Rate market weather by script: economy, competition, platform and regulatory shifts, scored.

MITAuto-check passedMarketing & SEO

Install Market Weather

skills CLI
$ npx skills add indranilbanerjee/digital-marketing-pro --skill market-weather -a claude-code

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

GitHub CLI
$ gh skill install indranilbanerjee/digital-marketing-pro market-weather --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/indranilbanerjee/digital-marketing-pro.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/market-weather .claude/skills/market-weather && 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
market-weather
GitHub stars
862
Used in
1 other repo
Token cost
~1.7k tokens
SKILL.md length
818 words
Files
1
Skills in repo
162
Repo updated
First seen
Licence
MIT

At a glance

Rate market weather by script: economy, competition, platform and regulatory shifts, scored.

  • Works in 6 steps: Load brand context: Read… → Generate weather report: Run python… → Review and categorize signals: Review… → …
  • Marketing & SEO work in your project
  • SKILL.md covers Purpose, Input Required, Process and Output, plus 1 more section
  • Calls python

What it does

Market Weather is an agent skill from indranilbanerjee/digital-marketing-pro. Rate market weather by script: economy, competition, platform and regulatory shifts, scored. "is now a good time to launch"

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Marketing & SEO. The repository describes itself as: An open-source AI marketing operating system for strategy, SEO, AEO/GEO, paid media, content, CRM, and analytics - grounded in brand context, human approval, and verifiable… The licence is MIT.

When your agent uses it

  • Marketing & SEO work in your project

Example prompts

  • “is now a good time to launch”
  • “/market-weather”

Requirements

  • Python 3

Workflow steps

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

  1. Load brand context: Read ~/.claude-marketing/brands/_active-brand.json for the active slug, then load…
  2. Generate weather report: Run python "${CLAUDE_PLUGIN_ROOT}/scripts/macro-signal-tracker.py" --brand {slug} --action weather-report to pull…
  3. Review and categorize signals: Review all signals recorded in the last 30 days. Categorize each by dimension — economic (consumer…
  4. Score each category and overall conditions: Assign a condition score to each dimension — green (favorable for marketing action, no…
  5. Generate recommendations based on conditions: For each dimension and overall, provide specific actionable recommendations tied to the time…
  6. Highlight upcoming events and dates: Surface events, dates, and deadlines within the time horizon that require preparation — holiday…

What it can do on your machine

Read from SKILL.md and the folder at commit 9e949f3. 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

    Shell commands in SKILL.md call:

    • python

    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

Market Weather loads about 1.7k tokens when it runs. Until then it costs about 35 tokens; SKILL.md has 818 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~35
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k

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 indranilbanerjee/digital-marketing-pro at commit 9e949f3, republished under its MIT licence (© indranilbanerjee). 818 words, ~1,656 tokens.

Download SKILL.mdSave it as .claude/skills/market-weather/SKILL.md (or your agent's skills folder).
name
market-weather
description
Rate market weather by script: economy, competition, platform and regulatory shifts, scored. "is now a good time to launch"

/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/.

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

  1. Load brand context: Read ~/.claude-marketing/brands/_active-brand.json for the active slug, then load ~/.claude-marketing/brands/{slug}/profile.json. Apply industry classification, target markets, competitive set, and channel mix to focus the weather assessment on relevant signals. Also check for guidelines at ~/.claude-marketing/brands/{slug}/guidelines/_manifest.json — if present, load restrictions. Check for agency SOPs at ~/.claude-marketing/sops/. If no brand exists, ask: "Set up a brand first (/digital-marketing-pro:brand-setup)?" — or proceed with defaults.
  2. Generate weather report: Run python "${CLAUDE_PLUGIN_ROOT}/scripts/macro-signal-tracker.py" --brand {slug} --action weather-report to pull the latest recorded signal data across all five dimensions. (The script reads the brand's industry from its profile; the time horizon is applied when you weight and phrase the recommendations, not as a script flag — there are no --industry/--horizon flags.) If specific concerns were provided, prioritize them in the analysis.
  3. Review and categorize signals: Review all signals recorded in the last 30 days. Categorize each by dimension — economic (consumer confidence, ad market pricing, industry spending trends), cultural (holidays, awareness months, viral moments, social movements), industry (competitor launches, M&A, market shifts), platform (algorithm updates, new ad formats, policy changes, outages), and regulatory (privacy laws, advertising regulations, compliance deadlines). Weight recency and impact severity.
  4. Score each category and overall conditions: Assign a condition score to each dimension — green (favorable for marketing action, no headwinds), yellow (proceed with caution, monitor specific risks, adjust tactics), or red (significant headwinds, delay non-essential launches, shift to defensive positioning). Calculate an overall marketing weather score as the weighted combination of all five dimensions, with weights adjusted by the brand's channel mix and market exposure.
  5. Generate recommendations based on conditions: For each dimension and overall, provide specific actionable recommendations tied to the time horizon. Green conditions get acceleration recommendations. Yellow conditions get risk-mitigation tactics. Red conditions get defensive playbooks. All recommendations reference the specific signals driving the score.
  6. Highlight upcoming events and dates: Surface events, dates, and deadlines within the time horizon that require preparation — holiday campaigns, platform migration deadlines, regulatory compliance dates, competitor event dates, and cultural moments worth leveraging or avoiding.
Show full SKILL.md (232 more words)Show less

Output

A structured Marketing Weather Report containing:

  • Overall marketing weather condition: Green, yellow, or red with a one-sentence summary — the executive-level go/no-go signal for marketing action in the current time horizon
  • Per-category conditions: Individual green/yellow/red scores for economic climate, cultural moments, industry and competitive activity, platform changes, and regulatory updates — each with the top signal driving the score and a brief rationale
  • Top signals requiring attention: The 3-5 most impactful signals across all dimensions, ranked by urgency and potential impact on the brand's marketing effectiveness — the signals that should inform this week's decisions regardless of the time horizon selected
  • Upcoming events calendar: Events, dates, and deadlines within the time horizon that need preparation — with lead time estimates and recommended actions for each
  • Recommendations for the time horizon: Specific tactical, operational, or strategic recommendations matched to the selected time horizon and current conditions — what to launch, what to pause, what to prepare, and what to monitor
  • Comparison to previous report: If a prior weather report exists for this brand, show trend direction for each dimension — improving, stable, or declining — so the user can see whether conditions are getting better or worse

Agents Used

  • market-intelligence — Signal assessment across all five dimensions with severity and recency weighting, condition scoring methodology calibrated to brand industry and channel mix, time-horizon-aware recommendation generation, upcoming event identification with preparation timelines, and trend comparison against previous reports for directional context

© indranilbanerjee, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/market-weather of indranilbanerjee/digital-marketing-pro.

Open the folder on GitHubat commit 9e949f3

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 indranilbanerjee/digital-marketing-pro, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Market Weather 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.

Market Weather compared with similar skills
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Market Weather this skillindranilbanerjee/digital-marketing-pro8621 repos~1.7kAutomated safety check: PassMIT
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Hreflang and International SEOAgriciDaniel/claude-seo19k5 repos~3.4kAutomated safety check: PassMIT
Referralscoreyhaines31/marketingskills54k2 repos~2.6kAutomated safety check: PassMIT
SEO GeoReScienceLab/opc-skills1.8k4 repos~2.1kAutomated safety check: PassApache-2.0

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Categories

Questions about Market Weather

What does Market Weather do?

Rate market weather by script: economy, competition, platform and regulatory shifts, scored. Market Weather is an agent skill from indranilbanerjee/digital-marketing-pro. Rate market weather by script: economy, competition, platform and regulatory shifts, scored.

When should I use Market Weather?

Market Weather fits situations like: marketing & SEO work in your project.

How do I install Market Weather in Claude Code?

Run `npx skills add indranilbanerjee/digital-marketing-pro --skill market-weather -a claude-code`. Or copy the skill folder (skills/market-weather in indranilbanerjee/digital-marketing-pro) into .claude/skills/market-weather in your project. Claude Code loads it when a task matches its description.

How do I install Market Weather in Codex?

Run `npx skills add indranilbanerjee/digital-marketing-pro --skill market-weather -a codex`. Or copy the skill folder (skills/market-weather in indranilbanerjee/digital-marketing-pro) into .agents/skills/market-weather in your project. Codex loads it when a task matches its description.

Can I use Market Weather 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 indranilbanerjee/digital-marketing-pro --skill market-weather -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/market-weather, .gemini/skills/market-weather, .github/skills/market-weather and .opencode/skills/market-weather in your project.

What does Market Weather need to run?

Going by SKILL.md and its folder, Market Weather needs the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Market Weather 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 Market Weather 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 Market Weather use?

Market Weather 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 Market Weather use?

About 1.7k tokens (SKILL.md is roughly 6.6k 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 Market Weather?

Skills that share tags, products or a category with Market Weather: Geo Fundamentals (wasp-lang/wasp, 19k stars), Ab Testing (coreyhaines31/marketingskills, 54k stars), Hreflang and International SEO (AgriciDaniel/claude-seo, 19k stars) and Referrals (coreyhaines31/marketingskills, 54k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Market Weather?

indranilbanerjee (a GitHub user) maintains it in indranilbanerjee/digital-marketing-pro, which has 862 GitHub stars. The repository holds 162 skills in this directory. The repository was last updated on October 9, 2026.

Source: indranilbanerjee/digital-marketing-pro on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.