Metrikia Marketing Skills
Open-source Claude Skills for marketing analytics, attribution, and ad performance, by the team at Metrikia.
What is this?
Claude Skills are reusable expert workflows packaged as folders containing a SKILL.md file. Each skill teaches Claude a methodology for a specific marketing task. Once installed in Claude Code or the Claude apps, Claude applies a skill automatically when your request matches it, and you can also invoke one explicitly with /skill-name.
Skills include:
- Step-by-step workflow instructions
- Real-world examples and templates
- Best practices for interpreting results
- No vendor lock-in: works with your own data
Install
Option A: Claude Code Plugin Marketplace
If you have Claude Code installed:
/plugin marketplace add metrikia-io/marketing-skills
/plugin install marketing-skills@metrikia-marketing-skills
Option B: Manual Installation
Clone this repository and copy a skill folder into your local skills directory:
cp -r skills/attribution-model-analysis ~/.claude/skills/
Claude then applies the skill automatically when your request calls for attribution analysis, or you can invoke it explicitly with /attribution-model-analysis.
Skills
| Skill | Description |
|---|---|
attribution-model-analysis |
Compare and interpret multi-touch attribution models (first-touch, last-touch, linear, time-decay, U-shaped, W-shaped) on your own campaign data. Understand which touchpoints drive revenue and optimize your media mix. |
conversion-verifier |
Check whether the purchases your ad platform reports actually exist in your store. Produces a client-ready reconciliation report that separates the legitimate part of the gap (attribution windows, timezones, refunds, cross-channel overlap, view-through) from the part with no explanation. |
client-report-generator |
Turn a month of multi-channel ad exports and store data into a client-ready report: the numbers, the written analysis, and an honest note on what those numbers rest on. Compares against the previous period. |
Coming Soon
We are working on:
roas-mer-audit: Audit return on ad spend (ROAS) and marketing efficiency ratio (MER) across campaigns and channelsutm-taxonomy-audit: Validate and standardize UTM parameters across your marketing stackclosing-funnel-metrics: Analyze deal velocity, pipeline conversion, and revenue attribution through your closing funnel
Why Metrikia built this
Metrikia builds an ad tracking and revenue attribution platform for agencies and businesses focused on closing-funnel metrics. We work with marketing teams every day on how to interpret their campaign data, model customer journeys, and tie ad spend to actual revenue.
These skills share the methodology underlying the Metrikia product. We believe attribution and analytics are better when they're transparent, explainable, and accessible. Open-sourcing these workflows lets marketers and developers understand our approach and apply it to their own data.
Learn more at metrikia.io.
Contributing
We welcome contributions: new skills, improvements to existing ones, and bug reports.
See CONTRIBUTING.md for the skill quality bar and how to submit a pull request.
License
This project is licensed under the MIT License. See LICENSE for details.
Code of Conduct
Please review our Code of Conduct.
Security
If you discover a security concern, please see SECURITY.md.
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