Agent skill · Business & Finance

longbridge-tech-hype

Tech hype vs. fundamentals analysis via Longbridge — identifies valuation bubbles and fundamental disconnects in A-share / HK tech stocks. Compares PE / PS / EV-EBITDA historical percentile against actual revenue / profit growth. Analyses which AI / EV / semiconductor theme plays have fundamental support vs. pure sentiment-driven momentum. Triggers: "科技炒作", "AI泡沫", "估值泡沫", "科技估值", "概念股", "主题炒作", "基本面背离", "炒作识别", "科技泡沫", "科技炒作", "AI泡沫", "估值泡沫", "科技估值", "概念股", "主題炒作", "基本面背離", "tech hype", "AI bubble", "valuation bubble", "tech valuation", "theme stocks", "hype vs fundamentals", "concept stocks"

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill longbridge-tech-hype --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-tech-hype/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-tech-hype Tech hype versus fundamentals — detect valuation bubbles and identify which theme-driven rallies have fundamental backing. > **Response language**: match the user's input language — Simplified Chinese / Traditional Chinese / English. ## When to use Trigger on prompts asking for: - Bubble or hype detection — *"这只 AI 概念股是不是泡沫"*, *"AI bubble check"*, *"估值泡沫"* - Theme vs. fundamentals — *"主题炒作还是有基本面"*, *"hype vs fundamentals"*, *"narrative vs reality"* - Tech sector valuation check — *"科技股估值贵不贵"*, *"半导体概念股"*, *"新能源估值"* For pure valuation percentile defer to `longbridge-valuation`. For sector-wide ranking defer to `longbridge-constituent`. ## Workflow 1. Extract and normalise the symbol(s). 2. Fetch in parallel: - Valuation multiples and historical percentile (PE, PS, EV/EBITDA) - Industry median valuation for peer context - Last 2–3 years income statement (revenue growth, net income growth, gross margin trend) - Recent news and narrative themes 3. Compute the **Hype Score**: - Valuation percentile (0–100) vs. revenue growth rate - Gap = `valuation_percentile − revenue_growth_rank` (positive = hype-heavy) 4. Classify the stock: - `Fundamentally Justified` — growth

What's inside
Steps it walks through
  1. When to use
  2. Workflow
  3. CLI
  4. Output structure
  5. Error handling
  6. MCP fallback
  7. Related skills
  8. File layout
Ships with 1 file
  • metadata.json
Commands it runs
Valuation multiples and historical percentile
longbridge valuation <SYMBOL> --format json
Industry median valuation
longbridge industry-valuation <SYMBOL> --format json
Income statement — revenue, net income, margins
longbridge financial-report <SYMBOL> --kind IS --format json
Recent news — theme keywords
longbridge news <SYMBOL> --format json
More from claude-skill-registry
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About this skill
What does the longbridge-tech-hype skill do?

Tech hype vs. fundamentals analysis via Longbridge — identifies valuation bubbles and fundamental disconnects in A-share / HK tech stocks. Compares PE / PS / EV-EBITDA historical percentile against actual revenue / profit growth. Analyses which AI / EV / semiconductor theme plays have fundamental support vs. pure sentiment-driven momentum. Triggers: "科技炒作", "AI泡沫", "估值泡沫", "科技估值", "概念股", "主题炒作", "基本面背离", "炒作识别", "科技泡沫", "科技炒作", "AI泡沫", "估值泡沫", "科技估值", "概念股", "主題炒作", "基本面背離", "tech hype", "AI bubble", "valuation bubble", "tech valuation", "theme stocks", "hype vs fundamentals", "concept stocks"

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill longbridge-tech-hype --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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