roas-forecasting
Projects your ROAS for the next 30, 60, and 90 days based on current performance trends, seasonality patterns from your historical data, and planned budget or campaign changes. Gives you a range with confidence intervals, not a single number pretending to be precise. Platform: Google and Meta.
Install / Use
npx skills add irinabuht12-oss/marketing-skills --skill roas-forecastingInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Development & EngineeringSupported Platforms
Tags
Our assessment of roas-forecasting
roas-forecasting scores 80/100 on our quality scale, 2295th of 3,680 Development & Engineering skills we index.
Its SKILL.md is 2.7 KB long, split into 7 sections and no code examples: a solid amount of guidance for an agent.
With 1,836 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 6 days ago, so roas-forecasting is actively maintained.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 88/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.
Automated pattern scan on 2026-09-30. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
roas-forecasting compared with similar skills
All 4 of these similar skills score higher than roas-forecasting; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| roas-forecasting (this skill)by irinabuht12-oss | 80 | 1.8k | 6d ago | SKILL.md |
| ai-job-searchby MadsLorentzen | 100 | 44.5k | 1d ago | CLAUDE.md |
| claude-howtoby luongnv89 | 100 | 41.7k | 3d ago | CLAUDE.md |
| algorithmic-artby anthropics | 100 | 177.9k | 7d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 7d ago | SKILL.md |
Frequently asked questions
- How do I install roas-forecasting?
- Run
npx skills add irinabuht12-oss/marketing-skills --skill roas-forecasting. The install tabs above show the steps for each supported agent. - Which AI agents does roas-forecasting work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is roas-forecasting safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It declares no license and scores 88/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is roas-forecasting still maintained?
- The repository was last updated 6 days ago, so roas-forecasting is actively maintained.
Skill content
View source on GitHubname: roas-forecasting description: Projects your ROAS for the next 30, 60, and 90 days based on current performance trends, seasonality patterns from your historical data, and planned budget or campaign changes. Gives you a range with confidence intervals, not a single number pretending to be precise. Platform: Google and Meta. metadata: platform: Google and Meta
19/ ROAS Forecasting — Google + Meta
What it does
Projects your ROAS for the next 30, 60, and 90 days based on current performance trends, seasonality patterns from your historical data, and planned budget or campaign changes. Gives you a range with confidence intervals, not a single number pretending to be precise.
How it works
Claude takes your trailing performance data, identifies the trend line (improving, declining, or stable), overlays seasonal patterns from the same period in prior years if available, and factors in any known upcoming changes (budget shifts, new campaigns, creative launches). It produces a forecast range showing best case, expected case, and conservative case.
Practical example
Your ecommerce account is averaging 4.2x ROAS in March. Claude's analysis shows ROAS typically dips 15-20% in April based on last year's data (post-spring-sale slowdown), your top creative set is showing early fatigue signals that will reduce efficiency by ~10% over the next 30 days, and you're planning a 20% budget increase which historically reduces marginal ROAS by 8-12%. 30-day forecast: 3.1x (conservative) to 3.6x (expected) to 4.0x (best case, if new creatives outperform).
What you get back
- 30/60/90 day ROAS projections with confidence ranges
- Key assumptions behind each scenario (trend, seasonality, budget impact)
- Risk factors that could push results toward the conservative end
- Upside opportunities that could push toward best case
- Revenue projections at each ROAS level tied to planned spend
When to use it
- Monthly planning and client expectation setting
- Before committing to budget increases with stakeholders
- Quarterly business reviews where leadership wants revenue projections
- When seasonal shifts are approaching and you need to model the impact on efficiency
Data access (Ryze MCP)
This skill works best with live account data. Connect the free Ryze MCP once and Claude reads your Google Ads, Meta Ads, GA4 and Search Console directly:
- claude.ai / Claude Desktop: Settings → Connectors → Add custom connector →
https://connector.get-ryze.ai/mcp - Claude Code:
claude mcp add ryze --transport http https://connector.get-ryze.ai/mcp - Cursor: Settings → MCP → add the same URL
Setup guide: https://www.get-ryze.ai/how-to-connect-claude-to-google-meta-ads-mcp
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
