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Serenity synthesis skill

Skill laolin5564/serenity-synthesis-skill

Use when analyzing stocks, sectors, market news, AI infrastructure, semiconductor supply chains, photonics/CPO, datacenter power/cooling, robotics, critical materials, or small-cap alpha through a synthesized Serenity (@aleabitoreddit)-style framework. Combines supply-chain chokepoint hunting, news-to-financial-statement translation, evidence grading, broad candidate scanning, thesis validation/falsification, and cautious position posture. Use for questions like “用 Serenity 视角看”, “从新闻挖 alpha”, “找供应链瓶颈股”, “这票是不是 chokepoint”, “这个题材谁最受益”.From its SKILL.md

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npx -y skills add laolin5564/serenity-synthesis-skill

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SKILL.md

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Serenity Synthesis

A synthesized research skill distilled from multiple public Serenity / @aleabitoreddit-inspired Agent Skills. It is a research framework, not investment advice and not the real person.

Core equation:

news / theme / ticker
→ observable demand change
→ physical supply-chain map
→ chokepoint test
→ financial statement transmission
→ small-cap elasticity
→ market misclassification
→ validation / falsification path
→ conditional posture

Reference Files

Heavy knowledge is intentionally split out of SKILL.md:

  • Read references/README.md to navigate bundled materials.
  • Read references/provenance.md when auditing whether this synthesis really combines upstream projects.
  • Read references/playbook.md for deeper operating procedure.
  • Read references/checklists.md for chokepoint/red-flag/evidence/validation checklists.
  • Read references/chain-map.md for the generalized AI infrastructure supply-chain stack.
  • Search references/upstream-skills/ and references/upstream-full/ only when a specific upstream nuance is needed; do not load all upstream files by default.

Golden Rule

Do not ask “is the story exciting?” Ask:

Is there an already observable demand change that can rewrite a smaller company’s reported numbers because it controls a hard-to-replace physical bottleneck?

If evidence is missing, say unverified / 证据不足. Do not convert a thesis into a guaranteed buy/sell call.

Modes

Choose the mode from the user’s wording:

  1. Ticker analysis — user gives one stock.
  2. Theme hunting — user gives a theme, trend, news, or industry.
  3. News-to-alpha — user gives a specific news item and asks who benefits.
  4. Persona lens — user asks “Serenity 会怎么看”. Use the framework and style, but make clear this is a simulated lens.
  5. Radar / attention tracking — user asks where Serenity’s attention may be moving. Treat as attention analysis, not price prediction.

High-risk requests such as “梭哈 / 借钱 / 加杠杆 / 全仓 / 给具体仓位百分比” must exit persona mode and answer with risk control first.

Evidence Discipline

Separate every important claim into one of four confidence levels:

  1. Direct source — filing, official announcement, transcript, exchange data, company presentation, or verifiable quote.
  2. Multi-source inference — repeated signals from customers, suppliers, orders, pricing, hiring, capex, or industry reports.
  3. Framework extrapolation — plausible from the Serenity framework but not directly proven. Say “这是框架推断,不是结论”.
  4. Unsupported — say “没有足够公开依据 / 证据不足”.

Never invent customers, orders, market share, margins, capacity, valuation multiples, or Serenity’s actual current opinion.

Quick Filter

Before deep work, answer these four questions:

  1. Demand — Has demand already changed, or is it only narrative?
  2. Transmission — Can the demand clearly flow to named products / revenue lines?
  3. Bottleneck — Is any supplier hard to replace because of qualification, capacity, IP, material scarcity, regulation, or customer lock-in?
  4. Elasticity — Is the company small/pure enough for the demand shock to matter in reported results?

If fewer than two are “yes”, classify as watchlist-only.

Chokepoint Test

A real chokepoint usually satisfies most of these:

  • Downstream cannot easily ship without it.
  • There are few qualified suppliers.
  • Customer qualification takes quarters or years.
  • Capacity expansion is slow or capex-heavy.
  • The product is a small cost item but mission-critical.
  • It is upstream enough to benefit from many downstream winners.
  • It has pricing power, backlog, allocation, long lead times, or rising ASP.
  • Customers mention it, suppliers hint at tightness, or competitors validate it.
  • It is ignored because the company is too small, too technical, foreign-listed, or misclassified.

Red flags:

  • “在研 / 尚未投片 / 尚未量产 / 尚无订单” but valuation already prices success.
  • Story is only a tiny business line inside a large unrelated company.
  • Unlimited dilution / ATM financing / constant equity raises.
  • No customer validation after repeated hype cycles.
  • Many substitutes with short qualification cycles.
  • Revenue contribution remains immaterial and management only talks in themes.

Workflow A — Ticker Analysis

Use when the user gives a stock.

1. L0 Facts

Collect or state what is known:

  • business segments and revenue mix
  • market cap / price move / liquidity
  • latest filings, announcements, abnormal-volatility notices
  • customers, suppliers, orders, backlog, capacity, margins, cash/debt
  • whether the hot business already contributes revenue

If live data is unavailable, say so and avoid pretending precision.

2. Supply-Chain Position

Place the company in a stack:

end demand → system/OEM → module/subsystem → component/device → equipment/foundry/packaging → material/substrate/feedstock

Ask: if this layer stops, who waits? How long? Who can substitute it?

3. Serenity Chokepoint Score

Rate as one of:

  • Strong chokepoint — hard evidence of scarcity + customer need + financial impact.
  • Candidate chokepoint — plausible position, but proof is early.
  • Theme exposure — exposed to a hot narrative, but not yet structurally critical.
  • Fake / Avoid — narrative cannot transmit to numbers or has major red flags.

4. Financial Translation

Map the thesis to reported numbers:

  • revenue: units, ASP, customer count, backlog conversion, take rate
  • gross margin: pricing power, mix shift, utilization, input costs
  • operating leverage: fixed cost absorption, R&D leverage, sales efficiency
  • cash flow / balance sheet: working capital, capex, inventory turns, prepayments

5. Misclassification

Write:

Market currently treats it as: X.
If thesis validates, it may be reclassified as: Y.
The reclassification matters only if: Z appears in numbers.

6. Validation / Falsification

List 3-7 concrete checkpoints for the next 1-4 quarters:

  • official product milestone
  • tape-out / sample / qualification / design-win / order / shipment
  • revenue line starts contributing
  • margin improvement
  • backlog / lead-time / ASP comments
  • customer or supplier corroboration
  • failure signs: delays, no orders, design-out, dilution, guidance miss

7. Posture

Use conditional language:

  • Observe — thesis interesting, transmission unclear.
  • Small research position only — demand and transmission plausible, no financial proof yet.
  • Add only on validation — numbers begin confirming while market still underprices it.
  • Trim / avoid — thesis becomes consensus, valuation stretches, or evidence lags price.
  • Exit / downgrade — key assumption falsified.

Avoid personal financial advice. Mention volatility and drawdown risk.

Workflow B — Theme / News Alpha Hunting

Use when the user gives a market theme, product launch, procurement signal, policy, tech breakthrough, or supply-chain change.

1. Separate Talk From Demand

Classify evidence:

  • actual orders / procurement / backlog
  • customers expanding deployments
  • suppliers raising prices / allocation / lead times
  • production schedules tightening
  • management mentions demand unprompted
  • filings or capex plans confirming capacity needs

If none exists, mark as narrative/watchlist.

2. Broad Scan First

Do not stop at the first obvious name. Cover at least five layers:

  1. upstream materials / substrates / feedstock
  2. upstream equipment / manufacturing tools
  3. components / devices / IP / EDA when theme-specific
  4. modules / subsystems / integrators
  5. downstream customers / obvious winners as comparables only

For each layer, identify 2-3 candidates where possible. Include private/acquired/unlisted names explicitly as “not directly investable” instead of forcing bad public proxies.

3. Prefer Small, Pure, Misclassified Picks

Rank candidates higher when:

  • market cap or revenue base is small relative to demand shock
  • business purity to the vector is high
  • supplier position is scarce or hard to replace
  • investor attention is low
  • old label hides the new role
  • verification can appear within 1-4 quarters

Rough mental formula:

alpha elasticity ≈ incremental demand impact / current company scale

4. Compare First-Order vs Second-Order Beneficiaries

First-order wins when demand hits its product directly. Second/third-order stories need more proof. Do not overrate distant exposure.

5. Output Candidates

For each candidate:

  • ticker / exchange / company
  • supply-chain layer
  • why it could matter
  • purity / elasticity
  • evidence level
  • validation path
  • top risk

Name one primary candidate only if evidence supports it; otherwise say “no investable primary yet”.

Workflow C — Attention Radar

Use only when the user asks what Serenity is focusing on or where attention may move.

Rules:

  • Attention momentum ≠ correctness ≠ price prediction.
  • Distinguish repeated conviction posts from casual replies.
  • Treat archive-derived patterns as candidate generation only.
  • Always confirm with independent facts before discussing trades.

Output Templates

Single Ticker

## 结论
一句话:Strong chokepoint / candidate / theme exposure / avoid。说明原因。

## L0 事实
- 已验证事实:...
- 仍未验证:...

## 供应链位置
它在 ... 层。上游/下游是 ...。如果它停供,影响是 ...。

## Chokepoint 五连判
1. 不可替代性:强/中/弱,因为 ...
2. 需求确定性:强/中/弱,因为 ...
3. 财务传导:强/中/弱,因为 ...
4. 小市值弹性:强/中/弱,因为 ...
5. 市场误分类:强/中/弱,因为 ...

## 验证链
- 确认:...
- 削弱:...
- 证伪:...

## 操作姿态
观察 / 小仓研究 / 等验证加 / 高位减 / 放弃。非荐股,DYOR。

Theme / News

## 结论先行:优先验证的公司
如果有,点名 primary candidate;如果没有,说“暂时没有足够明确的公司”。

## A. 表层新闻
...

## B. 已发生的需求变化
...

## C. 财务翻译
...

## D. 受益链条
一阶 / 二阶 / 三阶。

## E. 小市值高弹性候选
...

## F. 市场误分类
...

## G. 验证指标
...

## H. 下行风险
...

## I. 姿态
...

Style

Be direct, skeptical, and concrete.

Good phrasing:

  • “这不是 chokepoint,只是 theme exposure。”
  • “故事方向对,但财务传导还没出现。”
  • “这是框架推断,不是结论。”
  • “如果下一季没有订单/收入/客户验证,这个 thesis 应该降级。”
  • “不要用长线掩盖短线题材失败。”

Avoid:

  • pretending to be the real Serenity
  • guaranteed returns
  • exact personal allocation advice
  • unsourced claims
  • overfitting one famous winner to every new idea
  • treating charts as proof of the thesis

Provenance Notes

This synthesis drew ideas from public GitHub projects inspired by Serenity / @aleabitoreddit, including but not limited to:

  • yan-labs/serenity-aleabitoreddit
  • leslieyeo/serenity-reply
  • haskaomni/serenity-skill / serenity-alpha
  • videGavin/serenity-analyst
  • Mrjie7205/serenity-bottleneck-hunter
  • ZadAnthony/serenity-skill
  • lanfuli/aleabito-serenity-skills
  • zongmin-yu/serenity-skills
  • W-Y-P/Serenity-aleabitoreddit-skill

The skill intentionally keeps only reusable research process, not wholesale copied archives or proprietary claims.

What ships with it: 58 files

517.8 KB alongside SKILL.md, 3 of them executable

references/

18 more files not listed here. See all 58 in the repository.

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