Marketing Os
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Druckenmiller Strategy Synthesizer - Integrates 8 upstream skill outputs (Market Breadth, Uptrend Analysis, Market Top, Macro Regime, FTD Detector, VCP Screener, Theme Detector, CANSLIM Screener)…
Install Stanley Druckenmiller Investment
$ npx skills add tradermonty/claude-trading-skills --skill stanley-druckenmiller-investment -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install tradermonty/claude-trading-skills stanley-druckenmiller-investment --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/stanley-druckenmiller-investment .claude/skills/stanley-druckenmiller-investment && rm -rf skills-srcUse ~/.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/
Install the "stanley-druckenmiller-investment" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/stanley-druckenmiller-investment into .claude/skills/stanley-druckenmiller-investment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stanley-druckenmiller-investment", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/tradermonty/claude-trading-skills/tree/main/skills/stanley-druckenmiller-investmentType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add tradermonty/claude-trading-skills --skill stanley-druckenmiller-investment -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install tradermonty/claude-trading-skills stanley-druckenmiller-investment --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/stanley-druckenmiller-investment .agents/skills/stanley-druckenmiller-investment && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "stanley-druckenmiller-investment" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/stanley-druckenmiller-investment into .agents/skills/stanley-druckenmiller-investment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stanley-druckenmiller-investment", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add tradermonty/claude-trading-skills --skill stanley-druckenmiller-investment -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install tradermonty/claude-trading-skills stanley-druckenmiller-investment --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/stanley-druckenmiller-investment .cursor/skills/stanley-druckenmiller-investment && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "stanley-druckenmiller-investment" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/stanley-druckenmiller-investment into .cursor/skills/stanley-druckenmiller-investment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stanley-druckenmiller-investment", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/tradermonty/claude-trading-skills.git --path skills/stanley-druckenmiller-investment--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add tradermonty/claude-trading-skills --skill stanley-druckenmiller-investment -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install tradermonty/claude-trading-skills stanley-druckenmiller-investment --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/stanley-druckenmiller-investment .gemini/skills/stanley-druckenmiller-investment && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "stanley-druckenmiller-investment" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/stanley-druckenmiller-investment into .gemini/skills/stanley-druckenmiller-investment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stanley-druckenmiller-investment", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install tradermonty/claude-trading-skills stanley-druckenmiller-investmentInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add tradermonty/claude-trading-skills --skill stanley-druckenmiller-investment -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/stanley-druckenmiller-investment .github/skills/stanley-druckenmiller-investment && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "stanley-druckenmiller-investment" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/stanley-druckenmiller-investment into .github/skills/stanley-druckenmiller-investment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stanley-druckenmiller-investment", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add tradermonty/claude-trading-skills --skill stanley-druckenmiller-investment -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install tradermonty/claude-trading-skills stanley-druckenmiller-investment --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/stanley-druckenmiller-investment .opencode/skills/stanley-druckenmiller-investment && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "stanley-druckenmiller-investment" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/stanley-druckenmiller-investment into .opencode/skills/stanley-druckenmiller-investment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stanley-druckenmiller-investment", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
stanley-druckenmiller-investment- GitHub stars
- 3k
- Used in
- 1 other repo
- Token cost
- ~2k tokens
- SKILL.md length
- 767 words
- Files
- 18 (incl. scripts, references, assets)
- Skills in repo
- 74
- Repo updated
- First seen
- Licence
- MIT
At a glance
Druckenmiller Strategy Synthesizer - Integrates 8 upstream skill outputs (Market Breadth, Uptrend Analysis, Market Top, Macro Regime, FTD Detector, VCP Screener, Theme Detector, CANSLIM Screener)…
- Works in 4 steps: Verify Prerequisites → Execute Strategy Synthesizer → Present Results → …
- User asks about overall market conviction
- SKILL.md covers Purpose, When to Use This Skill, Input Requirements and Execution Workflow, plus 7 more sections
- Runs Python scripts from its folder; calls python3
What it does
Stanley Druckenmiller Investment is an agent skill from tradermonty/claude-trading-skills. 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…
Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 21 other files, including scripts, reference files and assets (for example `assets/strategy_report_template.md`, `references/case-studies.md` and `references/conviction_matrix.md`).
It sits in Marketing & SEO, covering Positioning and messaging. The repository describes itself as: Claude Code skills for equity investors and traders — market analysis, technical charting, economic calendars, screeners, and trading strategy development. The licence is MIT.
When your agent uses it
- User asks about overall market conviction
- Portfolio positioning
- Asset allocation
- Strategy synthesis
Example prompts
- “What is my conviction level?”
- “How should I position?”
- “Run the strategy synthesizer”
- “/stanley-druckenmiller-investment”
Requirements
- Python 3
Workflow steps
4 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit c8d58f0. 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
Ships 10 files in scripts/ (Python, from the files we listed), which the agent can run.
Shell commands in SKILL.md call:
python3
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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
Stanley Druckenmiller Investment loads about 2k tokens when it runs, and up to ~7.4k if it reads all its reference files. Until then it costs about 165 tokens; SKILL.md has 767 words of instructions outside code blocks.
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); the scripts in this folder are not scanned.
SKILL.md
The full file from tradermonty/claude-trading-skills at commit c8d58f0, republished under its MIT licence (© tradermonty). 767 words, ~1,993 tokens.
Download SKILL.mdSave it as
.claude/skills/stanley-druckenmiller-investment/SKILL.md (or your agent's skills folder). This skill also uses 17 other files; get the full folder from GitHub.- name
- stanley-druckenmiller-investment
- description
- 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", "ポートフォリオ配分", "ドラッケンミラー分析".
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 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 (< 72 hours). If any are missing, run the corresponding skill first.
Phase 2: Execute Strategy Synthesizer
python3 skills/stanley-druckenmiller-investment/scripts/strategy_synthesizer.py \
--reports-dir reports/ \
--output-dir reports/ \
--max-age 72The script will:
- Load and validate all upstream skill JSON reports
- Extract normalized signals from each skill
- Calculate 7 component scores (weighted 0-100)
- Compute composite conviction score
- Classify into one of 4 Druckenmiller patterns
- Generate target allocation and position sizing
- Output JSON and Markdown reports
Phase 3: Present Results
Present the generated Markdown report, highlighting:
- Conviction score and zone
- Detected pattern and match strength
- Strongest and weakest components
- Target allocation (equity/bonds/alternatives/cash)
- Position sizing parameters
- Relevant Druckenmiller principle
Phase 4: Provide Druckenmiller Context
Load appropriate reference documents to provide philosophical context:
- High conviction: Emphasize concentration and "fat pitch" principles
- Low conviction: Emphasize capital preservation and patience
- Pattern-specific: Apply relevant case study from
references/case-studies.md
7-Component Scoring System
| # | Component | Weight | Source Skill(s) | Key Signal |
|---|---|---|---|---|
| 1 | Market Structure | 18% | Breadth + Uptrend | Market participation health |
| 2 | Distribution Risk | 18% | Market Top (inverted) | Institutional selling risk |
| 3 | Bottom Confirmation | 12% | FTD Detector | Re-entry signal after correction |
| 4 | Macro Alignment | 18% | Macro Regime | Regime favorability |
| 5 | Theme Quality | 12% | Theme Detector | Sector momentum health |
| 6 | Setup Availability | 10% | VCP + CANSLIM | Quality stock setups |
| 7 | Signal Convergence | 12% | All 5 required | Cross-skill agreement |
Show full SKILL.md (318 more words)Show less
4 Pattern Classifications
| Pattern | Trigger Conditions | Druckenmiller Principle |
|---|---|---|
| Policy Pivot Anticipation | Transitional regime + high transition probability | "Focus on central banks and liquidity" |
| Unsustainable Distortion | Top risk >= 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 |
© tradermonty, 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 17 other files (scripts, references, assets) in skills/stanley-druckenmiller-investment of tradermonty/claude-trading-skills.
- SKILL.md
- assets/strategy_report_template.md
- references/case-studies.md
- references/conviction_matrix.md
- references/investment-philosophy.md
- references/market-analysis-guide.md
- requirements.txt
- scripts/allocation_engine.py
- scripts/report_generator.py
- scripts/report_loader.py
- scripts/scorer.py
- scripts/strategy_synthesizer.py
- scripts/tests/conftest.py
- scripts/tests/test_allocation_engine.py
- scripts/tests/test_report_generator.py
- scripts/tests/test_report_loader.py
- scripts/tests/test_scorer.py
- … and 1 more
Open the folder on GitHubat commit c8d58f0
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in tradermonty/claude-trading-skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Stanley Druckenmiller Investment 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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|---|---|---|---|---|---|---|
| Stanley Druckenmiller Investment this skilltradermonty/claude-trading-skills | 3k | 1 repos | ~2k | Automated safety check: Pass | MIT | |
| Marketing OsYuzzyuk/marketing-os | 540 | — | ~2.5k | Automated safety check: Pass | MIT | |
| Revenue Centric Designheliocosta-dev/revenue-centric-design | 740 | — | ~1.6k | Automated safety check: Pass | Custom licence | |
| Startup Positioningferdinandobons/startup-skill | 1.2k | — | ~4.6k | Automated safety check: Pass | MIT | |
| B2b Playbookweilun88313/B2B-Playbook | 203 | — | ~3.1k | Automated safety check: Pass | Proprietary | |
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Questions about Stanley Druckenmiller Investment
What does Stanley Druckenmiller Investment 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)…. Stanley Druckenmiller Investment is an agent skill from tradermonty/claude-trading-skills. 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.
When should I use Stanley Druckenmiller Investment?
Stanley Druckenmiller Investment fits situations like: user asks about overall market conviction; portfolio positioning; asset allocation; strategy synthesis.
How do I install Stanley Druckenmiller Investment in Claude Code?
Run `npx skills add tradermonty/claude-trading-skills --skill stanley-druckenmiller-investment -a claude-code`. Or copy the skill folder (skills/stanley-druckenmiller-investment in tradermonty/claude-trading-skills) into .claude/skills/stanley-druckenmiller-investment in your project. Claude Code loads it when a task matches its description.
How do I install Stanley Druckenmiller Investment in Codex?
Run `npx skills add tradermonty/claude-trading-skills --skill stanley-druckenmiller-investment -a codex`. Or copy the skill folder (skills/stanley-druckenmiller-investment in tradermonty/claude-trading-skills) into .agents/skills/stanley-druckenmiller-investment in your project. Codex loads it when a task matches its description.
Can I use Stanley Druckenmiller Investment 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 tradermonty/claude-trading-skills --skill stanley-druckenmiller-investment -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/stanley-druckenmiller-investment, .gemini/skills/stanley-druckenmiller-investment, .github/skills/stanley-druckenmiller-investment and .opencode/skills/stanley-druckenmiller-investment in your project.
What does Stanley Druckenmiller Investment need to run?
Going by SKILL.md and its folder, Stanley Druckenmiller Investment needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.
Does Stanley Druckenmiller Investment access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Stanley Druckenmiller Investment 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Stanley Druckenmiller Investment use?
Stanley Druckenmiller Investment 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 Stanley Druckenmiller Investment use?
About 2k tokens (SKILL.md is roughly 8k 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 5.4k tokens, read only when the agent opens those files.
What are the alternatives to Stanley Druckenmiller Investment?
Skills that share tags, products or a category with Stanley Druckenmiller Investment: Marketing Os (Yuzzyuk/marketing-os, 540 stars), Revenue Centric Design (heliocosta-dev/revenue-centric-design, 740 stars), Startup Positioning (ferdinandobons/startup-skill, 1.2k stars) and B2b Playbook (weilun88313/B2B-Playbook, 203 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Stanley Druckenmiller Investment?
tradermonty (a GitHub user) maintains it in tradermonty/claude-trading-skills, which has 2,982 GitHub stars. The repository holds 74 skills in this directory. The repository was last updated on October 11, 2026.
Source: tradermonty/claude-trading-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.