Install
$ agentstack add skill-xonevn-ai-xone-trading-skills-stanley-druckenmiller-investment ✓ 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.
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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
Druckenmiller Strategy Synthesizer
Purpose
Synthesize outputs from 8 upstream analysis skills (5 required + 3 optional) into a single composite conviction score (0-100), classify the market into one of 4 Druckenmiller patterns, and generate actionable allocation recommendations. This is a meta-skill that consumes structured JSON outputs from other skills — it requires no API keys of its own.
When to Use This Skill
- User asks "What's my overall conviction?" or "How should I be positioned?"
- User wants a unified view synthesizing breadth, uptrend, top risk, macro, and FTD signals
- User asks about Druckenmiller-style portfolio positioning
- User requests strategy synthesis after running individual analysis skills
- User asks "Should I increase or decrease exposure?"
- User wants pattern classification (policy pivot, distortion, contrarian, wait)
Input Requirements
Required Skills (5)
| # | Skill | JSON Prefix | Role | |---|-------|-------------|------| | 1 | Market Breadth Analyzer | market_breadth_ | Market participation breadth | | 2 | Uptrend Analyzer | uptrend_analysis_ | Sector uptrend ratios | | 3 | Market Top Detector | market_top_ | Distribution / top risk (defense) | | 4 | Macro Regime Detector | macro_regime_ | Macro regime transition (1-2Y structure) | | 5 | FTD Detector | ftd_detector_ | Bottom confirmation / re-entry (offense) |
Optional Skills (3)
| # | Skill | JSON Prefix | Role | |---|-------|-------------|------| | 6 | VCP Screener | vcp_screener_ | Momentum stock setups (VCP) | | 7 | Theme Detector | theme_detector_ | Theme / sector momentum | | 8 | CANSLIM Screener | canslim_screener_ | Growth stock setups + M(Market Direction) |
Run the required skills first. The synthesizer reads their JSON output from reports/.
Execution Workflow
Phase 1: Verify Prerequisites
Check that the 5 required skill JSON reports exist in reports/ and are recent (= 60 + contraction/inflationary regime | "How much you lose when wrong matters most" | | Extreme Sentiment Contrarian | FTD confirmed + high top risk + bearish breadth | "Most money made in bear markets" | | Wait & Observe | Low conviction + mixed signals (default) | "When you don't see it, don't swing" |
Conviction Zone Mapping
| Score | Zone | Exposure | Guidance | |-------|------|----------|----------| | 80-100 | Maximum Conviction | 90-100% | Fat pitch - swing hard | | 60-79 | High Conviction | 70-90% | Standard risk management | | 40-59 | Moderate Conviction | 50-70% | Reduce position sizes | | 20-39 | Low Conviction | 20-50% | Preserve capital, minimal risk | | 0-19 | Capital Preservation | 0-20% | Maximum defense |
Output Files
druckenmiller_strategy_YYYY-MM-DD_HHMMSS.json— Structured analysis datadruckenmiller_strategy_YYYY-MM-DD_HHMMSS.md— Human-readable report
API Requirements
None. This skill reads JSON outputs from other skills. No API keys required.
Reference Documents
references/investment-philosophy.md
- Core Druckenmiller principles: concentration, capital preservation, 18-month horizon
- Quantitative rules: daily vol targets, max position sizing
- Load when providing philosophical context for conviction assessment
references/market-analysis-guide.md
- Signal-to-action mapping framework
- Macro regime interpretation for allocation decisions
- Load when explaining component scores or allocation rationale
references/case-studies.md
- Historical examples: 1992 GBP, 2000 tech bubble, 2008 crisis
- Pattern classification examples with actual market conditions
- Load when user asks about historical parallels
references/conviction_matrix.md
- Quantitative signal-to-action mapping tables
- Market Top Zone x Macro Regime matrix
- Load when user needs precise exposure numbers for specific signal combinations
When to Load References
- First use: Load
investment-philosophy.mdfor framework understanding - Allocation questions: Load
market-analysis-guide.md+conviction_matrix.md - Historical context: Load
case-studies.md - Regular execution: References not needed — script handles scoring
Relationship to Other Skills
| Skill | Relationship | Time Horizon | |-------|-------------|-------------| | Market Breadth Analyzer | Input (required) | Current snapshot | | Uptrend Analyzer | Input (required) | Current snapshot | | Market Top Detector | Input (required) | 2-8 weeks tactical | | Macro Regime Detector | Input (required) | 1-2 years structural | | FTD Detector | Input (required) | Days-weeks event | | VCP Screener | Input (optional) | Setup-specific | | Theme Detector | Input (optional) | Weeks-months thematic | | CANSLIM Screener | Input (optional) | Setup-specific | | This Skill | Synthesizer | Unified conviction |
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: xonevn-ai
- Source: xonevn-ai/xone-trading-skills
- License: MIT
- Homepage: https://xone.vn
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.