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serenity-skill

Perform source-backed investment research and rank A-share AI semiconductor candidates.

3.7k|579|Updated May 4, 2026
Search Tags:#market analysis#investment research#bottleneck analysis#supply chain analysis#AI investment
One-click install
npx skills add https://github.com/muxuuu/serenity-skill --skill serenity-skill
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: serenity-skill
Source: https://github.com/muxuuu/serenity-skill/tree/main
Command: npx skills add https://github.com/muxuuu/serenity-skill --skill serenity-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pypdf, pdfplumber, pdf2image, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

Serenity.skill addresses the challenge of navigating complex investment research by focusing on supply-chain bottlenecks, offering insights into market trends and company valuations.

Core Features & Use Cases

  • Deep Theme Research: Analyze specific market themes and value chains for investment opportunities.
  • Cross-Market Candidate Discovery: Identify potential investments across various markets.
  • Single-Company Thesis Challenges: Validate or challenge specific company theses based on evidence and analysis.
  • Research Partner Conversations: Engage in conversational research, learning and discussing investment strategies.

Quick Start

Use the serenity-skill to deeply research the A-share AI semiconductor landscape and identify the top 5 companies for priority research.

Frequently Asked Questions about serenity-skill

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I identify supply chain bottlenecks for AI semiconductor investment research?▼

Supply chain bottleneck analysis identifies value-chain chokepoints by mapping AI and semiconductor technology segments. It scans public materials to find upstream constraints, ranking A-share, HK, and US candidates by evidence-backed research priorities and associated investment risks.

Can I use this approach to screen A-share, HK, and US stocks for specific market themes?▼

Cross-market candidate discovery screens A-share, HK, and US stocks based on specific market themes. It maps technology value chains and outputs ranked research priorities with evidence chains, helping you focus on companies with verifiable bottleneck exposure.

What's the best way to challenge an existing investment thesis for a single company?▼

Thesis stress tests validate or challenge single-company investment theses using public methodology. By examining evidence chains and supply chain constraints, the process outputs plain-language reasoning, identified risks, and actionable next steps to confirm or refute your original hypothesis.

Does this investment research method support conversational research and strategy discussions?▼

Research partner conversations engage you in interactive investment strategy discussions. Inspired by a specific research style, it provides plain-language reasoning and evidence-backed responses to guide your market scanning, value-chain mapping, and thesis validation without executing trades.

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