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What is serenity-aleabitoreddit?

yan-labs/serenity-aleabitoreddit — explained in plain English

Analysis updated 2026-05-18

41PythonAudience · researcherComplexity · 1/5Setup · easy

In one sentence

An installable AI agent skill and tweet archive built from one trader's public analysis of AI and semiconductor supply chains, for research only.

Mindmap

mindmap
  root((Serenity Skill))
    What it does
      Tweet archive
      Methodology writeup
      Per ticker knowledge base
      Installable agent skill
    Tech stack
      Python
      skills.sh
      JSON and CSV data
    Use cases
      Research supply chain bottlenecks
      Ask better stock questions
      Track a trader's calls over time
    Audience
      Investors
      Researchers
      AI agent builders

Code map

Detail Auto

An interactive map of this repo's files and how they connect — its source is parsed live in your browser. Click Visualize to build it.

filefunction / class

What do people build with it?

USE CASE 1

Install this as an AI agent skill to get supply chain focused stock research help.

USE CASE 2

Read the distilled methodology to understand a specific bottleneck focused investing lens.

USE CASE 3

Look up how views on a specific stock ticker evolved over nearly a year of posts.

USE CASE 4

Review a timeline of past public calls alongside an honest accuracy note.

What is it built with?

Pythonskills.shJSONCSV

How does it compare?

yan-labs/serenity-aleabitoredditaimer-zero/redforge-aiarthuryangx/nano-notebooklm
Stars414141
LanguagePythonPythonPython
Setup difficultyeasymoderatemoderate
Complexity1/54/52/5
Audienceresearcherdeveloperresearcher

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 5min

One command install via npx skills add, or manual copy into an agent's skills directory, this is research material, not financial advice.

License is not stated in the available README excerpt.

So what is it?

This repository packages the public work of a Twitter and X trader who goes by Serenity into a research archive and an installable AI agent skill. Serenity is known for analyzing the semiconductor and AI supply chain, tracing big tech spending back to upstream bottlenecks like optical parts, memory chips, and power supply for data centers. The project bundles together the raw archive of over 5,600 of his tweets and four longer articles, spanning mid 2025 through mid 2026, along with summaries distilled from that material. It includes a written methodology of roughly twelve named principles that describe his general approach to spotting these bottleneck companies, a per stock ticker knowledge base showing how his views on specific companies changed over time, and a timeline of his past calls with an honest note about how accurate they turned out to be. The main way to use this repository is as an agent skill: a packaged set of instructions you install into an AI coding assistant like Claude Code so the assistant can apply this analytical lens when you ask it about AI, semiconductor, memory, or power related stock ideas. It installs with a single command using the skills.sh tool, or you can copy the folder directly into your assistant's skills directory. The repository is explicit that this is not financial advice and is meant only to help you ask better questions, since the trader's self reported results are unverified and the stocks he follows tend to be small and volatile. The tweets were collected using separate command line tools built for pulling data from X within its rate limits, and article text itself is not included, only summaries. A Python script lets you regenerate the condensed data from the full archive.

Copy-paste prompts

Prompt 1
Install this skill with npx skills add and explain how it changes my agent's answers.
Prompt 2
Summarize the methodology.md file's twelve principles in plain English.
Prompt 3
Help me understand this trader's current view on a specific ticker from theses.md.
Prompt 4
Explain the risk caveats before I use this skill's lens on a stock idea.
Prompt 5
Walk me through regenerating the condensed data with prep.py.

Frequently asked questions

What is serenity-aleabitoreddit?

An installable AI agent skill and tweet archive built from one trader's public analysis of AI and semiconductor supply chains, for research only.

What language is serenity-aleabitoreddit written in?

Mainly Python. The stack also includes Python, skills.sh, JSON.

What license does serenity-aleabitoreddit use?

License is not stated in the available README excerpt.

How hard is serenity-aleabitoreddit to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is serenity-aleabitoreddit for?

Mainly researcher.

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