investment-analysis — community investment-analysis, community, ide skills

v1.0.0

About this Skill

Perfect for Financial Agents needing advanced investment decision support through macro, growth, and risk analysis frameworks. In-depth analysis of investment assets (gold, silver, bitcoin, equities, etc.) to support investment decisions. Use when the user wants to understand an assets current state, market analysis, patterns

lvndry lvndry
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[0]
Updated: 3/12/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reviewed Landing Page Review Score: 9/11

Killer-Skills keeps this page indexable because it adds recommendation, limitations, and review signals beyond the upstream repository text.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution Quality floor passed for review Locale and body language aligned
Review Score
9/11
Quality Score
51
Canonical Locale
en
Detected Body Locale
en

Perfect for Financial Agents needing advanced investment decision support through macro, growth, and risk analysis frameworks. In-depth analysis of investment assets (gold, silver, bitcoin, equities, etc.) to support investment decisions. Use when the user wants to understand an assets current state, market analysis, patterns

Core Value

Empowers agents to provide clear, sourced, and nuanced investment conclusions using value, macro, growth, and risk frameworks, building trust through substance and conviction, and leveraging investor mindset principles.

Ideal Agent Persona

Perfect for Financial Agents needing advanced investment decision support through macro, growth, and risk analysis frameworks.

Capabilities Granted for investment-analysis

Generating tailored investment recommendations based on user profiles
Analyzing investment decisions through the lens of value, macro, growth, and risk frameworks
Providing data-driven, nuanced conclusions to support investment choices

! Prerequisites & Limits

  • Requires understanding of investor frameworks and mindset
  • Limited to analysis and recommendation, not actual investment execution

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is investment-analysis?

Perfect for Financial Agents needing advanced investment decision support through macro, growth, and risk analysis frameworks. In-depth analysis of investment assets (gold, silver, bitcoin, equities, etc.) to support investment decisions. Use when the user wants to understand an assets current state, market analysis, patterns

How do I install investment-analysis?

Run the command: npx killer-skills add lvndry/jazz/investment-analysis. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for investment-analysis?

Key use cases include: Generating tailored investment recommendations based on user profiles, Analyzing investment decisions through the lens of value, macro, growth, and risk frameworks, Providing data-driven, nuanced conclusions to support investment choices.

Which IDEs are compatible with investment-analysis?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for investment-analysis?

Requires understanding of investor frameworks and mindset. Limited to analysis and recommendation, not actual investment execution.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add lvndry/jazz/investment-analysis. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use investment-analysis immediately in the current project.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

investment-analysis

Install investment-analysis, an AI agent skill for AI agent workflows and automation. Review the use cases, limitations, and setup path before rollout.

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

Investment Analysis

Investment decisions affect real wealth and real lives. This skill provides in-depth analysis—grounded in investor frameworks (value, macro, growth, risk)—to support your decisions. When the analysis supports a view, give a clear, sourced, nuanced conclusion tailored to the user's profile. Avoid vague hedging; substance and conviction (when justified) build trust.

For mindset and frameworks, see references/investment-mindset.md.

When to Use

  • User wants to analyze an asset (gold, silver, bitcoin, a stock, ETF, or commodity)
  • User asks "should I invest in X?" or "is X a good investment?"
  • User wants current market state, patterns, or forecasts for an asset
  • User wants to know if an asset fits their goals, risk, or time horizon
  • User asks for "investment analysis", "market analysis", or "pattern recognition" for an asset

Disclaimer & Scope

This is not licensed investment, tax, or legal advice. No guarantee of returns. For major decisions (large sums, complex situations, tax/estate), recommend consulting a qualified professional.

Do give actionable conclusions when analysis supports them: sourced, justified, tied to the user's goals, risk, and horizon. The user deserves a clear view, not a hand-off. State confidence level and caveats.

Workflow

  1. Clarify asset and user situation: Which asset? User's goals (growth, income, hedge), risk tolerance, time horizon, and (if shared) existing exposure.
  2. Gather current state: Price, volume, recent trend, key levels. Use recent data; cite source and date.
  3. Apply investment mindset: Use frameworks from references/investment-mindset.md—Buffett/Munger (value, margin of safety), Dalio (macro), Lynch (story), Marks (risk/cycles), Graham (intrinsic value)—to deepen analysis. Avoid shallow takes.
  4. Analyze patterns and context: Technical patterns, sentiment, on-chain (for crypto), macro context (rates, inflation, geopolitics) where relevant.
  5. Consider forecasts and previsions: What analysts or models say (bull/bear cases). Label as outlook, not fact.
  6. Assess fit for situation: Does the asset align with the user's goals, risk, and horizon? Pros and cons in that context.
  7. Present analysis: Structured report with current state, patterns, outlook, fit, risks, and caveats. When analysis supports a view, state it clearly—e.g. "For your profile, a small allocation (X–Y%) could fit because [sourced reasons]" or "Given your horizon and risk tolerance, this asset is likely misaligned—[reasons]."

What to Analyze

Current State

  • Price: Current level, recent range (e.g. 30/90 days), key support/resistance if useful
  • Volume / liquidity: Where relevant (e.g. crypto, equities)
  • Trend: Short- and medium-term direction; cite time frame
  • Context: Rates, inflation, dollar, geopolitics—only what's relevant to the asset

Cite source and date for every number (e.g. "BTC price as of [date] per [source]").

Pattern Recognition

  • Technical: Trends, ranges, common patterns (e.g. breakout, consolidation). Describe, don't guarantee.
  • Sentiment: Fear/greed, positioning, flows—when data is available and relevant
  • On-chain (crypto): Active addresses, supply in profit/loss, exchange flows—when available
  • Seasonal / cyclical: Historical patterns (e.g. gold in certain periods); state that past ≠ future

Label clearly: "pattern observed" vs "forecast or interpretation."

Forecasts and Previsions

  • Analyst views: Summarize bull/bear cases; name source and date
  • Model-based: E.g. valuation bands, trend extrapolation—state assumptions
  • Scenarios: Best / base / worst case with clear "if X then Y" and caveats

No single "this will happen" claim; present range of views and uncertainty.

Fit for User Situation

  • Goals: Growth vs income vs hedge vs diversification
  • Risk tolerance: Volatility, drawdowns, loss capacity
  • Time horizon: Short vs long term; liquidity needs
  • Existing exposure: Already heavy in the asset? Diversification benefit?

Output: A clear conclusion with reasoning. E.g. "Given [situation], I'd lean [for/against/neutral] because [sourced reasons]. Consider [suggested allocation or action] if [conditions]." Tie every view to sources and profile.

Output Format

markdown
1# Investment Analysis: [Asset] — [Date] 2 3## Summary 4 5[2–4 sentences: current state, main pattern/outlook, and fit with user situation. Include a clear conclusion when analysis supports it—e.g. "For a long-term, risk-tolerant profile, a small allocation could fit; for short horizons, likely misaligned."] 6 7## Your Situation (as shared) 8 9- Goals: [e.g. long-term growth, hedge inflation] 10- Risk: [e.g. moderate, can tolerate 20% drawdown] 11- Horizon: [e.g. 5+ years] 12- [Optional] Current exposure: [e.g. none, 5% in gold] 13 14## Current Market State 15 16- **Price / level**: [value] as of [date] ([source]) 17- **Recent trend**: [e.g. up/down/sideways over 30/90 days] 18- **Context**: [rates, inflation, or other relevant factor in 1–2 lines] 19 20## Patterns & Indicators 21 22- [Pattern 1]: [What you see and time frame] 23- [Pattern 2]: [What you see and time frame] 24- [Sentiment / on-chain if relevant]: [1–2 lines] 25 26## Outlook & Previsions 27 28- **Bull case**: [Short summary + source/date if applicable] 29- **Bear case**: [Short summary] 30- **Base case / range**: [If useful, with assumptions stated] 31 32## Fit for Your Situation 33 34- **Pros**: [How it could align with goals/risk/horizon] 35- **Cons**: [Risks or misalignment with situation] 36- **Conclusion**: [Clear view with reasoning. E.g. "For your profile (long-term, moderate risk), a 2–5% allocation could fit as a diversification/hedge—because [sourced reasons]. I'd avoid or minimize if [conditions]." Or "Given your short horizon, I'd lean against—[reasons]." State confidence and caveats.] 37 38## Risks & Caveats 39 40- [Risk 1] 41- [Risk 2] 42- Past performance does not guarantee future results. For large or complex decisions, consult a qualified professional.

Asset Coverage

  • Precious metals: Gold, silver—price, trend, macro context (real rates, dollar, geopolitics), common use as hedge.
  • Crypto: Bitcoin (and optionally major altcoins)—price, volume, on-chain metrics, sentiment, regulatory/macro tailwinds/risks.
  • Equities / ETFs: Single names or broad indices—valuation, trend, sector context; same "current state + patterns + outlook + fit" structure.

For asset-specific metrics and data sources, see references/assets.md.

Time Awareness

  • User specifies a period (e.g. "last 6 months", "2024") → Use that period for trends and data.
  • No period given → Use most recent data (e.g. current price, last 30/90 days for trend).
  • Always state the date and source for prices and metrics (e.g. "as of [date] per [source]").

Sources

  • Prices / market data: Exchange or index provider, reputable aggregator (e.g. CoinGecko for crypto). Cite URL or name and date.
  • On-chain (crypto): Public dashboards (e.g. Glassnode, CryptoQuant). Cite name and date.
  • Macro: Central banks, statistical offices, widely cited data. Cite source and date.
  • Analyst views: Named source and date; treat as opinion, not fact.

Prefer primary or well-known sources. Never invent data.

Anti-Patterns

  • ❌ Giving conclusions without sources, reasoning, or profile fit (vague advice erodes trust)
  • ❌ Over-hedging when analysis supports a view—the user deserves a clear take
  • ❌ Guaranteeing returns or price levels
  • ❌ Using data without source and date
  • ❌ Presenting one view as certainty; show range and uncertainty
  • ❌ Ignoring user situation; always tie fit to goals, risk, and horizon
  • ❌ Skipping risks and caveats

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