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Flintmere
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analytics

Generate insight briefs with recommended actions from aggregated marketing analytics exports.

Updated Apr 18, 2026
Search Tags:#analytics#marketing#metrics#insights#data-analysis#experimentation#briefs
One-click install
npx skills add https://github.com/Flintmere/flintmere --skill analytics-flintmere
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: analytics
Source: https://github.com/Flintmere/flintmere/tree/main/.claude/skills/analytics
Command: npx skills add https://github.com/Flintmere/flintmere --skill analytics-flintmere

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps teams turn aggregated marketing analytics exports into concise, decision-focused briefs, avoiding raw dashboards and exposing no PII.

Core Features & Use Cases

  • Aggregates data across surfaces to identify primary metrics per surface
  • Compares against prior periods
  • Generates action-oriented recommendations tied to memory/marketing metrics
  • Use Case: weekly marketing review and quarterly planning

Quick Start

Load the aggregated export under context/analytics/ (CSV or JSON) and generate a concise weekly/monthly insight brief with recommended actions.

Frequently Asked Questions about analytics

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate marketing analytics briefs from aggregated data exports?▼

Generate marketing analytics briefs by loading aggregated CSV or JSON exports into the context/analytics/ directory. The skill analyzes metrics across surfaces, compares them against prior periods, and outputs concise, action-oriented insight briefs.

Can I use aggregated marketing metrics for weekly review without exposing PII?▼

Yes, aggregated marketing metrics are processed read-only against local files to ensure no PII is exposed. The skill generates weekly or monthly review briefs that summarize surface performance and campaign experiments without handling individual user data.

What is the best way to turn homepage and campaign experiment data into recommended actions?▼

Turn homepage and campaign experiment data into recommended actions by analyzing aggregated exports against memory/marketing metrics and experiments. The skill identifies primary metrics per surface, compares historical performance, and outputs actionable recommendations to context/analytics/briefs/.

Does the analytics brief generation require a specific file format for the marketing data?▼

Analytics brief generation accepts aggregated marketing data exports in CSV or JSON file formats. Files must be placed locally under context/analytics/ so the read-only analysis process can extract surface metrics and generate the standardized insight briefs.

When should I not use automated insight briefs for my data analysis workflow?▼

Avoid using automated insight briefs if your data analysis workflow requires real-time dashboard monitoring or processing raw, non-aggregated exports. This skill is designed for periodic weekly or monthly reviews of already aggregated marketing analytics data stored in local files.

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