Agent skill · Business & Finance

longbridge-investment-ideas

Investment idea generation — systematically surfaces new investment opportunities by combining quantitative screening (low valuation / high momentum / improving fundamentals), thematic research (sector trends / policy catalysts), and pattern recognition (historical analogues), producing a long/short candidate list. Triggers: "投资想法", "选股灵感", "投资机会", "找股票", "发掘机会", "多头机会", "空头机会", "主题投资", "投資想法", "選股靈感", "投資機會", "找股票", "多頭機會", "空頭機會", "主題投資", "investment ideas", "stock ideas", "investment opportunities", "idea generation", "long ideas", "short ideas", "thematic investing", "stock discovery", "fi

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill longbridge-investment-ideas --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 5 KB
Bundled scripts: none
Version: 1.0.0
Declared author: longbridge
Path: skills/analysis/longbridge-investment-ideas/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# longbridge-investment-ideas Surfaces actionable investment ideas through a multi-lens screening process: value, momentum, fundamental improvement, and thematic catalysts — outputting a prioritised candidate list with brief rationale for each idea. > **Response language**: match the user's input language — Simplified Chinese / Traditional Chinese / English. ## When to use Trigger when the user wants to discover new investment opportunities rather than research a specific stock: - *"帮我找一些当前有投资价值的股票"* / *"幫我發掘一些港股投資機會"* / *"Generate some investment ideas in AI infrastructure"* - *"选股灵感"*, *"多头机会"*, *"what should I be looking at this quarter"* ## Workflow 1. Clarify parameters with the user if not provided: - **Market**: US / HK / A-share / SG (or multiple) - **Theme / sector** (optional): e.g. AI, EV, healthcare, energy - **Style**: value / growth / momentum / contrarian / short ideas 2. Fetch the relevant universe (index constituents or sector ETF). 3. For top candidates, fetch valuation indices and recent 60-day price momentum. 4. Apply the selected screening lens (see below) to rank candidates. 5. For top 5–8 ideas, fetch news to validate the narrative. 6. Output a ranked candida

What's inside
Steps it walks through
  1. When to use
  2. Workflow
  3. Screening lenses
  4. CLI
  5. Output
  6. Error handling
  7. Related skills
  8. File layout
Ships with 1 file
  • metadata.json
Commands it runs
Fetch universe (index constituents)
longbridge constituent <INDEX_SYMBOL> --format json
Valuation indices for screening (PE, PB, momentum)
longbridge calc-index <SYMBOL> --format json
longbridge kline <SYMBOL> --period day --count 60 --format json
News for narrative validation
longbridge news <SYMBOL> --format json
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About this skill
What does the longbridge-investment-ideas skill do?

Investment idea generation — systematically surfaces new investment opportunities by combining quantitative screening (low valuation / high momentum / improving fundamentals), thematic research (sector trends / policy catalysts), and pattern recognition (historical analogues), producing a long/short candidate list. Triggers: "投资想法", "选股灵感", "投资机会", "找股票", "发掘机会", "多头机会", "空头机会", "主题投资", "投資想法", "選股靈感", "投資機會", "找股票", "多頭機會", "空頭機會", "主題投資", "investment ideas", "stock ideas", "investment opportunities", "idea generation", "long ideas", "short ideas", "thematic investing", "stock discovery", "fi

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill longbridge-investment-ideas --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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