npx skills add yan-labs/serenity-aleabitoreddit
Everything distilled from Serenity (@aleabitoreddit) — a public X trader and AI/semiconductor supply-chain analyst known for tracing hyperscaler capex into upstream bottlenecks. His recurring research terrain includes optical/CPO and photonics, InP substrates and compound semis, memory/HBM/NAND, neocloud financing quality, AI power/grid demand, robotics/physical AI, and overlooked international supply-chain names.
This repo packages his public work into one self-contained research artifact: the raw tweet archive, long-form article summaries, a period-by-period distillation, and a ready-to-use agent skill that applies his analytical lens to US-stock ideas.
Built from 5,857 tweets spanning 2025-07-02 → 2026-06-08 plus 4 X Articles published in 2026-01 → 2026-05.
⚠️ Not financial advice. Decision-support only. This skill never trades and never places or cancels orders. Serenity's self-reported returns are unverified and carry obvious survivorship/selection bias; his names are volatile micro/small-caps. Use the lens to ask better questions, not to copy trades.
| Path | What it is |
|---|---|
serenity-aleabitoreddit/SKILL.md |
The agent skill: who he is, his edge, the three workflows, risk framing |
serenity-aleabitoreddit/references/methodology.md |
His framework as ~12 named, transferable principles + a checklist for any new name |
serenity-aleabitoreddit/references/theses.md |
Per-ticker knowledge base, merged across all periods, grouped by sub-sector, with conviction tiers and how each evolved |
serenity-aleabitoreddit/references/articles.md |
Compact summaries and portfolio-use rules for Serenity's long-form X Articles; full article text is intentionally not stored |
serenity-aleabitoreddit/references/track-record.md |
Chronological timeline of his dated calls + an honest calibration note |
serenity-aleabitoreddit/references/maintenance.md |
Maintenance rules for incrementally distilling new posts into the skill |
serenity-aleabitoreddit/analysis/*.md |
The six period analyses the skill was synthesized from (provenance) |
data/aleabitoreddit_tweets.json |
Full tweet archive, all fields (text, metrics, quoted tweets, media, timestamps) |
data/aleabitoreddit_tweets.csv |
Same archive as a spreadsheet (id, url, time, text, likes, views, etc.) |
data/ticker_stats.txt |
His $ticker universe by mention count + first/last seen |
assets/serenity-avatar.jpg |
Local copy of Serenity's public X avatar used in this README |
prep.py |
Condenses the tweet JSON into monthly chunks and recomputes the ticker stats |
update.py |
Pulls latest tweets, dedupes by id, and refreshes derived data for incremental updates |
One-command install with skills.sh:
npx skills add yan-labs/serenity-aleabitoredditOr drop the folder into an agent's skills directory:
# Claude Code (project-local)
cp -r serenity-aleabitoreddit <your-project>/.agents/skills/
ln -s ../../.agents/skills/serenity-aleabitoreddit <your-project>/.claude/skills/serenity-aleabitoredditIt then triggers on questions about AI/semiconductor/optical/memory/power/ neocloud names, supply-chain bottleneck analysis, or evaluating a stock idea.
Don't buy the obvious shovel-seller (NVDA) — trace the supply chain upstream to the single chokepoint a hyperscaler will pay anything to keep flowing (optical/CPO, compound-semi substrates, memory, power), where the small market cap is most mispriced relative to the trillions flowing downstream.
A 2026-06-11 post-to-market review added one practical rule: Serenity's best supply-chain posts are usually not clean 1-day copy-trade signals. The more repeatable pattern is 5-60 trading days from public thesis to validation as orders, filings, media coverage, institutional ownership, or local-market attention catch up.
Use four buckets before treating a post as actionable:
| Post type | How to use it |
|---|---|
| New bottleneck thesis | Highest research weight when the dependency is fresh, underpriced, and backed by customer, capacity, policy, or filing evidence |
| Reaffirmation / buy-the-dip | Useful when a high-conviction name sells off on a false report, mechanical selloff, ATM overhang, or misunderstood earnings |
| Supplier map / watchlist / no-position idea | Research input only; build a watchlist and wait for company-specific evidence |
| Victory lap / mainstream validation | Confirms an older thesis worked; often late-cycle unless valuation and positioning reset |
Always separate the stock thesis from the market window. A strong Serenity idea inside weak breadth or narrow sector participation is a selective/left-side window, not a green light to chase near-price entries.
Tweets were collected via agent-reach Twitter/X tooling (twitter-cli
historically, xreach for current incremental updates) using date-windowed
search (full-day windows with intra-day top-up for high-volume days) to work
around X's pagination/rate limits. X Article bodies were fetched with
authenticated article access and distilled into summaries only; full article text
is not redistributed here. Regenerate the condensed monthly chunks and ticker
stats from the archive with python3 prep.py.
This repository contains only public information about @aleabitoreddit, article metadata, and derived analysis/summaries. It is an independent research artifact and is not affiliated with, endorsed by, or connected to him.