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This collection provides structured capabilities for equity traders to evaluate market conditions and refine trading edges. It enables the analysis of S&P 500 breadth indices and uptrend stock ratios to determine tactical market outlooks.
By integrating technical chart analysis with the monitoring of earnings announcements and central bank decisions, the skills help traders transition from raw market data to structured positioning strategies.
Compatible AgentsThe repository documents support for these agents. The skills may also work with other agents that can load SKILL.md files, but they may need some setup or small changes.
Follow the documented setup, then try a first task.
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Claude Web App skill upload
Installs: One user-selected .skill package from the repository's skill-packages directory; the supplied evidence does not map package files to specific SKILL.md paths. · Claude Web App
Before you start
Claude Web account with Skills access
Python 3.9+ for helper scripts
For an individual account, Code execution and file creation must be enabled; Team and Enterprise users may require an organization owner to enable Skills
Platform: Claude Web App
Download the .skill ZIP for the desired skill from the repository's skill-packages directory.
For an individual account, open Settings > Capabilities and enable Code execution and file creation. Team and Enterprise users may need an organization owner to enable Skills.
Open Customize > Skills and upload the downloaded .skill file.
Confirm that the skill appears in Customize > Skills and enable it if necessary.
FXMACRODATA_API_KEY only if an authenticated endpoint is needed; public USD calendar rows can be fetched without it
Check the repository for this skill’s setup.
Use the fxmacrodata-calendar skill to retrieve the USD calendar with minimum tier 1. Summarize the returned top-tier releases, including each confirmed announcement timestamp and release identifier, and explain which events may warrant pausing new entries, reducing leverage or position size, or scheduling a follow-up review. Treat any nonzero exit or unverified response as unknown event risk rather than an empty calendar.
Replace <INPUT_JSON_PATH> with a JSON bundle containing at least one of trade_log, journal_snippets, market_data, or observations
Python 3.9+ with pyyaml installed
Check the repository for this skill’s setup.
Use the trade-hypothesis-ideator skill with the JSON bundle at <INPUT_JSON_PATH>. Produce up to three ranked, falsifiable hypothesis cards grounded in its evidence snippets, including an experiment design and kill criteria for each. Do not export strategy files yet.
Review a market scenario through a capital-preservation lens
Uses stanley-druckenmiller-investment
Replace <MARKET_SCENARIO> with current market observations or a hypothetical scenario
Investment objectives and constraints
Risk tolerance
Check the repository for this skill’s setup.
Use the stanley-druckenmiller-investment skill to review the market scenario below for educational purposes. Assess the current environment, the possible 18-month outlook, central-bank policy and liquidity, consensus gaps, and downside risks. Ask about my objectives, constraints, and risk tolerance where needed, and avoid recommending individual securities.
Market scenario: <MARKET_SCENARIO>
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