Agent skill

Buy Side Equity Research Memo

by haskaomni in haskaomni/serenity-skill

Generate source-backed buy-side equity research memos from a ticker, starting with investment view, target-price scenarios, SEC and IR-backed financial statement analysis, industry chain…

MITAuto-check passedBusiness, Finance & HR

Install Buy Side Equity Research Memo

skills CLI
$ npx skills add haskaomni/serenity-skill --skill buy-side-equity-research-memo -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install haskaomni/serenity-skill buy-side-equity-research-memo --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/haskaomni/serenity-skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/buy-side-equity-research-memo .claude/skills/buy-side-equity-research-memo && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
buy-side-equity-research-memo
GitHub stars
633
Token cost
~3.8k tokens
SKILL.md length
1,582 words
Files
3 (incl. references)
Skills in repo
6
Repo updated
First seen
Licence
MIT

At a glance

Generate source-backed buy-side equity research memos from a ticker, starting with investment view, target-price scenarios, SEC and IR-backed financial statement analysis, industry chain…

  • Works in 9 steps: Define Company And Research Boundary → Write Executive Investment View First → Map Industry Chain And Profit Pool → …
  • The user asks to analyze a stock
  • SKILL.md covers Core Principle, Defaults And Inputs, Source Discipline and Optional SEC Data Assist, plus 6 more sections
  • Calls pip and uv

What it does

Buy Side Equity Research Memo is an agent skill from haskaomni/serenity-skill. Generate source-backed buy-side equity research memos from a ticker, starting with investment view, target-price scenarios, SEC and IR-backed financial statement analysis, industry chain, competition, valuation, catalysts, variant perception, risks, and monitoring dashboard. Use when the user asks to analyze a stock or ticker, create a buy-side memo, investment committee note, deep equity research report, SOTP or scenario-driven stock analysis, or fund-manager-style company analysis.

Its SKILL.md is about 3.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `agents/openai.yaml` and `references/original-framework.md`).

It sits in Business, Finance & HR, covering Stock and market analysis and Financial analysis. The licence is MIT.

When your agent uses it

  • The user asks to analyze a stock
  • Create a buy-side memo
  • Investment committee note
  • Deep equity research report

Example prompts

  • “/buy-side-equity-research-memo”

Requirements

  • Python 3

Workflow steps

9 steps, taken from the step headings in SKILL.md.

  1. Define Company And Research Boundary
  2. Write Executive Investment View First
  3. Map Industry Chain And Profit Pool
  4. Analyze Competition And Moat Direction
  5. Read Financial Statements Like A Buy-Side Analyst
  6. Identify 3-7 Key Value Drivers
  7. Build Valuation And Scenarios
  8. Challenge The Thesis
  9. Track Catalysts And Monitoring Dashboard

What it can do on your machine

Read from SKILL.md and the folder at commit dedcf8f. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • pip
    • uv

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use pip and uv, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Buy Side Equity Research Memo loads about 3.8k tokens when it runs, and up to ~7.6k if it reads all its reference files. Until then it costs about 130 tokens; SKILL.md has 1,582 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~130
When it runs · the whole SKILL.md, loaded when a task matches
~3.8k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~7.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from haskaomni/serenity-skill at commit dedcf8f, republished under its MIT licence (© haskaomni). 1,582 words, ~3,789 tokens.

Download SKILL.mdSave it as .claude/skills/buy-side-equity-research-memo/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
buy-side-equity-research-memo
description
Generate source-backed buy-side equity research memos from a ticker, starting with investment view, target-price scenarios, SEC and IR-backed financial statement analysis, industry chain, competition, valuation, catalysts, variant perception, risks, and monitoring dashboard. Use when the user asks to analyze a stock or ticker, create a buy-side memo, investment committee note, deep equity research report, SOTP or scenario-driven stock analysis, or fund-manager-style company analysis.

Buy-Side Equity Research Memo

Core Principle

Start with the investment decision, not company background. Convert a ticker into a buy-side memo that helps a fund manager or investment committee debate whether the stock is mispriced, what could change the view, and what must be tracked next.

Treat outputs as research analysis, not personalized investment advice. For current claims, verify latest filings, prices, market cap, estimates, valuation multiples, earnings calls, investor presentations, and catalysts from reliable current sources. Do not invent unavailable data.

Defaults And Inputs

Required input: a ticker or clearly identifiable listed company.

Default assumptions unless the user specifies otherwise:

  • language: Chinese
  • depth: deep version
  • horizon: 12-month primary view, with 3-6 month catalyst tracking
  • style: buy-side fundamental research memo
  • valuation: SOTP when segment structure matters; otherwise relative valuation, DCF, P/E, EV/EBITDA, P/FCF, or industry-specific methods
  • scenarios: Bull / Base / Bear with probability weights and implied upside/downside

If the ticker is ambiguous, identify the most likely listed company and state the assumption. Ask only when multiple candidates are genuinely plausible and the wrong choice would change the analysis.

Source Discipline

Prioritize primary and current sources:

  1. SEC filings or local exchange filings
  2. company IR website, earnings releases, and investor presentations
  3. earnings call transcripts and official guidance
  4. exchange announcements and regulatory filings
  5. industry associations and credible third-party data
  6. reputable financial data providers and mainstream financial media

For every important figure or factual claim, cite the source, document type, document date or filing date, access date, and section/page/path when available. Clearly distinguish:

  • reported facts
  • management guidance or commentary
  • market consensus or third-party estimates
  • analyst inference

If a number cannot be verified, mark it as 未核验 and explain what source would be needed to confirm it.

Optional SEC Data Assist

For U.S.-listed companies, use SEC filings as the factual baseline for reported fundamentals and management disclosure when available. Prioritize latest 10-K, 10-Q, 8-K, and, for foreign private issuers, 20-F or 6-K. Use XBRL financial statements when available.

edgartools is a useful optional helper because it can retrieve filings, XBRL financial statements, filing text, insider transactions, ownership forms, and recent 8-K disclosures.

If the environment does not already have it, install with pip install edgartools or uv pip install edgartools. The import package is edgar, not edgartools. SEC access requires an identity; set EDGAR_IDENTITY="Name email@example.com" in the environment or call from edgar import set_identity; set_identity("name@example.com") before requests.

Minimal usage pattern:

python
from edgar import Company

company = Company("AAPL")
filings = company.get_filings(form="10-K")
financials = company.get_financials()
income = financials.income_statement()
balance = financials.balance_sheet()
cashflow = financials.cashflow_statement()

Use SEC data to anchor:

  • revenue, segment revenue, gross margin, operating margin, EPS, free cash flow, capex, debt, cash, share count, dilution, buybacks, and stock-based compensation
  • customer concentration, backlog/order language, pricing, capacity, inventory, MD&A, risk factors, legal/regulatory disclosures, and management's stated demand drivers
  • 8-K earnings releases or guidance disclosures when they contain the newest company-reported operating data

Do not use SEC data as a substitute for current market data, forward multiples, consensus revisions, TAM estimates, market share, technical data, or catalyst calendars. Keep SEC-reported facts separate from forecasts and market estimates.

Citation examples:

text
Source: FY2025 Form 10-K, Item 7, filed 2026-02-21, accessed 2026-06-12.
Source: Q1 FY2026 Form 10-Q, Note 15 Segment Information, filed 2026-05-03, accessed 2026-06-12.

If filings cannot be retrieved, say:

text
未能核验原始 SEC filing,本部分基于可获得资料,需后续人工复核。

Workflow

1. Define Company And Research Boundary

Identify the company name, exchange, ticker, fiscal year, reporting currency, primary business, segment structure, latest filings, latest earnings release/call, latest investor presentation, and key disclosure limits.

2. Write Executive Investment View First

Open the memo with:

  • rating bias: Buy / Hold / Sell / Avoid / Watchlist
  • 12-month target-price range: Base / Bull / Bear
  • current price and implied upside/downside when current price is available
  • core thesis in 3-5 sentences
  • key debate and variant perception
  • what the market may be missing
  • thesis breakpoint that would force downgrade, exit, or re-underwriting

If current price or target inputs are unavailable, state the missing data and provide a qualitative view instead of false precision.

3. Map Industry Chain And Profit Pool

Explain where the company sits in the value chain, who suppliers and customers are, who has pricing power, where the profit pool is, what resource is scarce, and whether the company is in a strong or weak value-chain position.

4. Analyze Competition And Moat Direction

Compare direct competitors, substitutes, potential entrants, customer/supplier bargaining power, market-share direction, margin differences, brand/channel/scale/network/data/R&D advantages, and whether the moat is widening or narrowing.

5. Read Financial Statements Like A Buy-Side Analyst

Cover revenue mix, segment profitability, gross margin, operating margin, R&D, sales and marketing, G&A, operating cash flow, free cash flow, capex, inventory, receivables, deferred revenue, debt, cash, SBC, buybacks, dilution, and management guidance.

Focus on what changes the thesis: acceleration/deceleration, margin quality, working-capital stress, capital intensity, accounting quality, and whether guidance confirms or contradicts the story.

6. Identify 3-7 Key Value Drivers

Select the variables that truly drive valuation, such as units, ASP, ARPU, NRR, users, backlog, book-to-bill, utilization, gross margin, take rate, inventory cycle, customer concentration, capex intensity, credit quality, or regulatory cost.

For each driver, state why it matters, past trend, market expectation, management guidance, valuation sensitivity, and the metric that would confirm or falsify the thesis.

7. Build Valuation And Scenarios

Use SOTP when business segments deserve different multiples or growth assumptions. For each material segment, include revenue, growth, margin, comparable companies, valuation multiple, value range, and premium/discount rationale.

When SOTP is not suitable, use the most relevant method for the business model: EV/Revenue, EV/EBITDA, P/E, P/FCF, DCF, NAV, normalized earnings, or milestone/option-style valuation.

Always include Bull / Base / Bear scenarios with assumptions, probability, revenue growth, margin, multiple, target price, implied return, and trigger conditions. Report probability-weighted target value and risk/reward when enough data exists.

8. Challenge The Thesis

Actively argue against the conclusion. Identify where the thesis can be wrong, what consensus may be too optimistic about, what risks are not priced, which metrics would break the thesis, and what conditions require downgrade or removal from the watchlist.

Cover fundamental, valuation, competition, cycle, regulation, technology substitution, management execution, accounting quality, liquidity, FX, and macro risks when relevant.

Show full SKILL.md (618 more words)Show less
9. Track Catalysts And Monitoring Dashboard

List the next 3-6 month catalysts: earnings dates, investor days, product launches, regulatory nodes, industry conferences, major contracts, M&A progress, capacity ramps, price changes, guidance updates, index changes, and capital-return policy changes.

For each catalyst, include time window, event, market expectation, likely impact direction, and tracking metrics. End with a dashboard of the most important filings, operating metrics, management comments, and falsification points.

Serenity Cross-Checks

Use existing Serenity frameworks as lenses when they fit the company or user request:

  • serenity-alpha: when the thesis depends on news, product launches, procurement signals, supply-chain changes, or market misclassification. Translate news into observable demand and financial-statement impact.
  • bayesian-intrinsic-growth-valuation: when the key question is whether intrinsic 3-5 year growth probability is above or below market-implied growth.
  • tam-adj-peg: when valuation depends on high growth, TAM runway, growth duration, and business quality rather than a simple PEG.
  • gf-dma-health-index: when the user asks whether the current trend or entry point is healthy, or when price/DMA/ATR and estimate-revision data are available.
  • juglar-cycle-stock-stage: when the thesis depends on industry capex, ASP, inventory, supply-demand, capacity release, customer order behavior, or migration across recovery, expansion, overheating, downturn, and clearing phases.

Do not force every cross-check into every memo. Add only the modules that improve the investment decision.

Mermaid Visualizations

For a full memo, include 2-4 Mermaid diagrams when they materially improve the investment decision. Prefer 3-4 for a deep memo, while a short or data-limited memo may use fewer. Do not create a diagram merely to meet a quota.

Prioritize these views:

  1. A flowchart of the value chain, company position, pricing power, and profit pool.
  2. An xychart-beta for SOTP segment values or Bull/Base/Bear target prices when the values use the same currency and date basis.
  3. A timeline for the next 3-6 months of catalysts, with the catalyst table retained as the fallback.
  4. A compact flowchart connecting the core thesis, supporting evidence, variant perception, and thesis breakpoint.

Apply these rules to every diagram:

  • Use fenced mermaid blocks, match the report language, keep node IDs in simple ASCII, and keep labels short.
  • Prefer broadly supported flowchart, pie, and stateDiagram syntax. Use xychart-beta, quadrantChart, or timeline only as progressive enhancement and retain the adjacent Markdown table as the fallback.
  • Use only evidence and values already stated in the memo. Keep currency, valuation date, units, scenario probabilities, and target prices consistent with the surrounding tables; never fill missing data for visual completeness.
  • Place each diagram beside the analysis it explains and follow it with a one-sentence investment takeaway. Keep citations, URLs, dates, and detailed caveats outside the diagram.
  • Keep a diagram focused: normally no more than 12 nodes or 8 plotted values. Diagrams supplement rather than replace analysis, valuation tables, risks, and source trails.
  • When a Serenity cross-check is used, import only the one diagram with the highest decision value. Do not repeat the same data in both the parent memo and a cross-check chart, and keep the whole memo within the 2-4 diagram budget.

Output Template

Use this default structure:

markdown
# [Company / Ticker] Buy-Side Equity Research Memo

## 0. Executive Investment View
- Rating Bias:
- 12M Target Price Range:
- Current Price:
- Implied Upside / Downside:
- Base / Bull / Bear Case:
- Core Thesis:
- Key Debate:
- What the Market May Be Missing:
- Thesis Breakpoint:

## 1. Company Snapshot
- Business Overview
- Revenue / Segment / Geography Mix
- Customer Profile
- Reporting Currency And Fiscal Year
- Latest Source Set

## 2. Industry Chain Position
- Value Chain Map
- Profit Pool
- Bargaining Power
- Secular Drivers
- Cyclical / Structural Risks

Add a Mermaid value-chain flowchart here and state the profit-pool takeaway immediately after it.

## 3. Competitive Landscape
- Key Competitors
- Market Share Direction
- Moat Assessment
- Margin Comparison
- Threats And Substitutes

## 4. Financial Statement Deep Dive
- Revenue And Segment Trends
- Gross Margin And Operating Margin
- Cash Flow, Capex, And Working Capital
- Balance Sheet, Debt, Cash, Dilution, SBC
- Guidance And Management Commentary

## 5. Key Value Drivers
- Driver 1
- Driver 2
- Driver 3
- Valuation Sensitivity

## 6. SOTP / Valuation
- Segment Or Business-Line Valuation
- Comparable Companies And Multiple Assumptions
- Net Cash / Debt And Dilution Adjustment
- Implied Equity Value And Target Price

When segment values are comparable, add a Mermaid xychart and retain the SOTP table.

## 7. Bull / Base / Bear Scenarios
| Scenario | Probability | Core Assumptions | Target Price | Implied Return |
| --- | ---: | --- | ---: | ---: |
| Bull | | | | |
| Base | | | | |
| Bear | | | | |

When target prices share the same currency and valuation date, add a Mermaid xychart and retain this scenario table.

## 8. Variant Perception
- Where Consensus May Be Wrong
- What Is Underappreciated
- What Would Break The Thesis

## 9. Catalysts: Next 3-6 Months
- Event
- Timing
- Market Expectation
- Tracking Metrics

Add a Mermaid timeline when event windows are known; retain the catalyst table as the compatibility fallback.

## 10. Key Risks
- Fundamental Risks
- Valuation Risks
- Competitive Risks
- Regulatory Risks
- Thesis Breakpoints

## 11. Monitoring Dashboard
- Metrics To Track
- Filing Items To Review
- Management Commentary To Watch

## 12. Source List
- SEC / Exchange Filings
- Earnings Calls And IR Materials
- Industry And Market Sources
- Access Dates

Quality Bar

  • Lead with the investment conclusion.
  • Support each core judgment with data, source documents, or explicit reasoning.
  • Do not replace analysis with news summaries.
  • Do not extrapolate historical growth mechanically.
  • Show valuation assumptions, not only a target price.
  • Include Bull / Base / Bear scenarios and reverse thesis testing.
  • Make all unverifiable data and missing inputs explicit.
  • Keep the memo decision-useful, professional, and concise enough for buy-side discussion.

Detailed Reference

The original Chinese framework is stored in references/original-framework.md. Read it when you need the full source draft, exact prompt language, section-by-section checklist, or industry-specific driver examples.

When the reference format differs, preserve its analytical intent but follow this SKILL.md's current output and visualization rules.

© haskaomni, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (references) in skills/buy-side-equity-research-memo of haskaomni/serenity-skill.

  • SKILL.md
  • agents/openai.yaml
  • references/original-framework.md

Open the folder on GitHubat commit dedcf8f

Compare with similar skills

Buy Side Equity Research Memo next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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SkillStarsUsed inTokensAuto-checkLicenceRepo updated
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Longbridgehelsome/folio2711 repos~1.9kAutomated safety check: PassNone
Earnings Recaphimself65/finance-skills3.4k—~1.7kAutomated safety check: PassMIT
Alpha Vantageagent-skills-hub/agent-skills-hub1122 repos~1.6kAutomated safety check: PassMIT

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Questions about Buy Side Equity Research Memo

What does Buy Side Equity Research Memo do?

Generate source-backed buy-side equity research memos from a ticker, starting with investment view, target-price scenarios, SEC and IR-backed financial statement analysis, industry chain…. Buy Side Equity Research Memo is an agent skill from haskaomni/serenity-skill. Generate source-backed buy-side equity research memos from a ticker, starting with investment view, target-price scenarios, SEC and IR-backed financial statement analysis, industry chain, competition, valuation, catalysts, variant perception, risks, and monitoring dashboard.

When should I use Buy Side Equity Research Memo?

Buy Side Equity Research Memo fits situations like: the user asks to analyze a stock; create a buy-side memo; investment committee note; deep equity research report.

How do I install Buy Side Equity Research Memo in Claude Code?

Run `npx skills add haskaomni/serenity-skill --skill buy-side-equity-research-memo -a claude-code`. Or copy the skill folder (skills/buy-side-equity-research-memo in haskaomni/serenity-skill) into .claude/skills/buy-side-equity-research-memo in your project. Claude Code loads it when a task matches its description.

How do I install Buy Side Equity Research Memo in Codex?

Run `npx skills add haskaomni/serenity-skill --skill buy-side-equity-research-memo -a codex`. Or copy the skill folder (skills/buy-side-equity-research-memo in haskaomni/serenity-skill) into .agents/skills/buy-side-equity-research-memo in your project. Codex loads it when a task matches its description.

Can I use Buy Side Equity Research Memo in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add haskaomni/serenity-skill --skill buy-side-equity-research-memo -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/buy-side-equity-research-memo, .gemini/skills/buy-side-equity-research-memo, .github/skills/buy-side-equity-research-memo and .opencode/skills/buy-side-equity-research-memo in your project.

What does Buy Side Equity Research Memo need to run?

Going by SKILL.md and its folder, Buy Side Equity Research Memo needs the command-line tools its instructions call (pip and uv). Our summary lists: Python 3.

Does Buy Side Equity Research Memo access the network?

SKILL.md contains no URLs. Its commands use pip and uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Buy Side Equity Research Memo safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Buy Side Equity Research Memo use?

Buy Side Equity Research Memo is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Buy Side Equity Research Memo use?

About 3.8k tokens (SKILL.md is roughly 15k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.9k tokens, read only when the agent opens those files.

What are the alternatives to Buy Side Equity Research Memo?

Skills that share tags, products or a category with Buy Side Equity Research Memo: Longbridge Earnings (helsome/folio, 271 stars), Earnings Analysis (Wind-Alice/AliceMarket, 134 stars), Longbridge (helsome/folio, 271 stars) and Earnings Recap (himself65/finance-skills, 3.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Buy Side Equity Research Memo?

haskaomni (a GitHub user) maintains it in haskaomni/serenity-skill, which has 633 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on July 15, 2026.

Source: haskaomni/serenity-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.