market-weather

Installation
SKILL.md

/digital-marketing-pro:market-weather

Script location. If your host does not set ${CLAUDE_PLUGIN_ROOT}, the scripts are in this plugin's scripts/ folder, next to skills/. Run them with Python 3.10 or newer: python, or python3 where python is not found (macOS, many Linux systems).

Purpose

Generate a Marketing Weather Report — a single-page assessment combining all external signals that affect marketing effectiveness right now. Score current conditions for marketing action (green, yellow, or red) across five dimensions: economic climate, cultural moments, industry and competitive activity, platform changes, and regulatory updates. This command gives marketers a quick go/no-go signal before launching campaigns, adjusting budgets, or making timing decisions. Instead of checking multiple dashboards and news sources, get one consolidated view of whether conditions favor aggressive marketing action, cautious optimization, or defensive positioning. Reports are time-horizon-aware — this week's weather may differ from this quarter's forecast.

Input Required

The user must provide (or will be prompted for):

  • Industry context (optional): Specific industry or vertical to focus the assessment on. If omitted, uses the active brand profile's industry classification. Industry context determines which economic indicators, regulatory developments, and competitive signals are most relevant
  • Time horizon: The planning window for the assessment — this-week (tactical, what to act on now), this-month (operational, what to prepare for), or this-quarter (strategic, what to plan around). Each horizon adjusts the signal weighting and recommendation specificity. If omitted, defaults to this-month
  • Specific concerns to check (optional): Particular areas the user wants assessed — e.g., "any platform algorithm changes this week", "regulatory developments in data privacy", "competitor product launches", or "economic indicators affecting ad spend". These get priority attention in the report alongside the standard five-dimension scan

Process

Installs
115
GitHub Stars
882
First Seen
Feb 27, 2026