Serenity Method

Serenity Method

A distilled, reusable version of how Serenity (@aleabitoreddit) analyzes equities. Use it to analyze any stock, supply chain, or market situation — not only her feed. It captures her method, not her positions.

This skill is method only. It does not fetch data. To pull her live posts or build mention analytics, use the separate follow-aleabito skill; you can feed its output into this method, but this skill works standalone on any company you research yourself.

> One-line summary of the method: find the real bottleneck, reason from first principles, gate it through Buffett-style quality questions, separate narrative from fundamentals, and label the result a research lead — not a buy.

When to use

• "Analyze $X the way Serenity / aleabito would."
• "Is $X a critical chokepoint? Map its supply chain."
• "Give me a first-principles + Buffett judgment on $X."
• Turning a Serenity post (or any thesis) into a structured, beginner-friendly analysis (中文 or English).

What you produce

Language / 语言: respond in the user's language — 中文 by default, English when the request is in English or the user asks. The structure is identical in both; bilingual block labels are shown below.

For each ticker or theme, output these blocks, beginner-friendly, defining jargon on first use (see references/glossary.md):

1. 核心论点 / 她的观点 · Core thesis / Her view — the one-paragraph thesis (if analyzing a Serenity post, ground it in the post + cite the source URL; if analyzing your own idea, state it plainly).
2. 小白解释 · Plain-language — re-explain in plain language a beginner can follow.
3. 第一性原理 · First principles — decompose with the five levers (Step 2).
4. Buffett 直接判断 · Buffett verdict — answer the five fields (Step 3). Answer them, do not pose them as questions.
5. 当前结论 · Conclusion — classify: 研究地图 / research-map(a lead worth tracking)vs 可投资结论 / investable-conclusion(only after moat + financials + valuation + margin-of-safety work). Default to 研究地图.

End every deliverable with the disclaimer in the output language: 仅作信息跟踪，不构成投资建议。 / For information tracking only; not investment advice.

For multi-name digests, compress blocks 2–4 into 1–3 paragraphs per name. Use the full template only for a single deep-dive. (This mirrors the dashboard digests in reports/aleabito-digests/.)

The method (5 steps)

Step 1 — Find the critical chokepoint (her signature move)

Start from a durable macro driver, walk the value chain, and locate the bottleneck — the link where demand is real, supply is scarce, and one company is hard to design out.

macro driver → demand for a capability → value-chain link that becomes the bottleneck
→ who is designed-in / certified there → sole or primary source? → at what market cap vs the opportunity?

A candidate is interesting when all hold: (a) customers must have the capability, (b) supply can't be added quickly, (c) the company is certified/designed-in, (d) it is cheap relative to the opportunity (un-priced). Missing any one → downgrade.

Her OSINT discovery heuristics (use these to find/verify chokepoints — see references/framework.md for detail):

• Regulatory & government filings — NIST, CHIPS Act blueprints, Dept. of Commerce / export filings ("only high-volume X foundry in America" = government-stamped criticality).
• Customer-side signals — a customer removing a competitor from its website / vendor list; design-in language in earnings transcripts; "sole source" / "primary source".
• Follow who actually does the work — the headline brand is often too big; the value sits in a small subsidiary or upstream supplier (e.g. a conglomerate's packaging/test subsidiary, an epiwafer/substrate maker, an FAU supplier).
• Corporate-action signals — M&A hints, new board members with M&A/IPO backgrounds, dual-listing / uplisting, private placements to fund capacity.
• Capital-flow catalysts (non-fundamental) — index inclusion (MSCI / Nasdaq) forces passive buying; flag it as a real but non-fundamental catalyst, never as proof of quality.

Step 2 — First-principles decomposition

Value = future owner cash flows. Reason from these five levers and state each explicitly:

1. Durability of demand — is the end-demand structural or a fad?
2. Supply bottleneck — is supply genuinely scarce, and for how long?
3. Pricing power — can it raise price / hold margin (certification, scarcity)?
4. Capital intensity — how much capex/dilution to grow? (foundries are heavy; don't judge on low P/B alone — look at ROIC, utilization, margins.)
5. Rule-of-law / geopolitics — property rights, subsidies, jurisdiction, supply-chain-sovereignty exposure.

Name the strongest and weakest link explicitly (she always does: "strongest here, weakest there").

Step 3 — Buffett quality gate (default unverified)

Answer all five. Every field starts at unverified; escalate only with cited evidence (financials, transcripts, filings — a single tweet/post is not evidence). Reuse the exact rubric in references/framework.md.

• 护城河 (moat) — unverified → weak/medium/strong, with a one-line reason (certification, switching cost, IP, scale, regulatory barrier).
• 赚钱能力 (profitability) — unverified → improving/proven, only when revenue / gross margin / cash-flow numbers are cited.
• 客户替换风险 (customer-replacement risk) — unverified → low/medium/high (certification cycle, second-source availability, customer concentration).
• Buffett 式好公司 — not yet by default; yes needs moat + profitability + sane capital allocation all above unverified; no needs disqualifying evidence.
• 当前结论 — 证据不足 / 研究地图 / 可投资结论. Tweets alone never reach 可投资结论.

Step 4 — Narrative-vs-fundamentals hygiene (the discipline that keeps it honest)

Serenity is loud and her names move on sentiment; this gate stops you from mistaking price action for proof.

• Doubt-ladder ("质疑阶梯") — bears move the goalposts (customers → execution → market share → revenue → can the supplier scale), each gets falsified, the stock re-rates. Note the pattern, but re-rating ≠ proven fundamentals.
• Media FUD — "meme / scam / overvalued" labels are sentiment, not analysis; they don't create or destroy value. Equally, being right before ≠ a moat for the next name.
• Capital flows & squeezes — index inclusion, institution-vs-retail shake-outs, gamma squeezes are real catalysts but positioning, not value. Keep them out of the moat/profitability fields.
• Track record — a strong hit-rate is worth noting; it is not per-name due diligence.

Step 5 — Classify and stay disciplined

Default output is 研究地图 (a lead worth tracking), with the specific things to verify next (next-quarter revenue, capacity-partner disclosure, customer contracts, listing timeline, capex returns). Reach 可投资结论 only after independent moat + financials + valuation + margin-of-safety work — never from posts alone.

Hard rules

• Never convert a post or thesis into a buy/sell instruction.
• Never invent moats, margins, customer lists, valuation multiples, or links. If evidence is missing, say unverified / 证据不足.
• Keep a Buffett field above unverified only with cited evidence; downgrade on doubt.
• Treat price moves, follower counts, and media takes as noise until tied to cash-flow evidence.
• Define jargon on first use; write for a beginner.
• If analyzing a real Serenity post, cite the source URL; if no URL, don't attribute.

References

| Need | Read | | --- | --- | | Full method detail: 5 levers, Buffett rubric + escalation, OSINT heuristics | references/framework.md | | Worked, annotated examples from the corpus (SIVE, Foxconn→Shunsin, SOI, AAOI, XFAB) | references/exemplars.md | | Plain-language definitions (CPO, photonics, 800VDC, TAM, ASP, P/B, FAU, second source…) | references/glossary.md |

Optional: tie into the live feed

If the user wants this applied to her latest posts, run the follow-aleabito skill's fetch first (its follow-aleabito/scripts/analyze-mentions.js --incremental --resume for analytics, or follow-aleabito/scripts/fetch-updates.js for raw posts), then apply Steps 1–5 to the returned content. The output structure here is identical to the dashboard digests in reports/aleabito-digests/, so results drop straight into that pipeline.

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仅作信息跟踪，不构成投资建议。 / For information tracking only; not investment advice.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: lanfuli
• Source: lanfuli/aleabito-serenity-skills
• License: MIT

Install and usage instructions live in the source repository linked above.