Cathie Wood Innovation
Use when evaluating Cathie Wood-style disruptive innovation themes: S-curves, converging technologies, long-duration growth, platform adoption, and multiyear innovation portfolios.
Install
$ agentstack add skill-xuboyuebobb-investorskills-cathie-wood-innovation ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-xuboyuebobb-investorskills-cathie-wood-innovation) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Cathie Wood Innovation
Use this skill to apply Cathie Wood-style judgment.
When To Use
Use this skill when the user asks for:
- innovation theme analysis
- S-curve adoption underwriting
- ARK-style thematic portfolio
- long-duration tech disruption
Trigger phrases include Cathie Wood, ARK, disruptive innovation, S-curve, thematic growth, innovation platform.
Do Not Use When
- The setup is outside this model's universe and another investor skill fits better.
- Critical data is missing and the model requires it.
- The user wants guaranteed returns or unbounded leverage.
- The request is only generic market chatter with no decision.
Inputs Needed
- Asset, portfolio, theme, or market context
- Relevant financial, market, regime, or structural data
- Time horizon and risk constraints
- Current price/valuation or portfolio weights if sizing is requested
Process
- Define the innovation thesis and S-curve stage.
- Map technology convergence and competitive dynamics.
- Check cost curves, adoption data, and execution milestones.
- Size for long duration and high volatility.
Output Format
# Cathie Wood Innovation View: [Subject]
## Verdict
Theme Overweight / Single-Name Long / Watch / Too Early / Too Expensive / Pass
## Setup / Thesis
## Evidence
## Risks
## Action Plan
## Invalidation
## Missing DataGuardrails
- Do not force a trade when filters fail.
- Do not ignore risk, liquidity, or regime constraints.
- Do not mix this model with another unless comparison is requested.
- Separate facts, assumptions, and judgment.
Questflow Use
In Questflow, this skill is best used as a judgment module for Funds, research workflows, monitoring, and risk-aware decision support.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: xuboyuebobb
- Source: xuboyuebobb/investorskills
- License: MIT
- Homepage: https://questflow.ai
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.