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xvhaoran778-cyber/serenity.skill

25Audience · pm founderComplexity · 2/5Setup · easy

TLDR

A plugin for the Codex AI coding assistant that encodes a supply-chain bottleneck investment research methodology, helping analysts find constrained components in semiconductors, AI hardware, and optical communications across global stock markets.

Mindmap

mindmap
  root((serenity.skill))
    What it does
      Finds supply bottlenecks
      Updates Bayesian beliefs
      Estimates financial impact
    Industries Covered
      Semiconductors
      AI data centers
      Optical communications
      Advanced chip packaging
    Data Sources
      Earnings reports
      Exchange disclosures
      Policy documents
    Markets
      US equities
      Chinese A-shares
      Japan and Europe
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Code map

Detail Auto

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Things people build with this

USE CASE 1

Ask a Codex agent to identify supply chain chokepoints in the advanced chip packaging sector and estimate which companies are most exposed.

USE CASE 2

Systematically update an investment thesis using new earnings data by following the skill's Bayesian weighting framework.

USE CASE 3

Trace a demand shift in AI data center equipment through to specific constrained materials or equipment vendors using the guided workflow.

USE CASE 4

Compare supply constraints across Chinese A-share, US, and Japanese semiconductor companies for the same bottleneck category.

Tech stack

Codex

Getting it running

Difficulty · easy Time to first run · 5min

Requires the Codex AI coding assistant, installation is copying one folder into the local Codex skills directory.

The explanation does not mention a license for this project.

In plain English

Serenity.SKILL is a plugin for Codex, an AI coding assistant, that packages an investment research methodology focused on identifying supply chain bottlenecks in technology-related industries. The core method comes from publicly available tweets and trading disclosures by a person known as Serenity on Reddit, the skill distills the analytical approach without replicating their personal commentary or trading recommendations. The skill is designed to help analysts examine industries like semiconductors, AI data centers, optical communications, and advanced chip packaging, and ask: where is the supply constrained? It guides the user to trace real chokepoints: specific materials, manufacturing equipment, certifications, production capacity, or government approvals that limit who can supply a product. Once a chokepoint is identified, the skill helps translate a demand shift in that sector into estimated financial impact at the company level. The methodology uses a Bayesian framing: the analyst starts with a prior belief about an investment, then systematically weighs new evidence (positive or negative) to update the conclusion. The skill pulls from official company announcements, earnings reports, exchange disclosures, and policy documents rather than relying on news and social media, which it treats only as leads to verify. The skill covers multiple stock markets including Chinese A-shares, US equities, Hong Kong, Taiwan, Japan, and European listings. Installation involves copying one folder into the local Codex skills directory. The README is written in Chinese and notes clearly that this is not investment advice and is not an automated stock recommendation tool. The Serenity trading disclosures referenced are drawn from public sources and are not treated as audited facts.

Copy-paste prompts

Prompt 1
Using the Serenity supply chain framework in serenity.skill, analyze HBM memory supply for AI accelerators. What are the key chokepoints and which companies control them?
Prompt 2
I'm researching optical communications for AI data centers. Walk me through identifying the supply-constrained components and estimating financial impact on key suppliers using serenity.skill.
Prompt 3
Apply the Serenity Bayesian methodology to update my prior on a semiconductor equipment company given their latest earnings call transcript: [paste transcript].
Prompt 4
Which Chinese A-share companies would benefit most from a 30% increase in AI server demand, based on the supply bottleneck analysis framework in serenity.skill?
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