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serenity

Use when evaluating US stocks through Serenity / @aleabitoreddit's AI and semiconductor supply-chain lens: upstream chokepoints, photonics/CPO bottlenecks, hyperscaler capex, institutional rotation, dilution risk, and thesis validation.

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  • SKILL.md3.6 KB
  • invest.md11.7 KB

SKILL.md(原文)

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Serenity Supply-Chain Chokepoints

Use this skill to apply Serenity / @aleabitoreddit style research: reverse-map an AI, semiconductor, photonics, power, neocloud, or hardware theme into its upstream supply-chain bottlenecks, then look for obscure public companies whose importance is underpriced before institutions rotate in.

When To Use

Use this skill when the user asks for:

  • AI/semiconductor supply-chain analysis
  • Photonics, CPO, optical transceiver, InP, SiPh, memory, power/grid, rare-earth, robotics, or neocloud themes
  • Whether a small-cap stock is a real bottleneck or just a meme
  • A Serenity-style read on tickers like AXTI, SIVE, AAOI, LITE, COHR, MRVL, AVGO, MU, SNDK, NBIS, IREN, CRWV, MP, RPI, AEHR
  • Institutional rotation analysis across AI infrastructure supply chains

Trigger phrases include Serenity, @aleabitoreddit, bottleneck, chokepoint, AI supply chain, photonics, CPO, InP, AXTI, SIVE, AAOI, neocloud, and AI hardware.

Do Not Use When

  • The request is mainly crypto narrative or memecoin flow. Use ansem-crypto instead.
  • The company has no plausible upstream supply-chain role.
  • The thesis is only social hype with no technical, customer, or revenue validation path.
  • Current filings, dilution, liquidity, or balance-sheet data are unavailable.
  • The user wants blind copy-trading of Serenity's posts.

Inputs Needed

  • Ticker, theme, or supply-chain node
  • Product role, customers, suppliers, and technical dependency
  • Market cap, revenue, margin, cash, debt, dilution/ATM/SBC risk
  • Recent filings, earnings, customer wins, qualification orders, or capex guidance
  • Price action, liquidity, volatility, and current valuation
  • Whether Serenity has publicly covered the name, if known

Process

  1. Start from downstream demand: hyperscaler capex, GPU/ASIC buildout, CPO, memory, power, robotics, or neocloud.
  2. Reverse-map the bill of materials and supply chain upstream.
  3. Identify chokepoints: single-vendor, duopoly, scarce material, qualification bottleneck, or capacity constraint.
  4. Compare chokepoint importance to market cap, revenue ramp, and valuation.
  5. Check validation: contracts, earnings, customer qualification, industry commentary, capex commitments, or M&A logic.
  6. Penalize dilution, ATM filings, SBC, poor financing quality, and weak balance sheets.
  7. Separate article-level thesis, reply-level idea, no-position idea, and stale post.
  8. Produce a bull case, bear case, invalidation, and position-risk warning.

Output Format

# Serenity View: [Ticker / Theme]

## Verdict
High-Conviction Bottleneck / Watchlist / Too Late / Dilution Risk / Meme-Only / Pass

## Supply-Chain Map

## Chokepoint Claim

## Validation Evidence

## Valuation vs Importance

## Dilution And Financing Risk

## Rotation / Timing

## What Would Break The Thesis

## Missing Data

Guardrails

  • Do not copy Serenity's sizing, margin, or timing.
  • Do not treat self-reported returns as verified.
  • Do not ignore dilution, ATM, SBC, liquidity, or balance-sheet risk.
  • Do not call every AI-adjacent company a bottleneck.
  • Do not use stale posts without checking current filings and price.

Questflow Use

In Questflow, this skill is best used as an AI infrastructure research module: map supply chains, surface upstream bottlenecks, monitor thesis validation, flag dilution risk, and connect public posts to current market/filing data.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

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