asked questions

What does the Idea Generation AI skill do?

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".

Why use Idea Generation on TypingMind?

Because you install it once and use it with any model. Idea Generation is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Idea Generation in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/anthropics/financial-services/tree/main/plugins/agent-plugins/market-researcher/skills/idea-generation. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Idea Generation?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Idea Generation?

As many as you like. As long as a model supports skills, you can use Idea Generation with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Idea Generation AI skill free?

Yes. It is published on GitHub by anthropics under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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