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Agent skill

Druckenmiller

by questflowai in questflowai/investorskills

A skill your agent uses when evaluating top-down macro trades, liquidity regimes, currency/rates/equity themes, concentrated risk-taking, and quick loss-cutting in a Stanley Druckenmiller style.

MITAuto-check passed

Install Druckenmiller

skills CLI
$ npx skills add questflowai/investorskills --skill druckenmiller -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install questflowai/investorskills druckenmiller --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/questflowai/investorskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/druckenmiller .claude/skills/druckenmiller && rm -rf skills-src

Use ~/.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/

Facts

Skill name
druckenmiller
GitHub stars
1.9k
Token cost
~621 tokens
SKILL.md length
287 words
Files
2
Skills in repo
63
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when evaluating top-down macro trades, liquidity regimes, currency/rates/equity themes, concentrated risk-taking, and quick loss-cutting in a Stanley Druckenmiller style.

  • Works in 7 steps: Identify the single dominant driver. → Check whether liquidity, policy, and… → Compare the thesis to consensus and… → …
  • Evaluating top-down macro trades
  • SKILL.md covers When To Use, Do Not Use When, Inputs Needed and Process, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Druckenmiller is an agent skill from questflowai/investorskills. Use when evaluating top-down macro trades, liquidity regimes, currency/rates/equity themes, concentrated risk-taking, and quick loss-cutting in a Stanley Druckenmiller style.

Its SKILL.md is about 620 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `invest.md`).

The repository describes itself as: Investor Skills is an open-source library that turns durable investing judgment into portable, structured formats. It collects how great investors think, filter opportunities… The licence is MIT.

When your agent uses it

  • Evaluating top-down macro trades
  • Liquidity regimes
  • Currency/rates/equity themes
  • Concentrated risk-taking

Example prompts

  • “/druckenmiller”

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. Identify the single dominant driver.
  2. Check whether liquidity, policy, and price action align.
  3. Compare the thesis to consensus and positioning.
  4. Define the cleanest liquid expression.
  5. Start with risk that can be cut quickly.
  6. Press only if the thesis is working and confirmation improves.
  7. Exit fast if the market rejects the thesis.

What it can do on your machine

Read from SKILL.md and the folder at commit 2844d78. 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

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    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

Druckenmiller loads about 621 tokens when it runs. Until then it costs about 47 tokens; SKILL.md has 287 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~47
When it runs · the whole SKILL.md, loaded when a task matches
~621

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from questflowai/investorskills at commit 2844d78, republished under its MIT licence (© questflowai). 287 words, ~621 tokens.

Download SKILL.mdSave it as .claude/skills/druckenmiller/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
druckenmiller
description
Use when evaluating top-down macro trades, liquidity regimes, currency/rates/equity themes, concentrated risk-taking, and quick loss-cutting in a Stanley Druckenmiller style.
invest
./invest.md

Druckenmiller Macro

Use this skill to apply Stanley Druckenmiller-style macro judgment: identify the dominant factor, align with liquidity and market confirmation, concentrate when the setup is exceptional, and cut losses quickly when wrong.

When To Use

Use this skill when the user asks for:

  • Top-down macro trade analysis
  • Liquidity and central-bank regime review
  • Currency, rates, equity index, or commodity theme analysis
  • Whether to press a high-conviction winner
  • Risk management for concentrated macro positions

Trigger phrases include Druckenmiller, macro, liquidity, central bank, rates, currency, press winners, concentrated trade, and cut losses.

Do Not Use When

  • There is no clear dominant macro driver.
  • The trade has no liquid expression.
  • The user wants a low-volatility diversified allocation.
  • The setup is mediocre but the user wants oversized risk.

Inputs Needed

  • Macro theme or asset
  • Central-bank, liquidity, rates, currency, growth, and inflation context
  • Price trend and cross-asset confirmation
  • Consensus positioning and expected catalyst path
  • Current exposure and loss limit if sizing is requested

Process

  1. Identify the single dominant driver.
  2. Check whether liquidity, policy, and price action align.
  3. Compare the thesis to consensus and positioning.
  4. Define the cleanest liquid expression.
  5. Start with risk that can be cut quickly.
  6. Press only if the thesis is working and confirmation improves.
  7. Exit fast if the market rejects the thesis.

Output Format

md
# Druckenmiller Macro View: [Theme]

## Verdict
Press / Probe / Hold / Cut / Pass

## Dominant Driver

## Liquidity And Policy

## Market Confirmation

## Trade Expression

## Sizing And Risk

## What Would Prove Us Wrong

## Missing Data

Guardrails

  • Do not diversify away the edge when the setup is exceptional.
  • Do not concentrate in an unconfirmed or illiquid setup.
  • Do not let a losing macro view become an identity.
  • Do not fight price action indefinitely.
  • Cut quickly when the thesis is wrong.

Questflow Use

In Questflow, this skill is best used as a top-down macro allocation and risk module across connected brokers, exchanges, wallets, and Funds.

© questflowai, 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 1 other file in skills/druckenmiller of questflowai/investorskills.

  • SKILL.md
  • invest.md

Open the folder on GitHubat commit 2844d78

Compare with similar skills

Druckenmiller 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.

Druckenmiller compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Druckenmiller this skillquestflowai/investorskills1.9k—~621Automated safety check: PassMIT
Macro Regime Detectortradermonty/claude-trading-skills3k1 repos~1.2kAutomated safety check: PassMIT
Arize Evaluatorgithub/awesome-copilot40k1 repos~8.1kAutomated safety check: NotesMIT
Agent Trading Predictorruvnet/ruflo74k2 repos~2.5kAutomated safety check: PassMIT
Trader Regimeruvnet/ruflo74k—~408Automated safety check: NotesMIT
LLM Evaluationdavila7/claude-code-templates33k12 repos~3.5kAutomated safety check: PassMIT

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Questions about Druckenmiller

What does Druckenmiller do?

A skill your agent uses when evaluating top-down macro trades, liquidity regimes, currency/rates/equity themes, concentrated risk-taking, and quick loss-cutting in a Stanley Druckenmiller style. Druckenmiller is an agent skill from questflowai/investorskills. Use when evaluating top-down macro trades, liquidity regimes, currency/rates/equity themes, concentrated risk-taking, and quick loss-cutting in a Stanley Druckenmiller style.

When should I use Druckenmiller?

Druckenmiller fits situations like: evaluating top-down macro trades; liquidity regimes; currency/rates/equity themes; concentrated risk-taking.

How do I install Druckenmiller in Claude Code?

Run `npx skills add questflowai/investorskills --skill druckenmiller -a claude-code`. Or copy the skill folder (skills/druckenmiller in questflowai/investorskills) into .claude/skills/druckenmiller in your project. Claude Code loads it when a task matches its description.

How do I install Druckenmiller in Codex?

Run `npx skills add questflowai/investorskills --skill druckenmiller -a codex`. Or copy the skill folder (skills/druckenmiller in questflowai/investorskills) into .agents/skills/druckenmiller in your project. Codex loads it when a task matches its description.

Can I use Druckenmiller 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 questflowai/investorskills --skill druckenmiller -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/druckenmiller, .gemini/skills/druckenmiller, .github/skills/druckenmiller and .opencode/skills/druckenmiller in your project.

What does Druckenmiller need to run?

SKILL.md names no scripts, command-line tools or credentials: Druckenmiller is instructions for the agent only.

Does Druckenmiller 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 Druckenmiller 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. Review the folder before installing.

What licence does Druckenmiller use?

Druckenmiller 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 Druckenmiller use?

About 621 tokens (SKILL.md is roughly 2.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Druckenmiller?

Skills that share tags, products or a category with Druckenmiller: Macro Regime Detector (tradermonty/claude-trading-skills, 3k stars), Arize Evaluator (github/awesome-copilot, 40k stars), Agent Trading Predictor (ruvnet/ruflo, 74k stars) and Trader Regime (ruvnet/ruflo, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Druckenmiller?

questflowai (a GitHub organization) maintains it in questflowai/investorskills, which has 1,898 GitHub stars. The repository holds 63 skills in this directory. The repository was last updated on August 23, 2026.

Source: questflowai/investorskills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.