# Exposure Coach

Generate a one-page Market Posture summary with net exposure ceiling, growth-vs-value...

- Repository: https://github.com/tradermonty/claude-trading-skills (3536 stars)
- Category: Marketing
- License: MIT
- Last updated: 2026-11-01
- Runs scripts: yes, review before use

## Install

Claude Code: `npx skills add tradermonty/claude-trading-skills --skill exposure-coach -g -a claude-code -y`
Codex: `npx skills add tradermonty/claude-trading-skills --skill exposure-coach -g -a codex -y`
Cursor: `npx skills add tradermonty/claude-trading-skills --skill exposure-coach -g -a cursor -y`
Gemini CLI: `npx skills add tradermonty/claude-trading-skills --skill exposure-coach -g -a gemini-cli -y`

## Description

Generate a one-page Market Posture summary with net exposure ceiling, growth-vs-value bias, participation breadth, and new-entry-allowed vs cash-priority recommendation by integrating signals from breadth, regime, and flow analysis skills.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Exposure Coach

## Overview

Exposure Coach synthesizes outputs from market-breadth-analyzer, uptrend-analyzer, macro-regime-detector, market-top-detector, ftd-detector, theme-detector, sector-analyst, and institutional-flow-tracker into a unified control-plane decision. The skill answers the solo trader's core question: "How much capital should I commit to equities right now?" before any individual stock analysis begins.

## When to Use

- Before initiating any new stock positions to determine appropriate capital commitment
- At the start of each trading week to calibrate portfolio exposure
- When multiple market signals conflict and a unified posture is needed
- After significant macro or market events to reassess exposure ceiling
- When transitioning between market regimes (broadening, concentration, contraction)

## Prerequisites

- Python 3.9+
- FMP API key (set `FMP_API_KEY` environment variable) for institutional-flow-tracker data
- Input JSON files from upstream skills (see Workflow Step 1)
- Standard library + `argparse`, `json`, `datetime`

## Workflow

### Step 1: Gather Upstream Skill Outputs

Collect the most recent JSON outputs from integrated skills. Each file provides a specific signal dimension:

The rest: https://github.com/tradermonty/claude-trading-skills/blob/HEAD/skills/exposure-coach/SKILL.md