serenity-skill

serenity-skill

Serenity-style research methodology to help AI identify bottleneck stocks and fund directions within supply chains.

Agent SkillBusinessOpen source投研供应链股票基金
Type
Agent Skill
Open source
Yes
GitHub Stars
★ 2.7k
Source
skill-github

Overview

Serenity.skill is an Agent Skill based on Serenity's public research methodology, enabling AI to start from trending topics, deconstruct supply chains, identify bottlenecks, and filter out promising companies and fund directions. It is ideal for investors dealing with real-time news flows who wish to establish a systematic screening process. Through this skill, AI can perform initial deep research, transforming vague trends into well-structured, evidence-based, and risk-aware research leads.

Capabilities

  • Deconstruct supply chains
  • Identify supply chain bottlenecks
  • Filter candidate companies and fund directions
  • Review announcements, financial reports, clients, capacity, and risks
  • Generate prioritized research lists

Use cases

Analyze AI semiconductor supply chainsInvestigate key segments in roboticsVerify a company's core supplier statusScreen investment directions for thematic funds or ETFs

Setup

Requires: API KeyNode 环境
User-level installation:\bSKILL_DIR="$HOME/.agents/skills/serenity-skill"\bmkdir -p "$SKILL_DIR"\bcp -R SKILL.md LICENSE references assets scripts examples agents "$SKILL_DIR"/\bProject-level installation:\bSKILL_DIR=".agents/skills/serenity-skill"\bmkdir -p "$SKILL_DIR"\bcp -R SKILL.md LICENSE references assets scripts examples agents "$SKILL_DIR"/

This information was compiled by AI from public sources and may contain inaccuracies — please refer to the source.

FAQ

Who is Serenity.skill suitable for?

Investors facing real-time information flows and seeking to establish a systematic screening process.

How does Serenity.skill work?

Start from trending topics, deconstruct supply chains, identify bottlenecks, filter candidate companies and fund directions, review announcements, financial reports, clients, capacity, and risks, then compile a prioritized research list.

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