stanley-druckenmiller-investment
Druckenmiller Strategy Synthesizer - Integrates 8 upstream skill outputs (Market Breadth, Uptrend Analysis, Market Top, Macro Regime, FTD Detector, VCP Screener, Theme Detector, CANSLIM Screener) into a unified conviction score (0-100), pattern classification, and allocation recommendation. Use when user asks about overall market conviction, portfolio positioning, asset allocation, strategy synthesis, or Druckenmiller-style analysis. Triggers on queries like "What is my conviction level?", "How should I position?", "Run the strategy synthesizer", "Druckenmiller analysis", "総合的な市場判断", "確信度スコア",
npx skills add BaggaT236/AI-Trading-Skills --skill stanley-druckenmiller-investment --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 **English:** - 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) **Japanese:** - 「総合的な市場判断は？」「今のポジショニングは？」 - ブレッドス、アップトレンド、天井リスク、マクロの統合判断 - 「エクスポージャーを増やすべき？減らすべき？」 - 「ドラッケンミラー分析を実行して」 - 個別スキル実行後の戦略統合レポート --- ## Input Requirements ### Required Skills (5) | # | Skill | JSON Prefix | Role | |---|-------|-------------|------| | 1 | Market Breadth Analyzer | `market_breadth_` | Market
- Purpose
- When to Use This Skill
- Input Requirements
- Required Skills (5)
- Optional Skills (3)
- Execution Workflow
- Phase 1: Verify Prerequisites
- Phase 2: Execute Strategy Synthesizer
- Phase 3: Present Results
- Phase 4: Provide Druckenmiller Context
- 7-Component Scoring System
- 4 Pattern Classifications
- Conviction Zone Mapping
- Output Files
python3 skills/stanley-druckenmiller-investment/scripts/strategy_synthesizer.py \
What does the stanley-druckenmiller-investment skill do?
Druckenmiller Strategy Synthesizer - Integrates 8 upstream skill outputs (Market Breadth, Uptrend Analysis, Market Top, Macro Regime, FTD Detector, VCP Screener, Theme Detector, CANSLIM Screener) into a unified conviction score (0-100), pattern classification, and allocation recommendation. Use when user asks about overall market conviction, portfolio positioning, asset allocation, strategy synthesis, or Druckenmiller-style analysis. Triggers on queries like "What is my conviction level?", "How should I position?", "Run the strategy synthesizer", "Druckenmiller analysis", "総合的な市場判断", "確信度スコア",
How do I install it?
Run `npx skills add BaggaT236/AI-Trading-Skills --skill stanley-druckenmiller-investment --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From BaggaT236/AI-Trading-Skills, a repository with 118 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.